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Salinas-Miranda E, Birosh A, McInnes MDF, Breau RH, Lam E, McGrath TA, Flood TA, Schieda N. NPV of Biparametric and Multiparametric Prostate MRI: A Comparative Systematic Review and Meta-Analysis. AJR Am J Roentgenol 2025:1-13. [PMID: 40042922 DOI: 10.2214/ajr.24.32328] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/20/2025]
Abstract
BACKGROUND. Evidence supports comparable PPV between biparametric MRI (bpMRI) and multiparametric MRI (mpMRI). However, concern regarding missed cancers limits wider adoption of bpMRI. OBJECTIVE. The purpose of this study was to compare bpMRI and mpMRI in terms of the NPV for clinically significant prostate cancer. EVIDENCE ACQUISITION. Multiple publication databases, trial registries, and conference proceedings were searched over varying time frames to identify studies reporting comparative results for bpMRI and mpMRI. Information was extracted for negative examinations (PI-RADS category or Likert scale score of 1 or 2), which were classified as true- or false-negative for clinically significant prostate cancer (International Society of Urological Pathology [ISUP] grade group ≥ 2), with a pathologic reference standard (biopsy and/or radical prostatectomy). Risk of bias was assessed using QUADAS-Comparative. Pooled NPVs were calculated using random-effects meta-analysis. EVIDENCE SYNTHESIS. The meta-analysis included 18 studies. Fifteen studies evaluated simulated bpMRI examinations (examinations performed as mpMRI but interpreted with the removal of dynamic contrast-enhancement images); three studies compared parallel arms of patients who underwent bpMRI or mpMRI. No study evaluated patients randomly allocated to undergo bpMRI or mpMRI. The reference standard of three studies included longitudinal follow-up biopsy. Pooled NPV was not significantly different between bpMRI (n = 2857 patients) and mpMRI (n = 2751 patients) overall (92% [95% CI, 89-94%] vs 92% [95% CI, 89-94%]; p = .90) in nine studies after exclusion of studies with a high risk of bias in at least one domain of QUADAS-Comparative (92% [95% CI, 86-95%] vs 92% [95% CI, 95-96%]; p = .83), in three studies of 1.5-T examinations only (89% [95% CI, 78-95%] vs 87% [95% CI, 77-93%]; p = .76), in 12 studies of 3-T examinations only (93% [95% CI, 90-95%] vs 93% [95% CI, 91-95%]; p = .90), in 12 studies of biopsy-naive patients only (92% [95% CI, 88-94%] vs 91% [95% CI, 89-93%]; p = .89), or in three studies of previously biopsied patients only (94% [95% CI, 89-97%] vs 94% [95% CI, 85-98%]; p = .95). CONCLUSION. This study found no evidence of a significant difference between bpMRI and mpMRI in terms of NPV for clinically significant prostate cancer. CLINICAL IMPACT. The results provide further support for bpMRI as an alternative to mpMRI in clinical practice. Future studies should include randomized designs with longitudinal follow-up. TRIAL REGISTRATION. PROSPERO identifier CRD42023491456.
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Affiliation(s)
- Emmanuel Salinas-Miranda
- Department of Radiology, The Ottawa Hospital, University of Ottawa, General Campus, 501 Smyth Rd, Ottawa, ON K1H 8L6, Canada
| | - Adam Birosh
- Department of Radiology, The Ottawa Hospital, University of Ottawa, General Campus, 501 Smyth Rd, Ottawa, ON K1H 8L6, Canada
| | - Matthew D F McInnes
- Department of Radiology, The Ottawa Hospital, University of Ottawa, General Campus, 501 Smyth Rd, Ottawa, ON K1H 8L6, Canada
| | - Rodney H Breau
- Department of Surgery, Division of Urology, The Ottawa Hospital, Ottawa, ON, Canada
| | - Eric Lam
- Ottawa Hospital Research Institute, Ottawa, ON, Canada
| | - Trevor A McGrath
- Department of Pathology, The Ottawa Hospital, Ottawa, ON, Canada
| | - Trevor A Flood
- Department of Diagnostic Radiology, QEII Health Sciences Centre, Dalhousie University, Halifax, NS, Canada
| | - Nicola Schieda
- Department of Radiology, The Ottawa Hospital, University of Ottawa, General Campus, 501 Smyth Rd, Ottawa, ON K1H 8L6, Canada
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Supriyadi MR, Samah ABA, Muliadi J, Awang RAR, Ismail NH, Majid HA, Othman MSB, Hashim SZBM. A systematic literature review: exploring the challenges of ensemble model for medical imaging. BMC Med Imaging 2025; 25:128. [PMID: 40251529 PMCID: PMC12007170 DOI: 10.1186/s12880-025-01667-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2024] [Accepted: 04/07/2025] [Indexed: 04/20/2025] Open
Abstract
BACKGROUND Medical imaging has been essential and has provided clinicians with useful information about the human body to diagnose various health issues. Early diagnosis of diseases based on medical imaging can mitigate the risk of severe consequences and enhance long-term health outcomes. Nevertheless, the task of diagnosing diseases based on medical imaging can be challenging due to the exclusive ability of clinicians to interpret the outcomes of medical imaging, which is time-consuming and susceptible to human fallibility. The ensemble model has the potential to enhance the accuracy of diagnoses of diseases based on medical imaging by analyzing vast volumes of data and identifying trends that may not be immediately apparent to doctors. However, it takes a lot of memory and processing resources to train and maintain several ensemble models. These challenges highlight the necessity of effective and scalable ensemble models that can manage the intricacies of medical imaging assignments. METHODS This study employed an SLR technique to explore the latest advancements and approaches. By conducting a thorough and systematic search of Scopus and Web of Science databases in accordance with the principles outlined in the PRISMA, employing keywords namely ensemble model and medical imaging. RESULTS This study included a total of 75 papers that were published between 2019 and 2024. The categorization, methodologies, and use of medical imaging were key factors examined in the analysis of the 30 cited papers included in this study, with a focus on diagnosing diseases. CONCLUSIONS Researchers have observed the emergence of an ensemble model for disease diagnosis using medical imaging since it has demonstrated improved accuracy and may guide future studies by highlighting the limitations of the ensemble model.
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Affiliation(s)
- Muhamad Rodhi Supriyadi
- Faculty of Computing, Universiti Teknologi Malaysia, Skudai, Johor, 81310, Malaysia
- Research Center for Artificial Intelligent and Cyber Security, National Research and Innovation Agency, Bandung, 40135, Indonesia
| | - Azurah Bte A Samah
- Faculty of Computing, Universiti Teknologi Malaysia, Skudai, Johor, 81310, Malaysia.
| | - Jemie Muliadi
- Research Center for Artificial Intelligent and Cyber Security, National Research and Innovation Agency, Bandung, 40135, Indonesia
| | - Raja Azman Raja Awang
- School of Dental Sciences, Universiti Sains Malaysia, Kota Bharu, Kelantan, 16150, Malaysia
| | - Noor Huda Ismail
- School of Dental Sciences, Universiti Sains Malaysia, Kota Bharu, Kelantan, 16150, Malaysia
| | - Hairudin Abdul Majid
- Faculty of Computing, Universiti Teknologi Malaysia, Skudai, Johor, 81310, Malaysia
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Veroniki AA, Hutton B, Stevens A, McKenzie JE, Page MJ, Moher D, McGowan J, Straus SE, Li T, Munn Z, Pollock D, Colquhoun H, Godfrey C, Smith M, Tufte J, Logan S, Catalá-López F, Tovey D, Franco JV, Chang S, Garritty C, Hartling L, Horsley T, Langlois EV, McInnes M, Offringa M, Welch V, Pritchard C, Khalil H, Mittmann N, Peters M, Konstantinidis M, Elsman EB, Kelly SE, Aldcroft A, Thirugnanasampanthar SS, Dourka J, Neupane D, Well G, Akl E, Wilson M, Soares-Weiser K, Tricco AC. Update to the PRISMA guidelines for network meta-analyses and scoping reviews and development of guidelines for rapid reviews: a scoping review protocol. JBI Evid Synth 2025; 23:517-526. [PMID: 39829235 PMCID: PMC11892999 DOI: 10.11124/jbies-24-00308] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/22/2025]
Abstract
OBJECTIVE The objective of this scoping review is to develop a list of items for potential inclusion in the Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) reporting guidelines for network meta-analysis (NMA), scoping reviews (ScRs), and rapid reviews (RRs). INTRODUCTION The PRISMA extensions for NMA and ScRs were published in 2015 and 2018. However, since then, their methodologies and innovations, including automation, have evolved. There is no reporting guideline for RRs. In 2020, an updated PRISMA statement was published, reflecting advances in the conduct and reporting of systematic reviews. These advances are not yet incorporated into these PRISMA extensions. We will update our previous methods for scoping reviews to inform the update of PRISMA-NMA and PRISMA-ScR as well as the development of the PRISMA-RR reporting guidelines. INCLUSION CRITERIA This review will include any study design evaluating the completeness of reporting, offering reporting guidance, or assessing methods relevant to NMA, ScRs, or RRs. Editorial guidelines and tutorials that describe items related to reporting completeness will also be eligible. METHODS We will follow the JBI guidance for scoping reviews. For each PRISMA extension, we will i) search multiple electronic databases from inception to present, ii) search for unpublished studies, and iii) scan the reference lists of included studies. There will be no language limitations. Screening and data extraction will be conducted by 2 researchers independently. A third researcher will resolve discrepancies. We will conduct frequency analyses of the identified items. The final list of items will be considered for potential inclusion in the relevant PRISMA reporting guidelines. REVIEW REGISTRATION NMA protocol (OSF: osf.io/7bkwy ); ScR protocol (OSF: osf.io/7bkwy ); RR protocol (OSF: osf.io/3jcpe ); EQUATOR registration link: https://www.equator-network.org/library/reporting-guidelines-under-development/reporting-guidelines-under-development-for-systematic-reviews/.
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Affiliation(s)
- Areti Angeliki Veroniki
- Knowledge Translation Program, Li Ka Shing Knowledge Institute, St. Michael’s Hospital, Toronto, ON, Canada
- Institute for Health Policy, Management, and Evaluation, University of Toronto, Toronto, ON, Canada
| | - Brian Hutton
- Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, ON, Canada
- Ottawa University School of Epidemiology and Public Health, Ottawa, ON, Canada
| | - Adrienne Stevens
- Centre for Immunization Programs, Infectious Diseases and Vaccination Programs Branch, Public Health Agency of Canada, Ottawa, ON, Canada
| | - Joanne E. McKenzie
- Methods in Evidence Synthesis Unit, School of Public Health and Preventive Medicine, Monash University, Melbourne, Vic, Australia
| | - Matthew J. Page
- Methods in Evidence Synthesis Unit, School of Public Health and Preventive Medicine, Monash University, Melbourne, Vic, Australia
| | - David Moher
- Ottawa Hospital Research Institute, Ottawa, ON, Canada
| | - Jessie McGowan
- School of Epidemiology and Public Health, University of Ottawa, Ottawa, ON, Canada
| | - Sharon E. Straus
- Knowledge Translation Program, Li Ka Shing Knowledge Institute, St. Michael’s Hospital, Toronto, ON, Canada
- Institute for Health Policy, Management, and Evaluation, University of Toronto, Toronto, ON, Canada
- Department of Geriatric Medicine, University of Toronto, Toronto, ON, Canada
| | - Tianjing Li
- Department of Ophthalmology, School of Medicine, University of Colorado Denver, Denver, CO, USA
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Zachary Munn
- Health Evidence Synthesis, Recommendations and Impact (HESRI), School of Public Health, University of Adelaide, Adelaide, SA, Australia
| | - Danielle Pollock
- Health Evidence Synthesis, Recommendations and Impact (HESRI), School of Public Health, University of Adelaide, Adelaide, SA, Australia
| | - Heather Colquhoun
- Occupational Science and Occupational Therapy, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada
| | - Christina Godfrey
- Queen’s Collaboration for Health Care Quality: A JBI Centre of Excellence, School of Nursing, Faculty of Health Sciences, Queen’s University, Kingston, ON, Canada
| | - Maureen Smith
- Patient Partner, Cochrane Consumer Network Executive, London, United Kingdom
| | - Janice Tufte
- Patient Partner, Cochrane Consumer, Patient-Centered Outcomes Research Institute (PCORI) Ambassador, Washington, DC, USA
| | - Sherrie Logan
- Starzl Network for Excellence in Pediatric Transplantation, Pittsburgh, PA, USA
- Canadian Donation and Transplantation Research Program, Edmonton, AB, Canada
- Patient Partner Reviewer, Canadian Institute of Health Research, Ottawa, ON, Canada
- Pediatric Families and Engaged Partners, Society of Pediatric Liver Transplantation, Montreal, QC, Canada
- Master of Public Health (Health Promotion) Graduate Program, University of Alberta, Edmonton, AB, Canada
| | - Ferrán Catalá-López
- Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, ON, Canada
- Center for Human and Social Sciences (CCHS-IPP), Spanish National Research Council (CSIC), Madrid, Spain
- Department of Health Planning and Economics, National School of Public Health, Institute of Health Carlos III, Madrid, Spain
| | - David Tovey
- Journal of Clinical Epidemiology, Sussex, United Kingdom
| | - Juan V.A. Franco
- Institute of General Practice, Medical Faculty of the Heinrich-Heine-University Düsseldorf, Düsseldorf, Germany
- BMJ Evidence Based Medicine, London, United Kingdom
| | | | - Chantelle Garritty
- School of Epidemiology and Public Health, University of Ottawa, Ottawa, ON, Canada
- Public Health Agency of Canada, Ottawa, ON, Canada
| | - Lisa Hartling
- Alberta Research Centre for Health Evidence, Department of Pediatrics, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, AB, Canada
| | - Tanya Horsley
- Research and Evaluation, Royal College of Physicians and Surgeons, Ottawa, ON, Canada
| | - Etienne V. Langlois
- Partnership for Maternal, Newborn and Child Health, World Health Organization, Geneva, Switzerland
| | - Matthew McInnes
- Ottawa Hospital Research Institute, Ottawa, ON, Canada
- Departments of Radiology and Epidemiology, University of Ottawa, Ottawa, ON, Canada
| | - Martin Offringa
- Child Health, Evaluative Sciences, Hospital for Sick Children, Toronto, ON, Canada
| | | | - Chris Pritchard
- Institute of Health and Allied Professions, Nottingham Trent University, Nottingham, United Kingdom
| | - Hanan Khalil
- La Trobe University, School of Psychology and Public Health, Melbourne, Vic, Australia
| | - Nicole Mittmann
- Canadian Agency for Drugs and Technologies in Health, Ottawa, ON, Canada
| | - Micah Peters
- Health Evidence Synthesis, Recommendations and Impact (HESRI), School of Public Health, University of Adelaide, Adelaide, SA, Australia
- Rosemary Bryant AO Research Centre, Clinical and Health Sciences University of South Australia, Adelaide, SA, Australia
- School of Nursing, Health and Medical Sciences, University of Adelaide, Adelaide, SA, Australia
- The Danish Centre of Systematic Reviews: A JBI Centre of Excellence, Department of Clinical Medicine, Aalborg University, Aalborg, Denmark
| | - Menelaos Konstantinidis
- Knowledge Translation Program, Li Ka Shing Knowledge Institute, St. Michael’s Hospital, Toronto, ON, Canada
| | - Ellen B.M. Elsman
- Amsterdam UMC, Vrije Universiteit Amsterdam, Epidemiology and Data Science, Amsterdam Public Health Research Institute, Amsterdam, Netherlands
| | - Shannon E. Kelly
- Cardiovascular Research Methods Centre, University of Ottawa Heart Institute, Ottawa, ON, Canada
| | | | | | - Jasmeen Dourka
- Knowledge Translation Program, Li Ka Shing Knowledge Institute, St. Michael’s Hospital, Toronto, ON, Canada
| | - Dipika Neupane
- Knowledge Translation Program, Li Ka Shing Knowledge Institute, St. Michael’s Hospital, Toronto, ON, Canada
| | - George Well
- School of Epidemiology and Public Health, University of Ottawa, Ottawa, ON, Canada
- Cardiovascular Research Methods Centre, University of Ottawa Heart Institute, Ottawa, ON, Canada
- Department of Medicine, University of Ottawa, Ottawa, ON, Canada
| | - Elie Akl
- American University of Beirut, Beirut, Lebanon
| | - Michael Wilson
- Health Research Methods, Evidence and Impact, Faculty of Health Sciences, McMaster University, Hamilton, ON, Canada
| | | | - Andrea C. Tricco
- Knowledge Translation Program, Li Ka Shing Knowledge Institute, St. Michael’s Hospital, Toronto, ON, Canada
- Epidemiology Division and Institute of Health Policy, Management, and Evaluation, Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada
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Puga-Tejada M, Majumder S, Maeda Y, Zammarchi I, Ditonno I, Santacroce G, Capobianco I, Robles-Medranda C, Ghosh S, Iacucci M. Artificial intelligence-enabled histology exhibits comparable accuracy to pathologists in assessing histological remission in ulcerative colitis: a systematic review, meta-analysis, and meta-regression. J Crohns Colitis 2025; 19:jjae198. [PMID: 39742395 PMCID: PMC11724188 DOI: 10.1093/ecco-jcc/jjae198] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/05/2024] [Indexed: 01/03/2025]
Abstract
BACKGROUND AND AIMS Achieving histological remission is a desirable emerging treatment target in ulcerative colitis (UC), yet its assessment is challenging due to high inter- and intraobserver variability, reliance on experts, and lack of standardization. Artificial intelligence (AI) holds promise in addressing these issues. This systematic review, meta-analysis, and meta-regression evaluated the AI's performance in assessing histological remission and compared it with that of pathologists. METHODS We searched Medline/PubMed and Scopus databases from inception to September 2024. We included studies on AI models assessing histological activity in UC, with or without comparison to pathologists. Pooled performance metrics were calculated: sensitivity, specificity, positive and negative predictive value (PPV and NPV), observed agreement, and F1 score. A pairwise meta-analysis compared AI and pathologists, while sub-meta-analysis and meta-regression evaluated heterogeneity and factors influencing AI performance. RESULTS Twelve studies met the inclusion criteria. AI models exhibited strong performance with a pooled sensitivity of 0.84 (95% CI, 0.80-0.88), specificity 0.87 (0.84-0.91), PPV 0.90 (0.87-0.92), NPV 0.80 (0.71-0.88), observed agreement 0.85 (0.82-0.89), and F1 score 0.85 (0.82-0.89). AI models demonstrated no significant differences with pathologists for specificity, observed agreement, and F1 score, while they were outperformed by pathologists for sensitivity and NPV. AI models for the adult population were linked to reduced heterogeneity and enhanced AI performance at meta-regression. CONCLUSIONS AI shows significant potential for assessing histological remission in UC and performs comparably to pathologists. Future research should focus on standardized, large-scale studies to minimize heterogeneity and support widespread AI implementation in clinical practice.
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Affiliation(s)
- Miguel Puga-Tejada
- APC Microbiome Ireland, College of Medicine and Health, University College Cork (UCC), Cork, Ireland
- Instituto Ecuatoriano de Enfermedades Digestivas (IECED), Guayaquil, Ecuador
| | - Snehali Majumder
- APC Microbiome Ireland, College of Medicine and Health, University College Cork (UCC), Cork, Ireland
| | - Yasuharu Maeda
- APC Microbiome Ireland, College of Medicine and Health, University College Cork (UCC), Cork, Ireland
| | - Irene Zammarchi
- APC Microbiome Ireland, College of Medicine and Health, University College Cork (UCC), Cork, Ireland
| | - Ilaria Ditonno
- APC Microbiome Ireland, College of Medicine and Health, University College Cork (UCC), Cork, Ireland
| | - Giovanni Santacroce
- APC Microbiome Ireland, College of Medicine and Health, University College Cork (UCC), Cork, Ireland
| | - Ivan Capobianco
- APC Microbiome Ireland, College of Medicine and Health, University College Cork (UCC), Cork, Ireland
| | | | - Subrata Ghosh
- APC Microbiome Ireland, College of Medicine and Health, University College Cork (UCC), Cork, Ireland
| | - Marietta Iacucci
- APC Microbiome Ireland, College of Medicine and Health, University College Cork (UCC), Cork, Ireland
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Wade RG, Bourke G, Olaru AM, Williams SR, Shelley D, Plein S, Bains RD, Bedford JD, Newton LEH, Ng CY, Parkes L, Lea-Carnall C. Cortical Neurotransmitters Measured by Magnetic Resonance Spectroscopy Change Following Traumatic Brachial Plexus Injury. J Brachial Plex Peripher Nerve Inj 2025; 20:e16-e25. [PMID: 39882549 PMCID: PMC11774636 DOI: 10.1055/a-2505-5657] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/12/2024] [Accepted: 12/18/2024] [Indexed: 01/31/2025] Open
Abstract
Introduction GABA (γ-aminobutyric acid) is the major inhibitory neurotransmitter in the brain. In response to injury within the central nervous system, GABA promotes cortical plasticity and represents a potential pharmacological target to improve functional recovery. However, it is unclear how GABA changes in the brain after traumatic brachial plexus injuries (tBPIs) which represents the rationale for this pilot study. Methods We serially scanned seven males (mean age 42 years [SD 19] without head injury) up to 19 months after tBPIs. T1-weighted images (1-mm isotropic resolution) and J-edited spectra (MEscher-GArwood Point RESolved Spectroscopy [MEGA-PRESS], TE 68 ms, TR 2,000 ms, 2 cm isotropic voxels) were acquired using a MAGNETOM Prisma 3T (Siemens Healthcare, Erlangen, Germany). Data were analyzed in jMRUI blind to clinical information to quantify GABA, creatine plus phosphocreatine (Cr), and N-acetylaspartate (NAA) concentrations. Additionally, gray matter and white matter proportions were assessed using SPECTRIM software. Interhemispheric means were compared using linear methods. Confidence intervals (CIs) were generated to the 95% level. Results Within weeks of injury, the hemisphere representing the injured upper limb had a significantly lower GABA:NAA ratio (mean difference 0.23 [CI 0.06-0.40]) and GABA:Cr ratio (mean difference 0.75 [CI 0.24-1.25]) than the uninjured side. There were no interhemispheric differences in NAA:Cr. By 12 months post-injury, interhemispheric differences in metabolite concentrations equalized. There was no difference in the proportion of gray matter, white matter, or cerebrospinal fluid between the injured and uninjured hemispheres. Conclusion After brachial plexus injuries, there are interhemispheric differences in GABA concentrations within the sensory and motor cortex. This represents a potential pharmacological target that warrants further investigation.
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Affiliation(s)
- Ryckie G. Wade
- Department of Plastic and Reconstructive Surgery, Leeds Teaching Hospitals Trust, Leeds, United Kingdom
- Leeds Institute for Medical Research, University of Leeds, Leeds, United Kingdom
| | - Gráinne Bourke
- Department of Plastic and Reconstructive Surgery, Leeds Teaching Hospitals Trust, Leeds, United Kingdom
- Leeds Institute for Medical Research, University of Leeds, Leeds, United Kingdom
| | - Alexandra M. Olaru
- Siemens Healthcare Ltd., Park View, Watchmoor Park, Camberley, Surrey, United Kingdom
| | - Stephen R. Williams
- Division of Informatics, Imaging and Data Sciences, University of Manchester, Manchester, United Kingdom
| | - David Shelley
- The Advanced Imaging Centre, University of Leeds, Leeds, United Kingdom
| | - Sven Plein
- Leeds Institute for Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, United Kingdom
| | - Robert D. Bains
- Department of Plastic and Reconstructive Surgery, Leeds Teaching Hospitals Trust, Leeds, United Kingdom
| | - James D. Bedford
- Department of Plastic Surgery and Burns, Manchester University NHS Foundation Trust, United Kingdom
| | - Lucy E. Homer Newton
- Department of Plastic Surgery and Burns, Manchester University NHS Foundation Trust, United Kingdom
| | - Chye Yew Ng
- Wrightington Wigan and Leigh NHS Foundation Trust, Wigan, United Kingdom
| | - Laura Parkes
- School of Health Sciences, Manchester Academic Health Science Centre, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, United Kingdom
| | - Caroline Lea-Carnall
- School of Health Sciences, Manchester Academic Health Science Centre, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, United Kingdom
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Adamo RG, Lam E, Salameh JP, van der Pol CB, Goins SM, Dawit H, Costa AF, Levis B, Singal AG, Chernyak V, Sirlin CB, Bashir MR, Tang A, Alhasan A, Allen BC, Reiner CS, Clarke C, Ludwig DR, Cerny M, Wang J, Hyun Choi S, Fraum TJ, Song B, Joo I, Yeon Kim S, Kwon H, Jiang H, Kang HJ, Kierans AS, Kim YY, Ronot M, Podgórska J, Rosiak G, Soo Song J, McInnes MDF. Do Risk Factors for HCC Impact the Association of CT/MRI LIRADS Major Features With HCC? An Individual Participant Data Meta-Analysis. Can Assoc Radiol J 2024:8465371241306297. [PMID: 39733353 DOI: 10.1177/08465371241306297] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2024] Open
Abstract
Background: Guidelines suggest the Liver Imaging Reporting and Data System (LI-RADS) may not be applicable for some populations at risk for hepatocellular carcinoma (HCC). However, data assessing the association of HCC risk factors with LI-RADS major features are lacking. Purpose: To evaluate whether the association between HCC risk factors and each CT/MRI LI-RADS major feature differs among individuals at-risk for HCC. Methods: Databases (MEDLINE, Embase, Cochrane Central Register of Controlled Trials, and Scopus) were searched from 2014 to 2022. Individual participant data (IPD) were extracted from studies evaluating HCC diagnosis using CT/MRI LI-RADS and reporting HCC risk factors. IPD from studies were pooled and modelled with one-stage meta-regressions. Interactions were assessed between major features and HCC risk factors, including age, sex, cirrhosis, chronic hepatitis B virus (HBV), and study location. A mixed effects model that included the major features, as well as separate models that included interactions between each risk factor and each major feature, were fit. Differences in interactions across levels of each risk factor were calculated using adjusted odds-ratios (ORs), 95% confidence-intervals (CI), and z-tests. Risk of bias was assessed using QUADAS-2. (Protocol: https://osf.io/tdv7j/). Results: Across 23 studies (2958 patients and 3553 observations), the associations between LI-RADS major features and HCC were consistent across several HCC risk factors (P-value range: .09-.99). A sensitivity analysis among the 4 studies with a low risk of bias did not differ from the primary analysis. Conclusion: The association between CT/MRI LI-RADS major features and HCC risk factors do not significantly differ in individuals at-risk for HCC. These findings suggest that CT/MR LI-RADS should be applied to all patients considered at risk by LI-RADS without modification or exclusions, regardless of the presence or absence of the risk factors evaluated in this study.
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Affiliation(s)
- Robert G Adamo
- Faculty of Medicine at The University of Ottawa, Ottawa, ON, Canada
| | - Eric Lam
- Ottawa Hospital Research Institute, Ottawa, ON, Canada
| | | | - Christian B van der Pol
- Juravinski Hospital and Cancer Centre, Hamilton Health Sciences, McMaster University, Hamilton, ON, Canada
| | | | - Haben Dawit
- Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, ON, Canada
| | - Andreu F Costa
- Department of Diagnostic Radiology, Queen Elizabeth II Health Sciences Centre and Dalhousie University, Halifax, NS, Canada
| | - Brooke Levis
- Centre for Clinical Epidemiology, Lady Davis Institute for Medical Research, Jewish General Hospital, Montreal, QC, Canada
| | - Amit G Singal
- Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Victoria Chernyak
- Department of Radiology, Columbia University Irving Medical Center, New York, NY, USA
| | - Claude B Sirlin
- Liver Imaging Group, Department of Radiology, UC San Diego, La Jolla, CA, USA
| | - Mustafa R Bashir
- Departments of Radiology and Medicine, Duke University Medical Center, Durham, NC, USA
- Center for Advanced Magnetic Resonance Development, Duke University Medical Center, Durham, NC, USA
- Department of Radiology, University of North Carolina, Chapel Hill, NC, USA
| | - An Tang
- Department of Radiology, Centre Hospitalier de l'Université de Montréal, Montréal, QC, Canada
| | - Ayman Alhasan
- Department of Radiology, College of Medicine, Taibah University, Medina, Saudi Arabia
- Department of Radiology, King Faisal Specialist Hospital and Research Centre, Medina, Saudi Arabia
| | - Brian C Allen
- Department of Radiology, Duke University Medical Center, Durham, NC, USA
| | - Caecilia S Reiner
- Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, Zurich, Switzerland
| | - Christopher Clarke
- Department of Radiology, Nottingham University Hospitals NHS Trust, Nottingham, UK
| | - Daniel R Ludwig
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO, USA
| | - Milena Cerny
- Centre de Recherche du Centre Hospitalier de l'Université de Montréal, Montreal, QC, Canada
| | - Jin Wang
- Department of Radiology, The Third Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, P.R. China
| | - Sang Hyun Choi
- Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
| | - Tyler J Fraum
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO, USA
| | - Bin Song
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Ijin Joo
- Department of Radiology, Seoul National University College of Medicine, Jongno-gu, Seoul, South Korea
| | - So Yeon Kim
- Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
| | - Heejin Kwon
- Department of Radiology, Dong-A University Hospital, Dong-A University College of Medicine, Seogu, Busan, South Korea
| | - Hanyu Jiang
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Hyo-Jin Kang
- Department of Radiology, Seoul National University Hospital, Seoul, South Korea
| | | | - Yeun-Yoon Kim
- Department of Radiology, Severance Hospital, Yonsei University College of Medicine, Seoul, South Korea
| | - Maxime Ronot
- Department of Radiology, Hôpital Beaujon, APHP.Nord, Clichy & Université Paris Cité, CRI UMR 1149, Paris, France
| | - Joanna Podgórska
- 2nd Radiology Department, Warsaw Medical University, Warsaw, Poland
| | - Grzegorz Rosiak
- 2nd Radiology Department, Warsaw Medical University, Warsaw, Poland
| | - Ji Soo Song
- Department of Radiology, Jeonbuk National University Medical School and Hospital, Jeonju, Jeonbuk, South Korea
| | - Matthew D F McInnes
- Rm c-159 Departments of Radiology and Epidemiology, University of Ottawa, Ottawa, ON, Canada
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7
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Haghshomar M, Antonacci D, Smith AD, Thaker S, Miller FH, Borhani AA. Diagnostic Accuracy of CT for the Detection of Hepatic Steatosis: A Systematic Review and Meta-Analysis. Radiology 2024; 313:e241171. [PMID: 39499183 DOI: 10.1148/radiol.241171] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2024]
Abstract
Background CT plays an important role in the opportunistic identification of hepatic steatosis. CT performance for steatosis detection has been inconsistent across various studies, and no clear guidelines on optimum thresholds have been established. Purpose To conduct a systematic review and meta-analysis to assess CT diagnostic accuracy in hepatic steatosis detection and to determine reliable cutoffs for the commonly mentioned measures in the literature. Materials and Methods A systematic search of the PubMed, Embase, and Scopus databases (English-language studies published from September 1977 to January 2024) was performed. Studies evaluating the diagnostic accuracy of noncontrast CT (NCCT), contrast-enhanced (CECT), and dual-energy CT (DECT) for hepatic steatosis detection were included. Reference standards included biopsy, MRI proton density fat fraction (PDFF), or NCCT. In several CECT and DECT studies, NCCT was used as the reference standard, necessitating subgroup analysis. Statistical analysis included a random-effects meta-analysis, assessment of heterogeneity with use of the I2 statistic, and meta-regression to explore potential sources of heterogeneity. When available, mean liver attenuation, liver-spleen attenuation difference, liver to spleen attenuation ratio, and the DECT-derived fat fraction for hepatic steatosis diagnosis were assessed. Results Forty-two studies (14 186 participants) were included. NCCT had a sensitivity and specificity of 72% and 88%, respectively, for steatosis (>5% fat at biopsy) detection and 82% and 94% for at least moderate steatosis (over 20%-33% fat at biopsy) detection. CECT had a sensitivity and specificity of 66% and 90% for steatosis detection and 68% and 93% for at least moderate steatosis detection. DECT had a sensitivity and specificity of 85% and 88% for steatosis detection. In the subgroup analysis, the sensitivity and specificity for detecting steatosis were 80% and 99% for CECT and 84% and 93% for DECT. There was heterogeneity among studies focusing on CECT and DECT. Liver attenuation less than 40-45 HU, liver-spleen attenuation difference less than -5 to 0 HU, and liver to spleen attenuation ratio less than 0.9-1 achieved high specificity for detection of at least moderate steatosis. Conclusion NCCT showed high performance for detection of at least moderate steatosis. © RSNA, 2024 Supplemental material is available for this article.
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Affiliation(s)
- Maryam Haghshomar
- From the Department of Radiology, Northwestern University Feinberg School of Medicine, 676 N St. Clair St, Arkes Family Pavilion, Ste 800, Chicago, IL 60611 (M.H., D.A., S.T., F.H.M., A.A.B.); and Department of Diagnostic Imaging, St. Jude Children's Research Hospital, Memphis, Tenn (A.D.S.)
| | - Dominic Antonacci
- From the Department of Radiology, Northwestern University Feinberg School of Medicine, 676 N St. Clair St, Arkes Family Pavilion, Ste 800, Chicago, IL 60611 (M.H., D.A., S.T., F.H.M., A.A.B.); and Department of Diagnostic Imaging, St. Jude Children's Research Hospital, Memphis, Tenn (A.D.S.)
| | - Andrew D Smith
- From the Department of Radiology, Northwestern University Feinberg School of Medicine, 676 N St. Clair St, Arkes Family Pavilion, Ste 800, Chicago, IL 60611 (M.H., D.A., S.T., F.H.M., A.A.B.); and Department of Diagnostic Imaging, St. Jude Children's Research Hospital, Memphis, Tenn (A.D.S.)
| | - Sarang Thaker
- From the Department of Radiology, Northwestern University Feinberg School of Medicine, 676 N St. Clair St, Arkes Family Pavilion, Ste 800, Chicago, IL 60611 (M.H., D.A., S.T., F.H.M., A.A.B.); and Department of Diagnostic Imaging, St. Jude Children's Research Hospital, Memphis, Tenn (A.D.S.)
| | - Frank H Miller
- From the Department of Radiology, Northwestern University Feinberg School of Medicine, 676 N St. Clair St, Arkes Family Pavilion, Ste 800, Chicago, IL 60611 (M.H., D.A., S.T., F.H.M., A.A.B.); and Department of Diagnostic Imaging, St. Jude Children's Research Hospital, Memphis, Tenn (A.D.S.)
| | - Amir A Borhani
- From the Department of Radiology, Northwestern University Feinberg School of Medicine, 676 N St. Clair St, Arkes Family Pavilion, Ste 800, Chicago, IL 60611 (M.H., D.A., S.T., F.H.M., A.A.B.); and Department of Diagnostic Imaging, St. Jude Children's Research Hospital, Memphis, Tenn (A.D.S.)
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8
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Elmi N, McEvoy D, McInnes MDF, Alabousi M, Hecht EM, Luk L, Asghar S, Jajodia A, de Carvalho TL, Warnica WJ, Zha N, Ullah S, van der Pol CB. Percentage of Pancreatic Cysts on MRI With a Pancreatic Carcinoma: Systematic Review and Meta-Analysis. J Magn Reson Imaging 2024; 60:1063-1075. [PMID: 38053468 DOI: 10.1002/jmri.29168] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2023] [Revised: 11/20/2023] [Accepted: 11/20/2023] [Indexed: 12/07/2023] Open
Abstract
BACKGROUND Pancreatic cystic lesions (PCLs) are frequent on MRI and are thought to be associated with pancreatic adenocarcinoma (PDAC) necessitating long-term surveillance based on older studies suffering from selection bias. PURPOSE To establish the percentage of patients with PCLs on MRI with a present or future PDAC. STUDY TYPE Systematic review, meta-analysis. POPULATION Adults with PCLs on MRI and a present or future diagnosis of PDAC were eligible. MEDLINE, EMBASE, Cochrane Central Register of Controlled Trials, and Scopus were searched to April 2022 (PROSPERO:CRD42022320502). Studies limited to PCLs not requiring surveillance, <100 patients, or those with a history/genetic risk of PDAC were excluded. FIELD STRENGTH/SEQUENCE ≥1.5 T with ≥1 T2-weighted sequence. ASSESSMENT Two investigators extracted data, with discrepancies resolved by a third. QUADAS-2 assessed bias. PDAC was diagnosed using a composite reference standard. STATISTICAL TESTS A meta-analysis of proportions was performed at the patient-level with 95% confidence intervals (95% CI). RESULTS Eight studies with 1289 patients contributed to the percentage of patients with a present diagnosis of PDAC, and 10 studies with 3422 patients to the percentage with a future diagnosis. Of patients with PCLs on MRI, 14.8% (95% CI 2.4-34.9) had a PDAC at initial MRI, which decreased to 6.0% (2.2-11.3) for studies at low risk of bias. For patients without PDAC on initial MRI, 2.0% (1.1-3.2) developed PDAC during surveillance, similar for low risk of bias studies at 1.9% (0.7-3.6), with no clear trend of increased PDAC for longer surveillance durations. For patients without worrisome features or high-risk stigmata, 0.9% (0.1-2.2) developed PDAC during surveillance. Of 10, eight studies had a median surveillance ≥3 years (range 3-157 months). Sources of bias included retrospectively limiting PCLs to those with histopathology and inconsistent surveillance protocols. DATA CONCLUSION A low percentage of patients with PCLs on MRI develop PDAC while on surveillance. The first MRI revealing a PCL should be scrutinized for PDAC. LEVEL OF EVIDENCE 3 TECHNICAL EFFICACY: Stage 2.
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Affiliation(s)
- Nika Elmi
- Department of Medical Imaging, Faculty of Health Sciences, McMaster University, Hamilton, Ontario, Canada
| | - David McEvoy
- Department of Medical Imaging, Faculty of Health Sciences, McMaster University, Hamilton, Ontario, Canada
| | - Matthew D F McInnes
- Department of Radiology and Epidemiology, University of Ottawa, Ottawa, Ontario, Canada
- Department of Medical Imaging, Ottawa Hospital Research Institute Clinical Epidemiology Program, The Ottawa Hospital-Civic Campus, Ottawa, Ontario, Canada
| | - Mostafa Alabousi
- Department of Medical Imaging, Faculty of Health Sciences, McMaster University, Hamilton, Ontario, Canada
| | - Elizabeth M Hecht
- Department of Radiology, Weill Cornell Medicine, New York, New York, USA
| | - Lyndon Luk
- Department of Radiology, New York Presbyterian-Columbia University Medical Center, New York, New York, USA
| | - Sunna Asghar
- Department of Medical Imaging, Faculty of Health Sciences, McMaster University, Hamilton, Ontario, Canada
| | - Ankush Jajodia
- Department of Medical Imaging, Faculty of Health Sciences, McMaster University, Hamilton, Ontario, Canada
| | - Tiago Lins de Carvalho
- Department of Medical Imaging, Faculty of Health Sciences, McMaster University, Hamilton, Ontario, Canada
| | - William J Warnica
- Department of Medical Imaging, Faculty of Health Sciences, McMaster University, Hamilton, Ontario, Canada
| | - Nanxi Zha
- Department of Medical Imaging, Faculty of Health Sciences, McMaster University, Hamilton, Ontario, Canada
| | - Sadaf Ullah
- Library Services, Unity Health Toronto St. Michael's Hospital, East Li Ka Shing Knowledge Institute, Toronto, Ontario, Canada
| | - Christian B van der Pol
- Department of Medical Imaging, Faculty of Health Sciences, McMaster University, Hamilton, Ontario, Canada
- Department of Diagnostic Imaging, Juravinski Hospital and Cancer Centre, Hamilton Health Sciences, Hamilton, Ontario, Canada
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9
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Fu Z, Wang Y, Wang Y, Shi S, Li Y, Zhang B, Wu H, Song Q. Linking abnormal fat distribution with HFpEF and diastolic dysfunction: a systematic review, meta-analysis, and meta-regression of observational studies. Lipids Health Dis 2024; 23:277. [PMID: 39217346 PMCID: PMC11365188 DOI: 10.1186/s12944-024-02266-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2024] [Accepted: 08/19/2024] [Indexed: 09/04/2024] Open
Abstract
BACKGROUND The global prevalence of obesity has escalated into a formidable health challenge intricately linked with the risk of developing cardiac diastolic disfunction and heart failure with preserved ejection fraction (HFpEF). Abnormal fat distribution is potentially strongly associated with an increased risk of cardiac diastolic dysfunction, and we aimed to scrutinize and elucidate the correlation between them. METHODS Following the Cochrane Handbook and PRISMA 2020 guidelines, we systematically reviewed the literature from PubMed, Embase, and Web of Science. We focused on studies reporting the mean and standard deviation (SD) of abnormal fat in HFpEF or cardiac diastolic dysfunction patients and the Pearson/Spearman correlation coefficients for the relationship between abnormal fat distribution and the risk of developing cardiac diastolic dysfunction. Data were standardized to the standard mean difference (SMD) and Fisher's z value for meta-analysis. RESULTS After progressive filtering and selection, 63 studies (43,113 participants) were included in the quantitative analyses. Abnormal fat distribution was significantly greater in participants with cardiac diastolic dysfunction than in controls [SMD 0.88 (0.69, 1.08)], especially in epicardial adipose tissue [SMD 0.99 (0.73, 1.25)]. Abnormal fat distribution was significantly correlated with the risk of developing cardiac diastolic dysfunction [E/E': 0.23 (0.18, 0.27), global longitudinal strain: r=-0.11 (-0.24, 0.02)]. Meta-regression revealed sample size as a potential heterogeneous source, and subgroup analyses revealed a stronger association between abnormal fat distribution and the risk of developing cardiac diastolic dysfunction in the overweight and obese population. CONCLUSION Abnormal fat distribution was significantly associated with the risk of developing cardiac diastolic dysfunction. TRIAL REGISTRATION CRD42024543774.
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Affiliation(s)
- Zhenyue Fu
- Department of General Internal Medicine, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China
- Beijing University of Chinese Medicine, Beijing, China
| | - Yajiao Wang
- Department of General Internal Medicine, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Yuxin Wang
- Department of General Internal Medicine, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Shuqing Shi
- Department of General Internal Medicine, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Yumeng Li
- Department of General Internal Medicine, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Bingxuan Zhang
- Department of General Internal Medicine, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Huaqin Wu
- Department of Cardiovascular, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Qingqiao Song
- Department of General Internal Medicine, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China.
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Ye W, Teig N, Blömeke S. Systematic review of protective factors related to academic resilience in children and adolescents: unpacking the interplay of operationalization, data, and research method. Front Psychol 2024; 15:1405786. [PMID: 39233882 PMCID: PMC11371752 DOI: 10.3389/fpsyg.2024.1405786] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2024] [Accepted: 08/07/2024] [Indexed: 09/06/2024] Open
Abstract
Identifying protective factors that promote academic resilience is vital. Nevertheless, due to the variations in the operationalizations of academic resilience, timeframes, data sources, and employed research methods, it remains unclear whether the impact of protective factors identified across studies can be attributed to the factors themselves or to these variations. By addressing these uncertainties, this study aims to provide an overview of the protective factors that have been extensively investigated in academic resilience and their degree of influence. A literature search found 119 empirical studies on protective factors in education settings for children and adolescents. The review analyzed five protective factors groups (individual, family, school, peer, community), three operationalizations of academic resilience (simultaneous, progressive, instrumental), two timeframes (longitudinal, non-longitudinal), three data sources (self-collected, national/local assessments, international large-scale assessments), and commonly employed research methods. The studies analyzed in this review yielded mixed results regarding the impact of the examined protective factors, with measurement instruments and statistical power playing a significant role in explaining the variations. Individual and school-level characteristics emerged as the most well-studied protective factors; individual characteristics were often investigated through "instrumental" operationalization and structural equational models, whereas school-level characteristics were typically explored through "simultaneous" or "progressive" operationalizations and multilevel modeling. Approximately 31 and 16% of the studies utilized national assessments and international large-scale assessment data, respectively. Both data sources promoted the exploration of school-level factors, with the former facilitating the exploration of protective factors across time and the latter contributing to the investigation of teaching-related factors.
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Affiliation(s)
- Wangqiong Ye
- Faculty of Educational Sciences, Centre for Educational Measurement, University of Oslo, Oslo, Norway
| | - Nani Teig
- Department of Teacher Education and School Research, Faculty of Educational Sciences, University of Oslo, Oslo, Norway
| | - Sigrid Blömeke
- Faculty of Educational Sciences, Centre for Educational Measurement, University of Oslo, Oslo, Norway
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11
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Katzman BD, Alabousi M, Islam N, Zha N, Patlas MN. Deep Learning for Pneumothorax Detection on Chest Radiograph: A Diagnostic Test Accuracy Systematic Review and Meta Analysis. Can Assoc Radiol J 2024; 75:525-533. [PMID: 38189265 DOI: 10.1177/08465371231220885] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2024] Open
Abstract
BACKGROUND Pneumothorax is a common acute presentation in healthcare settings. A chest radiograph (CXR) is often necessary to make the diagnosis, and minimizing the time between presentation and diagnosis is critical to deliver optimal treatment. Deep learning (DL) algorithms have been developed to rapidly identify pathologic findings on various imaging modalities. PURPOSE The purpose of this systematic review and meta-analysis was to evaluate the overall performance of studies utilizing DL algorithms to detect pneumothorax on CXR. METHODS A study protocol was created and registered a priori (PROSPERO CRD42023391375). The search strategy included studies published up until January 10, 2023. Inclusion criteria were studies that used adult patients, utilized computer-aided detection of pneumothorax on CXR, dataset was evaluated by a qualified physician, and sufficient data was present to create a 2 × 2 contingency table. Risk of bias was assessed using the QUADAS-2 tool. Bivariate random effects meta-analyses and meta-regression modeling were performed. RESULTS Twenty-three studies were selected, including 34 011 patients and 34 075 CXRs. The pooled sensitivity and specificity were 87% (95% confidence interval, 81%, 92%) and 95% (95% confidence interval, 92%, 97%), respectively. The study design, use of an institutional/public data set and risk of bias had no significant effect on the sensitivity and specificity of pneumothorax detection. CONCLUSIONS The relatively high sensitivity and specificity of pneumothorax detection by deep-learning showcases the vast potential for implementation in clinical settings to both augment the workflow of radiologists and assist in more rapid diagnoses and subsequent patient treatment.
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Affiliation(s)
- Benjamin D Katzman
- Michael G. DeGroote School of Medicine, McMaster University, Hamilton, ON, Canada
| | - Mostafa Alabousi
- Department of Medical Imaging, McMaster University, Hamilton, ON, Canada
| | - Nabil Islam
- Faculty of Medicine, University of Ottawa, Ottawa, ON, Canada
| | - Nanxi Zha
- Department of Medical Imaging, McMaster University, Hamilton, ON, Canada
| | - Michael N Patlas
- Department of Medical Imaging, University of Toronto, Toronto, ON, Canada
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12
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Umaña Sedó S, Renaud D, Morrison J, Pearl D, Mee J, Winder C. Using an automated tail movement sensor device to predict calving time in dairy cows. JDS COMMUNICATIONS 2024; 5:317-321. [PMID: 39220851 PMCID: PMC11365211 DOI: 10.3168/jdsc.2023-0445] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/03/2023] [Accepted: 11/30/2023] [Indexed: 09/04/2024]
Abstract
This study aimed to evaluate the effectiveness of an automated tail movement sensor device (Moocall; Bluebell, Dublin, Ireland) to predict time of calving in dairy cows. At a commercial dairy farm in southern Ontario, Moocall (MC) devices were attached with the device's strap, and an additional elastic wrap, to the tail of cows approximately 3 d before their expected calving date. The MC has 2 types of alarm, a high activity alarm in the previous hour (1HA), and a high activity alarm in the previous 2 h (2HA); these alarms were sent and registered to the MC software. The calving and close-up pens were video monitored to determine the exact time of the onset of stage II of calving (amniotic sac visible at the vulva) and the end of stage II of calving (total expulsion of the calf). A total of 49 cows were enrolled, but we excluded 13 animals from the analysis as they had 3 or more MC drops from the tail (n = 6), a swollen tail (n = 3), or the MC device was lost (n = 4); this left 36 cows. In total, the device dropped off 21 (42%) cows. The average number of alarms (1HA and 2HA) per cow before stage II of calving was 2.7 ± 2.3 (± standard error). The first alarm after fitting the device on the tail was used to determine the device's sensitivity and specificity. Depending on the interval before the onset of parturition (i.e., 2, 4, 8, 12 h) in which the alarm was triggered, sensitivity varied from 5% to 72% and specificity from 50% to 93%. The false positive rate varied between 6% and 50% depending on the interval from the alarm to the onset of parturition. The high false positive and device drop rates (despite the addition of the elastic wrap) may compromise the applicability of this sensor device in a commercial setting.
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Affiliation(s)
- S.G. Umaña Sedó
- Department of Population Medicine, University of Guelph, Ontario, N1G2W1, Canada
| | - D.L. Renaud
- Department of Population Medicine, University of Guelph, Ontario, N1G2W1, Canada
| | - J. Morrison
- Department of Population Medicine, University of Guelph, Ontario, N1G2W1, Canada
| | - D.L. Pearl
- Department of Population Medicine, University of Guelph, Ontario, N1G2W1, Canada
| | - J.F. Mee
- Teagasc, Research Centre, Fermoy Co. Cork, P61 C997, Ireland
| | - C.B. Winder
- Department of Population Medicine, University of Guelph, Ontario, N1G2W1, Canada
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Zhang Y, Li T, Wang T, Ji Q, Zhan J. Comparison for the diagnostic performance of early diagnostic methods for biliary atresia: a systematic review and network meta-analysis. Pediatr Surg Int 2024; 40:146. [PMID: 38822892 DOI: 10.1007/s00383-024-05730-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 05/23/2024] [Indexed: 06/03/2024]
Abstract
BACKGROUND Biliary atresia (BA), a progressive condition affecting canalicular-bile duct function/anatomy, requires prompt surgical intervention for favorable outcomes. Therefore, we conducted a network meta-analysis of common diagnostic methods to assess their performance and provide evidence-based support for clinical decision-making. METHODS We reviewed literature in PubMed, EMBASE, and Cochrane for BA diagnostics. The search included gamma-glutamyl transferase (GGT), direct/combined bilirubin, matrix metalloproteinase 7 (MMP-7), ultrasonic triangular cord sign (TCS), hepatic scintigraphy (HS), and percutaneous cholangiocholangiography/percutaneous transhepatic cholecysto-cholangiography (PCC/PTCC). QUADAS-2 assessed study quality. Heterogeneity and threshold effect were evaluated using I2 and Spearman's correlation. We combined effect estimates, constructed SROC models, and conducted a network meta-analysis based on the ANOVA model, along with meta-regression and subgroup analysis, to obtain precise diagnostic performance assessments for BA. RESULTS A total of 40 studies were included in our analysis. GGT demonstrated high diagnostic accuracy for BA with a sensitivity of 81.5% (95% CI 0.792-0.836) and specificity of 72.1% (95% CI 0.693-0.748). Direct bilirubin/conjugated bilirubin showed a sensitivity of 87.6% (95% CI 0.833-0.911) but lower specificity of 59.4% (95% CI 0.549-0.638). MMP-7 exhibited a total sensitivity of 91.5% (95% CI 0.893-0.934) and a specificity of 84.3% (95% CI 0.820-0.863). TCS exhibited a sensitivity of 58.1% (95% CI 0.549-0.613) and high specificity of 92.9% (95% CI 0.911-0.944). HS had a high sensitivity of 98.4% (95% CI 0.968-0.994) and moderate specificity of 79.0% (95% CI 0.762-0.816). PCC/PTCC exhibited excellent diagnostic performance with a sensitivity of 100% (95% CI 0.900-1.000) and specificity of 87.0% (95% CI 0.767-0.939). Based on the ANOVA model, the network meta-analysis revealed that MMP-7 ranked second overall, with PCC/PTCC ranking first, both exhibiting superior diagnostic accuracy compared to other techniques. Our analysis showed no significant bias in most methodologies, but MMP-7 and hepatobiliary scintigraphy exhibited biases, with p values of 0.023 and 0.002, respectively. CONCLUSION MMP-7 and ultrasound-guided PCC/PTCC show diagnostic potential in the early diagnosis of BA, but their clinical application is restricted due to practical limitations. Currently, the cutoff value of MMP-7 is unclear, and further evidence-based medical research is needed to firmly establish its diagnostic value. Until more evidence is available, MMP-7 is not suitable for widespread diagnostic use. Therefore, considering cost and operational simplicity, liver function tests combined with ultrasound remain the most clinically valuable non-invasive diagnostic methods for BA.
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Affiliation(s)
- Yanran Zhang
- Clinical School of Paediatrics, Tianjin Medical University, Tianjin, 300400, China
| | - Tengfei Li
- Clinical School of Paediatrics, Tianjin Medical University, Tianjin, 300400, China
| | - Tong Wang
- Tianjin First Central Hospital Clinic Institute, Tianjin Medical University, Tianjin, 300192, China
| | - Qi Ji
- Clinical School of Paediatrics, Tianjin Medical University, Tianjin, 300400, China
| | - Jianghua Zhan
- Department of General Surgery, Tianjin Children's Hospital, Tianjin, 300134, China.
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Li Y, Zhu L, Zhu C, Chen Y, Yu H, Zhu H, Yin P, Liu M, Li Y, Li H, Gong Z, Hanzi Xu, Han J. Circulating micrornas as potential diagnostic biomarkers for cervical intraepithelial neoplasia and cervical cancer: a systematic review and meta-analysis. Discov Oncol 2024; 15:189. [PMID: 38801504 PMCID: PMC11130102 DOI: 10.1007/s12672-024-01028-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/17/2023] [Accepted: 05/08/2024] [Indexed: 05/29/2024] Open
Abstract
BACKGROUND Cervical cancer is a prevalent malignancy of the female reproductive system. Cervical intraepithelial neoplasia (CIN) is a precursor lesion for CC. Various studies have examined circulating microRNAs (miRNAs) as potential early diagnostic markers for CC and CIN. However, the findings have been inconclusive. Therefore, it is necessary to evaluate the diagnostic accuracy and identify potential sources of variability among these studies. METHODS The PubMed, Cochrane Library, Embase, and Web of Science databases were searched to identify relevant literature. Then, Stata 14.0 was utilized to calculate summary estimates for diagnostic parameters, including sensitivity, specificity, positive likelihood ratio (PLR), negative likelihood ratio (NLR), diagnostic odds ratio (DOR), and area under the summary receiver operating characteristic (ROC). To scrutinize the heterogeneity, the Cochran-Q test and I2 statistic were utilized. As significant heterogeneity was observed, the random effects model was chosen. To explore potential sources of the heterogeneity, subgroup and regression analyses were conducted. RESULTS We analysed 12 articles reporting on 24 studies involving 1817 patients and 1731 healthy controls. The pooled sensitivity was 0.77 (95% CI 0.73-0.81), the specificity was 0.81 (95% CI 0.73-0.86), the PLR was 3.99 (95% CI 2.81-5.65), the NLR was 0.28 (95% CI 0.23-0.35), the DOR was 14.18 (95% CI 8.47-23.73), and the area under the curve (AUC) was 0.85 (95% CI 0.81-0.87). Subgroup analysis revealed that multiple miRNAs can improve diagnostic performance; the pooled sensitivity of multiple miRNAs was 0.78 (95% CI 0.68-0.86), the specificity was 0.85 (95% CI 0.78-0.90), and the AUC was 0.89 (95% CI 0.86-0.91). CONCLUSION This study suggested that circulating microRNAs may be biomarkers for early CC diagnosis.
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Affiliation(s)
- Yue Li
- Jiangsu Cancer Centre, Jiangsu Cancer Hospital, Jiangsu Institute of Cancer Research, The AffiliatedCancer Hospital of Nanjing Medical University, Nanjing, Jiangsu, China
| | - Longbiao Zhu
- Department of The Sixth Dental Division, Affiliated Stomatological Hospital of Nanjing Medical University, Nanjing, Jiangsu, China
- State Key Laboratory Cultivation Base of Research, Prevention and Treatment for Oral Diseases, Nanjing Medical University, Nanjing, Jiangsu, China
- Jiangsu Province Engineering Research Center of Stomatological Translational Medicine, Nanjing, Jiangsu, China
| | - Chenjing Zhu
- Jiangsu Cancer Centre, Jiangsu Cancer Hospital, Jiangsu Institute of Cancer Research, The AffiliatedCancer Hospital of Nanjing Medical University, Nanjing, Jiangsu, China
| | - Yan Chen
- Jiangsu Cancer Centre, Jiangsu Cancer Hospital, Jiangsu Institute of Cancer Research, The AffiliatedCancer Hospital of Nanjing Medical University, Nanjing, Jiangsu, China
| | - Hui Yu
- Jiangsu Cancer Centre, Jiangsu Cancer Hospital, Jiangsu Institute of Cancer Research, The AffiliatedCancer Hospital of Nanjing Medical University, Nanjing, Jiangsu, China
| | - Hangju Zhu
- Jiangsu Cancer Centre, Jiangsu Cancer Hospital, Jiangsu Institute of Cancer Research, The AffiliatedCancer Hospital of Nanjing Medical University, Nanjing, Jiangsu, China
| | - Ping Yin
- Jiangsu Cancer Centre, Jiangsu Cancer Hospital, Jiangsu Institute of Cancer Research, The AffiliatedCancer Hospital of Nanjing Medical University, Nanjing, Jiangsu, China
| | - Mengyu Liu
- Jiangsu Cancer Centre, Jiangsu Cancer Hospital, Jiangsu Institute of Cancer Research, The AffiliatedCancer Hospital of Nanjing Medical University, Nanjing, Jiangsu, China
| | - Yang Li
- Jiangsu Cancer Centre, Jiangsu Cancer Hospital, Jiangsu Institute of Cancer Research, The AffiliatedCancer Hospital of Nanjing Medical University, Nanjing, Jiangsu, China
| | - Huixin Li
- Department of Gynecology, Women's Hospital of Nanjing Medical University, Nanjing Woman and Children's HealthCare Hospital, Nanjing, Jiangsu, China
| | - Zhen Gong
- Department of Gynecology, Women's Hospital of Nanjing Medical University, Nanjing Woman and Children's HealthCare Hospital, Nanjing, Jiangsu, China.
| | - Hanzi Xu
- Jiangsu Cancer Centre, Jiangsu Cancer Hospital, Jiangsu Institute of Cancer Research, The AffiliatedCancer Hospital of Nanjing Medical University, Nanjing, Jiangsu, China.
| | - Jing Han
- Jiangsu Cancer Centre, Jiangsu Cancer Hospital, Jiangsu Institute of Cancer Research, The AffiliatedCancer Hospital of Nanjing Medical University, Nanjing, Jiangsu, China.
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15
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Kennedy U, Paterson MBA, Magalhaes RS, Callaghan T, Clark N. A Scoping Review of the Evidence on Prevalence of Feline Upper Respiratory Tract Infections and Associated Risk Factors. Vet Sci 2024; 11:232. [PMID: 38921979 PMCID: PMC11209048 DOI: 10.3390/vetsci11060232] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2024] [Revised: 05/07/2024] [Accepted: 05/20/2024] [Indexed: 06/27/2024] Open
Abstract
Feline upper respiratory tract infections (URI) are of concern, especially in animal shelters. This scoping review identifies epidemiological literature on URI as caused by feline herpesvirus (FHV), feline calicivirus (FCV), Chlamydia felis, Mycoplasma felis and Bordetella bronchiseptica. Four databases were searched, studies were screened, and data were extracted on a standardised template. We described patterns in spatial locations of the studies, the range of pathogens and diagnostic tests, cohort characteristics and the findings of risk factor analyses. A total of 90 articles were selected for final data extraction. There was diversity in sampling methods, precluding quantitative meta-analysis of prevalence reports. FHV was most frequently studied (n = 57/90). The most popular sampling site was conjunctival swabbing (n = 43). Most studies (n = 57) used polymerase chain reaction (PCR) to confirm diagnosis. Approximately one-third (n = 32/90) of the studies included sheltered felines. This review explores the current state of knowledge on the epidemiology and risk factors of feline URI. Assessing the impact of risk factors has the potential to alleviate the severity of disease, especially in shelters; however, the results were not easily pooled as the studies used inconsistent approaches. We present recommendations for ongoing epidemiological research on feline URI to provide a more structured framework and define research questions for future systematic reviews.
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Affiliation(s)
- Uttara Kennedy
- UQ School of Veterinary Science, The University of Queensland, Gatton, QSD 4343, Australia; (R.S.M.); (T.C.); (N.C.)
| | | | - Ricardo Soares Magalhaes
- UQ School of Veterinary Science, The University of Queensland, Gatton, QSD 4343, Australia; (R.S.M.); (T.C.); (N.C.)
| | - Thomas Callaghan
- UQ School of Veterinary Science, The University of Queensland, Gatton, QSD 4343, Australia; (R.S.M.); (T.C.); (N.C.)
| | - Nicholas Clark
- UQ School of Veterinary Science, The University of Queensland, Gatton, QSD 4343, Australia; (R.S.M.); (T.C.); (N.C.)
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16
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Li J, Li H, Yang Y, Sen Y, Ye J. miRNA-143 as a potential biomarker in the detection of bladder cancer: a meta-analysis. Future Oncol 2024; 20:1275-1287. [PMID: 38722138 PMCID: PMC11318679 DOI: 10.2217/fon-2023-0922] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2023] [Accepted: 03/08/2024] [Indexed: 06/12/2024] Open
Abstract
Aim: This study aimed to systematically evaluate the value of miRNA-143 in the early detection of bladder cancer (BCa). Methods: CNKI, WanFang, PubMed and Wiley Online Library databases were explored according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses protocol. A random-effects model was used to obtain pooled sensitivity, specificity and other related indicates. Results: Six studies were included for analysis. The overall pooled sensitivity and specificity were 0.80 (95% CI: 0.74-0.85) and 0.85 (95% CI: 0.78-0.91), and the area under the curve was 0.88 (95% CI: 0.85-0.91). Coupled with miR-100, it showed better diagnostic power (area under the curve: 0.95). Conclusion: miRNA-143 may serve as a promising noninvasive tool for the early detection of BCa.
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Affiliation(s)
- Jiajin Li
- Department of Public Health, Southern Medical University, Guangzhou, Guangdong, China
| | - Haonan Li
- Department of Public Health, Southern Medical University, Guangzhou, Guangdong, China
| | - Yutao Yang
- Department of Public Health, Southern Medical University, Guangzhou, Guangdong, China
| | - Yu Sen
- Department of Public Health, Southern Medical University, Guangzhou, Guangdong, China
| | - Jufeng Ye
- Department of Public Health, Southern Medical University, No.1023, ShaTai South Road, Guangzhou City, Guangdong Province, 510515, China
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17
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Almarhoumi AA. Accuracy of Artificial Intelligence in Predicting Facial Changes Post-Orthognathic Surgery: A Comprehensive Scoping Review. J Clin Exp Dent 2024; 16:e624-e633. [PMID: 38988747 PMCID: PMC11231886 DOI: 10.4317/jced.61500] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2024] [Accepted: 04/10/2024] [Indexed: 07/12/2024] Open
Abstract
Background Accurate prediction of facial soft tissue changes post-orthognathic surgery is crucial for treatment planning and patient communication. Current models pose limitations due to the complexity of facial biomechanics and individual variances. Artificial intelligence (AI) has emerged as an important tool in many disciplines, including the dental field. Objectives The aim of this scoping review is to assess the accuracy of AI in predicting facial changes post-orthognathic surgery in comparison to traditional models. Explore the strengths and limitations of the current AI models. Material and Methods Following PRISMA-DTA guidelines, a comprehensive search was conducted manually and through Medline, Embase, Web of Science, Scopus, and Google Scholar databases was conducted, focusing on studies that applied AI models with various machine learning and deep learning algorithms for post-surgical outcome prediction. Selection criteria were based on the PICO format, emphasizing studies that compared AI-predicted outcomes with actual post-surgical results. Literature was searched until January 31, 2024. Results The initial search result yielded 1579 records. After screening and assessment for eligibility, seven studies met the inclusion criteria, with publication dates ranging from 2009 to 2023. Several AI algorithms were evaluated on different orthognathic surgical procedures, revealing the high predictive accuracy of AI models across various facial regions. Conclusions AI demonstrates significant potential for enhancing the precision of facial outcome predictions following orthognathic surgery. However, despite the promising results, limitations such as small sample sizes and a lack of external validation were noted. Further research with larger, more diverse datasets and standardized validation methods is essential for optimizing AI's clinical utility. Key words:Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL), Orthognathic Surgery, Facial Soft-tissue Prediction, Predictive Accuracy, Orthodontics.
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Affiliation(s)
- Asim A Almarhoumi
- M.Orth RCSEd. Division of Orthodontics, Department of Preventive Dental Sciences, College of Dentistry and Dental Hospital at Taibah University, Madinah, Saudi Arabia
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18
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Singh S, Singha B, Kumar S. Artificial intelligence in age and sex determination using maxillofacial radiographs: A systematic review. THE JOURNAL OF FORENSIC ODONTO-STOMATOLOGY 2024; 42:30-37. [PMID: 38742570 PMCID: PMC11154095 DOI: 10.5281/zenodo.11088513] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 05/16/2024]
Abstract
In the past few years, there has been an enormous increase in the application of artificial intelligence and its adoption in multiple fields, including healthcare. Forensic medicine and forensic odontology have tremendous scope for development using AI. In cases of severe burns, complete loss of tissue, complete or partial loss of bony structure, decayed bodies, mass disaster victim identification, etc., there is a need for prompt identification of the bony remains. The mandible, is the strongest bone of the facial region, is highly resistant to undue mechanical, chemical or physical impacts and has been widely used in many studies to determine age and sexual dimorphism. Radiographic estimation of the jaw bone for age and sex is more workable since it is simple and can be applied equally to both dead and living cases to aid in the identification process. Hence, this systematic review is focused on various AI tools for age and sex determination in maxillofacial radiographs. The data was obtained through searching for the articles across various search engines, published from January 2013 to March 2023. QUADAS 2 was used for qualitative synthesis, followed by a Cochrane diagnostic test accuracy review for the risk of bias analysis of the included studies. The results of the studies are highly optimistic. The accuracy and precision obtained are comparable to those of a human examiner. These models, when designed with the right kind of data, can be of tremendous use in medico legal scenarios and disaster victim identification.
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Affiliation(s)
- S Singh
- Department of Forensic medicine & Toxicology, Rajendra Institute of Medical Science, Ranchi, India
| | - B Singha
- Department of Forensic medicine & Toxicology, Rajendra Institute of Medical Science, Ranchi, India
| | - S Kumar
- Department of Forensic medicine & Toxicology, Rajendra Institute of Medical Science, Ranchi, India
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19
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Fan Z, Wei X, Zhu X, Yang K, Tian L, Du Y, Yang L. Correlation between soluble klotho and chronic kidney disease-mineral and bone disorder in chronic kidney disease: a meta-analysis. Sci Rep 2024; 14:4477. [PMID: 38396063 PMCID: PMC10891172 DOI: 10.1038/s41598-024-54812-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2023] [Accepted: 02/16/2024] [Indexed: 02/25/2024] Open
Abstract
We conducted a systematic search across medical databases, including PubMed, Web of Science, EMBASE, and Cochrane Library, up to March 2023. A total of 1944 subjects or individuals from 17 studies were included in our final analysis. The correlation coefficient (r) between sKlotho and calcium was [0.14, (0.02, 0.26)], and a moderate heterogeneity was observed (I2 = 66%, P < 0.05). The correlation coefficient (r) between Klotho and serum phosphate was [- 0.21, (- 0.37, - 0.04)], with apparent heterogeneity (I2 = 84%, P < 0.05). The correlation coefficient (r) between sKlotho and parathyroid hormone and vascular calcification was [- 0.23,(- 0.29, - 0.17); - 0.15, (- 0.23, - 0.08)], with no significant heterogeneity among the studies. (I2 = 40%, P < 0.05; I2 = 30%, P < 0.05). A significant correlation exists between low sKlotho levels and an increased risk of CKD-MBD in patients with CKD. According to the findings, sKlotho may play a role in alleviating CKD-MBD by lowering phosphorus and parathyroid hormone levels, regulating calcium levels, and suppressing vascular calcification. As analysis showed that sKlotho has an important impact on the pathogenesis and progression of CKD-MBD in CKD patients. Nonetheless, further comprehensive and high-quality studies are needed to validate our conclusions.
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Affiliation(s)
- Zhongyu Fan
- Department of Nephrology, The First Hospital of Jilin University, Changchun, China
| | - Xuejiao Wei
- Department of Nephrology, The First Hospital of Jilin University, Changchun, China
| | - Xiaoyu Zhu
- Department of Nephrology, The First Hospital of Jilin University, Changchun, China
| | - Kun Yang
- Department of Nephrology, The First Hospital of Jilin University, Changchun, China
| | - Ling Tian
- Department of Nephrology, The First Hospital of Jilin University, Changchun, China
| | - Yujun Du
- Department of Nephrology, The First Hospital of Jilin University, Changchun, China.
| | - Liming Yang
- Department of Nephrology, The First Hospital of Jilin University, Changchun, China.
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20
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Wang Z, Liu YL, Chen Y, Siegel L, Cappelleri JC, Chu H. Double-Negative Results Matter: A Reevaluation of Sensitivities for Detecting SARS-CoV-2 Infection Using Saliva Versus Nasopharyngeal Swabs. Am J Epidemiol 2024; 193:548-560. [PMID: 37939113 PMCID: PMC11484624 DOI: 10.1093/aje/kwad212] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2022] [Accepted: 10/27/2023] [Indexed: 11/10/2023] Open
Abstract
In a recent systematic review, Bastos et al. (Ann Intern Med. 2021;174(4):501-510) compared the sensitivities of saliva sampling and nasopharyngeal swabs in the detection of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection by assuming a composite reference standard defined as positive if either test is positive and negative if both tests are negative (double negative). Even under a perfect specificity assumption, this approach ignores the double-negative results and risks overestimating the sensitivities due to residual misclassification. In this article, we first illustrate the impact of double-negative results in the estimation of the sensitivities in a single study, and then propose a 2-step latent class meta-analysis method for reevaluating both sensitivities using the same published data set as that used in Bastos et al. by properly including the observed double-negative results. We also conduct extensive simulation studies to compare the performance of the proposed method with Bastos et al.'s method for varied levels of prevalence and between-study heterogeneity. The results demonstrate that the sensitivities are overestimated noticeably using Bastos et al.'s method, and the proposed method provides a more accurate evaluation with nearly no bias and close-to-nominal coverage probability. In conclusion, double-negative results can significantly impact the estimated sensitivities when a gold standard is absent, and thus they should be properly incorporated.
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Affiliation(s)
| | | | | | | | | | - Haitao Chu
- Correspondence to Dr. Haitao Chu, Division of Biostatistics and Health Data Science, School of Public Health, University of Minnesota, 420 Delaware Street SE, Minneapolis, MN 55455 (e-mail: )
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21
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Wade RG, Tam W, Perumal A, Pepple S, Griffiths TT, Flather R, Haroon HA, Shelley D, Plein S, Bourke G, Teh I. Comparison of distortion correction preprocessing pipelines for DTI in the upper limb. Magn Reson Med 2024; 91:773-783. [PMID: 37831659 PMCID: PMC10952179 DOI: 10.1002/mrm.29881] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2023] [Revised: 09/12/2023] [Accepted: 09/12/2023] [Indexed: 10/15/2023]
Abstract
PURPOSE DTI characterizes tissue microstructure and provides proxy measures of nerve health. Echo-planar imaging is a popular method of acquiring DTI but is susceptible to various artifacts (e.g., susceptibility, motion, and eddy currents), which may be ameliorated via preprocessing. There are many pipelines available but limited data comparing their performance, which provides the rationale for this study. METHODS DTI was acquired from the upper limb of heathy volunteers at 3T in blip-up and blip-down directions. Data were independently corrected using (i) FSL's TOPUP & eddy, (ii) FSL's TOPUP, (iii) DSI Studio, and (iv) TORTOISE. DTI metrics were extracted from the median, radial, and ulnar nerves and compared (between pipelines) using mixed-effects linear regression. The geometric similarity of corrected b = 0 images and the slice matched T1-weighted (T1w) images were computed using the Sörenson-Dice coefficient. RESULTS Without preprocessing, the similarity coefficient of the blip-up and blip-down datasets to the T1w was 0·80 and 0·79, respectively. Preprocessing improved the geometric similarity by 1% with no difference between pipelines. Compared to TOPUP & eddy, DSI Studio and TORTOISE generated 2% and 6% lower estimates of fractional anisotropy, and 6% and 13% higher estimates of radial diffusivity, respectively. Estimates of anisotropy from TOPUP & eddy versus TOPUP were not different but TOPUP reduced radial diffusivity by 3%. The agreement of DTI metrics between pipelines was poor. CONCLUSIONS Preprocessing DTI from the upper limb improves geometric similarity but the choice of the pipeline introduces clinically important variability in diffusion parameter estimates from peripheral nerves.
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Affiliation(s)
- Ryckie G. Wade
- Leeds Institute for Medical Research, University of Leeds
LeedsUK
- Department of Plastic, Reconstructive and Hand SurgeryLeeds Teaching Hospitals TrustLeedsUK
| | - Winnie Tam
- Leeds Institute for Medical Research, University of Leeds
LeedsUK
| | - Antonia Perumal
- Leeds Institute for Medical Research, University of Leeds
LeedsUK
| | - Sophanit Pepple
- Leeds Institute for Medical Research, University of Leeds
LeedsUK
| | - Timothy T. Griffiths
- Leeds Institute for Medical Research, University of Leeds
LeedsUK
- Department of Plastic, Reconstructive and Hand SurgeryLeeds Teaching Hospitals TrustLeedsUK
| | - Robert Flather
- Leeds Institute for Medical Research, University of Leeds
LeedsUK
- Department of Plastic, Reconstructive and Hand SurgeryLeeds Teaching Hospitals TrustLeedsUK
| | - Hamied A. Haroon
- Division of Psychology, Communication & Human NeuroscienceThe University of ManchesterManchesterUK
| | | | - Sven Plein
- Leeds Institute of Cardiovascular and Metabolic Medicine, University of LeedsLeedsUK
| | - Grainne Bourke
- Leeds Institute for Medical Research, University of Leeds
LeedsUK
- Department of Plastic, Reconstructive and Hand SurgeryLeeds Teaching Hospitals TrustLeedsUK
| | - Irvin Teh
- Leeds Institute of Cardiovascular and Metabolic Medicine, University of LeedsLeedsUK
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22
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Goins SM, Jiang H, van der Pol CB, Salameh JP, Lam E, Adamo RG, McInnes MDF, Costa AF, Tang A, Alhasan AS, Allen BC, Reiner CS, Clarke C, Cerny M, Wang J, Choi SH, Fraum TJ, Ludwig DR, Song B, Joo I, Kang Z, Kierans AS, Kim SY, Kwon H, Ronot M, Podgórska J, Rosiak G, Song JS, Bashir MR. Individual Participant Data Meta-Analysis of LR-5 in LI-RADS Version 2018 versus Revised LI-RADS for Hepatocellular Carcinoma Diagnosis. Radiology 2023; 309:e231656. [PMID: 38112549 DOI: 10.1148/radiol.231656] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2023]
Abstract
Background A simplification of the Liver Imaging Reporting and Data System (LI-RADS) version 2018 (v2018), revised LI-RADS (rLI-RADS), has been proposed for imaging-based diagnosis of hepatocellular carcinoma (HCC). Single-site data suggest that rLI-RADS category 5 (rLR-5) improves sensitivity while maintaining positive predictive value (PPV) of the LI-RADS v2018 category 5 (LR-5), which indicates definite HCC. Purpose To compare the diagnostic performance of LI-RADS v2018 and rLI-RADS in a multicenter data set of patients at risk for HCC by performing an individual patient data meta-analysis. Materials and Methods Multiple databases were searched for studies published from January 2014 to January 2022 that evaluated the diagnostic performance of any version of LI-RADS at CT or MRI for diagnosing HCC. An individual patient data meta-analysis method was applied to observations from the identified studies. Quality Assessment of Diagnostic Accuracy Studies version 2 was applied to determine study risk of bias. Observations were categorized according to major features and either LI-RADS v2018 or rLI-RADS assignments. Diagnostic accuracies of category 5 for each system were calculated using generalized linear mixed models and compared using the likelihood ratio test for sensitivity and the Wald test for PPV. Results Twenty-four studies, including 3840 patients and 4727 observations, were analyzed. The median observation size was 19 mm (IQR, 11-30 mm). rLR-5 showed higher sensitivity compared with LR-5 (70.6% [95% CI: 60.7, 78.9] vs 61.3% [95% CI: 45.9, 74.7]; P < .001), with similar PPV (90.7% vs 92.3%; P = .55). In studies with low risk of bias (n = 4; 1031 observations), rLR-5 also achieved a higher sensitivity than LR-5 (72.3% [95% CI: 63.9, 80.1] vs 66.9% [95% CI: 58.2, 74.5]; P = .02), with similar PPV (83.1% vs 88.7%; P = .47). Conclusion rLR-5 achieved a higher sensitivity for identifying HCC than LR-5 while maintaining a comparable PPV at 90% or more, matching the results presented in the original rLI-RADS study. © RSNA, 2023 Supplemental material is available for this article. See also the editorial by Sirlin and Chernyak in this issue.
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Affiliation(s)
- Stacy M Goins
- From the Department of Radiology, Duke University School of Medicine, Durham, NC (S.M.G.); Department of Radiology, West China Hospital, Sichuan University, Chengdu, China (H.J., B.S.); Juravinski Hospital and Cancer Centre, Hamilton Health Sciences, McMaster University, Hamilton, Ontario, Canada (C.B.v.d.P.); Faculty of Health Sciences, Queen's University, Kingston, Ontario, Canada (J.P.S.); Ottawa Hospital Research Institute, Ottawa, Ontario, Canada (E.L.); Faculty of Medicine at The University of Ottawa, Ottawa, Ontario, Canada (R.G.A.); Departments of Radiology and Epidemiology, University of Ottawa, Ottawa, Ontario, Canada (M.D.F.M.); The Ottawa Hospital Research Institute Clinical Epidemiology Program, Ottawa, Ontario, Canada (M.D.F.M.); Department of Diagnostic Radiology, Queen Elizabeth II Health Sciences Centre and Dalhousie University, Halifax, Nova Scotia, Canada (A.F.C.); Department of Radiology, Centre Hospitalier de l'Université de Montréal, Montréal, Québec, Canada (A.T.); Department of Radiology, College of Medicine, Taibah University, Medina, Saudi Arabia (A.S.A.); Department of Radiology, King Faisal Specialist Hospital and Research Centre, Medina, Saudi Arabia (A.S.A.); Department of Radiology, Duke University Medical Center, Durham, NC (B.C.A.); Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, Zurich, Switzerland (C.S.R.); Department of Radiology, Nottingham University Hospitals NHS Trust, Nottingham, United Kingdom (C.C.); Centre de Recherche du Centre Hospitalier de l'Université de Montréal, Montréal, Québec, Canada (M.C.); Department of Radiology, The Third Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China (J.W.); Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea (S.H.C.); Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Mo (T.J.F., D.R.L.); Department of Radiology, Seoul National University College of Medicine, Jongno-gu, Seoul, South Korea (I.J.); Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Hubei, Wuhan, China (Z.K.); Weill Cornell Medical Center, New York, NY (A.S.K.); Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Songpa-gu, Seoul, South Korea (S.Y.K.); Department of Radiology, Dong-A University Hospital, Dong-A University College of Medicine, Seo-gu, Busan, South Korea (H.K.); Department of Radiology, Hôpital Beaujon, APHP.Nord, Clichy and Université Paris Cité, CRI UMR 1149, Paris, France (M.R.); Second Radiology Department, Warsaw Medical University, Warsaw, Poland (J.P., G.R.); Department of Radiology, Jeonbuk National University Medical School and Hospital, Deokjin-gu, Jeonju, Jeonbuk, South Korea (J.S.S.); Departments of Radiology and Medicine, Duke University Medical Center, 40 Duke Medicine Cir, Durham, NC, 27710 (M.R.B.); Center for Advanced Magnetic Resonance Development, Duke University Medical Center, Durham, NC (M.R.B.); and Department of Radiology, University of North Carolina, Chapel Hill, NC (M.R.B.)
| | - Hanyu Jiang
- From the Department of Radiology, Duke University School of Medicine, Durham, NC (S.M.G.); Department of Radiology, West China Hospital, Sichuan University, Chengdu, China (H.J., B.S.); Juravinski Hospital and Cancer Centre, Hamilton Health Sciences, McMaster University, Hamilton, Ontario, Canada (C.B.v.d.P.); Faculty of Health Sciences, Queen's University, Kingston, Ontario, Canada (J.P.S.); Ottawa Hospital Research Institute, Ottawa, Ontario, Canada (E.L.); Faculty of Medicine at The University of Ottawa, Ottawa, Ontario, Canada (R.G.A.); Departments of Radiology and Epidemiology, University of Ottawa, Ottawa, Ontario, Canada (M.D.F.M.); The Ottawa Hospital Research Institute Clinical Epidemiology Program, Ottawa, Ontario, Canada (M.D.F.M.); Department of Diagnostic Radiology, Queen Elizabeth II Health Sciences Centre and Dalhousie University, Halifax, Nova Scotia, Canada (A.F.C.); Department of Radiology, Centre Hospitalier de l'Université de Montréal, Montréal, Québec, Canada (A.T.); Department of Radiology, College of Medicine, Taibah University, Medina, Saudi Arabia (A.S.A.); Department of Radiology, King Faisal Specialist Hospital and Research Centre, Medina, Saudi Arabia (A.S.A.); Department of Radiology, Duke University Medical Center, Durham, NC (B.C.A.); Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, Zurich, Switzerland (C.S.R.); Department of Radiology, Nottingham University Hospitals NHS Trust, Nottingham, United Kingdom (C.C.); Centre de Recherche du Centre Hospitalier de l'Université de Montréal, Montréal, Québec, Canada (M.C.); Department of Radiology, The Third Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China (J.W.); Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea (S.H.C.); Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Mo (T.J.F., D.R.L.); Department of Radiology, Seoul National University College of Medicine, Jongno-gu, Seoul, South Korea (I.J.); Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Hubei, Wuhan, China (Z.K.); Weill Cornell Medical Center, New York, NY (A.S.K.); Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Songpa-gu, Seoul, South Korea (S.Y.K.); Department of Radiology, Dong-A University Hospital, Dong-A University College of Medicine, Seo-gu, Busan, South Korea (H.K.); Department of Radiology, Hôpital Beaujon, APHP.Nord, Clichy and Université Paris Cité, CRI UMR 1149, Paris, France (M.R.); Second Radiology Department, Warsaw Medical University, Warsaw, Poland (J.P., G.R.); Department of Radiology, Jeonbuk National University Medical School and Hospital, Deokjin-gu, Jeonju, Jeonbuk, South Korea (J.S.S.); Departments of Radiology and Medicine, Duke University Medical Center, 40 Duke Medicine Cir, Durham, NC, 27710 (M.R.B.); Center for Advanced Magnetic Resonance Development, Duke University Medical Center, Durham, NC (M.R.B.); and Department of Radiology, University of North Carolina, Chapel Hill, NC (M.R.B.)
| | - Christian B van der Pol
- From the Department of Radiology, Duke University School of Medicine, Durham, NC (S.M.G.); Department of Radiology, West China Hospital, Sichuan University, Chengdu, China (H.J., B.S.); Juravinski Hospital and Cancer Centre, Hamilton Health Sciences, McMaster University, Hamilton, Ontario, Canada (C.B.v.d.P.); Faculty of Health Sciences, Queen's University, Kingston, Ontario, Canada (J.P.S.); Ottawa Hospital Research Institute, Ottawa, Ontario, Canada (E.L.); Faculty of Medicine at The University of Ottawa, Ottawa, Ontario, Canada (R.G.A.); Departments of Radiology and Epidemiology, University of Ottawa, Ottawa, Ontario, Canada (M.D.F.M.); The Ottawa Hospital Research Institute Clinical Epidemiology Program, Ottawa, Ontario, Canada (M.D.F.M.); Department of Diagnostic Radiology, Queen Elizabeth II Health Sciences Centre and Dalhousie University, Halifax, Nova Scotia, Canada (A.F.C.); Department of Radiology, Centre Hospitalier de l'Université de Montréal, Montréal, Québec, Canada (A.T.); Department of Radiology, College of Medicine, Taibah University, Medina, Saudi Arabia (A.S.A.); Department of Radiology, King Faisal Specialist Hospital and Research Centre, Medina, Saudi Arabia (A.S.A.); Department of Radiology, Duke University Medical Center, Durham, NC (B.C.A.); Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, Zurich, Switzerland (C.S.R.); Department of Radiology, Nottingham University Hospitals NHS Trust, Nottingham, United Kingdom (C.C.); Centre de Recherche du Centre Hospitalier de l'Université de Montréal, Montréal, Québec, Canada (M.C.); Department of Radiology, The Third Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China (J.W.); Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea (S.H.C.); Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Mo (T.J.F., D.R.L.); Department of Radiology, Seoul National University College of Medicine, Jongno-gu, Seoul, South Korea (I.J.); Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Hubei, Wuhan, China (Z.K.); Weill Cornell Medical Center, New York, NY (A.S.K.); Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Songpa-gu, Seoul, South Korea (S.Y.K.); Department of Radiology, Dong-A University Hospital, Dong-A University College of Medicine, Seo-gu, Busan, South Korea (H.K.); Department of Radiology, Hôpital Beaujon, APHP.Nord, Clichy and Université Paris Cité, CRI UMR 1149, Paris, France (M.R.); Second Radiology Department, Warsaw Medical University, Warsaw, Poland (J.P., G.R.); Department of Radiology, Jeonbuk National University Medical School and Hospital, Deokjin-gu, Jeonju, Jeonbuk, South Korea (J.S.S.); Departments of Radiology and Medicine, Duke University Medical Center, 40 Duke Medicine Cir, Durham, NC, 27710 (M.R.B.); Center for Advanced Magnetic Resonance Development, Duke University Medical Center, Durham, NC (M.R.B.); and Department of Radiology, University of North Carolina, Chapel Hill, NC (M.R.B.)
| | - Jean-Paul Salameh
- From the Department of Radiology, Duke University School of Medicine, Durham, NC (S.M.G.); Department of Radiology, West China Hospital, Sichuan University, Chengdu, China (H.J., B.S.); Juravinski Hospital and Cancer Centre, Hamilton Health Sciences, McMaster University, Hamilton, Ontario, Canada (C.B.v.d.P.); Faculty of Health Sciences, Queen's University, Kingston, Ontario, Canada (J.P.S.); Ottawa Hospital Research Institute, Ottawa, Ontario, Canada (E.L.); Faculty of Medicine at The University of Ottawa, Ottawa, Ontario, Canada (R.G.A.); Departments of Radiology and Epidemiology, University of Ottawa, Ottawa, Ontario, Canada (M.D.F.M.); The Ottawa Hospital Research Institute Clinical Epidemiology Program, Ottawa, Ontario, Canada (M.D.F.M.); Department of Diagnostic Radiology, Queen Elizabeth II Health Sciences Centre and Dalhousie University, Halifax, Nova Scotia, Canada (A.F.C.); Department of Radiology, Centre Hospitalier de l'Université de Montréal, Montréal, Québec, Canada (A.T.); Department of Radiology, College of Medicine, Taibah University, Medina, Saudi Arabia (A.S.A.); Department of Radiology, King Faisal Specialist Hospital and Research Centre, Medina, Saudi Arabia (A.S.A.); Department of Radiology, Duke University Medical Center, Durham, NC (B.C.A.); Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, Zurich, Switzerland (C.S.R.); Department of Radiology, Nottingham University Hospitals NHS Trust, Nottingham, United Kingdom (C.C.); Centre de Recherche du Centre Hospitalier de l'Université de Montréal, Montréal, Québec, Canada (M.C.); Department of Radiology, The Third Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China (J.W.); Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea (S.H.C.); Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Mo (T.J.F., D.R.L.); Department of Radiology, Seoul National University College of Medicine, Jongno-gu, Seoul, South Korea (I.J.); Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Hubei, Wuhan, China (Z.K.); Weill Cornell Medical Center, New York, NY (A.S.K.); Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Songpa-gu, Seoul, South Korea (S.Y.K.); Department of Radiology, Dong-A University Hospital, Dong-A University College of Medicine, Seo-gu, Busan, South Korea (H.K.); Department of Radiology, Hôpital Beaujon, APHP.Nord, Clichy and Université Paris Cité, CRI UMR 1149, Paris, France (M.R.); Second Radiology Department, Warsaw Medical University, Warsaw, Poland (J.P., G.R.); Department of Radiology, Jeonbuk National University Medical School and Hospital, Deokjin-gu, Jeonju, Jeonbuk, South Korea (J.S.S.); Departments of Radiology and Medicine, Duke University Medical Center, 40 Duke Medicine Cir, Durham, NC, 27710 (M.R.B.); Center for Advanced Magnetic Resonance Development, Duke University Medical Center, Durham, NC (M.R.B.); and Department of Radiology, University of North Carolina, Chapel Hill, NC (M.R.B.)
| | - Eric Lam
- From the Department of Radiology, Duke University School of Medicine, Durham, NC (S.M.G.); Department of Radiology, West China Hospital, Sichuan University, Chengdu, China (H.J., B.S.); Juravinski Hospital and Cancer Centre, Hamilton Health Sciences, McMaster University, Hamilton, Ontario, Canada (C.B.v.d.P.); Faculty of Health Sciences, Queen's University, Kingston, Ontario, Canada (J.P.S.); Ottawa Hospital Research Institute, Ottawa, Ontario, Canada (E.L.); Faculty of Medicine at The University of Ottawa, Ottawa, Ontario, Canada (R.G.A.); Departments of Radiology and Epidemiology, University of Ottawa, Ottawa, Ontario, Canada (M.D.F.M.); The Ottawa Hospital Research Institute Clinical Epidemiology Program, Ottawa, Ontario, Canada (M.D.F.M.); Department of Diagnostic Radiology, Queen Elizabeth II Health Sciences Centre and Dalhousie University, Halifax, Nova Scotia, Canada (A.F.C.); Department of Radiology, Centre Hospitalier de l'Université de Montréal, Montréal, Québec, Canada (A.T.); Department of Radiology, College of Medicine, Taibah University, Medina, Saudi Arabia (A.S.A.); Department of Radiology, King Faisal Specialist Hospital and Research Centre, Medina, Saudi Arabia (A.S.A.); Department of Radiology, Duke University Medical Center, Durham, NC (B.C.A.); Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, Zurich, Switzerland (C.S.R.); Department of Radiology, Nottingham University Hospitals NHS Trust, Nottingham, United Kingdom (C.C.); Centre de Recherche du Centre Hospitalier de l'Université de Montréal, Montréal, Québec, Canada (M.C.); Department of Radiology, The Third Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China (J.W.); Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea (S.H.C.); Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Mo (T.J.F., D.R.L.); Department of Radiology, Seoul National University College of Medicine, Jongno-gu, Seoul, South Korea (I.J.); Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Hubei, Wuhan, China (Z.K.); Weill Cornell Medical Center, New York, NY (A.S.K.); Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Songpa-gu, Seoul, South Korea (S.Y.K.); Department of Radiology, Dong-A University Hospital, Dong-A University College of Medicine, Seo-gu, Busan, South Korea (H.K.); Department of Radiology, Hôpital Beaujon, APHP.Nord, Clichy and Université Paris Cité, CRI UMR 1149, Paris, France (M.R.); Second Radiology Department, Warsaw Medical University, Warsaw, Poland (J.P., G.R.); Department of Radiology, Jeonbuk National University Medical School and Hospital, Deokjin-gu, Jeonju, Jeonbuk, South Korea (J.S.S.); Departments of Radiology and Medicine, Duke University Medical Center, 40 Duke Medicine Cir, Durham, NC, 27710 (M.R.B.); Center for Advanced Magnetic Resonance Development, Duke University Medical Center, Durham, NC (M.R.B.); and Department of Radiology, University of North Carolina, Chapel Hill, NC (M.R.B.)
| | - Robert G Adamo
- From the Department of Radiology, Duke University School of Medicine, Durham, NC (S.M.G.); Department of Radiology, West China Hospital, Sichuan University, Chengdu, China (H.J., B.S.); Juravinski Hospital and Cancer Centre, Hamilton Health Sciences, McMaster University, Hamilton, Ontario, Canada (C.B.v.d.P.); Faculty of Health Sciences, Queen's University, Kingston, Ontario, Canada (J.P.S.); Ottawa Hospital Research Institute, Ottawa, Ontario, Canada (E.L.); Faculty of Medicine at The University of Ottawa, Ottawa, Ontario, Canada (R.G.A.); Departments of Radiology and Epidemiology, University of Ottawa, Ottawa, Ontario, Canada (M.D.F.M.); The Ottawa Hospital Research Institute Clinical Epidemiology Program, Ottawa, Ontario, Canada (M.D.F.M.); Department of Diagnostic Radiology, Queen Elizabeth II Health Sciences Centre and Dalhousie University, Halifax, Nova Scotia, Canada (A.F.C.); Department of Radiology, Centre Hospitalier de l'Université de Montréal, Montréal, Québec, Canada (A.T.); Department of Radiology, College of Medicine, Taibah University, Medina, Saudi Arabia (A.S.A.); Department of Radiology, King Faisal Specialist Hospital and Research Centre, Medina, Saudi Arabia (A.S.A.); Department of Radiology, Duke University Medical Center, Durham, NC (B.C.A.); Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, Zurich, Switzerland (C.S.R.); Department of Radiology, Nottingham University Hospitals NHS Trust, Nottingham, United Kingdom (C.C.); Centre de Recherche du Centre Hospitalier de l'Université de Montréal, Montréal, Québec, Canada (M.C.); Department of Radiology, The Third Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China (J.W.); Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea (S.H.C.); Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Mo (T.J.F., D.R.L.); Department of Radiology, Seoul National University College of Medicine, Jongno-gu, Seoul, South Korea (I.J.); Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Hubei, Wuhan, China (Z.K.); Weill Cornell Medical Center, New York, NY (A.S.K.); Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Songpa-gu, Seoul, South Korea (S.Y.K.); Department of Radiology, Dong-A University Hospital, Dong-A University College of Medicine, Seo-gu, Busan, South Korea (H.K.); Department of Radiology, Hôpital Beaujon, APHP.Nord, Clichy and Université Paris Cité, CRI UMR 1149, Paris, France (M.R.); Second Radiology Department, Warsaw Medical University, Warsaw, Poland (J.P., G.R.); Department of Radiology, Jeonbuk National University Medical School and Hospital, Deokjin-gu, Jeonju, Jeonbuk, South Korea (J.S.S.); Departments of Radiology and Medicine, Duke University Medical Center, 40 Duke Medicine Cir, Durham, NC, 27710 (M.R.B.); Center for Advanced Magnetic Resonance Development, Duke University Medical Center, Durham, NC (M.R.B.); and Department of Radiology, University of North Carolina, Chapel Hill, NC (M.R.B.)
| | - Matthew D F McInnes
- From the Department of Radiology, Duke University School of Medicine, Durham, NC (S.M.G.); Department of Radiology, West China Hospital, Sichuan University, Chengdu, China (H.J., B.S.); Juravinski Hospital and Cancer Centre, Hamilton Health Sciences, McMaster University, Hamilton, Ontario, Canada (C.B.v.d.P.); Faculty of Health Sciences, Queen's University, Kingston, Ontario, Canada (J.P.S.); Ottawa Hospital Research Institute, Ottawa, Ontario, Canada (E.L.); Faculty of Medicine at The University of Ottawa, Ottawa, Ontario, Canada (R.G.A.); Departments of Radiology and Epidemiology, University of Ottawa, Ottawa, Ontario, Canada (M.D.F.M.); The Ottawa Hospital Research Institute Clinical Epidemiology Program, Ottawa, Ontario, Canada (M.D.F.M.); Department of Diagnostic Radiology, Queen Elizabeth II Health Sciences Centre and Dalhousie University, Halifax, Nova Scotia, Canada (A.F.C.); Department of Radiology, Centre Hospitalier de l'Université de Montréal, Montréal, Québec, Canada (A.T.); Department of Radiology, College of Medicine, Taibah University, Medina, Saudi Arabia (A.S.A.); Department of Radiology, King Faisal Specialist Hospital and Research Centre, Medina, Saudi Arabia (A.S.A.); Department of Radiology, Duke University Medical Center, Durham, NC (B.C.A.); Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, Zurich, Switzerland (C.S.R.); Department of Radiology, Nottingham University Hospitals NHS Trust, Nottingham, United Kingdom (C.C.); Centre de Recherche du Centre Hospitalier de l'Université de Montréal, Montréal, Québec, Canada (M.C.); Department of Radiology, The Third Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China (J.W.); Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea (S.H.C.); Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Mo (T.J.F., D.R.L.); Department of Radiology, Seoul National University College of Medicine, Jongno-gu, Seoul, South Korea (I.J.); Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Hubei, Wuhan, China (Z.K.); Weill Cornell Medical Center, New York, NY (A.S.K.); Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Songpa-gu, Seoul, South Korea (S.Y.K.); Department of Radiology, Dong-A University Hospital, Dong-A University College of Medicine, Seo-gu, Busan, South Korea (H.K.); Department of Radiology, Hôpital Beaujon, APHP.Nord, Clichy and Université Paris Cité, CRI UMR 1149, Paris, France (M.R.); Second Radiology Department, Warsaw Medical University, Warsaw, Poland (J.P., G.R.); Department of Radiology, Jeonbuk National University Medical School and Hospital, Deokjin-gu, Jeonju, Jeonbuk, South Korea (J.S.S.); Departments of Radiology and Medicine, Duke University Medical Center, 40 Duke Medicine Cir, Durham, NC, 27710 (M.R.B.); Center for Advanced Magnetic Resonance Development, Duke University Medical Center, Durham, NC (M.R.B.); and Department of Radiology, University of North Carolina, Chapel Hill, NC (M.R.B.)
| | - Andreu F Costa
- From the Department of Radiology, Duke University School of Medicine, Durham, NC (S.M.G.); Department of Radiology, West China Hospital, Sichuan University, Chengdu, China (H.J., B.S.); Juravinski Hospital and Cancer Centre, Hamilton Health Sciences, McMaster University, Hamilton, Ontario, Canada (C.B.v.d.P.); Faculty of Health Sciences, Queen's University, Kingston, Ontario, Canada (J.P.S.); Ottawa Hospital Research Institute, Ottawa, Ontario, Canada (E.L.); Faculty of Medicine at The University of Ottawa, Ottawa, Ontario, Canada (R.G.A.); Departments of Radiology and Epidemiology, University of Ottawa, Ottawa, Ontario, Canada (M.D.F.M.); The Ottawa Hospital Research Institute Clinical Epidemiology Program, Ottawa, Ontario, Canada (M.D.F.M.); Department of Diagnostic Radiology, Queen Elizabeth II Health Sciences Centre and Dalhousie University, Halifax, Nova Scotia, Canada (A.F.C.); Department of Radiology, Centre Hospitalier de l'Université de Montréal, Montréal, Québec, Canada (A.T.); Department of Radiology, College of Medicine, Taibah University, Medina, Saudi Arabia (A.S.A.); Department of Radiology, King Faisal Specialist Hospital and Research Centre, Medina, Saudi Arabia (A.S.A.); Department of Radiology, Duke University Medical Center, Durham, NC (B.C.A.); Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, Zurich, Switzerland (C.S.R.); Department of Radiology, Nottingham University Hospitals NHS Trust, Nottingham, United Kingdom (C.C.); Centre de Recherche du Centre Hospitalier de l'Université de Montréal, Montréal, Québec, Canada (M.C.); Department of Radiology, The Third Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China (J.W.); Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea (S.H.C.); Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Mo (T.J.F., D.R.L.); Department of Radiology, Seoul National University College of Medicine, Jongno-gu, Seoul, South Korea (I.J.); Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Hubei, Wuhan, China (Z.K.); Weill Cornell Medical Center, New York, NY (A.S.K.); Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Songpa-gu, Seoul, South Korea (S.Y.K.); Department of Radiology, Dong-A University Hospital, Dong-A University College of Medicine, Seo-gu, Busan, South Korea (H.K.); Department of Radiology, Hôpital Beaujon, APHP.Nord, Clichy and Université Paris Cité, CRI UMR 1149, Paris, France (M.R.); Second Radiology Department, Warsaw Medical University, Warsaw, Poland (J.P., G.R.); Department of Radiology, Jeonbuk National University Medical School and Hospital, Deokjin-gu, Jeonju, Jeonbuk, South Korea (J.S.S.); Departments of Radiology and Medicine, Duke University Medical Center, 40 Duke Medicine Cir, Durham, NC, 27710 (M.R.B.); Center for Advanced Magnetic Resonance Development, Duke University Medical Center, Durham, NC (M.R.B.); and Department of Radiology, University of North Carolina, Chapel Hill, NC (M.R.B.)
| | - An Tang
- From the Department of Radiology, Duke University School of Medicine, Durham, NC (S.M.G.); Department of Radiology, West China Hospital, Sichuan University, Chengdu, China (H.J., B.S.); Juravinski Hospital and Cancer Centre, Hamilton Health Sciences, McMaster University, Hamilton, Ontario, Canada (C.B.v.d.P.); Faculty of Health Sciences, Queen's University, Kingston, Ontario, Canada (J.P.S.); Ottawa Hospital Research Institute, Ottawa, Ontario, Canada (E.L.); Faculty of Medicine at The University of Ottawa, Ottawa, Ontario, Canada (R.G.A.); Departments of Radiology and Epidemiology, University of Ottawa, Ottawa, Ontario, Canada (M.D.F.M.); The Ottawa Hospital Research Institute Clinical Epidemiology Program, Ottawa, Ontario, Canada (M.D.F.M.); Department of Diagnostic Radiology, Queen Elizabeth II Health Sciences Centre and Dalhousie University, Halifax, Nova Scotia, Canada (A.F.C.); Department of Radiology, Centre Hospitalier de l'Université de Montréal, Montréal, Québec, Canada (A.T.); Department of Radiology, College of Medicine, Taibah University, Medina, Saudi Arabia (A.S.A.); Department of Radiology, King Faisal Specialist Hospital and Research Centre, Medina, Saudi Arabia (A.S.A.); Department of Radiology, Duke University Medical Center, Durham, NC (B.C.A.); Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, Zurich, Switzerland (C.S.R.); Department of Radiology, Nottingham University Hospitals NHS Trust, Nottingham, United Kingdom (C.C.); Centre de Recherche du Centre Hospitalier de l'Université de Montréal, Montréal, Québec, Canada (M.C.); Department of Radiology, The Third Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China (J.W.); Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea (S.H.C.); Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Mo (T.J.F., D.R.L.); Department of Radiology, Seoul National University College of Medicine, Jongno-gu, Seoul, South Korea (I.J.); Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Hubei, Wuhan, China (Z.K.); Weill Cornell Medical Center, New York, NY (A.S.K.); Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Songpa-gu, Seoul, South Korea (S.Y.K.); Department of Radiology, Dong-A University Hospital, Dong-A University College of Medicine, Seo-gu, Busan, South Korea (H.K.); Department of Radiology, Hôpital Beaujon, APHP.Nord, Clichy and Université Paris Cité, CRI UMR 1149, Paris, France (M.R.); Second Radiology Department, Warsaw Medical University, Warsaw, Poland (J.P., G.R.); Department of Radiology, Jeonbuk National University Medical School and Hospital, Deokjin-gu, Jeonju, Jeonbuk, South Korea (J.S.S.); Departments of Radiology and Medicine, Duke University Medical Center, 40 Duke Medicine Cir, Durham, NC, 27710 (M.R.B.); Center for Advanced Magnetic Resonance Development, Duke University Medical Center, Durham, NC (M.R.B.); and Department of Radiology, University of North Carolina, Chapel Hill, NC (M.R.B.)
| | - Ayman S Alhasan
- From the Department of Radiology, Duke University School of Medicine, Durham, NC (S.M.G.); Department of Radiology, West China Hospital, Sichuan University, Chengdu, China (H.J., B.S.); Juravinski Hospital and Cancer Centre, Hamilton Health Sciences, McMaster University, Hamilton, Ontario, Canada (C.B.v.d.P.); Faculty of Health Sciences, Queen's University, Kingston, Ontario, Canada (J.P.S.); Ottawa Hospital Research Institute, Ottawa, Ontario, Canada (E.L.); Faculty of Medicine at The University of Ottawa, Ottawa, Ontario, Canada (R.G.A.); Departments of Radiology and Epidemiology, University of Ottawa, Ottawa, Ontario, Canada (M.D.F.M.); The Ottawa Hospital Research Institute Clinical Epidemiology Program, Ottawa, Ontario, Canada (M.D.F.M.); Department of Diagnostic Radiology, Queen Elizabeth II Health Sciences Centre and Dalhousie University, Halifax, Nova Scotia, Canada (A.F.C.); Department of Radiology, Centre Hospitalier de l'Université de Montréal, Montréal, Québec, Canada (A.T.); Department of Radiology, College of Medicine, Taibah University, Medina, Saudi Arabia (A.S.A.); Department of Radiology, King Faisal Specialist Hospital and Research Centre, Medina, Saudi Arabia (A.S.A.); Department of Radiology, Duke University Medical Center, Durham, NC (B.C.A.); Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, Zurich, Switzerland (C.S.R.); Department of Radiology, Nottingham University Hospitals NHS Trust, Nottingham, United Kingdom (C.C.); Centre de Recherche du Centre Hospitalier de l'Université de Montréal, Montréal, Québec, Canada (M.C.); Department of Radiology, The Third Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China (J.W.); Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea (S.H.C.); Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Mo (T.J.F., D.R.L.); Department of Radiology, Seoul National University College of Medicine, Jongno-gu, Seoul, South Korea (I.J.); Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Hubei, Wuhan, China (Z.K.); Weill Cornell Medical Center, New York, NY (A.S.K.); Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Songpa-gu, Seoul, South Korea (S.Y.K.); Department of Radiology, Dong-A University Hospital, Dong-A University College of Medicine, Seo-gu, Busan, South Korea (H.K.); Department of Radiology, Hôpital Beaujon, APHP.Nord, Clichy and Université Paris Cité, CRI UMR 1149, Paris, France (M.R.); Second Radiology Department, Warsaw Medical University, Warsaw, Poland (J.P., G.R.); Department of Radiology, Jeonbuk National University Medical School and Hospital, Deokjin-gu, Jeonju, Jeonbuk, South Korea (J.S.S.); Departments of Radiology and Medicine, Duke University Medical Center, 40 Duke Medicine Cir, Durham, NC, 27710 (M.R.B.); Center for Advanced Magnetic Resonance Development, Duke University Medical Center, Durham, NC (M.R.B.); and Department of Radiology, University of North Carolina, Chapel Hill, NC (M.R.B.)
| | - Brian C Allen
- From the Department of Radiology, Duke University School of Medicine, Durham, NC (S.M.G.); Department of Radiology, West China Hospital, Sichuan University, Chengdu, China (H.J., B.S.); Juravinski Hospital and Cancer Centre, Hamilton Health Sciences, McMaster University, Hamilton, Ontario, Canada (C.B.v.d.P.); Faculty of Health Sciences, Queen's University, Kingston, Ontario, Canada (J.P.S.); Ottawa Hospital Research Institute, Ottawa, Ontario, Canada (E.L.); Faculty of Medicine at The University of Ottawa, Ottawa, Ontario, Canada (R.G.A.); Departments of Radiology and Epidemiology, University of Ottawa, Ottawa, Ontario, Canada (M.D.F.M.); The Ottawa Hospital Research Institute Clinical Epidemiology Program, Ottawa, Ontario, Canada (M.D.F.M.); Department of Diagnostic Radiology, Queen Elizabeth II Health Sciences Centre and Dalhousie University, Halifax, Nova Scotia, Canada (A.F.C.); Department of Radiology, Centre Hospitalier de l'Université de Montréal, Montréal, Québec, Canada (A.T.); Department of Radiology, College of Medicine, Taibah University, Medina, Saudi Arabia (A.S.A.); Department of Radiology, King Faisal Specialist Hospital and Research Centre, Medina, Saudi Arabia (A.S.A.); Department of Radiology, Duke University Medical Center, Durham, NC (B.C.A.); Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, Zurich, Switzerland (C.S.R.); Department of Radiology, Nottingham University Hospitals NHS Trust, Nottingham, United Kingdom (C.C.); Centre de Recherche du Centre Hospitalier de l'Université de Montréal, Montréal, Québec, Canada (M.C.); Department of Radiology, The Third Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China (J.W.); Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea (S.H.C.); Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Mo (T.J.F., D.R.L.); Department of Radiology, Seoul National University College of Medicine, Jongno-gu, Seoul, South Korea (I.J.); Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Hubei, Wuhan, China (Z.K.); Weill Cornell Medical Center, New York, NY (A.S.K.); Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Songpa-gu, Seoul, South Korea (S.Y.K.); Department of Radiology, Dong-A University Hospital, Dong-A University College of Medicine, Seo-gu, Busan, South Korea (H.K.); Department of Radiology, Hôpital Beaujon, APHP.Nord, Clichy and Université Paris Cité, CRI UMR 1149, Paris, France (M.R.); Second Radiology Department, Warsaw Medical University, Warsaw, Poland (J.P., G.R.); Department of Radiology, Jeonbuk National University Medical School and Hospital, Deokjin-gu, Jeonju, Jeonbuk, South Korea (J.S.S.); Departments of Radiology and Medicine, Duke University Medical Center, 40 Duke Medicine Cir, Durham, NC, 27710 (M.R.B.); Center for Advanced Magnetic Resonance Development, Duke University Medical Center, Durham, NC (M.R.B.); and Department of Radiology, University of North Carolina, Chapel Hill, NC (M.R.B.)
| | - Caecilia S Reiner
- From the Department of Radiology, Duke University School of Medicine, Durham, NC (S.M.G.); Department of Radiology, West China Hospital, Sichuan University, Chengdu, China (H.J., B.S.); Juravinski Hospital and Cancer Centre, Hamilton Health Sciences, McMaster University, Hamilton, Ontario, Canada (C.B.v.d.P.); Faculty of Health Sciences, Queen's University, Kingston, Ontario, Canada (J.P.S.); Ottawa Hospital Research Institute, Ottawa, Ontario, Canada (E.L.); Faculty of Medicine at The University of Ottawa, Ottawa, Ontario, Canada (R.G.A.); Departments of Radiology and Epidemiology, University of Ottawa, Ottawa, Ontario, Canada (M.D.F.M.); The Ottawa Hospital Research Institute Clinical Epidemiology Program, Ottawa, Ontario, Canada (M.D.F.M.); Department of Diagnostic Radiology, Queen Elizabeth II Health Sciences Centre and Dalhousie University, Halifax, Nova Scotia, Canada (A.F.C.); Department of Radiology, Centre Hospitalier de l'Université de Montréal, Montréal, Québec, Canada (A.T.); Department of Radiology, College of Medicine, Taibah University, Medina, Saudi Arabia (A.S.A.); Department of Radiology, King Faisal Specialist Hospital and Research Centre, Medina, Saudi Arabia (A.S.A.); Department of Radiology, Duke University Medical Center, Durham, NC (B.C.A.); Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, Zurich, Switzerland (C.S.R.); Department of Radiology, Nottingham University Hospitals NHS Trust, Nottingham, United Kingdom (C.C.); Centre de Recherche du Centre Hospitalier de l'Université de Montréal, Montréal, Québec, Canada (M.C.); Department of Radiology, The Third Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China (J.W.); Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea (S.H.C.); Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Mo (T.J.F., D.R.L.); Department of Radiology, Seoul National University College of Medicine, Jongno-gu, Seoul, South Korea (I.J.); Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Hubei, Wuhan, China (Z.K.); Weill Cornell Medical Center, New York, NY (A.S.K.); Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Songpa-gu, Seoul, South Korea (S.Y.K.); Department of Radiology, Dong-A University Hospital, Dong-A University College of Medicine, Seo-gu, Busan, South Korea (H.K.); Department of Radiology, Hôpital Beaujon, APHP.Nord, Clichy and Université Paris Cité, CRI UMR 1149, Paris, France (M.R.); Second Radiology Department, Warsaw Medical University, Warsaw, Poland (J.P., G.R.); Department of Radiology, Jeonbuk National University Medical School and Hospital, Deokjin-gu, Jeonju, Jeonbuk, South Korea (J.S.S.); Departments of Radiology and Medicine, Duke University Medical Center, 40 Duke Medicine Cir, Durham, NC, 27710 (M.R.B.); Center for Advanced Magnetic Resonance Development, Duke University Medical Center, Durham, NC (M.R.B.); and Department of Radiology, University of North Carolina, Chapel Hill, NC (M.R.B.)
| | - Christopher Clarke
- From the Department of Radiology, Duke University School of Medicine, Durham, NC (S.M.G.); Department of Radiology, West China Hospital, Sichuan University, Chengdu, China (H.J., B.S.); Juravinski Hospital and Cancer Centre, Hamilton Health Sciences, McMaster University, Hamilton, Ontario, Canada (C.B.v.d.P.); Faculty of Health Sciences, Queen's University, Kingston, Ontario, Canada (J.P.S.); Ottawa Hospital Research Institute, Ottawa, Ontario, Canada (E.L.); Faculty of Medicine at The University of Ottawa, Ottawa, Ontario, Canada (R.G.A.); Departments of Radiology and Epidemiology, University of Ottawa, Ottawa, Ontario, Canada (M.D.F.M.); The Ottawa Hospital Research Institute Clinical Epidemiology Program, Ottawa, Ontario, Canada (M.D.F.M.); Department of Diagnostic Radiology, Queen Elizabeth II Health Sciences Centre and Dalhousie University, Halifax, Nova Scotia, Canada (A.F.C.); Department of Radiology, Centre Hospitalier de l'Université de Montréal, Montréal, Québec, Canada (A.T.); Department of Radiology, College of Medicine, Taibah University, Medina, Saudi Arabia (A.S.A.); Department of Radiology, King Faisal Specialist Hospital and Research Centre, Medina, Saudi Arabia (A.S.A.); Department of Radiology, Duke University Medical Center, Durham, NC (B.C.A.); Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, Zurich, Switzerland (C.S.R.); Department of Radiology, Nottingham University Hospitals NHS Trust, Nottingham, United Kingdom (C.C.); Centre de Recherche du Centre Hospitalier de l'Université de Montréal, Montréal, Québec, Canada (M.C.); Department of Radiology, The Third Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China (J.W.); Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea (S.H.C.); Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Mo (T.J.F., D.R.L.); Department of Radiology, Seoul National University College of Medicine, Jongno-gu, Seoul, South Korea (I.J.); Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Hubei, Wuhan, China (Z.K.); Weill Cornell Medical Center, New York, NY (A.S.K.); Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Songpa-gu, Seoul, South Korea (S.Y.K.); Department of Radiology, Dong-A University Hospital, Dong-A University College of Medicine, Seo-gu, Busan, South Korea (H.K.); Department of Radiology, Hôpital Beaujon, APHP.Nord, Clichy and Université Paris Cité, CRI UMR 1149, Paris, France (M.R.); Second Radiology Department, Warsaw Medical University, Warsaw, Poland (J.P., G.R.); Department of Radiology, Jeonbuk National University Medical School and Hospital, Deokjin-gu, Jeonju, Jeonbuk, South Korea (J.S.S.); Departments of Radiology and Medicine, Duke University Medical Center, 40 Duke Medicine Cir, Durham, NC, 27710 (M.R.B.); Center for Advanced Magnetic Resonance Development, Duke University Medical Center, Durham, NC (M.R.B.); and Department of Radiology, University of North Carolina, Chapel Hill, NC (M.R.B.)
| | - Milena Cerny
- From the Department of Radiology, Duke University School of Medicine, Durham, NC (S.M.G.); Department of Radiology, West China Hospital, Sichuan University, Chengdu, China (H.J., B.S.); Juravinski Hospital and Cancer Centre, Hamilton Health Sciences, McMaster University, Hamilton, Ontario, Canada (C.B.v.d.P.); Faculty of Health Sciences, Queen's University, Kingston, Ontario, Canada (J.P.S.); Ottawa Hospital Research Institute, Ottawa, Ontario, Canada (E.L.); Faculty of Medicine at The University of Ottawa, Ottawa, Ontario, Canada (R.G.A.); Departments of Radiology and Epidemiology, University of Ottawa, Ottawa, Ontario, Canada (M.D.F.M.); The Ottawa Hospital Research Institute Clinical Epidemiology Program, Ottawa, Ontario, Canada (M.D.F.M.); Department of Diagnostic Radiology, Queen Elizabeth II Health Sciences Centre and Dalhousie University, Halifax, Nova Scotia, Canada (A.F.C.); Department of Radiology, Centre Hospitalier de l'Université de Montréal, Montréal, Québec, Canada (A.T.); Department of Radiology, College of Medicine, Taibah University, Medina, Saudi Arabia (A.S.A.); Department of Radiology, King Faisal Specialist Hospital and Research Centre, Medina, Saudi Arabia (A.S.A.); Department of Radiology, Duke University Medical Center, Durham, NC (B.C.A.); Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, Zurich, Switzerland (C.S.R.); Department of Radiology, Nottingham University Hospitals NHS Trust, Nottingham, United Kingdom (C.C.); Centre de Recherche du Centre Hospitalier de l'Université de Montréal, Montréal, Québec, Canada (M.C.); Department of Radiology, The Third Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China (J.W.); Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea (S.H.C.); Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Mo (T.J.F., D.R.L.); Department of Radiology, Seoul National University College of Medicine, Jongno-gu, Seoul, South Korea (I.J.); Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Hubei, Wuhan, China (Z.K.); Weill Cornell Medical Center, New York, NY (A.S.K.); Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Songpa-gu, Seoul, South Korea (S.Y.K.); Department of Radiology, Dong-A University Hospital, Dong-A University College of Medicine, Seo-gu, Busan, South Korea (H.K.); Department of Radiology, Hôpital Beaujon, APHP.Nord, Clichy and Université Paris Cité, CRI UMR 1149, Paris, France (M.R.); Second Radiology Department, Warsaw Medical University, Warsaw, Poland (J.P., G.R.); Department of Radiology, Jeonbuk National University Medical School and Hospital, Deokjin-gu, Jeonju, Jeonbuk, South Korea (J.S.S.); Departments of Radiology and Medicine, Duke University Medical Center, 40 Duke Medicine Cir, Durham, NC, 27710 (M.R.B.); Center for Advanced Magnetic Resonance Development, Duke University Medical Center, Durham, NC (M.R.B.); and Department of Radiology, University of North Carolina, Chapel Hill, NC (M.R.B.)
| | - Jin Wang
- From the Department of Radiology, Duke University School of Medicine, Durham, NC (S.M.G.); Department of Radiology, West China Hospital, Sichuan University, Chengdu, China (H.J., B.S.); Juravinski Hospital and Cancer Centre, Hamilton Health Sciences, McMaster University, Hamilton, Ontario, Canada (C.B.v.d.P.); Faculty of Health Sciences, Queen's University, Kingston, Ontario, Canada (J.P.S.); Ottawa Hospital Research Institute, Ottawa, Ontario, Canada (E.L.); Faculty of Medicine at The University of Ottawa, Ottawa, Ontario, Canada (R.G.A.); Departments of Radiology and Epidemiology, University of Ottawa, Ottawa, Ontario, Canada (M.D.F.M.); The Ottawa Hospital Research Institute Clinical Epidemiology Program, Ottawa, Ontario, Canada (M.D.F.M.); Department of Diagnostic Radiology, Queen Elizabeth II Health Sciences Centre and Dalhousie University, Halifax, Nova Scotia, Canada (A.F.C.); Department of Radiology, Centre Hospitalier de l'Université de Montréal, Montréal, Québec, Canada (A.T.); Department of Radiology, College of Medicine, Taibah University, Medina, Saudi Arabia (A.S.A.); Department of Radiology, King Faisal Specialist Hospital and Research Centre, Medina, Saudi Arabia (A.S.A.); Department of Radiology, Duke University Medical Center, Durham, NC (B.C.A.); Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, Zurich, Switzerland (C.S.R.); Department of Radiology, Nottingham University Hospitals NHS Trust, Nottingham, United Kingdom (C.C.); Centre de Recherche du Centre Hospitalier de l'Université de Montréal, Montréal, Québec, Canada (M.C.); Department of Radiology, The Third Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China (J.W.); Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea (S.H.C.); Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Mo (T.J.F., D.R.L.); Department of Radiology, Seoul National University College of Medicine, Jongno-gu, Seoul, South Korea (I.J.); Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Hubei, Wuhan, China (Z.K.); Weill Cornell Medical Center, New York, NY (A.S.K.); Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Songpa-gu, Seoul, South Korea (S.Y.K.); Department of Radiology, Dong-A University Hospital, Dong-A University College of Medicine, Seo-gu, Busan, South Korea (H.K.); Department of Radiology, Hôpital Beaujon, APHP.Nord, Clichy and Université Paris Cité, CRI UMR 1149, Paris, France (M.R.); Second Radiology Department, Warsaw Medical University, Warsaw, Poland (J.P., G.R.); Department of Radiology, Jeonbuk National University Medical School and Hospital, Deokjin-gu, Jeonju, Jeonbuk, South Korea (J.S.S.); Departments of Radiology and Medicine, Duke University Medical Center, 40 Duke Medicine Cir, Durham, NC, 27710 (M.R.B.); Center for Advanced Magnetic Resonance Development, Duke University Medical Center, Durham, NC (M.R.B.); and Department of Radiology, University of North Carolina, Chapel Hill, NC (M.R.B.)
| | - Sang Hyun Choi
- From the Department of Radiology, Duke University School of Medicine, Durham, NC (S.M.G.); Department of Radiology, West China Hospital, Sichuan University, Chengdu, China (H.J., B.S.); Juravinski Hospital and Cancer Centre, Hamilton Health Sciences, McMaster University, Hamilton, Ontario, Canada (C.B.v.d.P.); Faculty of Health Sciences, Queen's University, Kingston, Ontario, Canada (J.P.S.); Ottawa Hospital Research Institute, Ottawa, Ontario, Canada (E.L.); Faculty of Medicine at The University of Ottawa, Ottawa, Ontario, Canada (R.G.A.); Departments of Radiology and Epidemiology, University of Ottawa, Ottawa, Ontario, Canada (M.D.F.M.); The Ottawa Hospital Research Institute Clinical Epidemiology Program, Ottawa, Ontario, Canada (M.D.F.M.); Department of Diagnostic Radiology, Queen Elizabeth II Health Sciences Centre and Dalhousie University, Halifax, Nova Scotia, Canada (A.F.C.); Department of Radiology, Centre Hospitalier de l'Université de Montréal, Montréal, Québec, Canada (A.T.); Department of Radiology, College of Medicine, Taibah University, Medina, Saudi Arabia (A.S.A.); Department of Radiology, King Faisal Specialist Hospital and Research Centre, Medina, Saudi Arabia (A.S.A.); Department of Radiology, Duke University Medical Center, Durham, NC (B.C.A.); Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, Zurich, Switzerland (C.S.R.); Department of Radiology, Nottingham University Hospitals NHS Trust, Nottingham, United Kingdom (C.C.); Centre de Recherche du Centre Hospitalier de l'Université de Montréal, Montréal, Québec, Canada (M.C.); Department of Radiology, The Third Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China (J.W.); Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea (S.H.C.); Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Mo (T.J.F., D.R.L.); Department of Radiology, Seoul National University College of Medicine, Jongno-gu, Seoul, South Korea (I.J.); Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Hubei, Wuhan, China (Z.K.); Weill Cornell Medical Center, New York, NY (A.S.K.); Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Songpa-gu, Seoul, South Korea (S.Y.K.); Department of Radiology, Dong-A University Hospital, Dong-A University College of Medicine, Seo-gu, Busan, South Korea (H.K.); Department of Radiology, Hôpital Beaujon, APHP.Nord, Clichy and Université Paris Cité, CRI UMR 1149, Paris, France (M.R.); Second Radiology Department, Warsaw Medical University, Warsaw, Poland (J.P., G.R.); Department of Radiology, Jeonbuk National University Medical School and Hospital, Deokjin-gu, Jeonju, Jeonbuk, South Korea (J.S.S.); Departments of Radiology and Medicine, Duke University Medical Center, 40 Duke Medicine Cir, Durham, NC, 27710 (M.R.B.); Center for Advanced Magnetic Resonance Development, Duke University Medical Center, Durham, NC (M.R.B.); and Department of Radiology, University of North Carolina, Chapel Hill, NC (M.R.B.)
| | - Tyler J Fraum
- From the Department of Radiology, Duke University School of Medicine, Durham, NC (S.M.G.); Department of Radiology, West China Hospital, Sichuan University, Chengdu, China (H.J., B.S.); Juravinski Hospital and Cancer Centre, Hamilton Health Sciences, McMaster University, Hamilton, Ontario, Canada (C.B.v.d.P.); Faculty of Health Sciences, Queen's University, Kingston, Ontario, Canada (J.P.S.); Ottawa Hospital Research Institute, Ottawa, Ontario, Canada (E.L.); Faculty of Medicine at The University of Ottawa, Ottawa, Ontario, Canada (R.G.A.); Departments of Radiology and Epidemiology, University of Ottawa, Ottawa, Ontario, Canada (M.D.F.M.); The Ottawa Hospital Research Institute Clinical Epidemiology Program, Ottawa, Ontario, Canada (M.D.F.M.); Department of Diagnostic Radiology, Queen Elizabeth II Health Sciences Centre and Dalhousie University, Halifax, Nova Scotia, Canada (A.F.C.); Department of Radiology, Centre Hospitalier de l'Université de Montréal, Montréal, Québec, Canada (A.T.); Department of Radiology, College of Medicine, Taibah University, Medina, Saudi Arabia (A.S.A.); Department of Radiology, King Faisal Specialist Hospital and Research Centre, Medina, Saudi Arabia (A.S.A.); Department of Radiology, Duke University Medical Center, Durham, NC (B.C.A.); Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, Zurich, Switzerland (C.S.R.); Department of Radiology, Nottingham University Hospitals NHS Trust, Nottingham, United Kingdom (C.C.); Centre de Recherche du Centre Hospitalier de l'Université de Montréal, Montréal, Québec, Canada (M.C.); Department of Radiology, The Third Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China (J.W.); Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea (S.H.C.); Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Mo (T.J.F., D.R.L.); Department of Radiology, Seoul National University College of Medicine, Jongno-gu, Seoul, South Korea (I.J.); Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Hubei, Wuhan, China (Z.K.); Weill Cornell Medical Center, New York, NY (A.S.K.); Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Songpa-gu, Seoul, South Korea (S.Y.K.); Department of Radiology, Dong-A University Hospital, Dong-A University College of Medicine, Seo-gu, Busan, South Korea (H.K.); Department of Radiology, Hôpital Beaujon, APHP.Nord, Clichy and Université Paris Cité, CRI UMR 1149, Paris, France (M.R.); Second Radiology Department, Warsaw Medical University, Warsaw, Poland (J.P., G.R.); Department of Radiology, Jeonbuk National University Medical School and Hospital, Deokjin-gu, Jeonju, Jeonbuk, South Korea (J.S.S.); Departments of Radiology and Medicine, Duke University Medical Center, 40 Duke Medicine Cir, Durham, NC, 27710 (M.R.B.); Center for Advanced Magnetic Resonance Development, Duke University Medical Center, Durham, NC (M.R.B.); and Department of Radiology, University of North Carolina, Chapel Hill, NC (M.R.B.)
| | - Daniel R Ludwig
- From the Department of Radiology, Duke University School of Medicine, Durham, NC (S.M.G.); Department of Radiology, West China Hospital, Sichuan University, Chengdu, China (H.J., B.S.); Juravinski Hospital and Cancer Centre, Hamilton Health Sciences, McMaster University, Hamilton, Ontario, Canada (C.B.v.d.P.); Faculty of Health Sciences, Queen's University, Kingston, Ontario, Canada (J.P.S.); Ottawa Hospital Research Institute, Ottawa, Ontario, Canada (E.L.); Faculty of Medicine at The University of Ottawa, Ottawa, Ontario, Canada (R.G.A.); Departments of Radiology and Epidemiology, University of Ottawa, Ottawa, Ontario, Canada (M.D.F.M.); The Ottawa Hospital Research Institute Clinical Epidemiology Program, Ottawa, Ontario, Canada (M.D.F.M.); Department of Diagnostic Radiology, Queen Elizabeth II Health Sciences Centre and Dalhousie University, Halifax, Nova Scotia, Canada (A.F.C.); Department of Radiology, Centre Hospitalier de l'Université de Montréal, Montréal, Québec, Canada (A.T.); Department of Radiology, College of Medicine, Taibah University, Medina, Saudi Arabia (A.S.A.); Department of Radiology, King Faisal Specialist Hospital and Research Centre, Medina, Saudi Arabia (A.S.A.); Department of Radiology, Duke University Medical Center, Durham, NC (B.C.A.); Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, Zurich, Switzerland (C.S.R.); Department of Radiology, Nottingham University Hospitals NHS Trust, Nottingham, United Kingdom (C.C.); Centre de Recherche du Centre Hospitalier de l'Université de Montréal, Montréal, Québec, Canada (M.C.); Department of Radiology, The Third Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China (J.W.); Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea (S.H.C.); Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Mo (T.J.F., D.R.L.); Department of Radiology, Seoul National University College of Medicine, Jongno-gu, Seoul, South Korea (I.J.); Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Hubei, Wuhan, China (Z.K.); Weill Cornell Medical Center, New York, NY (A.S.K.); Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Songpa-gu, Seoul, South Korea (S.Y.K.); Department of Radiology, Dong-A University Hospital, Dong-A University College of Medicine, Seo-gu, Busan, South Korea (H.K.); Department of Radiology, Hôpital Beaujon, APHP.Nord, Clichy and Université Paris Cité, CRI UMR 1149, Paris, France (M.R.); Second Radiology Department, Warsaw Medical University, Warsaw, Poland (J.P., G.R.); Department of Radiology, Jeonbuk National University Medical School and Hospital, Deokjin-gu, Jeonju, Jeonbuk, South Korea (J.S.S.); Departments of Radiology and Medicine, Duke University Medical Center, 40 Duke Medicine Cir, Durham, NC, 27710 (M.R.B.); Center for Advanced Magnetic Resonance Development, Duke University Medical Center, Durham, NC (M.R.B.); and Department of Radiology, University of North Carolina, Chapel Hill, NC (M.R.B.)
| | - Bin Song
- From the Department of Radiology, Duke University School of Medicine, Durham, NC (S.M.G.); Department of Radiology, West China Hospital, Sichuan University, Chengdu, China (H.J., B.S.); Juravinski Hospital and Cancer Centre, Hamilton Health Sciences, McMaster University, Hamilton, Ontario, Canada (C.B.v.d.P.); Faculty of Health Sciences, Queen's University, Kingston, Ontario, Canada (J.P.S.); Ottawa Hospital Research Institute, Ottawa, Ontario, Canada (E.L.); Faculty of Medicine at The University of Ottawa, Ottawa, Ontario, Canada (R.G.A.); Departments of Radiology and Epidemiology, University of Ottawa, Ottawa, Ontario, Canada (M.D.F.M.); The Ottawa Hospital Research Institute Clinical Epidemiology Program, Ottawa, Ontario, Canada (M.D.F.M.); Department of Diagnostic Radiology, Queen Elizabeth II Health Sciences Centre and Dalhousie University, Halifax, Nova Scotia, Canada (A.F.C.); Department of Radiology, Centre Hospitalier de l'Université de Montréal, Montréal, Québec, Canada (A.T.); Department of Radiology, College of Medicine, Taibah University, Medina, Saudi Arabia (A.S.A.); Department of Radiology, King Faisal Specialist Hospital and Research Centre, Medina, Saudi Arabia (A.S.A.); Department of Radiology, Duke University Medical Center, Durham, NC (B.C.A.); Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, Zurich, Switzerland (C.S.R.); Department of Radiology, Nottingham University Hospitals NHS Trust, Nottingham, United Kingdom (C.C.); Centre de Recherche du Centre Hospitalier de l'Université de Montréal, Montréal, Québec, Canada (M.C.); Department of Radiology, The Third Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China (J.W.); Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea (S.H.C.); Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Mo (T.J.F., D.R.L.); Department of Radiology, Seoul National University College of Medicine, Jongno-gu, Seoul, South Korea (I.J.); Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Hubei, Wuhan, China (Z.K.); Weill Cornell Medical Center, New York, NY (A.S.K.); Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Songpa-gu, Seoul, South Korea (S.Y.K.); Department of Radiology, Dong-A University Hospital, Dong-A University College of Medicine, Seo-gu, Busan, South Korea (H.K.); Department of Radiology, Hôpital Beaujon, APHP.Nord, Clichy and Université Paris Cité, CRI UMR 1149, Paris, France (M.R.); Second Radiology Department, Warsaw Medical University, Warsaw, Poland (J.P., G.R.); Department of Radiology, Jeonbuk National University Medical School and Hospital, Deokjin-gu, Jeonju, Jeonbuk, South Korea (J.S.S.); Departments of Radiology and Medicine, Duke University Medical Center, 40 Duke Medicine Cir, Durham, NC, 27710 (M.R.B.); Center for Advanced Magnetic Resonance Development, Duke University Medical Center, Durham, NC (M.R.B.); and Department of Radiology, University of North Carolina, Chapel Hill, NC (M.R.B.)
| | - Ijin Joo
- From the Department of Radiology, Duke University School of Medicine, Durham, NC (S.M.G.); Department of Radiology, West China Hospital, Sichuan University, Chengdu, China (H.J., B.S.); Juravinski Hospital and Cancer Centre, Hamilton Health Sciences, McMaster University, Hamilton, Ontario, Canada (C.B.v.d.P.); Faculty of Health Sciences, Queen's University, Kingston, Ontario, Canada (J.P.S.); Ottawa Hospital Research Institute, Ottawa, Ontario, Canada (E.L.); Faculty of Medicine at The University of Ottawa, Ottawa, Ontario, Canada (R.G.A.); Departments of Radiology and Epidemiology, University of Ottawa, Ottawa, Ontario, Canada (M.D.F.M.); The Ottawa Hospital Research Institute Clinical Epidemiology Program, Ottawa, Ontario, Canada (M.D.F.M.); Department of Diagnostic Radiology, Queen Elizabeth II Health Sciences Centre and Dalhousie University, Halifax, Nova Scotia, Canada (A.F.C.); Department of Radiology, Centre Hospitalier de l'Université de Montréal, Montréal, Québec, Canada (A.T.); Department of Radiology, College of Medicine, Taibah University, Medina, Saudi Arabia (A.S.A.); Department of Radiology, King Faisal Specialist Hospital and Research Centre, Medina, Saudi Arabia (A.S.A.); Department of Radiology, Duke University Medical Center, Durham, NC (B.C.A.); Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, Zurich, Switzerland (C.S.R.); Department of Radiology, Nottingham University Hospitals NHS Trust, Nottingham, United Kingdom (C.C.); Centre de Recherche du Centre Hospitalier de l'Université de Montréal, Montréal, Québec, Canada (M.C.); Department of Radiology, The Third Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China (J.W.); Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea (S.H.C.); Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Mo (T.J.F., D.R.L.); Department of Radiology, Seoul National University College of Medicine, Jongno-gu, Seoul, South Korea (I.J.); Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Hubei, Wuhan, China (Z.K.); Weill Cornell Medical Center, New York, NY (A.S.K.); Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Songpa-gu, Seoul, South Korea (S.Y.K.); Department of Radiology, Dong-A University Hospital, Dong-A University College of Medicine, Seo-gu, Busan, South Korea (H.K.); Department of Radiology, Hôpital Beaujon, APHP.Nord, Clichy and Université Paris Cité, CRI UMR 1149, Paris, France (M.R.); Second Radiology Department, Warsaw Medical University, Warsaw, Poland (J.P., G.R.); Department of Radiology, Jeonbuk National University Medical School and Hospital, Deokjin-gu, Jeonju, Jeonbuk, South Korea (J.S.S.); Departments of Radiology and Medicine, Duke University Medical Center, 40 Duke Medicine Cir, Durham, NC, 27710 (M.R.B.); Center for Advanced Magnetic Resonance Development, Duke University Medical Center, Durham, NC (M.R.B.); and Department of Radiology, University of North Carolina, Chapel Hill, NC (M.R.B.)
| | - Zhen Kang
- From the Department of Radiology, Duke University School of Medicine, Durham, NC (S.M.G.); Department of Radiology, West China Hospital, Sichuan University, Chengdu, China (H.J., B.S.); Juravinski Hospital and Cancer Centre, Hamilton Health Sciences, McMaster University, Hamilton, Ontario, Canada (C.B.v.d.P.); Faculty of Health Sciences, Queen's University, Kingston, Ontario, Canada (J.P.S.); Ottawa Hospital Research Institute, Ottawa, Ontario, Canada (E.L.); Faculty of Medicine at The University of Ottawa, Ottawa, Ontario, Canada (R.G.A.); Departments of Radiology and Epidemiology, University of Ottawa, Ottawa, Ontario, Canada (M.D.F.M.); The Ottawa Hospital Research Institute Clinical Epidemiology Program, Ottawa, Ontario, Canada (M.D.F.M.); Department of Diagnostic Radiology, Queen Elizabeth II Health Sciences Centre and Dalhousie University, Halifax, Nova Scotia, Canada (A.F.C.); Department of Radiology, Centre Hospitalier de l'Université de Montréal, Montréal, Québec, Canada (A.T.); Department of Radiology, College of Medicine, Taibah University, Medina, Saudi Arabia (A.S.A.); Department of Radiology, King Faisal Specialist Hospital and Research Centre, Medina, Saudi Arabia (A.S.A.); Department of Radiology, Duke University Medical Center, Durham, NC (B.C.A.); Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, Zurich, Switzerland (C.S.R.); Department of Radiology, Nottingham University Hospitals NHS Trust, Nottingham, United Kingdom (C.C.); Centre de Recherche du Centre Hospitalier de l'Université de Montréal, Montréal, Québec, Canada (M.C.); Department of Radiology, The Third Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China (J.W.); Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea (S.H.C.); Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Mo (T.J.F., D.R.L.); Department of Radiology, Seoul National University College of Medicine, Jongno-gu, Seoul, South Korea (I.J.); Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Hubei, Wuhan, China (Z.K.); Weill Cornell Medical Center, New York, NY (A.S.K.); Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Songpa-gu, Seoul, South Korea (S.Y.K.); Department of Radiology, Dong-A University Hospital, Dong-A University College of Medicine, Seo-gu, Busan, South Korea (H.K.); Department of Radiology, Hôpital Beaujon, APHP.Nord, Clichy and Université Paris Cité, CRI UMR 1149, Paris, France (M.R.); Second Radiology Department, Warsaw Medical University, Warsaw, Poland (J.P., G.R.); Department of Radiology, Jeonbuk National University Medical School and Hospital, Deokjin-gu, Jeonju, Jeonbuk, South Korea (J.S.S.); Departments of Radiology and Medicine, Duke University Medical Center, 40 Duke Medicine Cir, Durham, NC, 27710 (M.R.B.); Center for Advanced Magnetic Resonance Development, Duke University Medical Center, Durham, NC (M.R.B.); and Department of Radiology, University of North Carolina, Chapel Hill, NC (M.R.B.)
| | - Andrea S Kierans
- From the Department of Radiology, Duke University School of Medicine, Durham, NC (S.M.G.); Department of Radiology, West China Hospital, Sichuan University, Chengdu, China (H.J., B.S.); Juravinski Hospital and Cancer Centre, Hamilton Health Sciences, McMaster University, Hamilton, Ontario, Canada (C.B.v.d.P.); Faculty of Health Sciences, Queen's University, Kingston, Ontario, Canada (J.P.S.); Ottawa Hospital Research Institute, Ottawa, Ontario, Canada (E.L.); Faculty of Medicine at The University of Ottawa, Ottawa, Ontario, Canada (R.G.A.); Departments of Radiology and Epidemiology, University of Ottawa, Ottawa, Ontario, Canada (M.D.F.M.); The Ottawa Hospital Research Institute Clinical Epidemiology Program, Ottawa, Ontario, Canada (M.D.F.M.); Department of Diagnostic Radiology, Queen Elizabeth II Health Sciences Centre and Dalhousie University, Halifax, Nova Scotia, Canada (A.F.C.); Department of Radiology, Centre Hospitalier de l'Université de Montréal, Montréal, Québec, Canada (A.T.); Department of Radiology, College of Medicine, Taibah University, Medina, Saudi Arabia (A.S.A.); Department of Radiology, King Faisal Specialist Hospital and Research Centre, Medina, Saudi Arabia (A.S.A.); Department of Radiology, Duke University Medical Center, Durham, NC (B.C.A.); Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, Zurich, Switzerland (C.S.R.); Department of Radiology, Nottingham University Hospitals NHS Trust, Nottingham, United Kingdom (C.C.); Centre de Recherche du Centre Hospitalier de l'Université de Montréal, Montréal, Québec, Canada (M.C.); Department of Radiology, The Third Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China (J.W.); Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea (S.H.C.); Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Mo (T.J.F., D.R.L.); Department of Radiology, Seoul National University College of Medicine, Jongno-gu, Seoul, South Korea (I.J.); Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Hubei, Wuhan, China (Z.K.); Weill Cornell Medical Center, New York, NY (A.S.K.); Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Songpa-gu, Seoul, South Korea (S.Y.K.); Department of Radiology, Dong-A University Hospital, Dong-A University College of Medicine, Seo-gu, Busan, South Korea (H.K.); Department of Radiology, Hôpital Beaujon, APHP.Nord, Clichy and Université Paris Cité, CRI UMR 1149, Paris, France (M.R.); Second Radiology Department, Warsaw Medical University, Warsaw, Poland (J.P., G.R.); Department of Radiology, Jeonbuk National University Medical School and Hospital, Deokjin-gu, Jeonju, Jeonbuk, South Korea (J.S.S.); Departments of Radiology and Medicine, Duke University Medical Center, 40 Duke Medicine Cir, Durham, NC, 27710 (M.R.B.); Center for Advanced Magnetic Resonance Development, Duke University Medical Center, Durham, NC (M.R.B.); and Department of Radiology, University of North Carolina, Chapel Hill, NC (M.R.B.)
| | - So Yeon Kim
- From the Department of Radiology, Duke University School of Medicine, Durham, NC (S.M.G.); Department of Radiology, West China Hospital, Sichuan University, Chengdu, China (H.J., B.S.); Juravinski Hospital and Cancer Centre, Hamilton Health Sciences, McMaster University, Hamilton, Ontario, Canada (C.B.v.d.P.); Faculty of Health Sciences, Queen's University, Kingston, Ontario, Canada (J.P.S.); Ottawa Hospital Research Institute, Ottawa, Ontario, Canada (E.L.); Faculty of Medicine at The University of Ottawa, Ottawa, Ontario, Canada (R.G.A.); Departments of Radiology and Epidemiology, University of Ottawa, Ottawa, Ontario, Canada (M.D.F.M.); The Ottawa Hospital Research Institute Clinical Epidemiology Program, Ottawa, Ontario, Canada (M.D.F.M.); Department of Diagnostic Radiology, Queen Elizabeth II Health Sciences Centre and Dalhousie University, Halifax, Nova Scotia, Canada (A.F.C.); Department of Radiology, Centre Hospitalier de l'Université de Montréal, Montréal, Québec, Canada (A.T.); Department of Radiology, College of Medicine, Taibah University, Medina, Saudi Arabia (A.S.A.); Department of Radiology, King Faisal Specialist Hospital and Research Centre, Medina, Saudi Arabia (A.S.A.); Department of Radiology, Duke University Medical Center, Durham, NC (B.C.A.); Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, Zurich, Switzerland (C.S.R.); Department of Radiology, Nottingham University Hospitals NHS Trust, Nottingham, United Kingdom (C.C.); Centre de Recherche du Centre Hospitalier de l'Université de Montréal, Montréal, Québec, Canada (M.C.); Department of Radiology, The Third Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China (J.W.); Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea (S.H.C.); Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Mo (T.J.F., D.R.L.); Department of Radiology, Seoul National University College of Medicine, Jongno-gu, Seoul, South Korea (I.J.); Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Hubei, Wuhan, China (Z.K.); Weill Cornell Medical Center, New York, NY (A.S.K.); Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Songpa-gu, Seoul, South Korea (S.Y.K.); Department of Radiology, Dong-A University Hospital, Dong-A University College of Medicine, Seo-gu, Busan, South Korea (H.K.); Department of Radiology, Hôpital Beaujon, APHP.Nord, Clichy and Université Paris Cité, CRI UMR 1149, Paris, France (M.R.); Second Radiology Department, Warsaw Medical University, Warsaw, Poland (J.P., G.R.); Department of Radiology, Jeonbuk National University Medical School and Hospital, Deokjin-gu, Jeonju, Jeonbuk, South Korea (J.S.S.); Departments of Radiology and Medicine, Duke University Medical Center, 40 Duke Medicine Cir, Durham, NC, 27710 (M.R.B.); Center for Advanced Magnetic Resonance Development, Duke University Medical Center, Durham, NC (M.R.B.); and Department of Radiology, University of North Carolina, Chapel Hill, NC (M.R.B.)
| | - Heejin Kwon
- From the Department of Radiology, Duke University School of Medicine, Durham, NC (S.M.G.); Department of Radiology, West China Hospital, Sichuan University, Chengdu, China (H.J., B.S.); Juravinski Hospital and Cancer Centre, Hamilton Health Sciences, McMaster University, Hamilton, Ontario, Canada (C.B.v.d.P.); Faculty of Health Sciences, Queen's University, Kingston, Ontario, Canada (J.P.S.); Ottawa Hospital Research Institute, Ottawa, Ontario, Canada (E.L.); Faculty of Medicine at The University of Ottawa, Ottawa, Ontario, Canada (R.G.A.); Departments of Radiology and Epidemiology, University of Ottawa, Ottawa, Ontario, Canada (M.D.F.M.); The Ottawa Hospital Research Institute Clinical Epidemiology Program, Ottawa, Ontario, Canada (M.D.F.M.); Department of Diagnostic Radiology, Queen Elizabeth II Health Sciences Centre and Dalhousie University, Halifax, Nova Scotia, Canada (A.F.C.); Department of Radiology, Centre Hospitalier de l'Université de Montréal, Montréal, Québec, Canada (A.T.); Department of Radiology, College of Medicine, Taibah University, Medina, Saudi Arabia (A.S.A.); Department of Radiology, King Faisal Specialist Hospital and Research Centre, Medina, Saudi Arabia (A.S.A.); Department of Radiology, Duke University Medical Center, Durham, NC (B.C.A.); Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, Zurich, Switzerland (C.S.R.); Department of Radiology, Nottingham University Hospitals NHS Trust, Nottingham, United Kingdom (C.C.); Centre de Recherche du Centre Hospitalier de l'Université de Montréal, Montréal, Québec, Canada (M.C.); Department of Radiology, The Third Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China (J.W.); Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea (S.H.C.); Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Mo (T.J.F., D.R.L.); Department of Radiology, Seoul National University College of Medicine, Jongno-gu, Seoul, South Korea (I.J.); Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Hubei, Wuhan, China (Z.K.); Weill Cornell Medical Center, New York, NY (A.S.K.); Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Songpa-gu, Seoul, South Korea (S.Y.K.); Department of Radiology, Dong-A University Hospital, Dong-A University College of Medicine, Seo-gu, Busan, South Korea (H.K.); Department of Radiology, Hôpital Beaujon, APHP.Nord, Clichy and Université Paris Cité, CRI UMR 1149, Paris, France (M.R.); Second Radiology Department, Warsaw Medical University, Warsaw, Poland (J.P., G.R.); Department of Radiology, Jeonbuk National University Medical School and Hospital, Deokjin-gu, Jeonju, Jeonbuk, South Korea (J.S.S.); Departments of Radiology and Medicine, Duke University Medical Center, 40 Duke Medicine Cir, Durham, NC, 27710 (M.R.B.); Center for Advanced Magnetic Resonance Development, Duke University Medical Center, Durham, NC (M.R.B.); and Department of Radiology, University of North Carolina, Chapel Hill, NC (M.R.B.)
| | - Maxime Ronot
- From the Department of Radiology, Duke University School of Medicine, Durham, NC (S.M.G.); Department of Radiology, West China Hospital, Sichuan University, Chengdu, China (H.J., B.S.); Juravinski Hospital and Cancer Centre, Hamilton Health Sciences, McMaster University, Hamilton, Ontario, Canada (C.B.v.d.P.); Faculty of Health Sciences, Queen's University, Kingston, Ontario, Canada (J.P.S.); Ottawa Hospital Research Institute, Ottawa, Ontario, Canada (E.L.); Faculty of Medicine at The University of Ottawa, Ottawa, Ontario, Canada (R.G.A.); Departments of Radiology and Epidemiology, University of Ottawa, Ottawa, Ontario, Canada (M.D.F.M.); The Ottawa Hospital Research Institute Clinical Epidemiology Program, Ottawa, Ontario, Canada (M.D.F.M.); Department of Diagnostic Radiology, Queen Elizabeth II Health Sciences Centre and Dalhousie University, Halifax, Nova Scotia, Canada (A.F.C.); Department of Radiology, Centre Hospitalier de l'Université de Montréal, Montréal, Québec, Canada (A.T.); Department of Radiology, College of Medicine, Taibah University, Medina, Saudi Arabia (A.S.A.); Department of Radiology, King Faisal Specialist Hospital and Research Centre, Medina, Saudi Arabia (A.S.A.); Department of Radiology, Duke University Medical Center, Durham, NC (B.C.A.); Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, Zurich, Switzerland (C.S.R.); Department of Radiology, Nottingham University Hospitals NHS Trust, Nottingham, United Kingdom (C.C.); Centre de Recherche du Centre Hospitalier de l'Université de Montréal, Montréal, Québec, Canada (M.C.); Department of Radiology, The Third Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China (J.W.); Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea (S.H.C.); Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Mo (T.J.F., D.R.L.); Department of Radiology, Seoul National University College of Medicine, Jongno-gu, Seoul, South Korea (I.J.); Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Hubei, Wuhan, China (Z.K.); Weill Cornell Medical Center, New York, NY (A.S.K.); Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Songpa-gu, Seoul, South Korea (S.Y.K.); Department of Radiology, Dong-A University Hospital, Dong-A University College of Medicine, Seo-gu, Busan, South Korea (H.K.); Department of Radiology, Hôpital Beaujon, APHP.Nord, Clichy and Université Paris Cité, CRI UMR 1149, Paris, France (M.R.); Second Radiology Department, Warsaw Medical University, Warsaw, Poland (J.P., G.R.); Department of Radiology, Jeonbuk National University Medical School and Hospital, Deokjin-gu, Jeonju, Jeonbuk, South Korea (J.S.S.); Departments of Radiology and Medicine, Duke University Medical Center, 40 Duke Medicine Cir, Durham, NC, 27710 (M.R.B.); Center for Advanced Magnetic Resonance Development, Duke University Medical Center, Durham, NC (M.R.B.); and Department of Radiology, University of North Carolina, Chapel Hill, NC (M.R.B.)
| | - Joanna Podgórska
- From the Department of Radiology, Duke University School of Medicine, Durham, NC (S.M.G.); Department of Radiology, West China Hospital, Sichuan University, Chengdu, China (H.J., B.S.); Juravinski Hospital and Cancer Centre, Hamilton Health Sciences, McMaster University, Hamilton, Ontario, Canada (C.B.v.d.P.); Faculty of Health Sciences, Queen's University, Kingston, Ontario, Canada (J.P.S.); Ottawa Hospital Research Institute, Ottawa, Ontario, Canada (E.L.); Faculty of Medicine at The University of Ottawa, Ottawa, Ontario, Canada (R.G.A.); Departments of Radiology and Epidemiology, University of Ottawa, Ottawa, Ontario, Canada (M.D.F.M.); The Ottawa Hospital Research Institute Clinical Epidemiology Program, Ottawa, Ontario, Canada (M.D.F.M.); Department of Diagnostic Radiology, Queen Elizabeth II Health Sciences Centre and Dalhousie University, Halifax, Nova Scotia, Canada (A.F.C.); Department of Radiology, Centre Hospitalier de l'Université de Montréal, Montréal, Québec, Canada (A.T.); Department of Radiology, College of Medicine, Taibah University, Medina, Saudi Arabia (A.S.A.); Department of Radiology, King Faisal Specialist Hospital and Research Centre, Medina, Saudi Arabia (A.S.A.); Department of Radiology, Duke University Medical Center, Durham, NC (B.C.A.); Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, Zurich, Switzerland (C.S.R.); Department of Radiology, Nottingham University Hospitals NHS Trust, Nottingham, United Kingdom (C.C.); Centre de Recherche du Centre Hospitalier de l'Université de Montréal, Montréal, Québec, Canada (M.C.); Department of Radiology, The Third Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China (J.W.); Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea (S.H.C.); Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Mo (T.J.F., D.R.L.); Department of Radiology, Seoul National University College of Medicine, Jongno-gu, Seoul, South Korea (I.J.); Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Hubei, Wuhan, China (Z.K.); Weill Cornell Medical Center, New York, NY (A.S.K.); Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Songpa-gu, Seoul, South Korea (S.Y.K.); Department of Radiology, Dong-A University Hospital, Dong-A University College of Medicine, Seo-gu, Busan, South Korea (H.K.); Department of Radiology, Hôpital Beaujon, APHP.Nord, Clichy and Université Paris Cité, CRI UMR 1149, Paris, France (M.R.); Second Radiology Department, Warsaw Medical University, Warsaw, Poland (J.P., G.R.); Department of Radiology, Jeonbuk National University Medical School and Hospital, Deokjin-gu, Jeonju, Jeonbuk, South Korea (J.S.S.); Departments of Radiology and Medicine, Duke University Medical Center, 40 Duke Medicine Cir, Durham, NC, 27710 (M.R.B.); Center for Advanced Magnetic Resonance Development, Duke University Medical Center, Durham, NC (M.R.B.); and Department of Radiology, University of North Carolina, Chapel Hill, NC (M.R.B.)
| | - Grzegorz Rosiak
- From the Department of Radiology, Duke University School of Medicine, Durham, NC (S.M.G.); Department of Radiology, West China Hospital, Sichuan University, Chengdu, China (H.J., B.S.); Juravinski Hospital and Cancer Centre, Hamilton Health Sciences, McMaster University, Hamilton, Ontario, Canada (C.B.v.d.P.); Faculty of Health Sciences, Queen's University, Kingston, Ontario, Canada (J.P.S.); Ottawa Hospital Research Institute, Ottawa, Ontario, Canada (E.L.); Faculty of Medicine at The University of Ottawa, Ottawa, Ontario, Canada (R.G.A.); Departments of Radiology and Epidemiology, University of Ottawa, Ottawa, Ontario, Canada (M.D.F.M.); The Ottawa Hospital Research Institute Clinical Epidemiology Program, Ottawa, Ontario, Canada (M.D.F.M.); Department of Diagnostic Radiology, Queen Elizabeth II Health Sciences Centre and Dalhousie University, Halifax, Nova Scotia, Canada (A.F.C.); Department of Radiology, Centre Hospitalier de l'Université de Montréal, Montréal, Québec, Canada (A.T.); Department of Radiology, College of Medicine, Taibah University, Medina, Saudi Arabia (A.S.A.); Department of Radiology, King Faisal Specialist Hospital and Research Centre, Medina, Saudi Arabia (A.S.A.); Department of Radiology, Duke University Medical Center, Durham, NC (B.C.A.); Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, Zurich, Switzerland (C.S.R.); Department of Radiology, Nottingham University Hospitals NHS Trust, Nottingham, United Kingdom (C.C.); Centre de Recherche du Centre Hospitalier de l'Université de Montréal, Montréal, Québec, Canada (M.C.); Department of Radiology, The Third Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China (J.W.); Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea (S.H.C.); Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Mo (T.J.F., D.R.L.); Department of Radiology, Seoul National University College of Medicine, Jongno-gu, Seoul, South Korea (I.J.); Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Hubei, Wuhan, China (Z.K.); Weill Cornell Medical Center, New York, NY (A.S.K.); Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Songpa-gu, Seoul, South Korea (S.Y.K.); Department of Radiology, Dong-A University Hospital, Dong-A University College of Medicine, Seo-gu, Busan, South Korea (H.K.); Department of Radiology, Hôpital Beaujon, APHP.Nord, Clichy and Université Paris Cité, CRI UMR 1149, Paris, France (M.R.); Second Radiology Department, Warsaw Medical University, Warsaw, Poland (J.P., G.R.); Department of Radiology, Jeonbuk National University Medical School and Hospital, Deokjin-gu, Jeonju, Jeonbuk, South Korea (J.S.S.); Departments of Radiology and Medicine, Duke University Medical Center, 40 Duke Medicine Cir, Durham, NC, 27710 (M.R.B.); Center for Advanced Magnetic Resonance Development, Duke University Medical Center, Durham, NC (M.R.B.); and Department of Radiology, University of North Carolina, Chapel Hill, NC (M.R.B.)
| | - Ji Soo Song
- From the Department of Radiology, Duke University School of Medicine, Durham, NC (S.M.G.); Department of Radiology, West China Hospital, Sichuan University, Chengdu, China (H.J., B.S.); Juravinski Hospital and Cancer Centre, Hamilton Health Sciences, McMaster University, Hamilton, Ontario, Canada (C.B.v.d.P.); Faculty of Health Sciences, Queen's University, Kingston, Ontario, Canada (J.P.S.); Ottawa Hospital Research Institute, Ottawa, Ontario, Canada (E.L.); Faculty of Medicine at The University of Ottawa, Ottawa, Ontario, Canada (R.G.A.); Departments of Radiology and Epidemiology, University of Ottawa, Ottawa, Ontario, Canada (M.D.F.M.); The Ottawa Hospital Research Institute Clinical Epidemiology Program, Ottawa, Ontario, Canada (M.D.F.M.); Department of Diagnostic Radiology, Queen Elizabeth II Health Sciences Centre and Dalhousie University, Halifax, Nova Scotia, Canada (A.F.C.); Department of Radiology, Centre Hospitalier de l'Université de Montréal, Montréal, Québec, Canada (A.T.); Department of Radiology, College of Medicine, Taibah University, Medina, Saudi Arabia (A.S.A.); Department of Radiology, King Faisal Specialist Hospital and Research Centre, Medina, Saudi Arabia (A.S.A.); Department of Radiology, Duke University Medical Center, Durham, NC (B.C.A.); Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, Zurich, Switzerland (C.S.R.); Department of Radiology, Nottingham University Hospitals NHS Trust, Nottingham, United Kingdom (C.C.); Centre de Recherche du Centre Hospitalier de l'Université de Montréal, Montréal, Québec, Canada (M.C.); Department of Radiology, The Third Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China (J.W.); Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea (S.H.C.); Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Mo (T.J.F., D.R.L.); Department of Radiology, Seoul National University College of Medicine, Jongno-gu, Seoul, South Korea (I.J.); Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Hubei, Wuhan, China (Z.K.); Weill Cornell Medical Center, New York, NY (A.S.K.); Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Songpa-gu, Seoul, South Korea (S.Y.K.); Department of Radiology, Dong-A University Hospital, Dong-A University College of Medicine, Seo-gu, Busan, South Korea (H.K.); Department of Radiology, Hôpital Beaujon, APHP.Nord, Clichy and Université Paris Cité, CRI UMR 1149, Paris, France (M.R.); Second Radiology Department, Warsaw Medical University, Warsaw, Poland (J.P., G.R.); Department of Radiology, Jeonbuk National University Medical School and Hospital, Deokjin-gu, Jeonju, Jeonbuk, South Korea (J.S.S.); Departments of Radiology and Medicine, Duke University Medical Center, 40 Duke Medicine Cir, Durham, NC, 27710 (M.R.B.); Center for Advanced Magnetic Resonance Development, Duke University Medical Center, Durham, NC (M.R.B.); and Department of Radiology, University of North Carolina, Chapel Hill, NC (M.R.B.)
| | - Mustafa R Bashir
- From the Department of Radiology, Duke University School of Medicine, Durham, NC (S.M.G.); Department of Radiology, West China Hospital, Sichuan University, Chengdu, China (H.J., B.S.); Juravinski Hospital and Cancer Centre, Hamilton Health Sciences, McMaster University, Hamilton, Ontario, Canada (C.B.v.d.P.); Faculty of Health Sciences, Queen's University, Kingston, Ontario, Canada (J.P.S.); Ottawa Hospital Research Institute, Ottawa, Ontario, Canada (E.L.); Faculty of Medicine at The University of Ottawa, Ottawa, Ontario, Canada (R.G.A.); Departments of Radiology and Epidemiology, University of Ottawa, Ottawa, Ontario, Canada (M.D.F.M.); The Ottawa Hospital Research Institute Clinical Epidemiology Program, Ottawa, Ontario, Canada (M.D.F.M.); Department of Diagnostic Radiology, Queen Elizabeth II Health Sciences Centre and Dalhousie University, Halifax, Nova Scotia, Canada (A.F.C.); Department of Radiology, Centre Hospitalier de l'Université de Montréal, Montréal, Québec, Canada (A.T.); Department of Radiology, College of Medicine, Taibah University, Medina, Saudi Arabia (A.S.A.); Department of Radiology, King Faisal Specialist Hospital and Research Centre, Medina, Saudi Arabia (A.S.A.); Department of Radiology, Duke University Medical Center, Durham, NC (B.C.A.); Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, Zurich, Switzerland (C.S.R.); Department of Radiology, Nottingham University Hospitals NHS Trust, Nottingham, United Kingdom (C.C.); Centre de Recherche du Centre Hospitalier de l'Université de Montréal, Montréal, Québec, Canada (M.C.); Department of Radiology, The Third Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China (J.W.); Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea (S.H.C.); Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Mo (T.J.F., D.R.L.); Department of Radiology, Seoul National University College of Medicine, Jongno-gu, Seoul, South Korea (I.J.); Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Hubei, Wuhan, China (Z.K.); Weill Cornell Medical Center, New York, NY (A.S.K.); Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Songpa-gu, Seoul, South Korea (S.Y.K.); Department of Radiology, Dong-A University Hospital, Dong-A University College of Medicine, Seo-gu, Busan, South Korea (H.K.); Department of Radiology, Hôpital Beaujon, APHP.Nord, Clichy and Université Paris Cité, CRI UMR 1149, Paris, France (M.R.); Second Radiology Department, Warsaw Medical University, Warsaw, Poland (J.P., G.R.); Department of Radiology, Jeonbuk National University Medical School and Hospital, Deokjin-gu, Jeonju, Jeonbuk, South Korea (J.S.S.); Departments of Radiology and Medicine, Duke University Medical Center, 40 Duke Medicine Cir, Durham, NC, 27710 (M.R.B.); Center for Advanced Magnetic Resonance Development, Duke University Medical Center, Durham, NC (M.R.B.); and Department of Radiology, University of North Carolina, Chapel Hill, NC (M.R.B.)
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Padroni L, De Marco L, Fiano V, Milani L, Marmiroli G, Giraudo MT, Macciotta A, Ricceri F, Sacerdote C. Identifying MicroRNAs Suitable for Detection of Breast Cancer: A Systematic Review of Discovery Phases Studies on MicroRNA Expression Profiles. Int J Mol Sci 2023; 24:15114. [PMID: 37894794 PMCID: PMC10607026 DOI: 10.3390/ijms242015114] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2023] [Revised: 10/09/2023] [Accepted: 10/10/2023] [Indexed: 10/29/2023] Open
Abstract
The analysis of circulating tumor cells and tumor-derived materials, such as circulating tumor DNA, circulating miRNAs (cfmiRNAs), and extracellular vehicles provides crucial information in cancer research. CfmiRNAs, a group of short noncoding regulatory RNAs, have gained attention as diagnostic and prognostic biomarkers. This review focuses on the discovery phases of cfmiRNA studies in breast cancer patients, aiming to identify altered cfmiRNA levels compared to healthy controls. A systematic literature search was conducted, resulting in 16 eligible publications. The studies included a total of 585 breast cancer cases and 496 healthy controls, with diverse sample types and different cfmiRNA assay panels. Several cfmiRNAs, including MIR16, MIR191, MIR484, MIR106a, and MIR193b, showed differential expressions between breast cancer cases and healthy controls. However, the studies had a high risk of bias and lacked standardized protocols. The findings highlight the need for robust study designs, standardized procedures, and larger sample sizes in discovery phase studies. Furthermore, the identified cfmiRNAs can serve as potential candidates for further validation studies in different populations. Improving the design and implementation of cfmiRNA research in liquid biopsies may enhance their clinical diagnostic utility in breast cancer patients.
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Affiliation(s)
- Lisa Padroni
- Unit of Cancer Epidemiology, Città Della Salute e Della Scienza University-Hospital and Center for Cancer Prevention (CPO), Via Santena 7, 10126 Turin, Italy; (L.P.); (L.D.M.); (G.M.)
| | - Laura De Marco
- Unit of Cancer Epidemiology, Città Della Salute e Della Scienza University-Hospital and Center for Cancer Prevention (CPO), Via Santena 7, 10126 Turin, Italy; (L.P.); (L.D.M.); (G.M.)
| | - Valentina Fiano
- Unit of Cancer Epidemiology, Department of Medical Sciences, University of Turin, 10126 Turin, Italy;
| | - Lorenzo Milani
- Centre for Biostatistics, Epidemiology and Public Health (C-BEPH), Department of Clinical and Biological Sciences, University of Turin, 10043 Orbassano, Italy; (L.M.); (M.T.G.); (A.M.); (F.R.)
| | - Giorgia Marmiroli
- Unit of Cancer Epidemiology, Città Della Salute e Della Scienza University-Hospital and Center for Cancer Prevention (CPO), Via Santena 7, 10126 Turin, Italy; (L.P.); (L.D.M.); (G.M.)
| | - Maria Teresa Giraudo
- Centre for Biostatistics, Epidemiology and Public Health (C-BEPH), Department of Clinical and Biological Sciences, University of Turin, 10043 Orbassano, Italy; (L.M.); (M.T.G.); (A.M.); (F.R.)
| | - Alessandra Macciotta
- Centre for Biostatistics, Epidemiology and Public Health (C-BEPH), Department of Clinical and Biological Sciences, University of Turin, 10043 Orbassano, Italy; (L.M.); (M.T.G.); (A.M.); (F.R.)
| | - Fulvio Ricceri
- Centre for Biostatistics, Epidemiology and Public Health (C-BEPH), Department of Clinical and Biological Sciences, University of Turin, 10043 Orbassano, Italy; (L.M.); (M.T.G.); (A.M.); (F.R.)
| | - Carlotta Sacerdote
- Unit of Cancer Epidemiology, Città Della Salute e Della Scienza University-Hospital and Center for Cancer Prevention (CPO), Via Santena 7, 10126 Turin, Italy; (L.P.); (L.D.M.); (G.M.)
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24
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Jajodia A, Wang A, Alabousi M, Wilks C, Kulkarni A, van der Pol CB. MRI vs. CT for pancreatic adenocarcinoma vascular invasion: comparative diagnostic test accuracy systematic review and meta-analysis. Eur Radiol 2023; 33:6883-6891. [PMID: 37083741 DOI: 10.1007/s00330-023-09659-0] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2022] [Revised: 01/26/2023] [Accepted: 02/22/2023] [Indexed: 04/22/2023]
Abstract
OBJECTIVES To perform a systematic review comparing the diagnostic accuracy of MRI vs. CT for assessing pancreatic ductal adenocarcinoma (PDAC) vascular invasion. METHODS MEDLINE, EMBASE, Cochrane Central, and Scopus were searched until December 2021 for diagnostic accuracy studies comparing MRI vs. CT to evaluate vascular invasion of pathologically confirmed PDAC in the same patients. Findings on resection or exploratory laparotomy were the preferred reference standard. Data extraction, risk of bias, and applicability assessment were performed by two authors using the Quality Assessment of Diagnostic Accuracy Studies-Comparative Tool. Bivariate random-effects meta-analysis and meta-regression were performed with 95% confidence intervals (95% CI). RESULTS Three studies were included assessing 474 vessels without vascular invasion and 65 with vascular invasion in 107 patients. All patients were imaged using MRI at ≥ 1.5 T and a pancreatic protocol CT. No difference was shown between MRI and CT for diagnosing PDAC vascular invasion: MRI/CT sensitivity (95% CI) were 71% (47-87%)/74% (56-86%), and specificity were 97% (94-99%)/97% (94-98%). Sources of bias included selection bias from only a subset of CT patients undergoing MRI and verification bias from patients with unresectable disease not confirmed on surgery. No patients received neoadjuvant therapy prior to staging. CONCLUSIONS Based on limited data, no difference was observed between MRI and pancreatic protocol CT for PDAC vascular invasion assessment. MRI may be an adequate substitute for pancreatic protocol CT in some patients, particularly those who have already had a single-phase CT. Larger and more recent cohort studies at low risk of bias, including patients who have received neoadjuvant therapy, are needed. CLINICAL RELEVANCE STATEMENT Abdominal MRI performed similarly to pancreatic protocol CT at assessing pancreatic ductal adenocarcinoma vascular invasion, suggesting local staging is adequate in some patients using MRI. More data are needed using larger, more recent cohorts including patients with neoadjuvant treatment. KEY POINTS • Based on limited data, no difference was found between MRI and pancreatic protocol CT sensitivity and specificity for diagnosing PDAC vascular invasion (p = 0.81, 0.73 respectively). • Risk of bias could be reduced in future PDAC MRI vs CT comparative diagnostic test accuracy research by ensuring all enrolled patients undergo both imaging modalities being compared in random order and regardless of the findings on either modality. • More studies are needed that directly compare the diagnostic performance of MRI and CT for PDAC staging after neoadjuvant therapy.
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Affiliation(s)
- Ankush Jajodia
- Department of Radiology, McMaster University, Hamilton Health Sciences, Hamilton, Canada
| | - Ashley Wang
- Michael G. DeGroote School of Medicine, McMaster University, Hamilton, Canada
| | - Mostafa Alabousi
- Joint Department of Medical Imaging, University of Toronto, University Health Network, Toronto, Canada
| | - Christopher Wilks
- Department of Radiology, McMaster University, Hamilton Health Sciences, Hamilton, Canada
| | - Ameya Kulkarni
- Department of Radiology, McMaster University, Hamilton Health Sciences, Hamilton, Canada
- Department of Diagnostic Imaging, Juravinski Hospital and Cancer Centre, Hamilton Health Sciences, 711 Concession Street, Hamilton, ON, L8V 1C3, Canada
| | - Christian B van der Pol
- Department of Radiology, McMaster University, Hamilton Health Sciences, Hamilton, Canada.
- Department of Diagnostic Imaging, Juravinski Hospital and Cancer Centre, Hamilton Health Sciences, 711 Concession Street, Hamilton, ON, L8V 1C3, Canada.
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Lai DKH, Cheng ESW, Mao YJ, Zheng Y, Yao KY, Ni M, Zhang YQ, Wong DWC, Cheung JCW. Sonoelastography for Testicular Tumor Identification: A Systematic Review and Meta-Analysis of Diagnostic Test Accuracy. Cancers (Basel) 2023; 15:3770. [PMID: 37568585 PMCID: PMC10417060 DOI: 10.3390/cancers15153770] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2023] [Revised: 07/18/2023] [Accepted: 07/21/2023] [Indexed: 08/13/2023] Open
Abstract
The objective of this review was to summarize the applications of sonoelastography in testicular tumor identification and inquire about their test performances. Two authors independently searched English journal articles and full conference papers from CINAHL, Embase, IEEE Xplore®, PubMed, Scopus, and Web of Science from inception and organized them into a PIRO (patient, index test, reference test, outcome) framework. Eleven studies (n = 11) were eligible for data synthesis, nine of which (n = 9) utilized strain elastography and two (n = 2) employed shear-wave elastography. Meta-analyses were performed on the distinction between neoplasm (tumor) and non-neoplasm (non-tumor) from four study arms and between malignancy and benignity from seven study arms. The pooled sensitivity of classifying malignancy and benignity was 86.0% (95%CI, 79.7% to 90.6%). There was substantial heterogeneity in the classification of neoplasm and non-neoplasm and in the specificity of classifying malignancy and benignity, which could not be addressed by the subgroup analysis of sonoelastography techniques. Heterogeneity might be associated with the high risk of bias and applicability concern, including a wide spectrum of testicular pathologies and verification bias in the reference tests. Key technical obstacles in the index test were manual compression in strain elastography, qualitative observation of non-standardized color codes, and locating the Regions of Interest (ROI), in addition to decisions in feature extractions. Future research may focus on multiparametric sonoelastography using deep learning models and ensemble learning. A decision model on the benefits-risks of surgical exploration (reference test) could also be developed to direct the test-and-treat strategy for testicular tumors.
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Affiliation(s)
- Derek Ka-Hei Lai
- Department of Biomedical Engineering, Faculty of Engineering, The Hong Kong Polytechnic University, Hong Kong, China
| | - Ethan Shiu-Wang Cheng
- Department of Electronic and Information Engineering, Faculty of Engineering, The Hong Kong Polytechnic University, Hong Kong, China
| | - Ye-Jiao Mao
- Department of Biomedical Engineering, Faculty of Engineering, The Hong Kong Polytechnic University, Hong Kong, China
| | - Yi Zheng
- Department of Biomedical Engineering, Faculty of Engineering, The Hong Kong Polytechnic University, Hong Kong, China
| | - Ke-Yu Yao
- Department of Materials, Imperial College, London SW7 2AZ, UK
| | - Ming Ni
- Department of Orthopaedics, Ruijin Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200240, China
- Laboratory of Prevention and Treatment of Bone and Joint Diseases, Shanghai Institute of Traumatology and Orthopaedics, Ruijin Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Ying-Qi Zhang
- Department of Orthopaedics, Tongji Hospital, School of Medicine, Tongji University, Shanghai 200065, China
| | - Duo Wai-Chi Wong
- Department of Biomedical Engineering, Faculty of Engineering, The Hong Kong Polytechnic University, Hong Kong, China
| | - James Chung-Wai Cheung
- Department of Biomedical Engineering, Faculty of Engineering, The Hong Kong Polytechnic University, Hong Kong, China
- Research Institute of Smart Ageing, The Hong Kong Polytechnic University, Hong Kong, China
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Lai DKH, Cheng ESW, Lim HJ, So BPH, Lam WK, Cheung DSK, Wong DWC, Cheung JCW. Computer-aided screening of aspiration risks in dysphagia with wearable technology: a Systematic Review and meta-analysis on test accuracy. Front Bioeng Biotechnol 2023; 11:1205009. [PMID: 37441197 PMCID: PMC10334490 DOI: 10.3389/fbioe.2023.1205009] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2023] [Accepted: 06/20/2023] [Indexed: 07/15/2023] Open
Abstract
Aspiration caused by dysphagia is a prevalent problem that causes serious health consequences and even death. Traditional diagnostic instruments could induce pain, discomfort, nausea, and radiation exposure. The emergence of wearable technology with computer-aided screening might facilitate continuous or frequent assessments to prompt early and effective management. The objectives of this review are to summarize these systems to identify aspiration risks in dysphagic individuals and inquire about their accuracy. Two authors independently searched electronic databases, including CINAHL, Embase, IEEE Xplore® Digital Library, PubMed, Scopus, and Web of Science (PROSPERO reference number: CRD42023408960). The risk of bias and applicability were assessed using QUADAS-2. Nine (n = 9) articles applied accelerometers and/or acoustic devices to identify aspiration risks in patients with neurodegenerative problems (e.g., dementia, Alzheimer's disease), neurogenic problems (e.g., stroke, brain injury), in addition to some children with congenital abnormalities, using videofluoroscopic swallowing study (VFSS) or fiberoptic endoscopic evaluation of swallowing (FEES) as the reference standard. All studies employed a traditional machine learning approach with a feature extraction process. Support vector machine (SVM) was the most famous machine learning model used. A meta-analysis was conducted to evaluate the classification accuracy and identify risky swallows. Nevertheless, we decided not to conclude the meta-analysis findings (pooled diagnostic odds ratio: 21.5, 95% CI, 2.7-173.6) because studies had unique methodological characteristics and major differences in the set of parameters/thresholds, in addition to the substantial heterogeneity and variations, with sensitivity levels ranging from 21.7% to 90.0% between studies. Small sample sizes could be a critical problem in existing studies (median = 34.5, range 18-449), especially for machine learning models. Only two out of the nine studies had an optimized model with sensitivity over 90%. There is a need to enlarge the sample size for better generalizability and optimize signal processing, segmentation, feature extraction, classifiers, and their combinations to improve the assessment performance. Systematic Review Registration: (https://www.crd.york.ac.uk/prospero/), identifier (CRD42023408960).
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Affiliation(s)
- Derek Ka-Hei Lai
- Department of Biomedical Engineering, Faculty of Engineering, The Hong Kong Polytechnic University, Hong Kong, China
| | - Ethan Shiu-Wang Cheng
- Department of Electronic and Information Engineering, Faculty of Engineering, The Hong Kong Polytechnic University, Hong Kong, China
| | - Hyo-Jung Lim
- Department of Biomedical Engineering, Faculty of Engineering, The Hong Kong Polytechnic University, Hong Kong, China
| | - Bryan Pak-Hei So
- Department of Biomedical Engineering, Faculty of Engineering, The Hong Kong Polytechnic University, Hong Kong, China
| | - Wing-Kai Lam
- Sports Information and External Affairs Centre, Hong Kong Sports Institute Ltd, Hong Kong, China
| | - Daphne Sze Ki Cheung
- School of Nursing, The Hong Kong Polytechnic University, Hong Kong, China
- Research Institute of Smart Ageing, The Hong Kong Polytechnic University, Hong Kong, China
| | - Duo Wai-Chi Wong
- Department of Biomedical Engineering, Faculty of Engineering, The Hong Kong Polytechnic University, Hong Kong, China
| | - James Chung-Wai Cheung
- Department of Biomedical Engineering, Faculty of Engineering, The Hong Kong Polytechnic University, Hong Kong, China
- Research Institute of Smart Ageing, The Hong Kong Polytechnic University, Hong Kong, China
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Wang Z, Li Z, Li K, Mu S, Zhou X, Di Y. Performance of artificial intelligence in diabetic retinopathy screening: a systematic review and meta-analysis of prospective studies. Front Endocrinol (Lausanne) 2023; 14:1197783. [PMID: 37383397 PMCID: PMC10296189 DOI: 10.3389/fendo.2023.1197783] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/31/2023] [Accepted: 05/23/2023] [Indexed: 06/30/2023] Open
Abstract
Aims To systematically evaluate the diagnostic value of an artificial intelligence (AI) algorithm model for various types of diabetic retinopathy (DR) in prospective studies over the previous five years, and to explore the factors affecting its diagnostic effectiveness. Materials and methods A search was conducted in Cochrane Library, Embase, Web of Science, PubMed, and IEEE databases to collect prospective studies on AI models for the diagnosis of DR from January 2017 to December 2022. We used QUADAS-2 to evaluate the risk of bias in the included studies. Meta-analysis was performed using MetaDiSc and STATA 14.0 software to calculate the combined sensitivity, specificity, positive likelihood ratio, and negative likelihood ratio of various types of DR. Diagnostic odds ratios, summary receiver operating characteristic (SROC) plots, coupled forest plots, and subgroup analysis were performed according to the DR categories, patient source, region of study, and quality of literature, image, and algorithm. Results Finally, 21 studies were included. Meta-analysis showed that the pooled sensitivity, specificity, pooled positive likelihood ratio, pooled negative likelihood ratio, area under the curve, Cochrane Q index, and pooled diagnostic odds ratio of AI model for the diagnosis of DR were 0.880 (0.875-0.884), 0.912 (0.99-0.913), 13.021 (10.738-15.789), 0.083 (0.061-0.112), 0.9798, 0.9388, and 206.80 (124.82-342.63), respectively. The DR categories, patient source, region of study, sample size, quality of literature, image, and algorithm may affect the diagnostic efficiency of AI for DR. Conclusion AI model has a clear diagnostic value for DR, but it is influenced by many factors that deserve further study. Systematic review registration https://www.crd.york.ac.uk/prospero/, identifier CRD42023389687.
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Frank RA, Salameh JP, Islam N, Yang B, Murad MH, Mustafa R, Leeflang M, Bossuyt PM, Takwoingi Y, Whiting P, Dawit H, Kang SK, Ebrahimzadeh S, Levis B, Hutton B, McInnes MDF. How to Critically Appraise and Interpret Systematic Reviews and Meta-Analyses of Diagnostic Accuracy: A User Guide. Radiology 2023; 307:e221437. [PMID: 36916896 PMCID: PMC10140638 DOI: 10.1148/radiol.221437] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2022] [Revised: 10/25/2022] [Accepted: 10/28/2022] [Indexed: 03/16/2023]
Abstract
Systematic reviews of diagnostic accuracy studies can provide the best available evidence to inform decisions regarding the use of a diagnostic test. In this guide, the authors provide a practical approach for clinicians to appraise diagnostic accuracy systematic reviews and apply their results to patient care. The first step is to identify an appropriate systematic review with a research question matching the clinical scenario. The user should evaluate the rigor of the review methods to evaluate its credibility (Did the review use clearly defined eligibility criteria, a comprehensive search strategy, structured data collection, risk of bias and applicability appraisal, and appropriate meta-analysis methods?). If the review is credible, the next step is to decide whether the diagnostic performance is adequate for clinical use (Do sensitivity and specificity estimates exceed the threshold that makes them useful in clinical practice? Are these estimates sufficiently precise? Is variability in the estimates of diagnostic accuracy across studies explained?). Diagnostic accuracy systematic reviews that are judged to be credible and provide diagnostic accuracy estimates with sufficient certainty and relevance are the most useful to inform patient care. This review discusses comparative, noncomparative, and emerging approaches to systematic reviews of diagnostic accuracy using a clinical scenario and examples based on recent publications.
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Affiliation(s)
| | | | - Nayaar Islam
- From the Department of Radiology, University of Ottawa, The Ottawa
Hospital Civic Campus, 1053 Carling Ave, Room c159, Ottawa, ON, Canada K1Y 4E9
(R.A.F., M.D.F.M.); Faculty of Health Sciences, Queen’s University,
Kingston, Ontario, Canada (J.P.S.); Clinical Epidemiology Program, Ottawa
Hospital Research Institute, University of Ottawa, Ottawa, Canada (N.I., M.H.M.,
H.D., S.E., B.H.); Julius Center for Health Sciences and Primary Care,
University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
(B.Y.); Evidence-Based Practice Center, Mayo Clinic, Rochester, Minn (M.H.M.);
Department of Medicine, Division of Nephrology and Hypertension, University of
Kansas Medical Center, Kansas City, Mo (R.M.); Department of Epidemiology and
Data Science, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands
(M.L., P.M.B.); Amsterdam Public Health, Amsterdam, the Netherlands (P.M.B.);
Institute of Applied Health Research, University of Birmingham, Birmingham, UK
(Y.T.); NIHR Birmingham Biomedical Research Centre, University Hospitals
Birmingham NHS Foundation Trust and University of Birmingham, Birmingham, UK
(Y.T.); Population Health Sciences, Bristol Medical School, University of
Bristol, Bristol, UK (P.W.); Department of Radiology, NYU Langone Health, New
York, NY (S.K.K.); and Centre for Clinical Epidemiology, Lady Davis Institute
for Medical Research, Jewish General Hospital, Montréal, Canada
(B.L.)
| | - Bada Yang
- From the Department of Radiology, University of Ottawa, The Ottawa
Hospital Civic Campus, 1053 Carling Ave, Room c159, Ottawa, ON, Canada K1Y 4E9
(R.A.F., M.D.F.M.); Faculty of Health Sciences, Queen’s University,
Kingston, Ontario, Canada (J.P.S.); Clinical Epidemiology Program, Ottawa
Hospital Research Institute, University of Ottawa, Ottawa, Canada (N.I., M.H.M.,
H.D., S.E., B.H.); Julius Center for Health Sciences and Primary Care,
University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
(B.Y.); Evidence-Based Practice Center, Mayo Clinic, Rochester, Minn (M.H.M.);
Department of Medicine, Division of Nephrology and Hypertension, University of
Kansas Medical Center, Kansas City, Mo (R.M.); Department of Epidemiology and
Data Science, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands
(M.L., P.M.B.); Amsterdam Public Health, Amsterdam, the Netherlands (P.M.B.);
Institute of Applied Health Research, University of Birmingham, Birmingham, UK
(Y.T.); NIHR Birmingham Biomedical Research Centre, University Hospitals
Birmingham NHS Foundation Trust and University of Birmingham, Birmingham, UK
(Y.T.); Population Health Sciences, Bristol Medical School, University of
Bristol, Bristol, UK (P.W.); Department of Radiology, NYU Langone Health, New
York, NY (S.K.K.); and Centre for Clinical Epidemiology, Lady Davis Institute
for Medical Research, Jewish General Hospital, Montréal, Canada
(B.L.)
| | - Mohammad Hassan Murad
- From the Department of Radiology, University of Ottawa, The Ottawa
Hospital Civic Campus, 1053 Carling Ave, Room c159, Ottawa, ON, Canada K1Y 4E9
(R.A.F., M.D.F.M.); Faculty of Health Sciences, Queen’s University,
Kingston, Ontario, Canada (J.P.S.); Clinical Epidemiology Program, Ottawa
Hospital Research Institute, University of Ottawa, Ottawa, Canada (N.I., M.H.M.,
H.D., S.E., B.H.); Julius Center for Health Sciences and Primary Care,
University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
(B.Y.); Evidence-Based Practice Center, Mayo Clinic, Rochester, Minn (M.H.M.);
Department of Medicine, Division of Nephrology and Hypertension, University of
Kansas Medical Center, Kansas City, Mo (R.M.); Department of Epidemiology and
Data Science, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands
(M.L., P.M.B.); Amsterdam Public Health, Amsterdam, the Netherlands (P.M.B.);
Institute of Applied Health Research, University of Birmingham, Birmingham, UK
(Y.T.); NIHR Birmingham Biomedical Research Centre, University Hospitals
Birmingham NHS Foundation Trust and University of Birmingham, Birmingham, UK
(Y.T.); Population Health Sciences, Bristol Medical School, University of
Bristol, Bristol, UK (P.W.); Department of Radiology, NYU Langone Health, New
York, NY (S.K.K.); and Centre for Clinical Epidemiology, Lady Davis Institute
for Medical Research, Jewish General Hospital, Montréal, Canada
(B.L.)
| | - Reem Mustafa
- From the Department of Radiology, University of Ottawa, The Ottawa
Hospital Civic Campus, 1053 Carling Ave, Room c159, Ottawa, ON, Canada K1Y 4E9
(R.A.F., M.D.F.M.); Faculty of Health Sciences, Queen’s University,
Kingston, Ontario, Canada (J.P.S.); Clinical Epidemiology Program, Ottawa
Hospital Research Institute, University of Ottawa, Ottawa, Canada (N.I., M.H.M.,
H.D., S.E., B.H.); Julius Center for Health Sciences and Primary Care,
University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
(B.Y.); Evidence-Based Practice Center, Mayo Clinic, Rochester, Minn (M.H.M.);
Department of Medicine, Division of Nephrology and Hypertension, University of
Kansas Medical Center, Kansas City, Mo (R.M.); Department of Epidemiology and
Data Science, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands
(M.L., P.M.B.); Amsterdam Public Health, Amsterdam, the Netherlands (P.M.B.);
Institute of Applied Health Research, University of Birmingham, Birmingham, UK
(Y.T.); NIHR Birmingham Biomedical Research Centre, University Hospitals
Birmingham NHS Foundation Trust and University of Birmingham, Birmingham, UK
(Y.T.); Population Health Sciences, Bristol Medical School, University of
Bristol, Bristol, UK (P.W.); Department of Radiology, NYU Langone Health, New
York, NY (S.K.K.); and Centre for Clinical Epidemiology, Lady Davis Institute
for Medical Research, Jewish General Hospital, Montréal, Canada
(B.L.)
| | - Mariska Leeflang
- From the Department of Radiology, University of Ottawa, The Ottawa
Hospital Civic Campus, 1053 Carling Ave, Room c159, Ottawa, ON, Canada K1Y 4E9
(R.A.F., M.D.F.M.); Faculty of Health Sciences, Queen’s University,
Kingston, Ontario, Canada (J.P.S.); Clinical Epidemiology Program, Ottawa
Hospital Research Institute, University of Ottawa, Ottawa, Canada (N.I., M.H.M.,
H.D., S.E., B.H.); Julius Center for Health Sciences and Primary Care,
University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
(B.Y.); Evidence-Based Practice Center, Mayo Clinic, Rochester, Minn (M.H.M.);
Department of Medicine, Division of Nephrology and Hypertension, University of
Kansas Medical Center, Kansas City, Mo (R.M.); Department of Epidemiology and
Data Science, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands
(M.L., P.M.B.); Amsterdam Public Health, Amsterdam, the Netherlands (P.M.B.);
Institute of Applied Health Research, University of Birmingham, Birmingham, UK
(Y.T.); NIHR Birmingham Biomedical Research Centre, University Hospitals
Birmingham NHS Foundation Trust and University of Birmingham, Birmingham, UK
(Y.T.); Population Health Sciences, Bristol Medical School, University of
Bristol, Bristol, UK (P.W.); Department of Radiology, NYU Langone Health, New
York, NY (S.K.K.); and Centre for Clinical Epidemiology, Lady Davis Institute
for Medical Research, Jewish General Hospital, Montréal, Canada
(B.L.)
| | - Patrick M. Bossuyt
- From the Department of Radiology, University of Ottawa, The Ottawa
Hospital Civic Campus, 1053 Carling Ave, Room c159, Ottawa, ON, Canada K1Y 4E9
(R.A.F., M.D.F.M.); Faculty of Health Sciences, Queen’s University,
Kingston, Ontario, Canada (J.P.S.); Clinical Epidemiology Program, Ottawa
Hospital Research Institute, University of Ottawa, Ottawa, Canada (N.I., M.H.M.,
H.D., S.E., B.H.); Julius Center for Health Sciences and Primary Care,
University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
(B.Y.); Evidence-Based Practice Center, Mayo Clinic, Rochester, Minn (M.H.M.);
Department of Medicine, Division of Nephrology and Hypertension, University of
Kansas Medical Center, Kansas City, Mo (R.M.); Department of Epidemiology and
Data Science, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands
(M.L., P.M.B.); Amsterdam Public Health, Amsterdam, the Netherlands (P.M.B.);
Institute of Applied Health Research, University of Birmingham, Birmingham, UK
(Y.T.); NIHR Birmingham Biomedical Research Centre, University Hospitals
Birmingham NHS Foundation Trust and University of Birmingham, Birmingham, UK
(Y.T.); Population Health Sciences, Bristol Medical School, University of
Bristol, Bristol, UK (P.W.); Department of Radiology, NYU Langone Health, New
York, NY (S.K.K.); and Centre for Clinical Epidemiology, Lady Davis Institute
for Medical Research, Jewish General Hospital, Montréal, Canada
(B.L.)
| | - Yemisi Takwoingi
- From the Department of Radiology, University of Ottawa, The Ottawa
Hospital Civic Campus, 1053 Carling Ave, Room c159, Ottawa, ON, Canada K1Y 4E9
(R.A.F., M.D.F.M.); Faculty of Health Sciences, Queen’s University,
Kingston, Ontario, Canada (J.P.S.); Clinical Epidemiology Program, Ottawa
Hospital Research Institute, University of Ottawa, Ottawa, Canada (N.I., M.H.M.,
H.D., S.E., B.H.); Julius Center for Health Sciences and Primary Care,
University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
(B.Y.); Evidence-Based Practice Center, Mayo Clinic, Rochester, Minn (M.H.M.);
Department of Medicine, Division of Nephrology and Hypertension, University of
Kansas Medical Center, Kansas City, Mo (R.M.); Department of Epidemiology and
Data Science, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands
(M.L., P.M.B.); Amsterdam Public Health, Amsterdam, the Netherlands (P.M.B.);
Institute of Applied Health Research, University of Birmingham, Birmingham, UK
(Y.T.); NIHR Birmingham Biomedical Research Centre, University Hospitals
Birmingham NHS Foundation Trust and University of Birmingham, Birmingham, UK
(Y.T.); Population Health Sciences, Bristol Medical School, University of
Bristol, Bristol, UK (P.W.); Department of Radiology, NYU Langone Health, New
York, NY (S.K.K.); and Centre for Clinical Epidemiology, Lady Davis Institute
for Medical Research, Jewish General Hospital, Montréal, Canada
(B.L.)
| | - Penny Whiting
- From the Department of Radiology, University of Ottawa, The Ottawa
Hospital Civic Campus, 1053 Carling Ave, Room c159, Ottawa, ON, Canada K1Y 4E9
(R.A.F., M.D.F.M.); Faculty of Health Sciences, Queen’s University,
Kingston, Ontario, Canada (J.P.S.); Clinical Epidemiology Program, Ottawa
Hospital Research Institute, University of Ottawa, Ottawa, Canada (N.I., M.H.M.,
H.D., S.E., B.H.); Julius Center for Health Sciences and Primary Care,
University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
(B.Y.); Evidence-Based Practice Center, Mayo Clinic, Rochester, Minn (M.H.M.);
Department of Medicine, Division of Nephrology and Hypertension, University of
Kansas Medical Center, Kansas City, Mo (R.M.); Department of Epidemiology and
Data Science, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands
(M.L., P.M.B.); Amsterdam Public Health, Amsterdam, the Netherlands (P.M.B.);
Institute of Applied Health Research, University of Birmingham, Birmingham, UK
(Y.T.); NIHR Birmingham Biomedical Research Centre, University Hospitals
Birmingham NHS Foundation Trust and University of Birmingham, Birmingham, UK
(Y.T.); Population Health Sciences, Bristol Medical School, University of
Bristol, Bristol, UK (P.W.); Department of Radiology, NYU Langone Health, New
York, NY (S.K.K.); and Centre for Clinical Epidemiology, Lady Davis Institute
for Medical Research, Jewish General Hospital, Montréal, Canada
(B.L.)
| | - Haben Dawit
- From the Department of Radiology, University of Ottawa, The Ottawa
Hospital Civic Campus, 1053 Carling Ave, Room c159, Ottawa, ON, Canada K1Y 4E9
(R.A.F., M.D.F.M.); Faculty of Health Sciences, Queen’s University,
Kingston, Ontario, Canada (J.P.S.); Clinical Epidemiology Program, Ottawa
Hospital Research Institute, University of Ottawa, Ottawa, Canada (N.I., M.H.M.,
H.D., S.E., B.H.); Julius Center for Health Sciences and Primary Care,
University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
(B.Y.); Evidence-Based Practice Center, Mayo Clinic, Rochester, Minn (M.H.M.);
Department of Medicine, Division of Nephrology and Hypertension, University of
Kansas Medical Center, Kansas City, Mo (R.M.); Department of Epidemiology and
Data Science, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands
(M.L., P.M.B.); Amsterdam Public Health, Amsterdam, the Netherlands (P.M.B.);
Institute of Applied Health Research, University of Birmingham, Birmingham, UK
(Y.T.); NIHR Birmingham Biomedical Research Centre, University Hospitals
Birmingham NHS Foundation Trust and University of Birmingham, Birmingham, UK
(Y.T.); Population Health Sciences, Bristol Medical School, University of
Bristol, Bristol, UK (P.W.); Department of Radiology, NYU Langone Health, New
York, NY (S.K.K.); and Centre for Clinical Epidemiology, Lady Davis Institute
for Medical Research, Jewish General Hospital, Montréal, Canada
(B.L.)
| | - Stella K. Kang
- From the Department of Radiology, University of Ottawa, The Ottawa
Hospital Civic Campus, 1053 Carling Ave, Room c159, Ottawa, ON, Canada K1Y 4E9
(R.A.F., M.D.F.M.); Faculty of Health Sciences, Queen’s University,
Kingston, Ontario, Canada (J.P.S.); Clinical Epidemiology Program, Ottawa
Hospital Research Institute, University of Ottawa, Ottawa, Canada (N.I., M.H.M.,
H.D., S.E., B.H.); Julius Center for Health Sciences and Primary Care,
University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
(B.Y.); Evidence-Based Practice Center, Mayo Clinic, Rochester, Minn (M.H.M.);
Department of Medicine, Division of Nephrology and Hypertension, University of
Kansas Medical Center, Kansas City, Mo (R.M.); Department of Epidemiology and
Data Science, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands
(M.L., P.M.B.); Amsterdam Public Health, Amsterdam, the Netherlands (P.M.B.);
Institute of Applied Health Research, University of Birmingham, Birmingham, UK
(Y.T.); NIHR Birmingham Biomedical Research Centre, University Hospitals
Birmingham NHS Foundation Trust and University of Birmingham, Birmingham, UK
(Y.T.); Population Health Sciences, Bristol Medical School, University of
Bristol, Bristol, UK (P.W.); Department of Radiology, NYU Langone Health, New
York, NY (S.K.K.); and Centre for Clinical Epidemiology, Lady Davis Institute
for Medical Research, Jewish General Hospital, Montréal, Canada
(B.L.)
| | - Sanam Ebrahimzadeh
- From the Department of Radiology, University of Ottawa, The Ottawa
Hospital Civic Campus, 1053 Carling Ave, Room c159, Ottawa, ON, Canada K1Y 4E9
(R.A.F., M.D.F.M.); Faculty of Health Sciences, Queen’s University,
Kingston, Ontario, Canada (J.P.S.); Clinical Epidemiology Program, Ottawa
Hospital Research Institute, University of Ottawa, Ottawa, Canada (N.I., M.H.M.,
H.D., S.E., B.H.); Julius Center for Health Sciences and Primary Care,
University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
(B.Y.); Evidence-Based Practice Center, Mayo Clinic, Rochester, Minn (M.H.M.);
Department of Medicine, Division of Nephrology and Hypertension, University of
Kansas Medical Center, Kansas City, Mo (R.M.); Department of Epidemiology and
Data Science, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands
(M.L., P.M.B.); Amsterdam Public Health, Amsterdam, the Netherlands (P.M.B.);
Institute of Applied Health Research, University of Birmingham, Birmingham, UK
(Y.T.); NIHR Birmingham Biomedical Research Centre, University Hospitals
Birmingham NHS Foundation Trust and University of Birmingham, Birmingham, UK
(Y.T.); Population Health Sciences, Bristol Medical School, University of
Bristol, Bristol, UK (P.W.); Department of Radiology, NYU Langone Health, New
York, NY (S.K.K.); and Centre for Clinical Epidemiology, Lady Davis Institute
for Medical Research, Jewish General Hospital, Montréal, Canada
(B.L.)
| | - Brooke Levis
- From the Department of Radiology, University of Ottawa, The Ottawa
Hospital Civic Campus, 1053 Carling Ave, Room c159, Ottawa, ON, Canada K1Y 4E9
(R.A.F., M.D.F.M.); Faculty of Health Sciences, Queen’s University,
Kingston, Ontario, Canada (J.P.S.); Clinical Epidemiology Program, Ottawa
Hospital Research Institute, University of Ottawa, Ottawa, Canada (N.I., M.H.M.,
H.D., S.E., B.H.); Julius Center for Health Sciences and Primary Care,
University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
(B.Y.); Evidence-Based Practice Center, Mayo Clinic, Rochester, Minn (M.H.M.);
Department of Medicine, Division of Nephrology and Hypertension, University of
Kansas Medical Center, Kansas City, Mo (R.M.); Department of Epidemiology and
Data Science, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands
(M.L., P.M.B.); Amsterdam Public Health, Amsterdam, the Netherlands (P.M.B.);
Institute of Applied Health Research, University of Birmingham, Birmingham, UK
(Y.T.); NIHR Birmingham Biomedical Research Centre, University Hospitals
Birmingham NHS Foundation Trust and University of Birmingham, Birmingham, UK
(Y.T.); Population Health Sciences, Bristol Medical School, University of
Bristol, Bristol, UK (P.W.); Department of Radiology, NYU Langone Health, New
York, NY (S.K.K.); and Centre for Clinical Epidemiology, Lady Davis Institute
for Medical Research, Jewish General Hospital, Montréal, Canada
(B.L.)
| | - Brian Hutton
- From the Department of Radiology, University of Ottawa, The Ottawa
Hospital Civic Campus, 1053 Carling Ave, Room c159, Ottawa, ON, Canada K1Y 4E9
(R.A.F., M.D.F.M.); Faculty of Health Sciences, Queen’s University,
Kingston, Ontario, Canada (J.P.S.); Clinical Epidemiology Program, Ottawa
Hospital Research Institute, University of Ottawa, Ottawa, Canada (N.I., M.H.M.,
H.D., S.E., B.H.); Julius Center for Health Sciences and Primary Care,
University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
(B.Y.); Evidence-Based Practice Center, Mayo Clinic, Rochester, Minn (M.H.M.);
Department of Medicine, Division of Nephrology and Hypertension, University of
Kansas Medical Center, Kansas City, Mo (R.M.); Department of Epidemiology and
Data Science, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands
(M.L., P.M.B.); Amsterdam Public Health, Amsterdam, the Netherlands (P.M.B.);
Institute of Applied Health Research, University of Birmingham, Birmingham, UK
(Y.T.); NIHR Birmingham Biomedical Research Centre, University Hospitals
Birmingham NHS Foundation Trust and University of Birmingham, Birmingham, UK
(Y.T.); Population Health Sciences, Bristol Medical School, University of
Bristol, Bristol, UK (P.W.); Department of Radiology, NYU Langone Health, New
York, NY (S.K.K.); and Centre for Clinical Epidemiology, Lady Davis Institute
for Medical Research, Jewish General Hospital, Montréal, Canada
(B.L.)
| | - Matthew D. F. McInnes
- From the Department of Radiology, University of Ottawa, The Ottawa
Hospital Civic Campus, 1053 Carling Ave, Room c159, Ottawa, ON, Canada K1Y 4E9
(R.A.F., M.D.F.M.); Faculty of Health Sciences, Queen’s University,
Kingston, Ontario, Canada (J.P.S.); Clinical Epidemiology Program, Ottawa
Hospital Research Institute, University of Ottawa, Ottawa, Canada (N.I., M.H.M.,
H.D., S.E., B.H.); Julius Center for Health Sciences and Primary Care,
University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
(B.Y.); Evidence-Based Practice Center, Mayo Clinic, Rochester, Minn (M.H.M.);
Department of Medicine, Division of Nephrology and Hypertension, University of
Kansas Medical Center, Kansas City, Mo (R.M.); Department of Epidemiology and
Data Science, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands
(M.L., P.M.B.); Amsterdam Public Health, Amsterdam, the Netherlands (P.M.B.);
Institute of Applied Health Research, University of Birmingham, Birmingham, UK
(Y.T.); NIHR Birmingham Biomedical Research Centre, University Hospitals
Birmingham NHS Foundation Trust and University of Birmingham, Birmingham, UK
(Y.T.); Population Health Sciences, Bristol Medical School, University of
Bristol, Bristol, UK (P.W.); Department of Radiology, NYU Langone Health, New
York, NY (S.K.K.); and Centre for Clinical Epidemiology, Lady Davis Institute
for Medical Research, Jewish General Hospital, Montréal, Canada
(B.L.)
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Kim DH, Kim SW, Hwang SH. Predictive Value of Risk Factors for Pharyngocutaneous Fistula After Total Laryngectomy. Laryngoscope 2023; 133:742-754. [PMID: 35769042 DOI: 10.1002/lary.30278] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2022] [Revised: 06/02/2022] [Accepted: 06/11/2022] [Indexed: 11/10/2022]
Abstract
OBJECTIVES To assess the predictive value of various risk factors for pharyngocutaneous fistula (PCF) after total laryngectomy. METHODS The characteristics of each study were collected from six databases up to January of 2022. Risk for bias was assessed using the QUADAS-2 tool. RESULTS A total of 58 studies in 9845 patients were included in the analysis. The incidence of PCF was 21.69%, 95% confidence intervals (CI) [0.20; 0.24] in the included studies. Age (OR = 1.33, 95% CI [1.12; 1.58]), postoperative anemia (OR = 2.29, 95% CI [1.47; 3.57]), diabetes mellitus (OR = 1.81, 95% CI [1.20; 2.71]), tumor site (above or below the glottis) (OR = 1.47, 95% CI [1.15; 1.88]), previous radiation therapy (OR = 2.06, 95% CI [1.56; 2.72]), previous tracheostomy (OR = 1.26, 95% CI [1.04; 1.53]), surgery timing (salvage vs. primary) (OR = 2.08, 95% CI [1.46; 2.97]), extended total laryngectomy (including pharyngectomy) (OR = 1.96, 95% CI [1.28; 3.00]), primary tracheoesophageal puncture (OR = 0.61, 95% CI [0.40; 0.93]), and postoperative hypoproteinemia (OR = 9.98, 95% CI [3.68; 27.03]) were significantly associated with the occurrence of PCF. In view of predictive ability, postoperative hypoproteinemia showed the highest accuracy (sensitivity = 51%, specificity = 90%, area under the curve = 0.84). CONCLUSION Multiple patient-, disease-, and surgery-related factors are risk factors for PCF. In particular, postoperative hypoproteinemia could be a good predictive factor for PCF in patients undergoing total laryngectomy. Laryngoscope, 133:742-754, 2023.
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Affiliation(s)
- Do Hyun Kim
- Department of Otolaryngology-Head and Neck Surgery, Seoul Saint Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, South Korea
| | - Sung Won Kim
- Department of Otolaryngology-Head and Neck Surgery, Seoul Saint Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, South Korea
| | - Se Hwan Hwang
- Department of Otolaryngology-Head and Neck Surgery, Bucheon Saint Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, South Korea
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30
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Cao YT, Zhao XX, Yang YT, Zhu SJ, Zheng LD, Ying T, Sha Z, Zhu R, Wu T. Potential of electronic devices for detection of health problems in older adults at home: A systematic review and meta-analysis. Geriatr Nurs 2023; 51:54-64. [PMID: 36893611 DOI: 10.1016/j.gerinurse.2023.02.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2022] [Revised: 02/11/2023] [Accepted: 02/13/2023] [Indexed: 03/09/2023]
Abstract
OBJECTIVE The aim of this review was to evaluate the overall diagnostic performance of e-devices for detection of health problems in older adults at home. METHODS A systematic review was conducted following the PRISMA-DTA guidelines. RESULTS 31 studies were included with 24 studies included in meta-analysis. The included studies were divided into four categories according to the signals detected: physical activity (PA), vital signs (VS), electrocardiography (ECG) and other. The meta-analysis showed the pooled estimates of sensitivity and specificity were 0.94 and 0.98 respectively in the 'VS' group. The pooled sensitivity and specificity were 0.97 and 0.98 respectively in the 'ECG' group. CONCLUSIONS All kinds of e-devices perform well in diagnosing the common health problems. While ECG-based health problems detection system is more reliable than VS-based ones. For sole signal detection system has limitation in diagnosing specific health problems, more researches should focus on developing new systems combined of multiple signals.
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Affiliation(s)
- Yu-Ting Cao
- Shanghai YangZhi Rehabilitation Hospital (Shanghai Sunshine Rehabilitation Center), School of Medicine, Tongji University, Shanghai 200092, China; Key Laboratory of Spine and Spinal Cord Injury Repair and Regeneration of the Ministry of Education, Tongji Hospital, School of Medicine, Tongji University, 389 Xincun Road, 200065 Shanghai, China
| | - Xin-Xin Zhao
- Shanghai YangZhi Rehabilitation Hospital (Shanghai Sunshine Rehabilitation Center), School of Medicine, Tongji University, Shanghai 200092, China
| | - Yi-Ting Yang
- Shanghai YangZhi Rehabilitation Hospital (Shanghai Sunshine Rehabilitation Center), School of Medicine, Tongji University, Shanghai 200092, China; Key Laboratory of Spine and Spinal Cord Injury Repair and Regeneration of the Ministry of Education, Tongji Hospital, School of Medicine, Tongji University, 389 Xincun Road, 200065 Shanghai, China
| | - Shi-Jie Zhu
- Shanghai YangZhi Rehabilitation Hospital (Shanghai Sunshine Rehabilitation Center), School of Medicine, Tongji University, Shanghai 200092, China; Key Laboratory of Spine and Spinal Cord Injury Repair and Regeneration of the Ministry of Education, Tongji Hospital, School of Medicine, Tongji University, 389 Xincun Road, 200065 Shanghai, China
| | - Liang-Dong Zheng
- Shanghai YangZhi Rehabilitation Hospital (Shanghai Sunshine Rehabilitation Center), School of Medicine, Tongji University, Shanghai 200092, China; Key Laboratory of Spine and Spinal Cord Injury Repair and Regeneration of the Ministry of Education, Tongji Hospital, School of Medicine, Tongji University, 389 Xincun Road, 200065 Shanghai, China
| | - Ting Ying
- Shanghai YangZhi Rehabilitation Hospital (Shanghai Sunshine Rehabilitation Center), School of Medicine, Tongji University, Shanghai 200092, China; Key Laboratory of Spine and Spinal Cord Injury Repair and Regeneration of the Ministry of Education, Tongji Hospital, School of Medicine, Tongji University, 389 Xincun Road, 200065 Shanghai, China
| | - Zhou Sha
- Shanghai YangZhi Rehabilitation Hospital (Shanghai Sunshine Rehabilitation Center), School of Medicine, Tongji University, Shanghai 200092, China; Key Laboratory of Spine and Spinal Cord Injury Repair and Regeneration of the Ministry of Education, Tongji Hospital, School of Medicine, Tongji University, 389 Xincun Road, 200065 Shanghai, China
| | - Rui Zhu
- Shanghai YangZhi Rehabilitation Hospital (Shanghai Sunshine Rehabilitation Center), School of Medicine, Tongji University, Shanghai 200092, China; Key Laboratory of Spine and Spinal Cord Injury Repair and Regeneration of the Ministry of Education, Tongji Hospital, School of Medicine, Tongji University, 389 Xincun Road, 200065 Shanghai, China.
| | - Tao Wu
- Shanghai University of Medicine & Health Sciences, 201318 Shanghai, China
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Khalil C, Zarabi S, Kirkham K, Soni V, Li Q, Huszti E, Yadollahi A, Taati B, Englesakis M, Singh M. Validity of non-contact methods for diagnosis of Obstructive Sleep Apnea: a systematic review and meta-analysis. J Clin Anesth 2023; 87:111087. [PMID: 36868010 DOI: 10.1016/j.jclinane.2023.111087] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2022] [Revised: 01/16/2023] [Accepted: 02/20/2023] [Indexed: 03/05/2023]
Abstract
STUDY OBJECTIVE Obstructive Sleep Apnea (OSA) is associated with increased perioperative cardiac, respiratory and neurological complications. Pre-operative OSA risk assessment is currently done through screening questionnaires with high sensitivity but poor specificity. The objective of this study was to evaluate the validity and diagnostic accuracy of portable, non-contact devices in the diagnosis of OSA as compared with polysomnography. DESIGN This study is a systematic review of English observational cohort studies with meta-analysis and risk of bias assessment. SETTING Pre-operative, including in the hospital and clinic setting. PATIENTS Adult patients undergoing sleep apnea assessment using polysomnography and an experimental non-contact tool. INTERVENTIONS A novel non-contact device, which does not utilize any monitor that makes direct contact with the patient's body, in conjunction with polysomnography. MEASUREMENTS Primary outcomes included pooled sensitivity and specificity of the experimental device in the diagnosis of obstructive sleep apnea, in comparison to gold-standard polysomnography. RESULTS Twenty-eight of 4929 screened studies were included in the meta-analysis. A total of 2653 patients were included with the majority being patients referred to a sleep clinic (88.8%). Average age was 49.7(SD±6.1) years, female sex (31%), average body mass index of 29.5(SD±3.2) kg/m2, average apnea-hypopnea index (AHI) of 24.7(SD±5.6) events/h, and pooled OSA prevalence of 72%. Non-contact technology used was mainly video, sound, or bio-motion analysis. Pooled sensitivity and specificity of non-contact methods in moderate to severe OSA diagnosis (AHI > 15) was 0.871 (95% CI 0.841,0.896, I2 0%) and 0.8 (95% CI 0.719,0.862), respectively (AUC 0.902). Risk of bias assessment showed an overall low risk of bias across all domains except for applicability concerns (none were conducted in the perioperative setting). CONCLUSION Available data indicate contactless methods have high pooled sensitivity and specificity for OSA diagnosis with moderate to high level of evidence. Future research is needed to evaluate these tools in the perioperative setting.
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Affiliation(s)
- Carlos Khalil
- University of Toronto, 27 King's College Cir, Toronto, ON M5S 1A1, Canada
| | - Sahar Zarabi
- University of Toronto, 27 King's College Cir, Toronto, ON M5S 1A1, Canada
| | - Kyle Kirkham
- University of Toronto, 27 King's College Cir, Toronto, ON M5S 1A1, Canada; Department of Anesthesiology and Pain Medicine, University Health Network, 200 Elizabeth Street, Toronto, ON M5G 2C4, Canada
| | - Vedish Soni
- McMaster University, 1280 Main Street West, Hamilton, ON, Canada, L8S 4L8
| | - Qixuan Li
- University of Toronto, 27 King's College Cir, Toronto, ON M5S 1A1, Canada; Biostatistics Research Unit, University Health Network; 200 Elizabeth Street, Toronto, ON M5G 2C4, Canada
| | - Ella Huszti
- University of Toronto, 27 King's College Cir, Toronto, ON M5S 1A1, Canada; Biostatistics Research Unit, University Health Network; 200 Elizabeth Street, Toronto, ON M5G 2C4, Canada
| | - Azadeh Yadollahi
- University of Toronto, 27 King's College Cir, Toronto, ON M5S 1A1, Canada; KITE-Toronto Rehabilitation Institute (TRI), University Health Network, 550 University Avenue, Toronto, ON M5G 2A2, Canada
| | - Babak Taati
- University of Toronto, 27 King's College Cir, Toronto, ON M5S 1A1, Canada; KITE-Toronto Rehabilitation Institute (TRI), University Health Network, 550 University Avenue, Toronto, ON M5G 2A2, Canada
| | - Marina Englesakis
- Library and Information Services, University Health Network, 200 Elizabeth St., Toronto, ON M5G 2C4, Canada
| | - Mandeep Singh
- University of Toronto, 27 King's College Cir, Toronto, ON M5S 1A1, Canada; Department of Anesthesiology and Pain Medicine, University Health Network, 200 Elizabeth Street, Toronto, ON M5G 2C4, Canada.
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Padroni L, De Marco L, Dansero L, Fiano V, Milani L, Vasapolli P, Manfredi L, Caini S, Agnoli C, Ricceri F, Sacerdote C. An Epidemiological Systematic Review with Meta-Analysis on Biomarker Role of Circulating MicroRNAs in Breast Cancer Incidence. Int J Mol Sci 2023; 24:3910. [PMID: 36835336 PMCID: PMC9967215 DOI: 10.3390/ijms24043910] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2022] [Revised: 02/06/2023] [Accepted: 02/09/2023] [Indexed: 02/17/2023] Open
Abstract
Breast cancer (BC) is a multifactorial disease caused by an interaction between genetic predisposition and environmental exposures. MicroRNAs are a group of small non-coding RNA molecules, which seem to have a role either as tumor suppressor genes or oncogenes and seem to be related to cancer risk factors. We conducted a systematic review and meta-analysis to identify circulating microRNAs related to BC diagnosis, paying special attention to methodological problems in this research field. A meta-analysis was performed for microRNAs analyzed in at least three independent studies where sufficient data to make analysis were presented. Seventy-five studies were included in the systematic review. A meta-analysis was performed for microRNAs analyzed in at least three independent studies where sufficient data to make analysis were presented. Seven studies were included in the MIR21 and MIR155 meta-analysis, while four studies were included in the MIR10b metanalysis. The pooled sensitivity and specificity of MIR21 for BC diagnosis were 0.86 (95%CI 0.76-0.93) and 0.84 (95%CI 0.71-0.92), 0.83 (95%CI 0.72-0.91) and 0.90 (95%CI 0.69-0.97) for MIR155, and 0.56 (95%CI 0.32-0.71) and 0.95 (95%CI 0.88-0.98) for MIR10b, respectively. Several other microRNAs were found to be dysregulated, distinguishing BC patients from healthy controls. However, there was little consistency between included studies, making it difficult to identify specific microRNAs useful for diagnosis.
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Affiliation(s)
- Lisa Padroni
- Unit of Cancer Epidemiology, Città della Salute e della Scienza University-Hospital and Center for Cancer Prevention (CPO), Via Santena 7, 10126 Turin, Italy
| | - Laura De Marco
- Unit of Cancer Epidemiology, Città della Salute e della Scienza University-Hospital and Center for Cancer Prevention (CPO), Via Santena 7, 10126 Turin, Italy
| | - Lucia Dansero
- Centre for Biostatistics, Epidemiology and Public Health (C-BEPH), Department of Clinical and Biological Sciences, University of Turin, 10043 Orbassano, Italy
| | - Valentina Fiano
- Unit of Cancer Epidemiology, Department of Medical Sciences, University of Turin, 10126 Turin, Italy
| | - Lorenzo Milani
- Unit of Cancer Epidemiology, Città della Salute e della Scienza University-Hospital and Center for Cancer Prevention (CPO), Via Santena 7, 10126 Turin, Italy
| | - Paolo Vasapolli
- Unit of Cancer Epidemiology, Department of Medical Sciences, University of Turin, 10126 Turin, Italy
| | - Luca Manfredi
- Centre for Biostatistics, Epidemiology and Public Health (C-BEPH), Department of Clinical and Biological Sciences, University of Turin, 10043 Orbassano, Italy
| | - Saverio Caini
- Institute for Cancer Research, Prevention and Clinical Network (ISPRO), 50139 Florence, Italy
| | - Claudia Agnoli
- Epidemiology and Prevention Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, 20133 Milan, Italy
| | - Fulvio Ricceri
- Centre for Biostatistics, Epidemiology and Public Health (C-BEPH), Department of Clinical and Biological Sciences, University of Turin, 10043 Orbassano, Italy
- Unit of Epidemiology, Regional Health Service ASL TO3, 10095 Grugliasco, Italy
| | - Carlotta Sacerdote
- Unit of Cancer Epidemiology, Città della Salute e della Scienza University-Hospital and Center for Cancer Prevention (CPO), Via Santena 7, 10126 Turin, Italy
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Kim W, Kim JH, Cha YK, Chong S, Kim TJ. Completeness of Reporting of Systematic Reviews and Meta-Analysis of Diagnostic Test Accuracy (DTA) of Radiological Articles Based on the PRISMA-DTA Reporting Guideline. Acad Radiol 2023; 30:258-275. [PMID: 35491344 DOI: 10.1016/j.acra.2022.03.028] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2022] [Revised: 03/19/2022] [Accepted: 03/29/2022] [Indexed: 01/11/2023]
Abstract
RATIONALE AND OBJECTIVES This study evaluated the completeness of systematic reviews and meta-analyses in radiology using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses for Diagnostic Test Accuracy (PRISMA-DTA) and PRISMA-DTA for Abstracts guidelines between articles published before and those published after the issuance of the guideline and identify areas that have been poorly reported. MATERIALS AND METHODS PubMed were searched for systematic reviews on DTA with or without meta-analyses published in general radiology journals between January 1, 2016 and December 31, 2020. The identified articles were assessed for completeness of reporting according to the PRISMA-DTA. Subgroup analyses were performed for association of completeness of reporting with multiple cofactors. RESULTS The search identified 183 reviews from 12 journals. The mean numbers (standard deviation) of reported PRISMA-DTA and PRISMA-DTA for Abstracts items in the full texts and abstracts were 18.45 (2.02) and 5.66 (1.28), respectively. Subgroup analysis showed that compared to the corresponding reference groups, a higher mean number of reported PRISMA-DTA items was associated with publication during July 2018-December 2020 [(17.82 (2.01) vs 18.89 (1.91); p = 0.034), citation of the PRISMA-DTA [17.62 (1.86) vs 20.27 (2.02); p < 0.001], and inclusion of supplementary materials [17.64 (2) vs 19.09 (1.8); p < 0.001] on multiple-linear regression analysis. CONCLUSION Completeness of reporting with respect to the PRISMA-DTA and PRISMA-DTA for Abstracts has improved modestly since the publication of the PRISMA-DTA guideline; however, increasing awareness of the specific weakness provides the chance for completeness improvement.
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Affiliation(s)
- Wook Kim
- Department of Radiology, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81, Irwon-ro, Gangnam-Gu, Seoul, 06351, South Korea
| | - Jun Ho Kim
- Department of Radiology, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81, Irwon-ro, Gangnam-Gu, Seoul, 06351, South Korea.
| | - Yoon Ki Cha
- Department of Radiology, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81, Irwon-ro, Gangnam-Gu, Seoul, 06351, South Korea
| | - Semin Chong
- Department of Radiology, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81, Irwon-ro, Gangnam-Gu, Seoul, 06351, South Korea
| | - Tae Jung Kim
- Department of Radiology, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81, Irwon-ro, Gangnam-Gu, Seoul, 06351, South Korea
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Carioca FDL, de Souza FM, de Souza TB, Rubio AJ, Brandão MB, Nogueira RJN, de Souza TH. Point-of-care ultrasonography to predict fluid responsiveness in children: A systematic review and meta-analysis. Paediatr Anaesth 2023; 33:24-37. [PMID: 36222022 DOI: 10.1111/pan.14574] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/30/2022] [Revised: 09/29/2022] [Accepted: 10/09/2022] [Indexed: 01/20/2023]
Abstract
BACKGROUND Point-of-care ultrasonography (POCUS) is proposed as a valuable method for hemodynamic monitoring and several ultrasound-based predictors of fluid responsiveness have been studied. The main objective of this study was to assess the accuracy of these predictors in children. METHODS PubMed, Embase, Scopus, ClinicalTrials.gov, and Cochrane Library databases were searched for relevant publications through July 2022. Pediatric studies reporting accuracy estimates of ultrasonographic predictors of fluid responsiveness were included since they had used a standard definition of fluid responsiveness and had performed an adequate fluid challenge. RESULTS Twenty-three studies involving 1028 fluid boluses were included, and 12 predictors were identified. A positive response to fluid infusion was observed in 59.7% of cases. The vast majority of participants were mechanically ventilated (93.4%). The respiratory variation in aortic blood flow peak velocity (∆Vpeak) was the most studied predictor, followed by the respiratory variation in inferior vena cava diameter (∆IVC). The pooled sensitivity and specificity of ∆Vpeak were 0.84 (95% CI, 0.76-0.90) and 0.82 (95% CI, 0.75-0.87), respectively, and the area under the summary receiver operating characteristic curve (AUSROC) was 0.89 (95% CI, 0.86-0.92). The ∆IVC presented a pooled sensitivity and specificity of 0.79 (95% CI, 0.62-0.90) and 0.70 (95% CI, 0.51-0.84), respectively, and an AUSROC of 0.81 (95% CI, 0.78-0.85). Significant heterogeneity in accuracy estimates across studies was observed. CONCLUSIONS POCUS has the potential to accurately predict fluid responsiveness in children. However, only ∆Vpeak was found to be a reliable predictor. There is a lack of evidence supporting the use of POCUS to guide fluid therapy in spontaneously breathing children.
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Affiliation(s)
- Fernando de Lima Carioca
- Department of Pediatrics, Clinics Hospital of the State University of Campinas (UNICAMP), Campinas, Brazil
| | - Fabiana Mendes de Souza
- Pediatric Intensive Care Unit, Department of Pediatrics, Clinics Hospital of the State University of Campinas (UNICAMP), Campinas, Brazil
| | - Thalita Belato de Souza
- Pediatric Intensive Care Unit, Department of Pediatrics, Clinics Hospital of the State University of Campinas (UNICAMP), Campinas, Brazil
| | - Aline Junqueira Rubio
- Pediatric Intensive Care Unit, Department of Pediatrics, Clinics Hospital of the State University of Campinas (UNICAMP), Campinas, Brazil
| | - Marcelo Barciela Brandão
- Pediatric Intensive Care Unit, Department of Pediatrics, Clinics Hospital of the State University of Campinas (UNICAMP), Campinas, Brazil
| | - Roberto José Negrão Nogueira
- Pediatric Intensive Care Unit, Department of Pediatrics, Clinics Hospital of the State University of Campinas (UNICAMP), Campinas, Brazil
| | - Tiago Henrique de Souza
- Pediatric Intensive Care Unit, Department of Pediatrics, Clinics Hospital of the State University of Campinas (UNICAMP), Campinas, Brazil
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Qu C, Luo W, Zeng Z, Lin X, Gong X, Wang X, Zhang Y, Li Y. The predictive effect of different machine learning algorithms for pressure injuries in hospitalized patients: A network meta-analyses. Heliyon 2022; 8:e11361. [DOI: 10.1016/j.heliyon.2022.e11361] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2022] [Revised: 09/21/2022] [Accepted: 10/27/2022] [Indexed: 11/09/2022] Open
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Lim SS, Hui L, Ohn J, Cho Y, Oh CC, Mun JH. Diagnostic accuracy of dermoscopy for onychomycosis: A systematic review. Front Med (Lausanne) 2022; 9:1048913. [PMID: 36388930 PMCID: PMC9659606 DOI: 10.3389/fmed.2022.1048913] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2022] [Accepted: 10/10/2022] [Indexed: 11/25/2022] Open
Abstract
Background Dermoscopy is a non-invasive adjuvant diagnostic tool that allows clinicians to visualize microscopic features of cutaneous disorders. Recent studies have demonstrated that dermoscopy can be used to diagnose onychomycosis. We performed this systematic review to identify the characteristic dermoscopic features of onychomycosis and understand their diagnostic utility. Methods We searched the Medline, Embase, Scopus, and Cochrane databases from conception until May 2021. Studies on the dermoscopic features of onychomycosis were screened. The exclusion criteria were as follows: fewer than 5 cases of onychomycosis, review articles, and studies including onychomycosis cases that were not mycologically verified. Studies on fungal melanonychia were analyzed separately. We adhered to the MOOSE guidelines. Independent data extraction was performed. Data were pooled using a random effects model to account for study heterogeneity. The primary outcome was the diagnostic accuracy of the dermoscopic features of onychomycosis. This was determined by pooling the sensitivity and specificity values of the dermoscopic features identified during the systematic review using the DerSimonian-Laird method. Meta-DiSc version 1.4 and Review Manager 5.4.1 were used to calculate these values. Results We analyzed 19 articles on 1693 cases of onychomycosis and 5 articles on 148 cases of fungal melanonychia. Commonly reported dermoscopic features of onychomycosis were spikes or spiked pattern (509, 30.1%), jagged or spiked edges or jagged edge with spikes (188, 11.1%), jagged proximal edge (175, 10.3%), subungual hyperkeratosis (131, 7.7%), ruins appearance, aspect or pattern (573, 33.8%), and longitudinal striae (929, 54.9%). Commonly reported features of fungal melanonychia included multicolor (101, 68.2%), non-longitudinal homogenous pigmentation (75, 50.7%) and longitudinal white or yellow streaks (52, 31.5%). Conclusion This study highlights the commonly identified dermoscopic features of onychomycosis. Recognizing such characteristic dermoscopic features of onychomycosis can assist clinicians diagnose onychomycosis by the bedside.
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Affiliation(s)
| | - Laura Hui
- Department of Dermatology, Singapore General Hospital, Singapore, Singapore
| | - Jungyoon Ohn
- Department of Dermatology, Seoul National University College of Medicine, Seoul, South Korea
- Institute of Human-Environment Interface Biology, Seoul National University, Seoul, South Korea
| | - Youngjoo Cho
- Department of Applied Statistics, Konkuk University, Seoul, South Korea
| | - Choon Chiat Oh
- Department of Dermatology, Singapore General Hospital, Singapore, Singapore
| | - Je-Ho Mun
- Department of Dermatology, Seoul National University College of Medicine, Seoul, South Korea
- Institute of Human-Environment Interface Biology, Seoul National University, Seoul, South Korea
- *Correspondence: Je-Ho Mun
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Tang H, Xu J, Yuan W, Wang Y, Yue B, Qu X. Reliable Diagnostic Tests and Thresholds for Preoperative Diagnosis of Non-Inflammatory Arthritis Periprosthetic Joint Infection: A Meta-analysis and Systematic Review. Orthop Surg 2022; 14:2822-2836. [PMID: 36181336 PMCID: PMC9627080 DOI: 10.1111/os.13500] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/18/2022] [Revised: 08/19/2022] [Accepted: 08/23/2022] [Indexed: 02/06/2023] Open
Abstract
Objective The current diagnostic criteria for periprosthetic joint infection (PJI) are diverse and controversial, leading to delayed diagnosis. This study aimed to evaluate and unify their diagnostic accuracy and the threshold selection of serum and synovial routine tests for PJI at an early stage. Methods We searched the MEDLINE and Embase databases for retrospective or prospective studies which reported preoperative‐available assays (serum, synovial, or culture tests) for the diagnosis of chronic PJI among inflammatory arthritis (IA) or non‐IA populations from January 1, 2000 to June 30, 2022. Threshold effective analysis was performed on synovial polymorphonuclear neutrophils (PMN%), synovial white blood cell (WBC), serum C‐reactive protein (CRP), and erythrocyte sedimentation rate (ESR) to find the relevant cut‐offs. Results Two hundred and sixteen studies and information from 45,316 individuals were included in the final analysis. Synovial laboratory‐based α‐defensin and calprotectin had the best comprehensive sensitivity (0.91 [0.86–0.94], 0.95 [0.88–0.98]) and specificity (0.96 [0.94‐0.97], 0.95 [0.89–0.98]) values. According to the threshold effect analysis, the recommended cut‐offs are 70% (sensitivity 0.89 [0.85–0.92], specificity 0.90 [0.87–0.93]), 4100/μL (sensitivity 0.90 [0.87–0.93], specificity 0.97 [0.93–0.98]), 13.5 mg/L (sensitivity 0.84 [0.78–0.89], specificity 0.83 [0.73–0.89]), and 30 mm/h (sensitivity 0.79 [0.74–0.83], specificity 0.78 [0.72–0.83]) for synovial PMN%, synovial WBC, serum CRP, and ESR, respectively, and tests seem to be more reliable among non‐IA patients. Conclusions The laboratory‐based synovial α‐defensin and synovial calprotectin are the two best independent preoperative diagnostic tests for PJI. A cut off of 70% for synovial PMN% and tighter cut‐offs for synovial WBC and serum CRP could have a better diagnostic accuracy for non‐IA patients with chronic PJI.
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Affiliation(s)
- Haozheng Tang
- Department of Bone and Joint Surgery, Department of Orthopedics, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jialian Xu
- Department of Bone and Joint Surgery, Department of Orthopedics, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Wei'en Yuan
- Ministry of Education Engineering Research Center of Cell & Therapeutic Antibody, School of Pharmacy, Shanghai Jiao Tong University, Shanghai, China
| | - You Wang
- Department of Bone and Joint Surgery, Department of Orthopedics, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Bing Yue
- Department of Bone and Joint Surgery, Department of Orthopedics, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xinhua Qu
- Department of Bone and Joint Surgery, Department of Orthopedics, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
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Mirshahvalad SA, Chavoshi M, Bahmani Kashkouli M, Fallahi B, Emami-Ardakani A, Manafi-Farid R. Diagnostic value of lacrimal scintigraphy in the evaluation of lacrimal drainage system obstruction: a systematic review and meta-analysis. Nucl Med Commun 2022; 43:860-868. [PMID: 35506272 DOI: 10.1097/mnm.0000000000001578] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
PURPOSE A systematic review and meta-analysis to evaluate the diagnostic performance of lacrimal scintigraphy (LS) versus anatomical methods in the evaluation of the nasolacrimal duct obstruction (NLDO). MATERIALS AND METHODS A systematic search was performed using electronic bibliographic databases until the end of May 2021. Inclusion criteria: (a) used LS as a diagnostic method to evaluate NLDO; (b) used anatomical studies [including syringing, irrigation, probing, and dacryocystography (DCG)] as reference tests; and (c) provided adequate crude data. A hierarchical method was used to pool the sensitivity and specificity. The hierarchical summary receiver-operating characteristic model was performed. Additionally, the studies' heterogeneity and publication bias were analyzed. All analyses were conducted by the 'Midas' module of STATA 16. RESULTS Twelve articles (with 14 separate populations) were considered eligible to enter the meta-analysis. They were divided into two groups based on the reference standard method, called irrigation and DCG groups. In the irrigation group, the pooled sensitivity and specificity were 89% [95% confidence interval (CI), 72-96%] and 25% (95% CI, 8-56%), respectively. In DCG group, the pooled sensitivity and specificity were 97% (95% CI, 85-100%) and 27% (95% CI, 0.12-0.49), in turn. CONCLUSION LS is a sensitive modality to evaluate the anatomical obstruction of NLD. In contrast, it shows low pooled specificity compared with anatomical methods. Thus, LS can be used as the first noninvasive modality for the evaluation of epiphora. However, in case of any abnormality, confirmatory procedures are required.
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Affiliation(s)
- Seyed Ali Mirshahvalad
- Research Center for Nuclear Medicine, Dr. Shariati Hospital, Tehran University of Medical Sciences
| | - Mohammadreza Chavoshi
- Department of Radiology, Dr. Shariati Hospital, Tehran University of Medical Sciences
| | - Mohsen Bahmani Kashkouli
- Skull Base and Eye Research Center, The Five Senses Institute, Iran University of Medical Sciences, Tehran, Iran
| | - Babak Fallahi
- Research Center for Nuclear Medicine, Dr. Shariati Hospital, Tehran University of Medical Sciences
| | - Alireza Emami-Ardakani
- Research Center for Nuclear Medicine, Dr. Shariati Hospital, Tehran University of Medical Sciences
| | - Reyhaneh Manafi-Farid
- Research Center for Nuclear Medicine, Dr. Shariati Hospital, Tehran University of Medical Sciences
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Teh SK, Rawtaer I, Tan HP. Predictive Accuracy of Digital Biomarker Technologies for Detection of Mild Cognitive Impairment and Pre-Frailty Amongst Older Adults: A Systematic Review and Meta-Analysis. IEEE J Biomed Health Inform 2022; 26:3638-3648. [PMID: 35737623 DOI: 10.1109/jbhi.2022.3185798] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
Digital biomarker technologies coupled with predictive models are increasingly applied for early detection of age-related potentially reversible conditions including mild cognitive impairment (MCI) and pre-frailty (PF). We aimed to determine the predictive accuracy of digital biomarker technologies to detect MCI and PF with systematic review and meta-analysis. A computer-assisted search on major academic research databases including IEEE-Xplore was conducted. Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) 2020 guidelines were adopted reporting in this study. Summary receiver operating characteristic curve based on random-effect bivariate model was used to evaluate overall sensitivity and specificity for detection of the respective age-related conditions. A total of 43 studies were selected for final systematic review and meta-analysis. 26 studies reported on detection of MCI with sensitivity and specificity of 0.48-1.00 and 0.55-1.00, respectively. On the other hand, there were 17 studies that reported on the detection of PF with reported sensitivity of 0.53-1.00 and specificity of 0.61-1.00. Meta-analysis further revealed pooled sensitivities of 0.84 (95% CI: 0.79-0.88) and 0.82 (95% CI: 0.74-0.88) for in-home detection of MCI and PF, respectively, while pooled specificities were 0.85 (95% CI: 0.80-0.89) and 0.82 (95% CI: 0.75-0.88), respectively. Besides MCI, and PF, in this work during systematic review, we also found one study which reported a sensitivity of 0.93 and a specificity of 0.57 for detection of cognitive frailty (CF). The meta-analytic result, for the first time, quantifies the predictive efficacy of digital biomarker technologies for detection of MCI and PF. Additionally, we found the number of studies for detection of CF to be notably lower, indicating possible research gaps to explore predictive models on digital biomarker technology for detection of CF.
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Sehovic E, Urru S, Chiorino G, Doebler P. Meta-analysis of diagnostic cell-free circulating microRNAs for breast cancer detection. BMC Cancer 2022; 22:634. [PMID: 35681127 PMCID: PMC9178880 DOI: 10.1186/s12885-022-09698-8] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2022] [Accepted: 05/24/2022] [Indexed: 01/17/2023] Open
Abstract
Background Breast cancer (BC) is the most frequently diagnosed cancer among women. Numerous studies explored cell-free circulating microRNAs as diagnostic biomarkers of BC. As inconsistent and rarely intersecting microRNA panels have been reported thus far, we aim to evaluate the overall diagnostic performance as well as the sources of heterogeneity between studies. Methods Based on the search of three online search engines performed up to March 21st 2022, 56 eligible publications that investigated diagnostic circulating microRNAs by utilizing Real-Time Quantitative Reverse Transcription PCR (qRT-PCR) were obtained. Primary studies’ potential for bias was evaluated with the revised tool for the quality assessment of diagnostic accuracy studies (QUADAS-2). A bivariate generalized linear mixed-effects model was applied to obtain pooled sensitivity and specificity. A novel methodology was utilized in which the sample and study models’ characteristics were analysed to determine the potential preference of studies for sensitivity or specificity. Results Pooled sensitivity and specificity of 0.85 [0.81—0.88] and 0.83 [0.79—0.87] were obtained, respectively. Subgroup analysis showed a significantly better performance of multiple (sensitivity: 0.90 [0.86—0.93]; specificity: 0.86 [0.80—0.90]) vs single (sensitivity: 0.82 [0.77—0.86], specificity: 0.83 [0.78—0.87]) microRNA panels and a comparable pooled diagnostic performance between studies using serum (sensitivity: 0.87 [0.81—0.91]; specificity: 0.83 [0.78—0.87]) and plasma (sensitivity: 0.83 [0.77—0.87]; specificity: 0.85 [0.78—0.91]) as specimen type. In addition, based on bivariate and univariate analyses, miRNA(s) based on endogenous normalizers tend to have a higher diagnostic performance than miRNA(s) based on exogenous ones. Moreover, a slight tendency of studies to prefer specificity over sensitivity was observed. Conclusions In this study the diagnostic ability of circulating microRNAs to diagnose BC was reaffirmed. Nonetheless, some subgroup analyses showed between-study heterogeneity. Finally, lack of standardization and of result reproducibility remain the biggest issues regarding the diagnostic application of circulating cell-free microRNAs. Supplementary Information The online version contains supplementary material available at 10.1186/s12885-022-09698-8.
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Affiliation(s)
- Emir Sehovic
- Cancer Genomics Lab, Fondazione Edo ed Elvo Tempia, 13900, Biella, Italy. .,Department of Life Sciences and Systems Biology, University of Turin, 10100, Turin, Italy.
| | - Sara Urru
- Cancer Genomics Lab, Fondazione Edo ed Elvo Tempia, 13900, Biella, Italy.,Unit of Biostatistics, Epidemiology and Public Health, Department of Cardiac, Thoracic, Vascular Sciences, and Public Health, University of Padova, 35121, Padova, Italy
| | - Giovanna Chiorino
- Cancer Genomics Lab, Fondazione Edo ed Elvo Tempia, 13900, Biella, Italy
| | - Philipp Doebler
- Department of Statistics, TU Dortmund University, 44227, Dortmund, Germany
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Mirshahvalad SA, Chavoshi M, Hekmat S. Diagnostic performance of prone-only myocardial perfusion imaging versus coronary angiography in the detection of coronary artery disease: A systematic review and meta-analysis. J Nucl Cardiol 2022; 29:1339-1351. [PMID: 33025477 DOI: 10.1007/s12350-020-02376-x] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2020] [Accepted: 09/08/2020] [Indexed: 10/23/2022]
Abstract
STUDY DESIGN Although prone position is considered as a complementary protocol in myocardial perfusion imaging (MPI), there is no consensus on its capability to find coronary artery disease (CAD), independently. The primary aim of this review was to report pooled sensitivity and specificity for prone position MPI in detection of CAD. In addition, the results were compared to the supine position's performance. METHODS Electronic bibliographic databases, The Cochrane Library, Web of Science (Science and Social Science Citation Index), Scopus, PubMed, and EMBASE until the end of June 2020 were searched. Studies were included based on the inclusion criteria of (1) evaluated the prone position MPI, (2) defined CAD with coronary angiography (CAG), using the threshold of ≥ 50% stenosis, (3) Adequate data were provided to extract the diagnostic performance. QUADAS-2 tool was utilized to assess the quality of included studies. Pooled sensitivity and specificity were calculated for prone and supine positions, separately. The hierarchical summary ROC curves were also drawn. RESULTS Ten individual studies with the data of the 1490 patients for the prone position and 1138 patients for the supine position were included. Pooled sensitivity and specificity for the prone position were 83% and 79%, respectively. These results were calculated for the supine position as the sensitivity of 86% and specificity of 67%. The pooled sensitivity and specificity of the prone position in detecting the right coronary artery territory defects were 70% and 84%, in turn. CONCLUSION In the suspicion for the CAD, prone position with comparable sensitivity and higher specificity can be an acceptable alternative to the supine position as the standard method. Also, in the cases of possible defects in the RCA territory, prone position showed to be a superior standard.
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Affiliation(s)
- Seyed Ali Mirshahvalad
- Research Center for Nuclear Medicine, Shariati Hospital, Tehran University of Medical Sciences, Tehran, Iran
| | - Mohammadreza Chavoshi
- Department of Radiology, Shariati Hospital, Tehran University of Medical Sciences, Tehran, Iran
| | - Sepideh Hekmat
- Department of Nuclear Medicine, School of Medicine, Hasheminejad Hospital, Iran University of Medical Sciences, Vallinejad Alley, Valiasr Street, Tehran, Iran.
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Performance of Artificial Intelligence Models Designed for Diagnosis, Treatment Planning and Predicting Prognosis of Orthognathic Surgery (OGS)—A Scoping Review. APPLIED SCIENCES-BASEL 2022. [DOI: 10.3390/app12115581] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/01/2023]
Abstract
The technological advancements in the field of medical science have led to an escalation in the development of artificial intelligence (AI) applications, which are being extensively used in health sciences. This scoping review aims to outline the application and performance of artificial intelligence models used for diagnosing, treatment planning and predicting the prognosis of orthognathic surgery (OGS). Data for this paper was searched through renowned electronic databases such as PubMed, Google Scholar, Scopus, Web of science, Embase and Cochrane for articles related to the research topic that have been published between January 2000 and February 2022. Eighteen articles that met the eligibility criteria were critically analyzed based on QUADAS-2 guidelines and the certainty of evidence of the included studies was assessed using the GRADE approach. AI has been applied for predicting the post-operative facial profiles and facial symmetry, deciding on the need for OGS, predicting perioperative blood loss, planning OGS, segmentation of maxillofacial structures for OGS, and differential diagnosis of OGS. AI models have proven to be efficient and have outperformed the conventional methods. These models are reported to be reliable and reproducible, hence they can be very useful for less experienced practitioners in clinical decision making and in achieving better clinical outcomes.
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Aitken M, Chan MV, Urzua Fresno C, Farrell A, Islam N, McInnes MDF, Iwanochko M, Balter M, Moayedi Y, Thavendiranathan P, Metser U, Veit-Haibach P, Hanneman K. Diagnostic Accuracy of Cardiac MRI versus FDG PET for Cardiac Sarcoidosis: A Systematic Review and Meta-Analysis. Radiology 2022; 304:566-579. [PMID: 35579526 DOI: 10.1148/radiol.213170] [Citation(s) in RCA: 44] [Impact Index Per Article: 14.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
Background There is limited consensus regarding the relative diagnostic performance of cardiac MRI and fluorodeoxyglucose (FDG) PET for cardiac sarcoidosis. Purpose To perform a systematic review and meta-analysis to compare the diagnostic accuracy of cardiac MRI and FDG PET for cardiac sarcoidosis. Materials and Methods Medline, Ovid Epub, Cochrane Central Register of Controlled Trials, Embase, Emcare, and Scopus were searched from inception until January 2022. Inclusion criteria included studies that evaluated the diagnostic accuracy of cardiac MRI or FDG PET for cardiac sarcoidosis in adults. Data were independently extracted by two investigators. Summary accuracy metrics were obtained by using bivariate random-effects meta-analysis. Meta-regression was used to assess the effect of different covariates. Risk of bias was assessed using the Quality Assessment Tool for Diagnostic Accuracy Studies-2 tool. The study protocol was registered a priori in the International Prospective Register of Systematic Reviews (Prospero protocol CRD42021214776). Results Thirty-three studies were included (1997 patients, 687 with cardiac sarcoidosis); 17 studies evaluated cardiac MRI (1031 patients) and 26 evaluated FDG PET (1363 patients). Six studies directly compared cardiac MRI and PET in the same patients (303 patients). Cardiac MRI had higher sensitivity than FDG PET (95% vs 84%; P = .002), with no difference in specificity (85% vs 82%; P = .85). In a sensitivity analysis restricted to studies with direct comparison, point estimates were similar to those from the overall analysis: cardiac MRI and FDG PET had sensitivities of 92% and 81% and specificities of 72% and 82%, respectively. Covariate analysis demonstrated that sensitivity for FDG PET was highest with quantitative versus qualitative evaluation (93% vs 76%; P = .01), whereas sensitivity for MRI was highest with inclusion of T2 imaging (99% vs 88%; P = .001). Thirty studies were at risk of bias. Conclusion Cardiac MRI had higher sensitivity than fluorodeoxyglucose PET for diagnosis of cardiac sarcoidosis but similar specificity. Limitations, including risk of bias and few studies with direct comparison, necessitate additional study. © RSNA, 2022 Online supplemental material is available for this article.
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Affiliation(s)
- Matthew Aitken
- From the Department of Medical Imaging, Peter Munk Cardiac Centre (M.A., M.V.C., C.U.F., P.T., U.M., P.V.H., K.H.), Division of Cardiology, Peter Munk Cardiac Centre (M.I., Y.M., P.T.), and Division of Molecular Imaging (U.M., P.V.H.), Toronto General Hospital, University Health Network, University of Toronto, 585 University Ave, 1 PMB-298, Toronto, ON, Canada M5G 2N2; Department of Library and Information Services (A.F.) and Toronto General Hospital Research Institute (P.T., K.H.), University Health Network, University of Toronto, Toronto, Canada; Department of Radiology and Epidemiology, University of Ottawa, Ottawa Hospital Research Institute Clinical Epidemiology Program, Ottawa, Canada (N.I., M.D.F.M.); and Division of Respiratory Medicine, Sinai Health System, University of Toronto, Toronto, Canada (M.B.)
| | - Michael Vinchill Chan
- From the Department of Medical Imaging, Peter Munk Cardiac Centre (M.A., M.V.C., C.U.F., P.T., U.M., P.V.H., K.H.), Division of Cardiology, Peter Munk Cardiac Centre (M.I., Y.M., P.T.), and Division of Molecular Imaging (U.M., P.V.H.), Toronto General Hospital, University Health Network, University of Toronto, 585 University Ave, 1 PMB-298, Toronto, ON, Canada M5G 2N2; Department of Library and Information Services (A.F.) and Toronto General Hospital Research Institute (P.T., K.H.), University Health Network, University of Toronto, Toronto, Canada; Department of Radiology and Epidemiology, University of Ottawa, Ottawa Hospital Research Institute Clinical Epidemiology Program, Ottawa, Canada (N.I., M.D.F.M.); and Division of Respiratory Medicine, Sinai Health System, University of Toronto, Toronto, Canada (M.B.)
| | - Camila Urzua Fresno
- From the Department of Medical Imaging, Peter Munk Cardiac Centre (M.A., M.V.C., C.U.F., P.T., U.M., P.V.H., K.H.), Division of Cardiology, Peter Munk Cardiac Centre (M.I., Y.M., P.T.), and Division of Molecular Imaging (U.M., P.V.H.), Toronto General Hospital, University Health Network, University of Toronto, 585 University Ave, 1 PMB-298, Toronto, ON, Canada M5G 2N2; Department of Library and Information Services (A.F.) and Toronto General Hospital Research Institute (P.T., K.H.), University Health Network, University of Toronto, Toronto, Canada; Department of Radiology and Epidemiology, University of Ottawa, Ottawa Hospital Research Institute Clinical Epidemiology Program, Ottawa, Canada (N.I., M.D.F.M.); and Division of Respiratory Medicine, Sinai Health System, University of Toronto, Toronto, Canada (M.B.)
| | - Ashley Farrell
- From the Department of Medical Imaging, Peter Munk Cardiac Centre (M.A., M.V.C., C.U.F., P.T., U.M., P.V.H., K.H.), Division of Cardiology, Peter Munk Cardiac Centre (M.I., Y.M., P.T.), and Division of Molecular Imaging (U.M., P.V.H.), Toronto General Hospital, University Health Network, University of Toronto, 585 University Ave, 1 PMB-298, Toronto, ON, Canada M5G 2N2; Department of Library and Information Services (A.F.) and Toronto General Hospital Research Institute (P.T., K.H.), University Health Network, University of Toronto, Toronto, Canada; Department of Radiology and Epidemiology, University of Ottawa, Ottawa Hospital Research Institute Clinical Epidemiology Program, Ottawa, Canada (N.I., M.D.F.M.); and Division of Respiratory Medicine, Sinai Health System, University of Toronto, Toronto, Canada (M.B.)
| | - Nayaar Islam
- From the Department of Medical Imaging, Peter Munk Cardiac Centre (M.A., M.V.C., C.U.F., P.T., U.M., P.V.H., K.H.), Division of Cardiology, Peter Munk Cardiac Centre (M.I., Y.M., P.T.), and Division of Molecular Imaging (U.M., P.V.H.), Toronto General Hospital, University Health Network, University of Toronto, 585 University Ave, 1 PMB-298, Toronto, ON, Canada M5G 2N2; Department of Library and Information Services (A.F.) and Toronto General Hospital Research Institute (P.T., K.H.), University Health Network, University of Toronto, Toronto, Canada; Department of Radiology and Epidemiology, University of Ottawa, Ottawa Hospital Research Institute Clinical Epidemiology Program, Ottawa, Canada (N.I., M.D.F.M.); and Division of Respiratory Medicine, Sinai Health System, University of Toronto, Toronto, Canada (M.B.)
| | - Matthew D F McInnes
- From the Department of Medical Imaging, Peter Munk Cardiac Centre (M.A., M.V.C., C.U.F., P.T., U.M., P.V.H., K.H.), Division of Cardiology, Peter Munk Cardiac Centre (M.I., Y.M., P.T.), and Division of Molecular Imaging (U.M., P.V.H.), Toronto General Hospital, University Health Network, University of Toronto, 585 University Ave, 1 PMB-298, Toronto, ON, Canada M5G 2N2; Department of Library and Information Services (A.F.) and Toronto General Hospital Research Institute (P.T., K.H.), University Health Network, University of Toronto, Toronto, Canada; Department of Radiology and Epidemiology, University of Ottawa, Ottawa Hospital Research Institute Clinical Epidemiology Program, Ottawa, Canada (N.I., M.D.F.M.); and Division of Respiratory Medicine, Sinai Health System, University of Toronto, Toronto, Canada (M.B.)
| | - Mark Iwanochko
- From the Department of Medical Imaging, Peter Munk Cardiac Centre (M.A., M.V.C., C.U.F., P.T., U.M., P.V.H., K.H.), Division of Cardiology, Peter Munk Cardiac Centre (M.I., Y.M., P.T.), and Division of Molecular Imaging (U.M., P.V.H.), Toronto General Hospital, University Health Network, University of Toronto, 585 University Ave, 1 PMB-298, Toronto, ON, Canada M5G 2N2; Department of Library and Information Services (A.F.) and Toronto General Hospital Research Institute (P.T., K.H.), University Health Network, University of Toronto, Toronto, Canada; Department of Radiology and Epidemiology, University of Ottawa, Ottawa Hospital Research Institute Clinical Epidemiology Program, Ottawa, Canada (N.I., M.D.F.M.); and Division of Respiratory Medicine, Sinai Health System, University of Toronto, Toronto, Canada (M.B.)
| | - Meyer Balter
- From the Department of Medical Imaging, Peter Munk Cardiac Centre (M.A., M.V.C., C.U.F., P.T., U.M., P.V.H., K.H.), Division of Cardiology, Peter Munk Cardiac Centre (M.I., Y.M., P.T.), and Division of Molecular Imaging (U.M., P.V.H.), Toronto General Hospital, University Health Network, University of Toronto, 585 University Ave, 1 PMB-298, Toronto, ON, Canada M5G 2N2; Department of Library and Information Services (A.F.) and Toronto General Hospital Research Institute (P.T., K.H.), University Health Network, University of Toronto, Toronto, Canada; Department of Radiology and Epidemiology, University of Ottawa, Ottawa Hospital Research Institute Clinical Epidemiology Program, Ottawa, Canada (N.I., M.D.F.M.); and Division of Respiratory Medicine, Sinai Health System, University of Toronto, Toronto, Canada (M.B.)
| | - Yasbanoo Moayedi
- From the Department of Medical Imaging, Peter Munk Cardiac Centre (M.A., M.V.C., C.U.F., P.T., U.M., P.V.H., K.H.), Division of Cardiology, Peter Munk Cardiac Centre (M.I., Y.M., P.T.), and Division of Molecular Imaging (U.M., P.V.H.), Toronto General Hospital, University Health Network, University of Toronto, 585 University Ave, 1 PMB-298, Toronto, ON, Canada M5G 2N2; Department of Library and Information Services (A.F.) and Toronto General Hospital Research Institute (P.T., K.H.), University Health Network, University of Toronto, Toronto, Canada; Department of Radiology and Epidemiology, University of Ottawa, Ottawa Hospital Research Institute Clinical Epidemiology Program, Ottawa, Canada (N.I., M.D.F.M.); and Division of Respiratory Medicine, Sinai Health System, University of Toronto, Toronto, Canada (M.B.)
| | - Paaladinesh Thavendiranathan
- From the Department of Medical Imaging, Peter Munk Cardiac Centre (M.A., M.V.C., C.U.F., P.T., U.M., P.V.H., K.H.), Division of Cardiology, Peter Munk Cardiac Centre (M.I., Y.M., P.T.), and Division of Molecular Imaging (U.M., P.V.H.), Toronto General Hospital, University Health Network, University of Toronto, 585 University Ave, 1 PMB-298, Toronto, ON, Canada M5G 2N2; Department of Library and Information Services (A.F.) and Toronto General Hospital Research Institute (P.T., K.H.), University Health Network, University of Toronto, Toronto, Canada; Department of Radiology and Epidemiology, University of Ottawa, Ottawa Hospital Research Institute Clinical Epidemiology Program, Ottawa, Canada (N.I., M.D.F.M.); and Division of Respiratory Medicine, Sinai Health System, University of Toronto, Toronto, Canada (M.B.)
| | - Ur Metser
- From the Department of Medical Imaging, Peter Munk Cardiac Centre (M.A., M.V.C., C.U.F., P.T., U.M., P.V.H., K.H.), Division of Cardiology, Peter Munk Cardiac Centre (M.I., Y.M., P.T.), and Division of Molecular Imaging (U.M., P.V.H.), Toronto General Hospital, University Health Network, University of Toronto, 585 University Ave, 1 PMB-298, Toronto, ON, Canada M5G 2N2; Department of Library and Information Services (A.F.) and Toronto General Hospital Research Institute (P.T., K.H.), University Health Network, University of Toronto, Toronto, Canada; Department of Radiology and Epidemiology, University of Ottawa, Ottawa Hospital Research Institute Clinical Epidemiology Program, Ottawa, Canada (N.I., M.D.F.M.); and Division of Respiratory Medicine, Sinai Health System, University of Toronto, Toronto, Canada (M.B.)
| | - Patrick Veit-Haibach
- From the Department of Medical Imaging, Peter Munk Cardiac Centre (M.A., M.V.C., C.U.F., P.T., U.M., P.V.H., K.H.), Division of Cardiology, Peter Munk Cardiac Centre (M.I., Y.M., P.T.), and Division of Molecular Imaging (U.M., P.V.H.), Toronto General Hospital, University Health Network, University of Toronto, 585 University Ave, 1 PMB-298, Toronto, ON, Canada M5G 2N2; Department of Library and Information Services (A.F.) and Toronto General Hospital Research Institute (P.T., K.H.), University Health Network, University of Toronto, Toronto, Canada; Department of Radiology and Epidemiology, University of Ottawa, Ottawa Hospital Research Institute Clinical Epidemiology Program, Ottawa, Canada (N.I., M.D.F.M.); and Division of Respiratory Medicine, Sinai Health System, University of Toronto, Toronto, Canada (M.B.)
| | - Kate Hanneman
- From the Department of Medical Imaging, Peter Munk Cardiac Centre (M.A., M.V.C., C.U.F., P.T., U.M., P.V.H., K.H.), Division of Cardiology, Peter Munk Cardiac Centre (M.I., Y.M., P.T.), and Division of Molecular Imaging (U.M., P.V.H.), Toronto General Hospital, University Health Network, University of Toronto, 585 University Ave, 1 PMB-298, Toronto, ON, Canada M5G 2N2; Department of Library and Information Services (A.F.) and Toronto General Hospital Research Institute (P.T., K.H.), University Health Network, University of Toronto, Toronto, Canada; Department of Radiology and Epidemiology, University of Ottawa, Ottawa Hospital Research Institute Clinical Epidemiology Program, Ottawa, Canada (N.I., M.D.F.M.); and Division of Respiratory Medicine, Sinai Health System, University of Toronto, Toronto, Canada (M.B.)
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Chavoshi M, Soltani G, Shafiei Zargar S, Wyles CC, Kremers HM, Rouzrokh P. Diagnostic Performance of Clinical Examination Versus Ultrasonography in the Detection of Developmental Dysplasia of Hip: A Systematic Review and Meta-Analysis. THE ARCHIVES OF BONE AND JOINT SURGERY 2022; 10:403-412. [PMID: 35755788 PMCID: PMC9194706 DOI: 10.22038/abjs.2021.60504.2984] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Received: 06/30/2021] [Accepted: 11/11/2021] [Indexed: 01/24/2023]
Abstract
Background Developmental dysplasia of the hip (DDH) is a spectrum of diseases involving the femoroacetabular joint. Due to the controversies over the value of different strategies used for DDH screening, this systematic review and meta-analysis aimed to assess the diagnostic performance of standard physical examination maneuvers on the diagnosis of DDH, compared to the Graf ultrasonography (US) method. Methods PubMed, Web of Science, and SCOPUS databases were searched until the end of October 2020. Studies that (i) used the Ortolani test, Barlow test, or limited hip abduction (LHA) test to assess the risk of DDH in physical examination, (ii)used the Graf US method to examine DDH in sonography, and (iii) provided adequate data to extract the diagnostic performance were included. Pooled sensitivity and specificity were calculated for clinical examinations. Results A total of 25 studies (72,079 patients in total) were considered eligible to enter the present study. The pooled data of the Ortolani-Barlow test demonstrated a sensitivity of 36% (95% CI:0.25-0.48) and specificity of 98% (95% CI:0.93-0.99). Calculated pooled sensitivity and specificity for the limited hip abduction exam were obtained at 45% (95% CI:0.24-0.69) and 78% (95% CI:0.62-0.88) respectively. A separate analysis of the studies using both exams revealed a sensitivity of 57% (95% CI:0.30-0.82) and a specificity of 95% (95% CI:0.68-0.99). Conclusion Based on the results, the investigated clinical examinations have high specificity but low sensitivity to detect the DDH; therefore, they have limited application as a screening test. If obliged to rely on clinical examinations for screening, the combination of Ortolani-Barlow and LHA tests can provide more sensitivity than either of these tests performed independently.
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Affiliation(s)
- Mohammadreza Chavoshi
- Department of Radiology, Shariati Hospital, Tehran University of Medical Sciences, Tehran, Iran
| | - Ghazaleh Soltani
- Translational Ocular Research Center, Tehran University of Medical Sciences, Tehran, Iran
| | | | - Cody Clayton Wyles
- Department of Clinical Anatomy, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA
| | - Hilal Maradit Kremers
- Departments of Health Science Research and rthopedics Surgery, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA
| | - Pouria Rouzrokh
- Department of Radiology, Radiology Informatics Laboratory, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA
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Diagnostic Accuracy of MRI in Local Staging (T Category) of Penile Cancer and the Value of Artificial Erection: A Systematic Review and Meta-Analysis. AJR Am J Roentgenol 2022; 219:28-36. [PMID: 35195435 DOI: 10.2214/ajr.21.27063] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
BACKGROUND. Treatment recommendations of penile cancers are determined primarily by the local extent of the primary tumor. Clinical palpation is used for local staging. OBJECTIVE. We reviewed diagnostic performance of MRI in local staging of penile cancer in three clinical scenarios (questions [Qs] 1 through 3, Q1-Q3) and one imaging scenario (Q4). Q1 asked whether MRI reliably distinguishes ≤ T1 from ≥ T2 disease. Q2 asked whether clinical staging reliably identifies ≤ T1 versus ≥ T2 disease and how clinical staging compares to MRI. Q3 asked if MRI is accurate for diagnosis of T3 disease. Q4 asked if artificial erection (by intracavernosal injection of prostaglandin E1) improved accuracy of MRI in T categorization. EVIDENCE ACQUISITION. MEDLINE, EMBASE, and Cochrane Library databases were searched through September 13, 2021, for studies evaluating local staging of penile cancer using MRI with surgical pathology as the reference standard. Diagnostic accuracy was calculated using a bivariate random-effects model and hierarchic summary ROC mode Meta-regression was performed to test for covariate effects of MRI and artificial erection in Q3 and Q4, respectively. EVIDENCE SYNTHESIS. Eight studies and 481 patients were included. The sensitivity and specificity of MRI for Q1 were 86% (95% CI, 73-94%) and 89% (95% CI, 77-95%), respectively. AUC for MRI (0.94; 95% CI, 0.92-0.96) did not differ from clinical staging (0.87; 95% CI, 0.84-0.90; p = .83). For Q3, MRI had sensitivity and specificity of 80% (95% CI, 70-87%) and 96% (95% CI, 85-99%), respectively. For Q4, sensitivity and specificity for MRI with versus without artificial erection were 85% (95% CI, 71-92%) and 93% (95% CI, 77-98%) versus 86% (95% CI, 68-95%) and 84% (95% CI, 70-93%), respectively (p = .50). CONCLUSION. MRI staging of penile cancer may be considered for ≤ T1 versus ≥ T2 disease but did not appear more accurate than clinical staging. High specificity of MRI for diagnosis of ≥ T3 disease suggests that MRI may be useful when organ-sparing approaches are planned. MRI with and without artificial erection showed similar accuracy in local staging. CLINICAL IMPACT. MRI, with or without artificial erection, may be valuable in routine preoperative evaluation of local staging of penile cancer, particularly when organ-sparing options are considered.
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Application and Performance of Artificial Intelligence Technology in Detection, Diagnosis and Prediction of Dental Caries (DC)—A Systematic Review. Diagnostics (Basel) 2022; 12:diagnostics12051083. [PMID: 35626239 PMCID: PMC9139989 DOI: 10.3390/diagnostics12051083] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2022] [Revised: 04/12/2022] [Accepted: 04/25/2022] [Indexed: 01/27/2023] Open
Abstract
Evolution in the fields of science and technology has led to the development of newer applications based on Artificial Intelligence (AI) technology that have been widely used in medical sciences. AI-technology has been employed in a wide range of applications related to the diagnosis of oral diseases that have demonstrated phenomenal precision and accuracy in their performance. The aim of this systematic review is to report on the diagnostic accuracy and performance of AI-based models designed for detection, diagnosis, and prediction of dental caries (DC). Eminent electronic databases (PubMed, Google scholar, Scopus, Web of science, Embase, Cochrane, Saudi Digital Library) were searched for relevant articles that were published from January 2000 until February 2022. A total of 34 articles that met the selection criteria were critically analyzed based on QUADAS-2 guidelines. The certainty of the evidence of the included studies was assessed using the GRADE approach. AI has been widely applied for prediction of DC, for detection and diagnosis of DC and for classification of DC. These models have demonstrated excellent performance and can be used in clinical practice for enhancing the diagnostic performance, treatment quality and patient outcome and can also be applied to identify patients with a higher risk of developing DC.
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Park HY, Suh CH, Woo S, Kim PH, Kim KW. Quality Reporting of Systematic Review and Meta-Analysis According to PRISMA 2020 Guidelines: Results from Recently Published Papers in the Korean Journal of Radiology. Korean J Radiol 2022; 23:355-369. [PMID: 35213097 PMCID: PMC8876652 DOI: 10.3348/kjr.2021.0808] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2021] [Revised: 11/26/2021] [Accepted: 12/21/2021] [Indexed: 11/15/2022] Open
Abstract
OBJECTIVE To evaluate the completeness of the reporting of systematic reviews and meta-analyses published in a general radiology journal using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) 2020 guidelines. MATERIALS AND METHODS Twenty-four articles (systematic review and meta-analysis, n = 18; systematic review only, n = 6) published between August 2009 and September 2021 in the Korean Journal of Radiology were analyzed. Completeness of the reporting of main texts and abstracts were evaluated using the PRISMA 2020 statement. For each item in the statement, the proportion of studies that met the guidelines' recommendation was calculated and items that were satisfied by fewer than 80% of the studies were identified. The review process was conducted by two independent reviewers. RESULTS Of the 42 items (including sub-items) in the PRISMA 2020 statement for main text, 24 were satisfied by fewer than 80% of the included articles. The 24 items were grouped into eight domains: 1) assessment of the eligibility of potential articles, 2) assessment of the risk of bias, 3) synthesis of results, 4) additional analysis of study heterogeneity, 5) assessment of non-reporting bias, 6) assessment of the certainty of evidence, 7) provision of limitations of the study, and 8) additional information, such as protocol registration. Of the 12 items in the abstract checklists, eight were incorporated in fewer than 80% of the included publications. CONCLUSION Several items included in the PRISMA 2020 checklist were overlooked in systematic review and meta-analysis articles published in the Korean Journal of Radiology. Based on these results, we suggest a double-check list for improving the quality of systematic reviews and meta-analyses. Authors and reviewers should familiarize themselves with the PRISMA 2020 statement and check whether the recommended items are fully satisfied prior to publication.
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Affiliation(s)
- Ho Young Park
- Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
| | - Chong Hyun Suh
- Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
| | - Sungmin Woo
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Pyeong Hwa Kim
- Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
| | - Kyung Won Kim
- Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
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Pagkalidou E, Anastasilakis DA, Kokkali S, Doundoulakis I, Tsapas A, Dardavessis T, Haidich AB. Reporting completeness in abstracts of systematic reviews of diagnostic test accuracy studies in cardiovascular diseases is suboptimal. Hellenic J Cardiol 2022; 65:25-34. [PMID: 35181563 DOI: 10.1016/j.hjc.2022.02.001] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2021] [Revised: 01/31/2022] [Accepted: 02/03/2022] [Indexed: 02/01/2023] Open
Abstract
OBJECTIVE Journal abstracts are crucial for the identification and initial assessment of content of studies. We evaluated whether authors in the field of cardiovascular diseases (CVDs) reported Diagnostic Test Accuracy Systematic Reviews (DTA SRs) abstracts adequately, as defined by the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA)-DTA guidelines. METHODS SRs of DTA studies in CVDs published in general and specialized medical journals were identified in a MEDLINE search between 2010-2020. Adherence to 12 PRISMA-DTA for abstracts items was assessed independently by two reviewers and compared by journal's type. Moreover, the association of reporting completeness with different characteristics was investigated. RESULTS We included 72 abstracts. Studies published in general medical journals had higher mean reporting score than those in specialized journals (6.2 vs 5.3 out of 12 items; mean difference: 0.88; 95% confidence interval: 0.21, 1.55). PRISMA-DTA adherence was higher in journals that adopted this guideline and in articles with structured abstracts. However, number of participants analysed, funding and registration were the least-reported items in the identified abstracts. CONCLUSION The reporting of abstracts of DTA reports in CVDs is suboptimal according to PRISMA-DTA guidelines. Abstract reporting could be improved with the use of higher word count limits and the adoption of PRISMA-DTA guidelines especially in specialized journals.
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Affiliation(s)
- Eirini Pagkalidou
- Department of Hygiene, Social-Preventive Medicine and Medical Statistics, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, University Campus, 54124, Thessaloniki, Greece
| | | | - Stamatia Kokkali
- Department of Hygiene, Social-Preventive Medicine and Medical Statistics, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, University Campus, 54124, Thessaloniki, Greece
| | - Ioannis Doundoulakis
- First Department of Cardiology, University of Athens Medical School, Athens, Greece
| | - Apostolos Tsapas
- Clinical Research and Evidence-Based Medicine Unit, Second Medical Department, Aristotle University of Thessaloniki, Thessaloniki, Greece; Diabetes Centre, Second Medical Department, Aristotle University of Thessaloniki, Thessaloniki, Greece; Harris Manchester College, University of Oxford, Oxford, United Kingdom
| | - Theodore Dardavessis
- Department of Hygiene, Social-Preventive Medicine and Medical Statistics, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, University Campus, 54124, Thessaloniki, Greece
| | - Anna-Bettina Haidich
- Department of Hygiene, Social-Preventive Medicine and Medical Statistics, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, University Campus, 54124, Thessaloniki, Greece.
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Girolami I, Lucenteforte E, Eccher A, Marletta S, Brunelli M, Graziano P, Pisapia P, Malapelle U, Troncone G, Scarpa A, Huang T, Pantanowitz L. Evidence-based diagnostic performance of novel biomarkers for the diagnosis of malignant mesothelioma in effusion cytology. Cancer Cytopathol 2022; 130:96-109. [PMID: 34478240 DOI: 10.1002/cncy.22509] [Citation(s) in RCA: 31] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2021] [Revised: 07/25/2021] [Accepted: 08/12/2021] [Indexed: 01/30/2023]
Abstract
Cytology effusions are often the only material available for diagnosing malignant pleural mesothelioma (MPM). However, the cytomorphological features alone are not always diagnostic, and cytology samples preclude an assessment for pleural tissue invasion. Accordingly, immunohistochemical, soluble, and molecular biomarkers have been developed. The aim of this study is to provide quantitative evidence regarding the diagnostic performance of novel biomarkers. To that end, a systematic literature review was performed of articles dealing with a loss of BRCA1-associated protein 1 (BAP1), methylthioadenosine (MTAP), 5-hydroxymethylcitosine (5-hmC), glucose transporter 1 (GLUT1), insulin like-growth factor II messenger RNA-binding protein 3 (IMP3), enhanced zeste homologue 2 (EZH2) staining, cyclin-dependent kinase inhibitor 2A (CDKN2A) homozygous deletion (HD) testing, soluble mesothelin, and microRNA quantification in cytological samples for the diagnosis of MPM versus reactive atypical mesothelial cells. Sensitivity and specificity were extracted, and a meta-analysis was performed. The quality of the studies was assessed with Quality Assessment of Diagnostic Accuracy Studies 2, and the quality of the evidence was evaluated with the Grading of Recommendations Assessment, Development, and Evaluation approach. Seventy-one studies were included. BAP1 loss showed a sensitivity of 0.65 (confidence interval [CI], 0.59-0.71) and a specificity of 0.99 (CI, 0.93-1.00). MTAP loss and p16 HD showed 100% specificity with sensitivities of 0.47 (CI, 0.38-0.57) and 0.62 (CI, 0.53-0.71), respectively. BAP1 loss and CDKN2A HD combined showed maximal specificity and a sensitivity of 0.83 (CI, 0.78-0.89). GLUT1 and IMP3 showed sensitivities of 0.82 (CI, 0.70-0.90) and 0.65 (CI, 0.41-0.90), respectively, with comparable specificity. Mesothelin showed a sensitivity of 0.73 (CI, 0.68-0.77) and a specificity of 0.90 (CI, 0.84-0.93). In conclusion, some of the recently emerging biomarkers are close to 1.00 specificity. Their moderate sensitivity on their own, however, can be significantly improved by the use of 2 biomarkers, such as a combination of BAP1 and CDKN2A with fluorescence in situ hybridization or a combination of BAP1 and MTAP immunohistochemistry.
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Affiliation(s)
- Ilaria Girolami
- Division of Pathology, Central Hospital Bolzano, Bolzano, Italy
| | - Ersilia Lucenteforte
- Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
| | - Albino Eccher
- Department of Pathology and Diagnostics, University and Hospital Trust of Verona, Verona, Italy
| | - Stefano Marletta
- Section of Pathology, Department of Diagnostics and Public Health, University and Hospital Trust of Verona, Verona, Italy
| | - Matteo Brunelli
- Section of Pathology, Department of Diagnostics and Public Health, University and Hospital Trust of Verona, Verona, Italy
| | - Paolo Graziano
- Pathology Unit, Foundation IRCCS Casa Sollievo Della Sofferenza, San Giovanni Rotondo, Italy
| | - Pasquale Pisapia
- Department of Public Health, University of Naples Federico II, Naples, Italy
| | - Umberto Malapelle
- Department of Public Health, University of Naples Federico II, Naples, Italy
| | - Giancarlo Troncone
- Department of Public Health, University of Naples Federico II, Naples, Italy
| | - Aldo Scarpa
- Department of Pathology and Diagnostics, University and Hospital Trust of Verona, Verona, Italy
- Section of Pathology, Department of Diagnostics and Public Health, University and Hospital Trust of Verona, Verona, Italy
| | - Tao Huang
- Department of Pathology, University of Michigan, Ann Arbor, Michigan
| | - Liron Pantanowitz
- Department of Pathology, University of Michigan, Ann Arbor, Michigan
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Ritchie B, Porritt K, Marin T, Williams N. Diagnostic test accuracy of serum procalcitonin compared with C-reactive protein for bone and joint infection in children and adolescents: a systematic review and meta-analysis. JBI Evid Synth 2021; 19:3209-3237. [PMID: 34402489 DOI: 10.11124/jbies-20-00357] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
OBJECTIVE The objective of this review was to synthesize the best available evidence for the diagnostic test accuracy of serum procalcitonin compared with serum C-reactive protein for suspected osteomyelitis and septic arthritis in hospitalized children and adolescents. INTRODUCTION Measurement of serum C-reactive protein remains a routine investigation for the diagnosis of osteoarticular infection in children and adolescents. Measurement of serum procalcitonin has been shown to outperform C-reactive protein in adults with osteomyelitis and septic arthritis. Before procalcitonin can be considered as a potential replacement or add-on test in children and adolescents, a systematic review and meta-analysis targeting this population should be conducted. INCLUSION CRITERIA Original studies reporting the diagnostic accuracy of procalcitonin and/or C-reactive protein in children and adolescents between one month and 18 years of age admitted to hospital with suspected osteoarticular infection were included. Studies must have compared the index test to at least one reference test. Reference test was defined as positive culture or polymerase chain reaction confirmation of a pathogen from blood, bone biopsy, or joint fluid aspirate in combination with at least two of the following: i) purulent material from sterile site, ii) positive radiological findings consistent with osteoarticular infection, and ii) symptoms and signs consistent with osteomyelitis and/or septic arthritis. METHODS The JBI methodology for systematic reviews of diagnostic test accuracy was followed. Information was sourced from four databases (MEDLINE, Embase, Cochrane Central Register of Controlled Trials, and Web of Science) and four gray literature sources (MedNar, OpenGrey, Google Scholar, and ProQuest Dissertations and Theses). Only studies published in English were considered. The methodological quality of selected studies was formally evaluated, sensitivity and specificity data were extracted, and 95% confidence intervals determined. Meta-analysis was performed to estimate summary points using a bivariate model and to generate a hierarchical summary receiver operating characteristic (HSROC) curve with global measures of test accuracy performance, such as likelihood ratio and diagnostic odds ratio. A narrative was provided where meta-analysis was not appropriate. RESULTS Eight studies were included in the review. Four of these studies used a common C-reactive protein test threshold of 20 mg/L. At this threshold, the estimated pooled sensitivity of C-reactive protein was 0.86 (0.68-0.96) and the pooled specificity was 0.9 (0.83-0.94). Using a hierarchical summary receiver operating characteristic model from six studies, the diagnostic odds ratio for C-reactive protein was estimated to be 39.4 (14.8-104.9) with a positive likelihood ratio 5.3 (2.3-11.9) and a negative likelihood ratio 0.1 (0.07-0.2). There were insufficient studies from this review to statistically evaluate the diagnostic accuracy of procalcitonin. CONCLUSION Clinicians should continue to measure serum C-reactive protein as the preferred inflammatory marker in hospitalized children and adolescents with suspected osteomyelitis or septic arthritis. More evidence is needed before incorporating procalcitonin routinely into clinicians' diagnostic test strategy. Improvements with the design, quality, and reporting of procalcitonin diagnostic test assays in children and adolescents with osteoarticular infection is needed. SYSTEMATIC REVIEW REGISTRATION NUMBER PROSPERO CRD42019140276.
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Affiliation(s)
- Brett Ritchie
- JBI, Faculty of Health and Medical Sciences, The University of Adelaide, Adelaide, SA, Australia
| | - Kylie Porritt
- JBI, Faculty of Health and Medical Sciences, The University of Adelaide, Adelaide, SA, Australia
| | - Tania Marin
- JBI, Faculty of Health and Medical Sciences, The University of Adelaide, Adelaide, SA, Australia
| | - Nicole Williams
- Centre for Orthopaedic and Trauma Research, The University of Adelaide, Adelaide, SA, Australia.,Department of Orthopaedic Surgery, Women's and Children's Hospital, Adelaide, SA, Australia
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