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Göktaş M, Karabulut D, Ünlü A, Achmet G, Tunçbilek N. MRI-based radiogenomics analysis for predicting prognosis and XRCC1 gene polymorphism in pancreatic ductal adenocarcinoma. Clin Transl Oncol 2025; 27:2517-2526. [PMID: 39487951 DOI: 10.1007/s12094-024-03763-3] [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: 06/02/2024] [Accepted: 10/10/2024] [Indexed: 11/04/2024]
Abstract
PURPOSE To evaluate the prognostic effects of apparent diffusion coefficient (ADC) values, qualitative MRI findings, and XRCC1 polymorphism in patients with pancreatic ductal adenocarcinoma (PDAC). METHODS Between January 2019 and December 2021, 41 PDAC patients (23 males; 66.6 ± 8.9 years) diagnosed with MRI and treated with chemotherapy were included in this prospective, unicenter study. Quantitative b:0-800 ADC values were calculated at the workstation using a circular region of interest with a diameter of 2 cm2. Polymerase chain reaction restriction fragment length polymorphism was used to detect XRCC1 genotypes from blood samples. Demographic data, MRI findings, and survival times were recorded. Sensitivity, specificity of ADCmin values, and relationship between XRCC1 genes in predicting survival were calculated and compared. RESULTS The median overall survival time was calculated as 9.27 ± 1.4 months. The cut-off value of ADCmin was found to be 0.996 × 10-3 mm2/s for predicting a 4.6-month survival with 77.3% sensitivity and 84.2% specificity. The distribution of XRCC1 codon 399 polymorphism was determined as 26.8% (n = 11) GG, 65.9% (n = 27) AG, and 7.3% (n = 3) AA. There was no statistical correlation between ADCmin values and XRCC1 gene polymorphism (p > 0.05). ADCmin < 0.996 × 10-3 and the XRCC1 codon 399 AG/AA genotype was the subgroup with the worst prognosis (p = 0.035). The mean age at diagnosis was 71.0 ± 9.1 years in cases with GG genotype, while it was 64.6 ± 8.9 years in cases with AG/AA genotype, which was statistically significant (p = 0.038). CONCLUSIONS ADCmin values are useful for predicting prognosis in patients with PDAC. XRCC1 gene polymorphism may affect the age at diagnosis.
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Affiliation(s)
- Muhammet Göktaş
- Department of Radiology, Trakya University, Edirne, Turkey.
- Department of Radiology, Çerkezköy State Hospital, Tekirdağ, Turkey.
| | | | - Ayhan Ünlü
- Department of Biophysics, Trakya University, Edirne, Turkey
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Dong Y, Ye X, Li C, van Osch MJP, Börnert P. Navigator-free multi-shot diffusion MRI via non-local low-rank reconstruction. Magn Reson Med 2025. [PMID: 40326537 DOI: 10.1002/mrm.30554] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2025] [Revised: 04/14/2025] [Accepted: 04/14/2025] [Indexed: 05/07/2025]
Abstract
PURPOSE To develop a non-local low-rank (NLLR) reconstruction method for multi-shot EPI (ms-EPI) in DWI, addressing phase inconsistencies and noise issues while maintaining high spatial resolution in clinically feasible scan times. THEORY AND METHODS Single-shot EPI (ss-EPI) is widely used for DWI but suffers from geometric distortions and T2* blurring. ms-EPI improves spatial resolution but introduces shot-to-shot phase variations requiring correction strategies. Traditional navigator-based approaches may increase acquisition time. Recent low-rank regularization reconstruction techniques, such as locally low-rank (LLR) methods, can estimate the phase errors but rely strictly on local neighborhood information along the shot dimension. The proposed NLLR method extends this framework by leveraging non-local patch matching by grouping similar image patches across spatially distant image locations, enhancing non-local redundancy exploitation for improved phase estimation and correction as well as noise suppression. The method was validated in simulations and in vivo experiments and compared to existing post-processing denoising and navigator-free approaches. RESULTS In simulation experiments, compared to post-processing denoising algorithms, NLLR demonstrated superior noise suppression and structural preservation across all metrics, even when reconstructing from a single diffusion direction. In the in-vivo experiments, NLLR outperformed conventional navigator-free approaches particularly regarding noise suppression. Fractional anisotropy maps reconstructed using NLLR exhibited improved visualization of fine structures with improved SNR, with performance differences becoming more pronounced at higher resolutions. CONCLUSION The proposed NLLR approach provides an efficient and good solution for high-resolution DWI reconstruction, improving image quality while mitigating phase variations and noise.
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Affiliation(s)
- Yiming Dong
- C.J. Gorter MRI Center, Department of Radiology, LUMC, Leiden, The Netherlands
| | - Xinyu Ye
- Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
| | - Chang Li
- Division of Image Processing, Department of Radiology, LUMC, Leiden, The Netherlands
| | | | - Peter Börnert
- C.J. Gorter MRI Center, Department of Radiology, LUMC, Leiden, The Netherlands
- Philips Innovative Technologies Hamburg, Hamburg, Germany
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Marchesi S, Lundström E, Lindström E, Ödmark J, Lubberink M, Ahlström H, Lipcsey M. Enhanced glomerular thrombosis in pronated animals with ARDS. Intensive Care Med Exp 2025; 13:36. [PMID: 40111589 PMCID: PMC11926287 DOI: 10.1186/s40635-025-00747-7] [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: 11/28/2024] [Accepted: 03/10/2025] [Indexed: 03/22/2025] Open
Abstract
BACKGROUND Prone positioning is part of the management of acute respiratory distress syndrome (ARDS) and has been demonstrated to successfully improve the ventilation-perfusion match and reduce mortality in patients with severe respiratory failure. However, the effect of pronation on other organs than the lungs has not been widely studied. This study aimed to compare abdominal edema, perfusion and inflammation in supine and prone positioning in a porcine ARDS model. METHODS Seventeen piglets were randomized into two groups: a supine group (n = 9) and a prone group (n = 8). Both groups received endotoxemic infusion and were observed for 6 h. Three animals per group underwent positron emission tomography-magnetic resonance imaging (PET-MRI) for imaging acquisition. Hemodynamic and respiratory parameters were recorded throughout the protocol. Inflammation was assessed by measuring cytokine concentrations in blood, ascites and the abdominal organs' tissue. The edema in abdominal organs was assessed by wet-dry ratio and pathophysiological analysis of tissue samples and by MRI and PET measurements from volumes of interest (VOIs) delineated in abdominal organ in MRI and PET images. The abdominal organs' perfusion was also assessed by MRI and PET measurements. RESULTS The prone group had a faster CO2 washout and needed a lower positive end-expiratory pressure to maintain the desired oxygenation. In the prone group duodenal edema was lower (measured with wet-dry ratio) and renal perfusion, by both MRI and PET measurements, was lower than half compared to the supine group (MRI, perfusion fraction, f: supine group 0.13; prone group 0.03; p-value 0.002. PET Flow: supine group 1.7; prone group 0.4 ml/cm3/min; p-value 0.002). In addition, the histopathological samples of the kidneys showed a higher incidence and extent of glomerular thrombosis in the prone group. CONCLUSIONS In a porcine ARDS model, prone positioning was associated with enhanced glomerular thrombosis and low renal perfusion.
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Affiliation(s)
- Silvia Marchesi
- Hedenstierna Laboratory, Department of Surgical Science, Uppsala University, Uppsala, Sweden.
- Department of Intensive and Perioperative Care, Skåne University Hospital, Malmö, Sweden.
- Department of Medical Science, Lund Universitet, Lund, Sweden.
| | - Elin Lundström
- Radiology, Department of Surgical Science, Uppsala University, Uppsala, Sweden
| | - Elin Lindström
- Molecular Imaging and Medical Physics, Department of Surgical Sciences, Uppsala University, Uppsala, Sweden
- Medical Physics, Uppsala University Hospital, Uppsala, Sweden
| | - Jonas Ödmark
- Hedenstierna Laboratory, Department of Surgical Science, Uppsala University, Uppsala, Sweden
- Anesthesiology and Intensive Care, Department of Surgical Science, Uppsala University, Uppsala, Sweden
| | - Mark Lubberink
- Molecular Imaging and Medical Physics, Department of Surgical Sciences, Uppsala University, Uppsala, Sweden
- Medical Physics, Uppsala University Hospital, Uppsala, Sweden
| | - Håkan Ahlström
- Radiology, Department of Surgical Science, Uppsala University, Uppsala, Sweden
- Antaros Medical, Mölndal, Sweden
| | - Miklós Lipcsey
- Hedenstierna Laboratory, Department of Surgical Science, Uppsala University, Uppsala, Sweden
- Anesthesiology and Intensive Care, Department of Surgical Science, Uppsala University, Uppsala, Sweden
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Tai CEA, Wong A. Optimized Synthetic Correlated Diffusion Imaging for Improving Breast Cancer Tumor Delineation. SENSORS (BASEL, SWITZERLAND) 2024; 24:8173. [PMID: 39771908 PMCID: PMC11679806 DOI: 10.3390/s24248173] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/03/2024] [Revised: 12/11/2024] [Accepted: 12/14/2024] [Indexed: 01/11/2025]
Abstract
Breast cancer is a significant cause of death from cancer in women globally, highlighting the need for improved diagnostic imaging to enhance patient outcomes. Accurate tumor identification is essential for diagnosis, treatment, and monitoring, emphasizing the importance of advanced imaging technologies that provide detailed views of tumor characteristics and disease. Recently, a new imaging modality named synthetic correlated diffusion imaging (CDIs) has been showing promise for enhanced prostate cancer delineation when compared to existing MRI imaging modalities. In this study, we explore the efficacy of optimizing the correlated diffusion imaging (CDI) protocol to tailor it for breast cancer tumor delineation. More specifically, we optimize the coefficients of the calibrated signal mixing function in the CDIs protocol that controls the contribution of different gradient pulse strengths and timings by maximizing the area under the receiver operating characteristic curve (AUC) across a breast cancer patient cohort. Experiments showed that the optimized CDIs can noticeably increase the delineation of breast cancer tumors by over 0.03 compared to the unoptimized form, as well as providing the highest AUC when compared with gold-standard modalities. These experimental results demonstrate the importance of optimizing the CDIs imaging protocol for specific cancer applications to yield the best diagnostic imaging performance.
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Affiliation(s)
- Chi-en Amy Tai
- Department of Systems Design Engineering, University of Waterloo, Waterloo, ON N2L 3G1, Canada;
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Jafari SH, Lajevardi ZS, Zamani Fard MM, Jafari A, Naghavi S, Ravaei F, Taghavi SP, Mosadeghi K, Zarepour F, Mahjoubin-Tehran M, Rahimian N, Mirzaei H. Imaging Techniques and Biochemical Biomarkers: New Insights into Diagnosis of Pancreatic Cancer. Cell Biochem Biophys 2024; 82:3123-3144. [PMID: 39026059 DOI: 10.1007/s12013-024-01437-z] [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] [Accepted: 07/12/2024] [Indexed: 07/20/2024]
Abstract
Pancreatic cancer (PaC) incidence is increasing, but our current screening and diagnostic strategies are not very effective. However, screening could be helpful in the case of PaC, as recent evidence shows that the disease progresses gradually. Unfortunately, there is no ideal screening method or program for detecting PaC in its early stages. Conventional imaging techniques, such as abdominal ultrasound, CT, MRI, and EUS, have not been successful in detecting early-stage PaC. On the other hand, biomarkers may be a more effective screening tool for PaC and have greater potential for further evaluation compared to imaging. Recent studies on biomarkers and artificial intelligence (AI)-enhanced imaging have shown promising results in the early diagnosis of PaC. In addition to proteins, non-coding RNAs are also being studied as potential biomarkers for PaC. This review consolidates the current literature on PaC screening modalities to provide an organized framework for future studies. While conventional imaging techniques have not been effective in detecting early-stage PaC, biomarkers and AI-enhanced imaging are promising avenues of research. Further studies on the use of biomarkers, particularly non-coding RNAs, in combination with imaging modalities may improve the accuracy of PaC screening and lead to earlier detection of this deadly disease.
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Affiliation(s)
- Seyed Hamed Jafari
- Medical Imaging Research Center, Shiraz University of Medical Sciences, Shiraz, Iran
- Department of Radiology, School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Zahra Sadat Lajevardi
- School of Medicine, Kashan University of Medical Sciences, Kashan, Iran
- Student Research Committee, Kashan University of Medical Sciences, Kashan, Iran
| | - Mohammad Masoud Zamani Fard
- School of Medicine, Kashan University of Medical Sciences, Kashan, Iran
- Student Research Committee, Kashan University of Medical Sciences, Kashan, Iran
| | - Ameneh Jafari
- Chronic Respiratory Diseases Research Center, NRITLD, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Soroush Naghavi
- Student Research Committee, Iran University of Medical Sciences, Tehran, Iran
| | - Fatemeh Ravaei
- School of Medicine, Kashan University of Medical Sciences, Kashan, Iran
- Student Research Committee, Kashan University of Medical Sciences, Kashan, Iran
| | - Seyed Pouya Taghavi
- School of Medicine, Kashan University of Medical Sciences, Kashan, Iran
- Student Research Committee, Kashan University of Medical Sciences, Kashan, Iran
| | - Kimia Mosadeghi
- School of Medicine, Kashan University of Medical Sciences, Kashan, Iran
- Student Research Committee, Kashan University of Medical Sciences, Kashan, Iran
| | - Fatemeh Zarepour
- School of Medicine, Kashan University of Medical Sciences, Kashan, Iran
- Student Research Committee, Kashan University of Medical Sciences, Kashan, Iran
| | | | - Neda Rahimian
- Endocrine Research Center, Institute of Endocrinology and Metabolism, Iran University of Medical Sciences (IUMS), Tehran, Iran; Department of Internal Medicine, School of Medicine, Firoozgar Hospital, Iran University of Medical Sciences, Tehran, Iran.
| | - Hamed Mirzaei
- Research Center for Biochemistry and Nutrition in Metabolic Diseases, Institute for Basic Sciences, Kashan University of Medical Sciences, Kashan, Iran.
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Stoppino LP, Piscone S, Quarta Colosso O, Saccone S, Milillo P, Della Valle N, Sacco R, Reginelli A, Macarini L, Vinci R. Bright Luminal Sign on High b-Value Diffusion-Weighted Magnetic Resonance Enterography Imaging as a New Biomarker to Predict Fibrotic Strictures in Crohn's Disease Patients: A Retrospective Preliminary Study. J Imaging 2024; 10:283. [PMID: 39590747 PMCID: PMC11595469 DOI: 10.3390/jimaging10110283] [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: 10/18/2024] [Revised: 10/31/2024] [Accepted: 11/05/2024] [Indexed: 11/28/2024] Open
Abstract
A retrospective analysis was conducted to investigate how a bright luminal sign on high b-value diffusion-weighted imaging (DWI) could be considered as a new biomarker for identifying fibrotic strictures in Crohn's disease (CD). Fibrotic strictures, due to excessive deposition of extracellular matrix following chronic inflammatory processes, can be difficult to distinguish from inflammatory strictures using endoscopy. This study was performed on 65 patients with CD who underwent MRE, and among them 32 patients showed the bright luminal sign on high b-value DWI. DWI findings were compared to pre- and post-contrast MRE data. Luminal bright sign performance results were calculated using a confusion matrix, the relationship between categorical variables was assessed by the χ2 test of independence, and the Kruskal-Wallis test (ANOVA) was used for the assessment of statistical significance of differences between groups. The results indicated a high sensitivity (90%) and specificity (85%) of the bright luminal sign for fibro-stenotic CD and a significant correlation between DWI luminal brightness and markers such as the homogeneous enhancement pattern (p < 0.001), increase in enhancement percentage from 70 s to 7 min after gadolinium injection (p < 0.001), and submucosal fat penetration (p = 0.05). These findings indicate that DWI hyperintensity can be considered as a good non-invasive indicator for the detection of severe intestinal fibrosis and may provide an efficient and accurate method for assessing fibrotic strictures. This new non-invasive biomarker could allow an early diagnosis of fibrotic stricture, delaying the onset of complications and subsequent surgery. Moreover, further evaluations through larger prospective trials with histopathological correlation are needed to confirm these results and completely determine the clinical benefits of DWI in treating CD.
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Affiliation(s)
- Luca Pio Stoppino
- Department of Medical & Surgical Sciences, Section of Diagnostic Imaging, University of Foggia, Viale Luigi Pinto n. 1, 71122 Foggia, Italy; (L.P.S.); (O.Q.C.); (S.S.); (P.M.); (L.M.); (R.V.)
| | - Stefano Piscone
- Department of Medical & Surgical Sciences, Section of Diagnostic Imaging, University of Foggia, Viale Luigi Pinto n. 1, 71122 Foggia, Italy; (L.P.S.); (O.Q.C.); (S.S.); (P.M.); (L.M.); (R.V.)
| | - Ottavia Quarta Colosso
- Department of Medical & Surgical Sciences, Section of Diagnostic Imaging, University of Foggia, Viale Luigi Pinto n. 1, 71122 Foggia, Italy; (L.P.S.); (O.Q.C.); (S.S.); (P.M.); (L.M.); (R.V.)
| | - Sara Saccone
- Department of Medical & Surgical Sciences, Section of Diagnostic Imaging, University of Foggia, Viale Luigi Pinto n. 1, 71122 Foggia, Italy; (L.P.S.); (O.Q.C.); (S.S.); (P.M.); (L.M.); (R.V.)
| | - Paola Milillo
- Department of Medical & Surgical Sciences, Section of Diagnostic Imaging, University of Foggia, Viale Luigi Pinto n. 1, 71122 Foggia, Italy; (L.P.S.); (O.Q.C.); (S.S.); (P.M.); (L.M.); (R.V.)
| | - Nicola Della Valle
- Department of Medical & Surgical Sciences, Section of Gastroenterology, University of Foggia, Viale Luigi Pinto n. 1, 71122 Foggia, Italy; (N.D.V.); (R.S.)
| | - Rodolfo Sacco
- Department of Medical & Surgical Sciences, Section of Gastroenterology, University of Foggia, Viale Luigi Pinto n. 1, 71122 Foggia, Italy; (N.D.V.); (R.S.)
| | - Alfonso Reginelli
- Department of Precision Medicine, University of Campania “L. Vanvitelli”, 80138 Naples, Italy;
| | - Luca Macarini
- Department of Medical & Surgical Sciences, Section of Diagnostic Imaging, University of Foggia, Viale Luigi Pinto n. 1, 71122 Foggia, Italy; (L.P.S.); (O.Q.C.); (S.S.); (P.M.); (L.M.); (R.V.)
| | - Roberta Vinci
- Department of Medical & Surgical Sciences, Section of Diagnostic Imaging, University of Foggia, Viale Luigi Pinto n. 1, 71122 Foggia, Italy; (L.P.S.); (O.Q.C.); (S.S.); (P.M.); (L.M.); (R.V.)
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Dhiman A, Kumar V, Das CJ. Quantitative magnetic resonance imaging in prostate cancer: A review of current technology. World J Radiol 2024; 16:497-511. [PMID: 39494137 PMCID: PMC11525833 DOI: 10.4329/wjr.v16.i10.497] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/14/2024] [Revised: 09/26/2024] [Accepted: 10/20/2024] [Indexed: 10/28/2024] Open
Abstract
Prostate cancer (PCa) imaging forms an important part of PCa clinical management. Magnetic resonance imaging is the modality of choice for prostate imaging. Most of the current imaging assessment is qualitative i.e., based on visual inspection and thus subjected to inter-observer disagreement. Quantitative imaging is better than qualitative assessment as it is more objective, and standardized, thus improving interobserver agreement. Apart from detecting PCa, few quantitative parameters may have potential to predict disease aggressiveness, and thus can be used for prognosis and deciding the course of management. There are various magnetic resonance imaging-based quantitative parameters and few of them are already part of PIRADS v.2.1. However, there are many other parameters that are under study and need further validation by rigorous multicenter studies before recommending them for routine clinical practice. This review intends to discuss the existing quantitative methods, recent developments, and novel techniques in detail.
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Affiliation(s)
- Ankita Dhiman
- Department of Radiodiagnosis and Interventional Radiology, All India Institute of Medical Sciences, New Delhi 110029, Delhi, India
| | - Virendra Kumar
- Department of NMR & MRI Facility, All India Institute of Medical Sciences, New Delhi 110029, Delhi, India
| | - Chandan Jyoti Das
- Department of Radiodiagnosis and Interventional Radiology, All India Institute of Medical Sciences, New Delhi 110029, Delhi, India
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Kim M, Lee TY, Kang BS, Kwon WJ, Lim S, Park GM, Bang AM. Evaluating Biliary Malignancy with Measured and Calculated Ultra-high b-value Diffusion-weighted MR Imaging at 3T. Magn Reson Med Sci 2024; 23:428-437. [PMID: 37183027 PMCID: PMC11447472 DOI: 10.2463/mrms.mp.2022-0144] [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: 12/05/2022] [Accepted: 04/12/2023] [Indexed: 05/16/2023] Open
Abstract
PURPOSE Although diffusion-weighted imaging (DWI) with ultra-high b-values is reported to be advantageous in the detection of some tumors, its applicability is not yet known in biliary malignancy. Therefore, this study aimed to evaluate the impact of measured b = 1400 s/mm2 (M1400) and calculated b = 1400 s/mm2 (C1400) DWI on image quality and quality of lesion discernibility using a modern 3T MR system compared to conventional b = 800 s/mm2 DWI (M800). METHODS We evaluated 56 patients who had pathologically proven biliary malignancy. All the patients underwent preoperative or baseline 3T MRI using DWI (b = 50, 400, 800, and 1400 s/mm2). The calculated DWI was obtained using a conventional DWI set (b = 50, 400, and 800). The tumor-to-bile contrast ratio (CR) and tumor SNR were compared between the different DWI images. Likert scores were given on a 5-point scale to assess the overall image quality, overall artifacts, ghost artifacts, misregistration artifacts, margin sharpness, and lesion discernibility. Repeated-measures analysis of variance with post hoc analyses was used for statistical evaluations. RESULTS The CR of the tumor-to-bile was significantly higher in both M1400 and C1400 than in M800 (Pa < 0.01). SNRs were significantly higher in M800, followed by C1400 and M1400 (Pa < 0.01). Lesion discernibility was significantly improved for M1400, followed by C1400 and M800 for both readers (Pa < 0.01). CONCLUSION Using a 3T MRI, both measured and calculated DWI with an ultra-high b-value offer superior lesion discernibility for biliary malignancy compared to the conventional DWI.
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Affiliation(s)
- Minkyeong Kim
- Department of Radiology, Ulsan University Hospital, University of Ulsan College of Medicine, Dong-gu, Ulsan, Republic of Korea
| | - Tae Young Lee
- Department of Radiology, Ulsan University Hospital, University of Ulsan College of Medicine, Dong-gu, Ulsan, Republic of Korea
| | - Byeong Seong Kang
- Department of Radiology, Ulsan University Hospital, University of Ulsan College of Medicine, Dong-gu, Ulsan, Republic of Korea
| | - Woon Jung Kwon
- Department of Radiology, Ulsan University Hospital, University of Ulsan College of Medicine, Dong-gu, Ulsan, Republic of Korea
| | - Soyeoun Lim
- Department of Radiology, Ulsan University Hospital, University of Ulsan College of Medicine, Dong-gu, Ulsan, Republic of Korea
| | - Gyeong Min Park
- Department of Radiology, Ulsan University Hospital, University of Ulsan College of Medicine, Dong-gu, Ulsan, Republic of Korea
| | - and Minseo Bang
- Department of Radiology, Ulsan University Hospital, University of Ulsan College of Medicine, Dong-gu, Ulsan, Republic of Korea
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Lee PK, Zhou X, Wang N, Syed AB, Brunsing RL, Vasanawala SS, Hargreaves BA. Distortionless, free-breathing, and respiratory resolved 3D diffusion weighted imaging of the abdomen. Magn Reson Med 2024; 92:586-604. [PMID: 38688875 DOI: 10.1002/mrm.30067] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2023] [Revised: 02/09/2024] [Accepted: 02/09/2024] [Indexed: 05/02/2024]
Abstract
PURPOSE Abdominal imaging is frequently performed with breath holds or respiratory triggering to reduce the effects of respiratory motion. Diffusion weighted sequences provide a useful clinical contrast but have prolonged scan times due to low signal-to-noise ratio (SNR), and cannot be completed in a single breath hold. Echo-planar imaging (EPI) is the most commonly used trajectory for diffusion weighted imaging but it is susceptible to off-resonance artifacts. A respiratory resolved, three-dimensional (3D) diffusion prepared sequence that obtains distortionless diffusion weighted images during free-breathing is presented. Techniques to address the myriad of challenges including: 3D shot-to-shot phase correction, respiratory binning, diffusion encoding during free-breathing, and robustness to off-resonance are described. METHODS A twice-refocused, M1-nulled diffusion preparation was combined with an RF-spoiled gradient echo readout and respiratory resolved reconstruction to obtain free-breathing diffusion weighted images in the abdomen. Cartesian sampling permits a sampling density that enables 3D shot-to-shot phase navigation and reduction of transient fat artifacts. Theoretical properties of a region-based shot rejection are described. The region-based shot rejection method was evaluated with free-breathing (normal and exaggerated breathing), and respiratory triggering. The proposed sequence was compared in vivo with multishot DW-EPI. RESULTS The proposed sequence exhibits no evident distortion in vivo when compared to multishot DW-EPI, robustness to B0 and B1 field inhomogeneities, and robustness to motion from different respiratory patterns. CONCLUSION Acquisition of distortionless, diffusion weighted images is feasible during free-breathing with a b-value of 500 s/mm2, scan time of 6 min, and a clinically viable reconstruction time.
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Affiliation(s)
- Philip K Lee
- Radiology, Stanford University, Stanford, California, USA
| | - Xuetong Zhou
- Radiology, Stanford University, Stanford, California, USA
- Bioengineering, Stanford University, Stanford, California, USA
| | - Nan Wang
- Radiology, Stanford University, Stanford, California, USA
| | - Ali B Syed
- Radiology, Stanford University, Stanford, California, USA
| | | | | | - Brian A Hargreaves
- Radiology, Stanford University, Stanford, California, USA
- Bioengineering, Stanford University, Stanford, California, USA
- Electrical Engineering, Stanford University, Stanford, California, USA
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Valizadeh P, Jannatdoust P, Tahamtan M, Ghorani H, Dorcheh SS, Farnoud K, Salahshour F. Diagnostic performance of different imaging modalities for splenic malignancies: A comparative meta-analysis. Eur J Radiol Open 2024; 12:100566. [PMID: 38681661 PMCID: PMC11053287 DOI: 10.1016/j.ejro.2024.100566] [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: 11/16/2023] [Revised: 04/10/2024] [Accepted: 04/15/2024] [Indexed: 05/01/2024] Open
Abstract
Background and objectives The spleen hosts both benign and malignant lesions. Despite multiple imaging modalities, the distinction between these lesions poses a diagnostic challenge, marked by varying diagnostic accuracy levels across methods. In this study, we aimed to evaluate and compare the diagnostic performance of various imaging techniques for detecting malignant splenic lesions. Methods Following PRISMA guidelines, we searched PubMed, Scopus, and Web of Sciences databases for studies evaluating imaging techniques in detecting malignant splenic lesions. Data extraction included diagnostic accuracy metrics, and methodological quality was assessed using QUADAS-2. Diagnostic Test Accuracy meta-analyses were conducted using R (version: 4.2.1). Subgroup analyses and meta-regression were performed to compare different modalities and clinical settings. Results Our study included 28 studies (pooled sample size: 2358), primarily using retrospective designs with histopathology as the reference standard. PET scan demonstrated the highest diagnostic accuracy (AUC: 92 %), demonstrating a sensitivity of 93 % (95 % CI: 80.4 % - 97.7 %) and a specificity of 82.8 % (95 % CI: 71.1 % - 90.4 %). Contrast-enhanced ultrasound (CEUS), Contrast-enhanced CT scan, and contrast-enhanced MRI also showed impressive performance with AUCs of 91.4 %, 90.9 %, and 85.3 %, respectively. Differences among these modalities were not statistically significant, but they outperformed non-contrast-enhanced methods. PET and CEUS exhibited higher specificity for lymphoma cases compared to studies including other malignancies. Conclusion and clinical implications Overall, PET emerges as the best modality for splenic malignancies, and CEUS and CE-MRI show promise as potential alternatives, notably due to their reduced radiation exposure. Further research is essential for precise malignancy differentiation.
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Affiliation(s)
- Parya Valizadeh
- School of Medicine, Tehran University of Medical Science, Tehran, Iran
- Advanced Diagnostic and Interventional Radiology Research Center (ADIR), Tehran University of Medical Science, Tehran, Iran
| | - Payam Jannatdoust
- School of Medicine, Tehran University of Medical Science, Tehran, Iran
- Advanced Diagnostic and Interventional Radiology Research Center (ADIR), Tehran University of Medical Science, Tehran, Iran
| | - Mohammadreza Tahamtan
- School of Medicine, Tehran University of Medical Science, Tehran, Iran
- Advanced Diagnostic and Interventional Radiology Research Center (ADIR), Tehran University of Medical Science, Tehran, Iran
| | - Hamed Ghorani
- Advanced Diagnostic and Interventional Radiology Research Center (ADIR), Tehran University of Medical Science, Tehran, Iran
- Department of Radiology, Shariati Hospital, Tehran University of Medical Sciences, Tehran, Iran
| | - Soroush Soleimani Dorcheh
- School of Medicine, Tehran University of Medical Science, Tehran, Iran
- Student's Scientific Research Center, Tehran University of Medical Science, Iran
| | - Khashayar Farnoud
- School of Medicine, Iran University of Medical Sciences, Tehran, Iran
| | - Faeze Salahshour
- Advanced Diagnostic and Interventional Radiology Research Center (ADIR), Tehran University of Medical Science, Tehran, Iran
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11
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Bilreiro C, Andrade L, Marques RM, Matos C. Diffusion-weighted imaging for determining response to neoadjuvant therapy in pancreatic cancer: a systematic review and meta-analysis. Eur Radiol 2024; 34:3238-3248. [PMID: 37907761 PMCID: PMC11126427 DOI: 10.1007/s00330-023-10381-0] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2023] [Revised: 09/15/2023] [Accepted: 10/11/2023] [Indexed: 11/02/2023]
Abstract
OBJECTIVES To determine the role of diffusion-weighted imaging (DWI) for predicting response to neoadjuvant therapy (NAT) in pancreatic cancer. MATERIALS AND METHODS MEDLINE, EMBASE, and Cochrane Library databases were searched for studies evaluating the performance of apparent diffusion coefficient (ADC) to assess response to NAT. Data extracted included ADC pre- and post-NAT, for predicting response as defined by imaging, histopathology, or clinical reference standards. ADC values were compared with standardized mean differences. Risk of bias was assessed using the Quality Assessment of Diagnostic Studies (QUADAS-2). RESULTS Of 337 studies, 7 were included in the analysis (161 patients). ADC values reported for the pre- and post-NAT assessments overlapped between responders and non-responders. One study reported inability of ADC increase after NAT for distinguishing responders and non-responders. A correlation with histopathological response was reported for pre- and post-NAT ADC in 4 studies. DWI's diagnostic performance was reported to be high in three studies, with a 91.6-100% sensitivity and 62.5-94.7% specificity. Finally, heterogeneity and high risk of bias were identified across studies, affecting the domains of patient selection, index test, reference standard, and flow and timing. CONCLUSION DWI might be useful for determining response to NAT in pancreatic cancer. However, there are still too few studies on this matter, which are also heterogeneous and at high risk for bias. Further studies with standardized procedures for data acquisition and accurate reference standards are needed. CLINICAL RELEVANCE STATEMENT Diffusion-weighted MRI might be useful for assessing response to neoadjuvant therapy in pancreatic cancer. However, further studies with robust data are needed to provide specific recommendations for clinical practice. KEY POINTS •The role of DWI with ADC measurements for assessing response to neoadjuvant therapy in pancreatic cancer is still unclear. •Pre- and post-neoadjuvant therapy ADC values overlap between responders and non-responders. •DWI has a reported high diagnostic performance for determining response when using histopathological or clinical reference standards; however, studies are still few and at high risk for bias.
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Affiliation(s)
- Carlos Bilreiro
- Radiology Department, Champalimaud Foundation, Lisbon, Portugal.
- Champalimaud Research, Champalimaud Foundation, Lisbon, Portugal.
- Nova Medical School, Lisbon, Portugal.
| | - Luísa Andrade
- Radiology Department, Champalimaud Foundation, Lisbon, Portugal
| | - Rui Mateus Marques
- Nova Medical School, Lisbon, Portugal
- Radiology Department, Hospital de S. José, Lisbon, Portugal
| | - Celso Matos
- Radiology Department, Champalimaud Foundation, Lisbon, Portugal
- Champalimaud Research, Champalimaud Foundation, Lisbon, Portugal
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12
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Zheng W, Yan G, Jiang Y, Bao Z, Li K, Deng M, Li B, Zou Y. Diffusion-Weighted MRI of the Fetal Brain in Fetal Growth Restriction With Maternal Preeclampsia or Gestational Hypertension. J Magn Reson Imaging 2024; 59:1384-1393. [PMID: 37315155 DOI: 10.1002/jmri.28861] [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: 02/09/2023] [Revised: 05/28/2023] [Accepted: 05/30/2023] [Indexed: 06/16/2023] Open
Abstract
BACKGROUND The fetal neurodevelopmental microstructural alterations of intrauterine exposure to preeclampsia (PE) or gestational hypertension (GH) remain unknown. PURPOSE To evaluate the differences in diffusion-weighted imaging (DWI) of the fetal brain between normotensive pregnancies and PE/GH pregnancies, with a focus on PE/GH pregnancies with fetal growth restriction (FGR). STUDY TYPE Retrospective matched case-control study. POPULATION 40 singleton pregnancies with PE/GH complicated by FGR, and 3 paired control groups (PE/GH without FGR, normotensive FGR, normotensive pregnancies) (28-38 gestational weeks). FIELD STRENGTH/SEQUENCE DWI with single-shot echo-planar imaging at 1.5 Tesla. ASSESSMENT The apparent diffusion coefficient (ADC) values were calculated in the centrum semi-ovale (CSO), parietal white matter (PWM), frontal white matter (FWM), occipital white matter (OWM), temporal white matter (TWM), basal ganglia, thalamus (THAL), pons, and cerebellar hemisphere. STATISTICAL TESTS Student t test or Wilcoxon matched test was used to reveal the difference of ADC values among the investigated brain regions. A correlation between gestational age (GA) and ADC values was determined by linear regression analysis. RESULTS Compared with fetuses in PE/GH without FGR and those with normotensive pregnancies, fetuses in the PE/GH with FGR group had significantly lower average ADC measurements of supratentorial regions (1.65 ± 0.09 vs. 1.71 ± 0.10 10-3 mm2 /sec; vs. 1.73 ± 0.11 10-3 mm2 /sec, respectively). Regions of significantly decreased ADC values in the fetal brain included CSO, FWM, PWM, OWM, TWM and THAL in cases of PE/GH with FGR. ADC values from supratentorial regions in PE/GH pregnancies were not significantly correlated with GA (P = 0.12, 0.26); however, this trend was statistically significant in the normotensive groups. DATA CONCLUSION ADC values may indicate fetal brain developmental alterations in PE/GH with FGR fetuses but more microscopic and morphological studies are necessary to provide additional evidence to offer a different interpretation of this trend in fetal brain. LEVEL OF EVIDENCE 4 TECHNICAL EFFICACY STAGE: 3.
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Affiliation(s)
- Weizeng Zheng
- Department of Radiology, Women's Hospital School of Medicine Zhejiang University, Hangzhou, China
| | - Guohui Yan
- Department of Radiology, Women's Hospital School of Medicine Zhejiang University, Hangzhou, China
| | - Ying Jiang
- Department of Obstetrics, Women's Hospital School of Medicine Zhejiang University, Hangzhou, China
| | - Zhongkun Bao
- Department of Radiology, Women's Hospital School of Medicine Zhejiang University, Hangzhou, China
| | - Kui Li
- Department of Radiology, Women's Hospital School of Medicine Zhejiang University, Hangzhou, China
| | - Meixiang Deng
- Department of Radiology, Women's Hospital School of Medicine Zhejiang University, Hangzhou, China
| | - Baohua Li
- Department of Obstetrics, Women's Hospital School of Medicine Zhejiang University, Hangzhou, China
| | - Yu Zou
- Department of Radiology, Women's Hospital School of Medicine Zhejiang University, Hangzhou, China
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13
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Gopal N, Anari PY, Chaurasia A, Antony M, Wakim P, Linehan WM, Ball M, Turkbey E, Malayeri A. The kidney imaging surveillance scoring system (KISSS): using qualitative MRI features to predict growth rate of renal tumors in patients with von-Hippel Lindau (VHL) syndrome. Abdom Radiol (NY) 2024; 49:542-550. [PMID: 38010527 DOI: 10.1007/s00261-023-04087-6] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2023] [Revised: 10/04/2023] [Accepted: 10/09/2023] [Indexed: 11/29/2023]
Abstract
OBJECTIVE To determine the reliability of an MRI-based qualitative kidney imaging surveillance scoring system (KISSS) and assess which imaging features predict growth rate (GR) of renal tumors in patients with VHL. MATERIALS AND METHODS We identified 55 patients with VHL with 128 renal tumors who underwent intervention from 2015 to 2020 at the National Cancer Institute. All patients had 2 preoperative MRIs at least 3 months apart. Two fellowship-trained radiologists scored each tumor on location and MR-sequence-specific imaging parameters from the earlier MRI. Weighted kappa was used to determine the degree of agreement between radiologists for each parameter. GR was calculated as the difference in maximum tumor dimension over time (cm/year). Differences in mean growth rate (MGR) within categories of each imaging variable were assessed by ANOVA. RESULTS Apart from tumor margin and renal sinus, reliability was at least moderate (K > 0.40) for imaging parameters. Median initial tumor size was 2.1 cm, with average follow-up of 1.2 years. Tumor MGR was 0.42 cm/year. T2 hypointense, mixed/predominantly solid, and high restricted diffusion tumors grew faster. When comparing different combinations of these variables, the model with the lowest mean error among both radiologists utilized only solid/cystic and restricted diffusion features. CONCLUSIONS We demonstrate a novel MR-based scoring system (KISSS) that has good precision with minimal training and can be applied to other qualitative radiology studies. A subset of imaging variables (T2 intensity; restricted diffusion; and solid/cystic) were independently associated with growth rate in VHL renal tumors, with the combination of the latter two most optimal. Additional validation, including in sporadic RCC population, is warranted.
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Affiliation(s)
- Nikhil Gopal
- Urology Oncology Branch, National Cancer Institutes, National Institutes of Health, Bethesda, MD, USA
| | - Pouria Yazdian Anari
- Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, 10 Center Drive, Bethesda, MD, 20892-1109, USA
| | - Aditi Chaurasia
- Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, 10 Center Drive, Bethesda, MD, 20892-1109, USA
| | - Maria Antony
- Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, 10 Center Drive, Bethesda, MD, 20892-1109, USA
| | - Paul Wakim
- Center for the Clinical Trials Network, National Institute on Drug Abuse, Bethesda, MD, USA
| | - W Marston Linehan
- Urology Oncology Branch, National Cancer Institutes, National Institutes of Health, Bethesda, MD, USA
| | - Mark Ball
- Urology Oncology Branch, National Cancer Institutes, National Institutes of Health, Bethesda, MD, USA
| | - Evrim Turkbey
- Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, 10 Center Drive, Bethesda, MD, 20892-1109, USA
| | - Ashkan Malayeri
- Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, 10 Center Drive, Bethesda, MD, 20892-1109, USA.
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14
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Tejani AS, Berson E, Phillip J, Feltrin FS, Bazan C, Raj KM, Agarwal AK, Maldjian JA, Lee WC, Yu FF. Diffusion-weighted imaging of the orbit. Clin Radiol 2024; 79:10-18. [PMID: 37926649 DOI: 10.1016/j.crad.2023.10.010] [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: 03/27/2023] [Revised: 09/14/2023] [Accepted: 10/02/2023] [Indexed: 11/07/2023]
Abstract
Orbital lesions compose a heterogeneous group of pathologies that often present with non-specific imaging findings on conventional magnetic resonance imaging (MRI) sequences (T1-and T2-weighted). Accordingly, the application of diffusion MRI offers an opportunity to further distinguish between lesions along this spectrum. Diffusion-weighted imaging (DWI) represents the simplest and most frequent clinically utilised diffusion imaging technique. Recent advances in DWI techniques have extended its application to the evaluation of a wider spectrum of neurological pathology, including orbital lesions. This review details the manifestations of select orbital pathology on DWI and underscores specific situations where diffusion imaging allows for increased diagnostic sensitivity compared to more conventional MRI techniques. These examples also describe preferred management for orbital lesions identified by DWI.
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Affiliation(s)
- A S Tejani
- Department of Raddsiology, University of Texas Southwestern Medical Center, Dallas, TX, USA.
| | - E Berson
- Department of Radiology, Yale School of Medicine, New Haven, CT, USA
| | - J Phillip
- Department of Raddsiology, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - F S Feltrin
- Department of Raddsiology, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - C Bazan
- Department of Radiology, University of Texas Health Science Center at San Antonio, San Antonio, TX, USA
| | - K M Raj
- Department of Raddsiology, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - A K Agarwal
- Department of Raddsiology, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - J A Maldjian
- Department of Raddsiology, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - W-C Lee
- Department of Emergency Medicine, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - F F Yu
- Department of Raddsiology, University of Texas Southwestern Medical Center, Dallas, TX, USA
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15
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Takayama Y, Sato K, Tanaka S, Murayama R, Goto N, Yoshimitsu K. Deep learning-based magnetic resonance imaging reconstruction for improving the image quality of reduced-field-of-view diffusion-weighted imaging of the pancreas. World J Radiol 2023; 15:338-349. [PMID: 38179202 PMCID: PMC10762521 DOI: 10.4329/wjr.v15.i12.338] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/22/2023] [Revised: 11/12/2023] [Accepted: 12/04/2023] [Indexed: 12/26/2023] Open
Abstract
BACKGROUND It has been reported that deep learning-based reconstruction (DLR) can reduce image noise and artifacts, thereby improving the signal-to-noise ratio and image sharpness. However, no previous studies have evaluated the efficacy of DLR in improving image quality in reduced-field-of-view (reduced-FOV) diffusion-weighted imaging (DWI) [field-of-view optimized and constrained undistorted single-shot (FOCUS)] of the pancreas. We hypothesized that a combination of these techniques would improve DWI image quality without prolonging the scan time but would influence the apparent diffusion coefficient calculation. AIM To evaluate the efficacy of DLR for image quality improvement of FOCUS of the pancreas. METHODS This was a retrospective study evaluated 37 patients with pancreatic cystic lesions who underwent magnetic resonance imaging between August 2021 and October 2021. We evaluated three types of FOCUS examinations: FOCUS with DLR (FOCUS-DLR+), FOCUS without DLR (FOCUS-DLR-), and conventional FOCUS (FOCUS-conv). The three types of FOCUS and their apparent diffusion coefficient (ADC) maps were compared qualitatively and quantitatively. RESULTS FOCUS-DLR+ (3.62, average score of two radiologists) showed significantly better qualitative scores for image noise than FOCUS-DLR- (2.62) and FOCUS-conv (2.88) (P < 0.05). Furthermore, FOCUS-DLR+ showed the highest contrast ratio (CR) between the pancreatic parenchyma and adjacent fat tissue for b-values of 0 and 600 s/mm2 (0.72 ± 0.08 and 0.68 ± 0.08) and FOCUS-DLR- showed the highest CR between cystic lesions and the pancreatic parenchyma for the b-values of 0 and 600 s/mm2 (0.62 ± 0.21 and 0.62 ± 0.21) (P < 0.05), respectively. FOCUS-DLR+ provided significantly higher ADCs of the pancreas and lesion (1.44 ± 0.24 and 3.00 ± 0.66) compared to FOCUS-DLR- (1.39 ± 0.22 and 2.86 ± 0.61) and significantly lower ADCs compared to FOCUS-conv (1.84 ± 0.45 and 3.32 ± 0.70) (P < 0.05), respectively. CONCLUSION This study evaluated the efficacy of DLR for image quality improvement in reduced-FOV DWI of the pancreas. DLR can significantly denoise images without prolonging the scan time or decreasing the spatial resolution. The denoising level of DWI can be controlled to make the images appear more natural to the human eye. However, this study revealed that DLR did not ameliorate pancreatic distortion. Additionally, physicians should pay attention to the interpretation of ADCs after DLR application because ADCs are significantly changed by DLR.
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Affiliation(s)
- Yukihisa Takayama
- Department of Radiology, Faculty of Medicine, Fukuoka University, Fukuoka 8140180, Japan
| | - Keisuke Sato
- Department of Radiology, Faculty of Medicine, Fukuoka University, Fukuoka 8140180, Japan
| | - Shinji Tanaka
- Department of Radiology, Faculty of Medicine, Fukuoka University, Fukuoka 8140180, Japan
| | - Ryo Murayama
- Department of Radiology, Faculty of Medicine, Fukuoka University, Fukuoka 8140180, Japan
| | - Nahoko Goto
- Department of Radiology, Faculty of Medicine, Fukuoka University, Fukuoka 8140180, Japan
| | - Kengo Yoshimitsu
- Department of Radiology, Faculty of Medicine, Fukuoka University, Fukuoka 8140180, Japan
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16
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Switlyk MD, Hopland A, Reitan E, Sivanesan S, Brennhovd B, Axcrona U, Hole KH. Multiparametric Magnetic Resonance Imaging of Penile Cancer: A Pictorial Review. Cancers (Basel) 2023; 15:5324. [PMID: 38001583 PMCID: PMC10670261 DOI: 10.3390/cancers15225324] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2023] [Revised: 11/03/2023] [Accepted: 11/06/2023] [Indexed: 11/26/2023] Open
Abstract
The role of multiparametric magnetic resonance imaging (mpMRI) in assessing penile cancer is not well defined. However, this modality may be successfully applied for preoperative staging and patient selection; postoperative local and regional surveillance; and assessments of treatment response after oncological therapies. Previous studies have been mostly limited to a few small series evaluating the accuracy of MRI for the preoperative staging of penile cancer. This review discusses the principles of non-erectile mpMRI, including functional techniques and their applications in evaluating the male genital region, along with clinical protocols and technical considerations. The latest clinical classifications and guidelines are reviewed, focusing on imaging recommendations and discussing potential gaps and disadvantages. The development of functional MRI techniques and the extraction of quantitative parameters from these sequences enables the noninvasive assessment of phenotypic and genotypic tumor characteristics. The applications of advanced techniques in penile MRI are yet to be defined. There is a need for prospective trials and feasible multicenter trials due to the rarity of the disease, highlighting the importance of minimum technical requirements for MRI protocols, particularly image resolution, and finally determining the role of mpMRI in the assessment of penile cancer.
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Affiliation(s)
- Marta D. Switlyk
- Department of Radiology, The Norwegian Radium Hospital, Oslo University Hospital, 0379 Oslo, Norway; (E.R.); (K.H.H.)
| | - Andreas Hopland
- Department of Urology, The Norwegian Radium Hospital, Oslo University Hospital, 0379 Oslo, Norway; (A.H.); (S.S.); (B.B.)
| | - Edmund Reitan
- Department of Radiology, The Norwegian Radium Hospital, Oslo University Hospital, 0379 Oslo, Norway; (E.R.); (K.H.H.)
| | - Shivanthe Sivanesan
- Department of Urology, The Norwegian Radium Hospital, Oslo University Hospital, 0379 Oslo, Norway; (A.H.); (S.S.); (B.B.)
- Institute of Clinical Medicine (KlinMED), Faculty of Medicine, University of Oslo, 0318 Oslo, Norway
| | - Bjørn Brennhovd
- Department of Urology, The Norwegian Radium Hospital, Oslo University Hospital, 0379 Oslo, Norway; (A.H.); (S.S.); (B.B.)
| | - Ulrika Axcrona
- Department of Pathology, The Norwegian Radium Hospital, Oslo University Hospital, 0379 Oslo, Norway;
| | - Knut H. Hole
- Department of Radiology, The Norwegian Radium Hospital, Oslo University Hospital, 0379 Oslo, Norway; (E.R.); (K.H.H.)
- Institute of Clinical Medicine (KlinMED), Faculty of Medicine, University of Oslo, 0318 Oslo, Norway
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17
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Maino C, Vernuccio F, Cannella R, Cortese F, Franco PN, Gaetani C, Giannini V, Inchingolo R, Ippolito D, Defeudis A, Pilato G, Tore D, Faletti R, Gatti M. Liver metastases: The role of magnetic resonance imaging. World J Gastroenterol 2023; 29:5180-5197. [PMID: 37901445 PMCID: PMC10600959 DOI: 10.3748/wjg.v29.i36.5180] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/30/2023] [Revised: 08/28/2023] [Accepted: 09/11/2023] [Indexed: 09/20/2023] Open
Abstract
The liver is one of the organs most commonly involved in metastatic disease, especially due to its unique vascularization. It's well known that liver metastases represent the most common hepatic malignant tumors. From a practical point of view, it's of utmost importance to evaluate the presence of liver metastases when staging oncologic patients, to select the best treatment possible, and finally to predict the overall prognosis. In the past few years, imaging techniques have gained a central role in identifying liver metastases, thanks to ultrasonography, contrast-enhanced computed tomography (CT), and magnetic resonance imaging (MRI). All these techniques, especially CT and MRI, can be considered the non-invasive reference standard techniques for the assessment of liver involvement by metastases. On the other hand, the liver can be affected by different focal lesions, sometimes benign, and sometimes malignant. On these bases, radiologists should face the differential diagnosis between benign and secondary lesions to correctly allocate patients to the best management. Considering the above-mentioned principles, it's extremely important to underline and refresh the broad spectrum of liver metastases features that can occur in everyday clinical practice. This review aims to summarize the most common imaging features of liver metastases, with a special focus on typical and atypical appearance, by using MRI.
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Affiliation(s)
- Cesare Maino
- Department of Radiology, Fondazione IRCCS San Gerardo dei Tintori, Monza 20900, Italy
| | - Federica Vernuccio
- University Hospital of Padova, Institute of Radiology, Padova 35128, Italy
| | - Roberto Cannella
- Department of Biomedicine, Neuroscience and Advanced Diagnostics (BiND), University of Palermo, Palermo 90127, Italy
| | - Francesco Cortese
- Unit of Interventional Radiology, F Miulli Hospital, Acquaviva delle Fonti 70021, Italy
| | - Paolo Niccolò Franco
- Department of Radiology, Fondazione IRCCS San Gerardo dei Tintori, Monza 20900, Italy
| | - Clara Gaetani
- Department of Surgical Sciences, University of Turin, Turin 10126, Italy
| | - Valentina Giannini
- Department of Surgical Sciences, University of Turin, Turin 10126, Italy
| | - Riccardo Inchingolo
- Unit of Interventional Radiology, F Miulli Hospital, Acquaviva delle Fonti 70021, Italy
| | - Davide Ippolito
- Department of Radiology, Fondazione IRCCS San Gerardo dei Tintori, Monza 20900, Italy
- School of Medicine, University of Milano Bicocca, Milano 20100, Italy
| | - Arianna Defeudis
- Department of Surgical Sciences, University of Turin, Turin 10126, Italy
| | - Giulia Pilato
- Department of Biomedicine, Neuroscience and Advanced Diagnostics (BiND), University of Palermo, Palermo 90127, Italy
| | - Davide Tore
- Department of Surgical Sciences, University of Turin, Turin 10126, Italy
| | - Riccardo Faletti
- Department of Surgical Sciences, University of Turin, Turin 10126, Italy
| | - Marco Gatti
- Department of Surgical Sciences, University of Turin, Turin 10126, Italy
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18
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Carney BW, Larson MC, Corwin MT, Lamba R. Imaging of Hepatobiliary Cancer. Curr Probl Cancer 2023:100964. [PMID: 37321910 DOI: 10.1016/j.currproblcancer.2023.100964] [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: 12/29/2022] [Revised: 05/04/2023] [Accepted: 05/20/2023] [Indexed: 06/17/2023]
Abstract
The liver and biliary tree are common sites of primary and secondary malignancies. MRI followed by CT is the mainstay for the imaging characterization of these malignancies with the dynamically acquired contrast enhanced phases being the most important for diagnosis. The liver imaging reporting and data system classification provides a useful framework for reporting lesions in patents with underlying cirrhosis or who are at high risk for developing hepatocellular carcinoma. Detection of metastases is improved with the use of liver specific MRI contrast agents and diffusion weighted sequences. Aside from hepatocellular carcinoma, which is often diagnosed noninvasively, other primary hepatobiliary tumors may require biopsy for definite diagnosis, especially when presenting with nonclassic imaging findings. In this review, we examine the imaging findings of common and less common hepatobiliary tumors.
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Affiliation(s)
- Benjamin W Carney
- Department of Radiology, University of California, Davis Health System, Sacramento, California.
| | - Michael C Larson
- Department of Radiology, University of California, Davis Health System, Sacramento, California
| | - Michael T Corwin
- Department of Radiology, University of California, Davis Health System, Sacramento, California
| | - Ramit Lamba
- Department of Radiology, University of California, Davis Health System, Sacramento, California
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19
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Ippolito D, Maino C, Vernuccio F, Cannella R, Inchingolo R, Dezio M, Faletti R, Bonaffini PA, Gatti M, Sironi S. Liver involvement in patients with COVID-19 infection: A comprehensive overview of diagnostic imaging features. World J Gastroenterol 2023; 29:834-850. [PMID: 36816623 PMCID: PMC9932422 DOI: 10.3748/wjg.v29.i5.834] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/03/2022] [Revised: 12/06/2022] [Accepted: 01/20/2023] [Indexed: 02/06/2023] Open
Abstract
During the first wave of the pandemic, coronavirus disease 2019 (COVID-19) infection has been considered mainly as a pulmonary infection. However, different clinical and radiological manifestations were observed over time, including involvement of abdominal organs. Nowadays, the liver is considered one of the main affected abdominal organs. Hepatic involvement may be caused by either a direct damage by the virus or an indirect damage related to COVID-19 induced thrombosis or to the use of different drugs. After clinical assessment, radiology plays a key role in the evaluation of liver involvement. Ultrasonography (US), computed tomography (CT) and magnetic resonance imaging (MRI) may be used to evaluate liver involvement. US is widely available and it is considered the first-line technique to assess liver involvement in COVID-19 infection, in particular liver steatosis and portal-vein thrombosis. CT and MRI are used as second- and third-line techniques, respectively, considering their higher sensitivity and specificity compared to US for assessment of both parenchyma and vascularization. This review aims to the spectrum of COVID-19 liver involvement and the most common imaging features of COVID-19 liver damage.
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Affiliation(s)
- Davide Ippolito
- Milano Bicocca School of Medicine and Surgery, Milano 20126, Italy
- Fondazione IRCCS San Gerardo dei Tintori, Monza 20900, Italy
| | - Cesare Maino
- Fondazione IRCCS San Gerardo dei Tintori, Monza 20900, Italy
| | - Federica Vernuccio
- Institute of Radiology (DIMED), University Hospital of Padova, Padova 35128, Italy
| | - Roberto Cannella
- Section of Radiology-Department of Biomedicine, Neuroscience and Advanced Diagnostics (BiND), University of Palermo, Palermo 90127, Italy
- Department of Health Promotion, Mother and Child Care, Internal Medicine and Medical Specialties (PROMISE), University of Palermo, Palermo 90127, Italy
| | - Riccardo Inchingolo
- Division of Interventional Radiology, Department of Radiology, Madonna delle Grazie Hospital, Matera 75100, Italy
| | - Michele Dezio
- Division of Interventional Radiology, Department of Radiology, Madonna delle Grazie Hospital, Matera 75100, Italy
| | - Riccardo Faletti
- Department of Surgical Sciences, University of Turin, Turin 10126, Italy
| | - Pietro Andrea Bonaffini
- Milano Bicocca School of Medicine and Surgery, Milano 20126, Italy
- Department of Diagnostic Radiology, Papa Giovanni XXIII Hospital, Bergamo 24127, Italy
| | - Marco Gatti
- Department of Diagnostic Radiology, University of Turin, Turin 10126, Italy
| | - Sandro Sironi
- Milano Bicocca School of Medicine and Surgery, Milano 20126, Italy
- Department of Diagnostic Radiology, Papa Giovanni XXIII Hospital, Bergamo 24127, Italy
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Multi-parametric MRI without artificial erection for preoperative assessment of primary penile carcinoma: A pilot study on the correlation between imaging and histopathological findings. Eur J Radiol Open 2023; 10:100478. [PMID: 36793771 PMCID: PMC9922909 DOI: 10.1016/j.ejro.2023.100478] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2022] [Revised: 01/23/2023] [Accepted: 01/24/2023] [Indexed: 01/29/2023] Open
Abstract
Purpose We aimed to evaluate the diagnostic potential of non-erectile multi-parametric magnetic resonance imaging (mpMRI) for preoperative assessment of primary penile squamous cell carcinoma (SCC). Method Twenty-five patients who underwent surgery for penile SCC were included. Preoperative mpMRI without artificial erection was performed in all patients. The preoperative MRI protocol consisted of high-resolution morphological and functional sequences (diffusion-weighted imaging and dynamic contrast-enhanced MRI perfusion) covering the penis and lower pelvis. T and N staging, according to the 8th edition of the Union for International Cancer Control TNM classification, as well as the largest diameter and thickness/infiltration depth of the primary lesions were determined in all patients. Imaging data were retrospectively collected and compared with the final histopathology reports. Results Very good agreement was observed between MRI and histopathology for the involvement of corpus spongiosum (p = 0.002) and good agreement was observed for the involvement of penile urethra and tunica albuginea/corpus cavernosum (p < 0.001 and p = 0.007, respectively). Good agreement was observed between MRI and histopathology for overall T staging and weaker, but still good agreement was observed for N staging (p < 0.001 and p = 0.002, respectively). A strong and significant correlation was observed between MRI and histopathology for the largest diameter and thickness/infiltration depth of the primary lesions (p < 0.001). Conclusions Good concordance was observed between MRI and histopathological findings. Our initial findings indicate that non-erectile mpMRI is useful in preoperative assessment of primary penile SCC.
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Shetty AS, Fraum TJ, Ludwig DR, Hoegger MJ, Zulfiqar M, Ballard DH, Strnad BS, Rajput MZ, Itani M, Salari R, Lanier MH, Mellnick VM. Body MRI: Imaging Protocols, Techniques, and Lessons Learned. Radiographics 2022; 42:2054-2074. [DOI: 10.1148/rg.220025] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Affiliation(s)
- Anup S. Shetty
- From the Mallinckrodt Institute of Radiology, Washington University School of Medicine, 510 S Kingshighway Blvd, Campus Box 8131, St Louis, MO 63110
| | - Tyler J. Fraum
- From the Mallinckrodt Institute of Radiology, Washington University School of Medicine, 510 S Kingshighway Blvd, Campus Box 8131, St Louis, MO 63110
| | - Daniel R. Ludwig
- From the Mallinckrodt Institute of Radiology, Washington University School of Medicine, 510 S Kingshighway Blvd, Campus Box 8131, St Louis, MO 63110
| | - Mark J. Hoegger
- From the Mallinckrodt Institute of Radiology, Washington University School of Medicine, 510 S Kingshighway Blvd, Campus Box 8131, St Louis, MO 63110
| | - Maria Zulfiqar
- From the Mallinckrodt Institute of Radiology, Washington University School of Medicine, 510 S Kingshighway Blvd, Campus Box 8131, St Louis, MO 63110
| | - David H. Ballard
- From the Mallinckrodt Institute of Radiology, Washington University School of Medicine, 510 S Kingshighway Blvd, Campus Box 8131, St Louis, MO 63110
| | - Benjamin S. Strnad
- From the Mallinckrodt Institute of Radiology, Washington University School of Medicine, 510 S Kingshighway Blvd, Campus Box 8131, St Louis, MO 63110
| | - Mohamed Z. Rajput
- From the Mallinckrodt Institute of Radiology, Washington University School of Medicine, 510 S Kingshighway Blvd, Campus Box 8131, St Louis, MO 63110
| | - Malak Itani
- From the Mallinckrodt Institute of Radiology, Washington University School of Medicine, 510 S Kingshighway Blvd, Campus Box 8131, St Louis, MO 63110
| | - Reza Salari
- From the Mallinckrodt Institute of Radiology, Washington University School of Medicine, 510 S Kingshighway Blvd, Campus Box 8131, St Louis, MO 63110
| | - Michael H. Lanier
- From the Mallinckrodt Institute of Radiology, Washington University School of Medicine, 510 S Kingshighway Blvd, Campus Box 8131, St Louis, MO 63110
| | - Vincent M. Mellnick
- From the Mallinckrodt Institute of Radiology, Washington University School of Medicine, 510 S Kingshighway Blvd, Campus Box 8131, St Louis, MO 63110
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Bonde A, Andreazza Dal Lago E, Foster B, Javadi S, Palmquist S, Bhosale P. Utility of the Diffusion Weighted Sequence in Gynecological Imaging: Review Article. Cancers (Basel) 2022; 14:cancers14184468. [PMID: 36139628 PMCID: PMC9496793 DOI: 10.3390/cancers14184468] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2022] [Revised: 08/30/2022] [Accepted: 09/08/2022] [Indexed: 11/17/2022] Open
Abstract
Simple Summary Diffusion weighted imaging (DWI) is a magnetic resonance imaging sequence with diverse clinical applications in malignant and nonmalignant gynecological conditions. It provides vital supplemental information in the diagnosis and management of various gynecological conditions. Radiologists should be aware of fundamental concepts, clinical applications and pitfalls of DWI. Additionally we briefly discuss potential scope of newer advanced techniques based on DWI including diffusion tensor imaging and diffusion-weighted whole-body imaging with background signal suppression. Abstract Functional imaging with diffusion-weighted imaging (DWI) is a complementary tool to conventional diagnostic magnetic resonance imaging sequences. It is being increasingly investigated to predict tumor response and assess tumor recurrence. We elucidate the specific technical modifications of DWI preferred for gynecological imaging, including the different b-values and planes for image acquisition. Additionally, we discuss the problems and potential pitfalls encountered during DWI interpretation and ways to overcome them. DWI has a wide range of clinical applications in malignant and non-malignant gynecological conditions. It provides supplemental information helpful in diagnosing and managing tubo-ovarian abscess, uterine fibroids, endometriosis, adnexal torsion, and dermoid. Similarly, DWI has diverse applications in gynecological oncology in diagnosis, staging, detection of recurrent disease, and tumor response assessment. Quantitative evaluation with apparent diffusion coefficient (ADC) measurement is being increasingly evaluated for correlation with various tumor parameters in managing gynecological malignancies aiding in preoperative treatment planning. Newer advanced DWI techniques of diffusion tensor imaging (DTI) and whole body DWI with background suppression (DWIBS) and their potential uses in pelvic nerve mapping, preoperative planning, and fertility-preserving surgeries are briefly discussed.
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Affiliation(s)
- Apurva Bonde
- Department of Radiology, The University of Texas Health Science Center at San Antonio, San Antonio, TX 78229, USA
- Correspondence:
| | | | - Bryan Foster
- Department of Radiology, Oregon Health & Science University, Portland, OR 97239, USA
| | - Sanaz Javadi
- Department of Radiology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Sarah Palmquist
- Department of Radiology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Priya Bhosale
- Department of Radiology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
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Führes T, Saake M, Lorenz J, Seuss H, Stemmer A, Benkert T, Uder M, Laun FB. Reduction of the cardiac pulsation artifact and improvement of lesion conspicuity in flow‐compensated diffusion images in the liver—A quantitative evaluation of postprocessing algorithms. Magn Reson Med 2022; 89:423-439. [PMID: 36089798 DOI: 10.1002/mrm.29427] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2022] [Revised: 08/05/2022] [Accepted: 08/08/2022] [Indexed: 11/10/2022]
Abstract
PURPOSE To enhance image quality of flow-compensated diffusion-weighted liver MRI data by increasing the lesion conspicuity and reducing the cardiac pulsation artifact using postprocessing algorithms. METHODS Diffusion-weighted image data of 40 patients with liver lesions had been acquired at 1.5 T. These data were postprocessed with 5 different algorithms (weighted averaging, p-mean, percentile, outlier exclusion, and exception set). Four image properties of the postprocessed data were evaluated for optimizing the algorithm parameters. These properties were the lesion to tissue contrast-to-noise ratio (CNR), the reduction of the cardiac pulsation artifact, the data consistency, and the vessel darkness. They were combined into a total quality score ( Q total , $$ {Q}_{\mathrm{total}}, $$ set to 1 for the trace-weighted reference image), which was used to rate the image quality objectively. RESULTS The weighted averaging algorithm performed best according to the total quality score ( Q total = 1.111 ± 0.067 $$ {Q}_{\mathrm{total}}=1.111\pm 0.067 $$ ). The further ranking was outlier exclusion algorithm ( Q total = 1.086 ± 0.061 $$ {Q}_{\mathrm{total}}=1.086\pm 0.061 $$ ), p-mean algorithm ( Q total = 1.045 ± 0.049 $$ {Q}_{\mathrm{total}}=1.045\pm 0.049 $$ ), percentile algorithm ( Q total = 1.012 ± 0.049 $$ {Q}_{\mathrm{total}}=1.012\pm 0.049 $$ ), and exception set algorithm ( Q total = 0.957 ± 0.027 $$ {Q}_{\mathrm{total}}=0.957\pm 0.027 $$ ). All optimized algorithms except for the exception set algorithm corrected the pulsation artifact and increased the lesion CNR. Changes in Q total $$ {Q}_{\mathrm{total}} $$ were significant for all optimized algorithms except for the percentile algorithm. Liver ADC was significantly reduced (except for the exception set algorithm), particularly in the left lobe. CONCLUSION Postprocessing algorithms should be used for flow-compensated liver DWI. The proposed weighted averaging algorithm seems to be suited best to increase the image quality of artifact-corrupted flow-compensated diffusion-weighted liver data.
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Affiliation(s)
- Tobit Führes
- Institute of Radiology, University Hospital Erlangen Friedrich‐Alexander‐Universität Erlangen‐Nürnberg (FAU) Erlangen Germany
| | - Marc Saake
- Institute of Radiology, University Hospital Erlangen Friedrich‐Alexander‐Universität Erlangen‐Nürnberg (FAU) Erlangen Germany
| | - Jennifer Lorenz
- Institute of Radiology, University Hospital Erlangen Friedrich‐Alexander‐Universität Erlangen‐Nürnberg (FAU) Erlangen Germany
| | - Hannes Seuss
- Institute of Radiology, University Hospital Erlangen Friedrich‐Alexander‐Universität Erlangen‐Nürnberg (FAU) Erlangen Germany
- Abteilung für Radiologie Klinikum Forchheim – Fränkische Schweiz Forchheim Germany
| | - Alto Stemmer
- MR Application Predevelopment Siemens Healthcare GmbH Erlangen Germany
| | - Thomas Benkert
- MR Application Predevelopment Siemens Healthcare GmbH Erlangen Germany
| | - Michael Uder
- Institute of Radiology, University Hospital Erlangen Friedrich‐Alexander‐Universität Erlangen‐Nürnberg (FAU) Erlangen Germany
| | - Frederik Bernd Laun
- Institute of Radiology, University Hospital Erlangen Friedrich‐Alexander‐Universität Erlangen‐Nürnberg (FAU) Erlangen Germany
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Sertic M, Kilcoyne A, Catalano OA, Lee SI. Quantitative imaging of uterine cancers with diffusion-weighted MRI and 18-fluorodeoxyglucose PET/CT. Abdom Radiol (NY) 2022; 47:3174-3188. [PMID: 34302185 DOI: 10.1007/s00261-021-03218-1] [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: 05/11/2021] [Revised: 07/14/2021] [Accepted: 07/15/2021] [Indexed: 01/18/2023]
Abstract
Imaging plays an important role in the diagnosis and treatment of women with uterine cervical and endometrial cancers. Quantitative imaging, through MRI, PET/CT, and hybrid PET/MRI, allows for characterization of primary tumors beyond anatomic and qualitative descriptors. MRI diffusion-weighted imaging (DWI) yields an apparent diffusion coefficient (ADC), which can be applied in both the pre-and post-treatment assessment of uterine tumors. PET/CT assesses metabolic activity, and measurement of tumor standardized uptake value (SUV) is a useful metric in the staging of uterine malignancies. Hybrid PET/MRI is an emerging modality that combines the soft tissue contrast of MRI with the molecular imaging capability of PET. This review provides an overview of these quantitative imaging modalities, and their current and potential roles in the assessment of uterine cervical and cancer.
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Affiliation(s)
- Madeleine Sertic
- Department of Radiology, Massachusetts General Hospital, 55 Fruit St, Boston, MA, USA. .,Harvard Medical School, Boston, MA, USA.
| | - Aoife Kilcoyne
- Department of Radiology, Massachusetts General Hospital, 55 Fruit St, Boston, MA, USA.,Harvard Medical School, Boston, MA, USA
| | - Onofrio Antonio Catalano
- Department of Radiology, Massachusetts General Hospital, 55 Fruit St, Boston, MA, USA.,Harvard Medical School, Boston, MA, USA
| | - Susanna I Lee
- Department of Radiology, Massachusetts General Hospital, 55 Fruit St, Boston, MA, USA.,Harvard Medical School, Boston, MA, USA
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Lindt B, Richter H, Del Chicca F. Investigated regional apparent diffusion coefficient values of the morphologically normal feline brain. J Feline Med Surg 2022; 24:e214-e222. [PMID: 35707978 PMCID: PMC10812285 DOI: 10.1177/1098612x221101535] [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] [Accepted: 04/29/2022] [Indexed: 11/15/2022]
Abstract
OBJECTIVES Diffusion-weighted imaging (DWI) MRI is increasingly available in veterinary medicine for investigation of the brain. However, apparent diffusion coefficient (ADC) values have only been reported in a small number of cats or in research settings. The aim of this study was to investigate the ADC values of different anatomical regions of the morphologically normal brain in a feline patient population. Additionally, we aimed to assess the possible influence on the ADC values of different patient-related factors, such as sex, body weight, age, imaging of the left and right side of the cerebral hemispheres and white vs grey matter regions. METHODS This retrospective study included cats undergoing an MRI (3T) examination with DWI sequences of the head at the Vetsuisse Faculty of the University Zurich between 2015 and 2021. Only cats with morphologically normal brains were included. On the ADC maps, 10 regions of interest (ROIs) were manually drawn on the following anatomical regions: caudate nucleus; internal capsule (two locations); piriform lobe; thalamus; hippocampus; cortex cerebri (two locations); cerebellar hemisphere; and one ROI in the centre of the cerebellar vermis. Except for the ROI at the cerebellar vermis, each ROI was drawn in the left and right hemisphere. The ADC values were calculated by the software and recorded. RESULTS A total of 129 cats were included in this study. The ADC varied in the different ROIs, with the highest mean ADC value in the hippocampus and the lowest in the cerebellar hemisphere. ADC was significantly lower in the white cerebral matter compared with the grey matter. ADC values were not influenced by age, with the exception of the hippocampus and the cingulate gyrus. CONCLUSION AND RELEVANCE ADC values of different anatomical regions of the morphologically normal feline brain in a patient population of 129 cats in a clinical setting are reported for the first time.
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Affiliation(s)
- Blanca Lindt
- Clinic for Diagnostic Imaging, Vetsuisse Faculty, University of Zurich, Zurich, Switzerland
| | - Henning Richter
- Clinic for Diagnostic Imaging, Vetsuisse Faculty, University of Zurich, Zurich, Switzerland
| | - Francesca Del Chicca
- Clinic for Diagnostic Imaging, Vetsuisse Faculty, University of Zurich, Zurich, Switzerland
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Syed Nasser N, Rajan S, Venugopal VK, Lasič S, Mahajan V, Mahajan H. A review on investigation of the basic contrast mechanism underlying multidimensional diffusion MRI in assessment of neurological disorders. J Clin Neurosci 2022; 102:26-35. [PMID: 35696817 DOI: 10.1016/j.jocn.2022.05.027] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2021] [Revised: 05/20/2022] [Accepted: 05/30/2022] [Indexed: 12/26/2022]
Abstract
INTRODUCTION Multidimensional diffusion MRI (MDD MRI) is a novel diffusion technique that uses advanced gradient waveforms for microstructural tissue characterization to provide information about average rate, anisotropy and orientation of the diffusion and to disentangle the signal fraction from specific cell types i.e., elongated cells, isotropic cells and free water. AIM To review the diagnostic potential of MDD MRI in the clinical setting for microstructural tissue characterization in patients with neurological disorders to aid in patient care and treatment. METHOD A scoping review on the clinical applications of MDD MRI was conducted from original articles published in PubMed and Scopus from 2015 to 2021 using the keywords "Multidimensional diffusion MRI" OR "diffusion tensor distribution" OR "Tensor-Valued Diffusion" OR "b-tensor encoding" OR "microscopic diffusion anisotropy" OR "microscopic anisotropy" OR "microscopic fractional anisotropy" OR "double diffusion encoding" OR "triple diffusion encoding" OR "double pulsed field gradients" OR "double wave vector" OR "correlation tensor imaging" AND "brain" OR "axons". RESULTS Initially 145 articles were screened and after applying inclusion and exclusion criteria, nine articles were included in the final analysis. In most of these studies, microscopic diffusion anisotropy within the lesion showed deviation from the normal-appearing tissue. CONCLUSION Multidimensional diffusion MRI can provide better quantification and visualization of tissue microstructure than conventional diffusion MRI and can be used in the clinical setting for diagnosis of neurological disorders.
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Affiliation(s)
| | - Sriram Rajan
- Department of Radiology, Mahajan Imaging, New Delhi, India
| | | | | | | | - Harsh Mahajan
- CARPL.ai, New Delhi, India; Department of Radiology, Mahajan Imaging, New Delhi, India
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Borgheresi A, De Muzio F, Agostini A, Ottaviani L, Bruno A, Granata V, Fusco R, Danti G, Flammia F, Grassi R, Grassi F, Bruno F, Palumbo P, Barile A, Miele V, Giovagnoni A. Lymph Nodes Evaluation in Rectal Cancer: Where Do We Stand and Future Perspective. J Clin Med 2022; 11:2599. [PMID: 35566723 PMCID: PMC9104021 DOI: 10.3390/jcm11092599] [Citation(s) in RCA: 25] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2022] [Revised: 04/25/2022] [Accepted: 05/03/2022] [Indexed: 12/12/2022] Open
Abstract
The assessment of nodal involvement in patients with rectal cancer (RC) is fundamental in disease management. Magnetic Resonance Imaging (MRI) is routinely used for local and nodal staging of RC by using morphological criteria. The actual dimensional and morphological criteria for nodal assessment present several limitations in terms of sensitivity and specificity. For these reasons, several different techniques, such as Diffusion Weighted Imaging (DWI), Intravoxel Incoherent Motion (IVIM), Diffusion Kurtosis Imaging (DKI), and Dynamic Contrast Enhancement (DCE) in MRI have been introduced but still not fully validated. Positron Emission Tomography (PET)/CT plays a pivotal role in the assessment of LNs; more recently PET/MRI has been introduced. The advantages and limitations of these imaging modalities will be provided in this narrative review. The second part of the review includes experimental techniques, such as iron-oxide particles (SPIO), and dual-energy CT (DECT). Radiomics analysis is an active field of research, and the evidence about LNs in RC will be discussed. The review also discusses the different recommendations between the European and North American guidelines for the evaluation of LNs in RC, from anatomical considerations to structured reporting.
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Affiliation(s)
- Alessandra Borgheresi
- Department of Clinical, Special and Dental Sciences, University Politecnica delle Marche, 60121 Ancona, Italy; (A.B.); (A.A.); (A.B.); (A.G.)
| | - Federica De Muzio
- Department of Medicine and Health Sciences “V. Tiberio”, University of Molise, 86100 Campobasso, Italy;
| | - Andrea Agostini
- Department of Clinical, Special and Dental Sciences, University Politecnica delle Marche, 60121 Ancona, Italy; (A.B.); (A.A.); (A.B.); (A.G.)
- Department of Radiological Sciences, University Hospital Ospedali Riuniti, 60126 Ancona, Italy;
- Italian Society of Medical and Interventional Radiology (SIRM), SIRM Foundation, 20122 Milan, Italy; (G.D.); (R.G.); (F.G.); (F.B.); (P.P.); (V.M.)
| | - Letizia Ottaviani
- Department of Radiological Sciences, University Hospital Ospedali Riuniti, 60126 Ancona, Italy;
| | - Alessandra Bruno
- Department of Clinical, Special and Dental Sciences, University Politecnica delle Marche, 60121 Ancona, Italy; (A.B.); (A.A.); (A.B.); (A.G.)
| | - Vincenza Granata
- Division of Radiology, Istituto Nazionale Tumori IRCCS Fondazione Pascale IRCCS di Napoli, 80131 Naples, Italy;
| | - Roberta Fusco
- Medical Oncology Division, Igea SpA, 80013 Napoli, Italy
| | - Ginevra Danti
- Italian Society of Medical and Interventional Radiology (SIRM), SIRM Foundation, 20122 Milan, Italy; (G.D.); (R.G.); (F.G.); (F.B.); (P.P.); (V.M.)
- Department of Radiology, Azienda Ospedaliero-Universitaria Careggi, Largo Brambilla 3, 50134 Florence, Italy;
| | - Federica Flammia
- Department of Radiology, Azienda Ospedaliero-Universitaria Careggi, Largo Brambilla 3, 50134 Florence, Italy;
| | - Roberta Grassi
- Italian Society of Medical and Interventional Radiology (SIRM), SIRM Foundation, 20122 Milan, Italy; (G.D.); (R.G.); (F.G.); (F.B.); (P.P.); (V.M.)
- Division of Radiology, Università degli Studi della Campania Luigi Vanvitelli, 80128 Naples, Italy
| | - Francesca Grassi
- Italian Society of Medical and Interventional Radiology (SIRM), SIRM Foundation, 20122 Milan, Italy; (G.D.); (R.G.); (F.G.); (F.B.); (P.P.); (V.M.)
- Division of Radiology, Università degli Studi della Campania Luigi Vanvitelli, 80128 Naples, Italy
| | - Federico Bruno
- Italian Society of Medical and Interventional Radiology (SIRM), SIRM Foundation, 20122 Milan, Italy; (G.D.); (R.G.); (F.G.); (F.B.); (P.P.); (V.M.)
- Department of Biotechnological and Applied Clinical Sciences, University of L’Aquila, 67100 L’Aquila, Italy;
| | - Pierpaolo Palumbo
- Italian Society of Medical and Interventional Radiology (SIRM), SIRM Foundation, 20122 Milan, Italy; (G.D.); (R.G.); (F.G.); (F.B.); (P.P.); (V.M.)
- Abruzzo Health Unit 1, Department of Diagnostic Imaging, Area of Cardiovascular and Interventional Imaging, 67100 L’Aquila, Italy
| | - Antonio Barile
- Department of Biotechnological and Applied Clinical Sciences, University of L’Aquila, 67100 L’Aquila, Italy;
| | - Vittorio Miele
- Italian Society of Medical and Interventional Radiology (SIRM), SIRM Foundation, 20122 Milan, Italy; (G.D.); (R.G.); (F.G.); (F.B.); (P.P.); (V.M.)
- Department of Radiology, Azienda Ospedaliero-Universitaria Careggi, Largo Brambilla 3, 50134 Florence, Italy;
| | - Andrea Giovagnoni
- Department of Clinical, Special and Dental Sciences, University Politecnica delle Marche, 60121 Ancona, Italy; (A.B.); (A.A.); (A.B.); (A.G.)
- Department of Radiological Sciences, University Hospital Ospedali Riuniti, 60126 Ancona, Italy;
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Xia Y, Wang L, Wu Z, Tan J, Fu M, Fu C, Pan Z, Zhu L, Yan F, Shen H, Ma Q, Cai G. Comparison of Computed and Acquired DWI in the Assessment of Rectal Cancer: Image Quality and Preoperative Staging. Front Oncol 2022; 12:788731. [PMID: 35371999 PMCID: PMC8971285 DOI: 10.3389/fonc.2022.788731] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2021] [Accepted: 02/18/2022] [Indexed: 11/13/2022] Open
Abstract
ObjectiveThe aim of the study was to evaluate the computed diffusion-weighted images (DWI) in image quality and diagnostic performance of rectal cancer by comparing with the acquired DWI.MethodsA total of 103 consecutive patients with primary rectal cancer were enrolled in this study. All patients underwent two DWI sequences, namely, conventional acquisition with b = 0 and 1,000 s/mm2 (aDWIb1,000) and another with b = 0 and 700 s/mm2 on a 3.0T MR scanner (MAGNETOM Prisma; Siemens Healthcare, Germany). The images (b = 0 and 700 s/mm2) were used to compute the diffusion images with b value of 1,000 s/mm2 (cDWIb1,000). Qualitative and quantitative analysis of both computed and acquired DWI images was performed, namely, signal-to-noise ratio (SNR), contrast-to-noise ratio (CNR), and signal intensity ratio (SIR), and also diagnostic staging performance. Interclass correlation coefficients, weighted κ coefficient, Friedman test, Wilcoxon paired test, and McNemar or Fisher test were used for repeatability and comparison assessment.ResultsCompared with the aDWIb1,000 images, the cDWIb1,000 ones exhibited significant higher scores of subjective image quality (all P <0.050). SNR, SIR, and CNR of the cDWIb1,000 images were superior to those of the aDWIb1,000 ones (P <0.001). The overall diagnostic accuracy of computed images was higher than that of the aDWIb1,000 images in T stage (P <0.001), with markedly better sensitivity and specificity in distinguishing T1–2 tumors from the T3–4 ones (P <0.050).ConclusioncDWIb1,000 images from lower b values might be a useful alternative option and comparable to the acquired DWI, providing better image quality and diagnostic performance in preoperative rectal cancer staging.
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Affiliation(s)
- Yihan Xia
- Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University of Medicine, Shanghai, China
| | - Lan Wang
- Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University of Medicine, Shanghai, China
| | - Zhiyuan Wu
- Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University of Medicine, Shanghai, China
| | - Jingwen Tan
- Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University of Medicine, Shanghai, China
| | - Meng Fu
- Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University of Medicine, Shanghai, China
| | - Caixia Fu
- Department of MR Application Development, Siemens Shenzhen Magnetic Resonance Ltd, Shenzhen, China
| | - Zilai Pan
- Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University of Medicine, Shanghai, China
| | - Lan Zhu
- Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University of Medicine, Shanghai, China
| | - Fuhua Yan
- Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University of Medicine, Shanghai, China
| | - Hailin Shen
- Department of Radiology, Suzhou Kowloon Hospital, Shanghai Jiao Tong University of Medicine, Suzhou, China
- *Correspondence: Gang Cai, ; Qianchen Ma, ; Hailin Shen,
| | - Qianchen Ma
- Department of Pathology, Ruijin Hospital, Shanghai Jiao Tong University of Medicine, Shanghai, China
- *Correspondence: Gang Cai, ; Qianchen Ma, ; Hailin Shen,
| | - Gang Cai
- Department of Radiation Oncology, Ruijin Hospital, Shanghai Jiao Tong University of Medicine, Shanghai, China
- *Correspondence: Gang Cai, ; Qianchen Ma, ; Hailin Shen,
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Liu R, Li J, Jiang Y, Wu Z, Ji J, Li A, Wang X, Li R. The utility of diffusion-weighted imaging and ADC values in the characterization of mumps orchitis and seminoma. Acta Radiol 2022; 63:416-423. [PMID: 33557577 DOI: 10.1177/0284185121991980] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
BACKGROUND Diffusion-weighted imaging (DWI) can quantitatively reflect the diffusion characteristics of tissues, providing a theoretical basis for qualitative diagnosis and quantitative analysis of a disease. PURPOSE To characterize testicular lesions that present as a hypointense signal on magnetic resonance imaging (MRI) T2-weighted images using DWI. MATERIAL AND METHODS Study participants were divided into three groups. Group A were healthy controls (n = 35), group B included patients with mumps orchitis (n = 20), and group C included patients with seminoma (n = 15). DWI sequences used b-values of 0, 1000, and 2000 s/mm2. Apparent diffusion coefficient (ADC) values between 1000 and 2000 s/mm2 were calculated by MRI postprocessing software. The Kruskal-Wallis test and receiver operating characteristic analysis were performed to evaluate how well ADC values distinguished between mumps orchitis and seminoma. RESULTS Normal testicular tissue showed a hyperintense signal on DWI and hypointensity on the ADC map: mean ADC value was 0.77 (0.69-0.85) ± 0.08 ×10-3 mm2/s. Mumps orchitis and seminoma showed slight hyperintensity on DWI: mean ADC values were 0.85 (0.71-0.99) ± 0.15 ×10-3 mm2/s and 0.43 (0.39-0.47) ± 0.04 × 10-3 mm2/s, respectively. There were statistically significant differences in mean ADC values between normal testicular tissue and seminoma and between mumps orchitis and seminoma. The cutoff ADC value for differentiating seminoma from mumps orchitis was 0.54 × 10-3 mm2/s. The sensitivity, specificity, and Youden Index for diagnosing seminoma were 99%, 31%, and 30%, respectively. CONCLUSION High b-value DWI has potential utility for differentiating mumps orchitis from seminoma in the clinical setting.
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Affiliation(s)
- Renwei Liu
- Department of Radiology, People’s Hospital of Longhua District, The Affiliated Hospital of Southern Medical University, Shenzhen, China
| | - Jianhua Li
- Department of Radiology, People’s Hospital of Longhua District, The Affiliated Hospital of Southern Medical University, Shenzhen, China
| | - Yixiang Jiang
- Department of Radiology, People’s Hospital of Longhua District, The Affiliated Hospital of Southern Medical University, Shenzhen, China
| | - Zhiqing Wu
- Department of Radiology, People’s Hospital of Longhua District, The Affiliated Hospital of Southern Medical University, Shenzhen, China
| | - Jiayin Ji
- Department of Radiology, People’s Hospital of Longhua District, The Affiliated Hospital of Southern Medical University, Shenzhen, China
| | - Aibo Li
- Department of Radiology, People’s Hospital of Longhua District, The Affiliated Hospital of Southern Medical University, Shenzhen, China
| | - Xiaoping Wang
- Department of Radiology, People’s Hospital of Longhua District, The Affiliated Hospital of Southern Medical University, Shenzhen, China
| | - Ruifeng Li
- Department of Radiology, People’s Hospital of Longhua District, The Affiliated Hospital of Southern Medical University, Shenzhen, China
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Dundar I, Ozgokce M, Durmaz F, Ozkacmaz S, Turkoglu S, Goya C. Efficiency of diffusion-weighted MRI for differentiating radiologically similar simple and type I hydatid cysts of the liver. Acta Radiol 2022; 63:143-148. [PMID: 33478235 DOI: 10.1177/0284185120988131] [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: 11/15/2022]
Abstract
BACKGROUND Determining the nature of purely cystic hepatic lesions is essential because different kinds have different follow-ups, treatment options, and complications. PURPOSE To explore the potential of apparent diffusion coefficient (ADC) values of diffusion-weighted imaging (DWI) for the differentiation of type I hydatid cysts (HC) and simple liver cysts (SLC), which have similar radiological appearances. MATERIAL AND METHODS This single-center prospective study was conducted during 2016-2019. Round, homogenous, anechoic liver cysts >1 cm were classified according to at least two years of imaging follow-up, radiological features, serology, as well as puncture aspiration injection reaspiration procedure and pathology results. ADC values of 95 cysts (50 type I HCs and 45 SLCs) were calculated on DWI. The differences in ADC values were analyzed by independent t-test. RESULTS Of 51 patients, 28 were female, 23 were male (mean age 32.07 ± 22.95 years; age range 5-82 years). Mean diameter of 45 SLCs was 2.59 ± 1.23 cm (range 1.2-7.6 cm) and ADCmean value was 3.03 ± 0.47 (range 2.64-5.85) while mean diameter of 50 type I HCs was 7.49 ± 2.95 cm (range 2.8-14 cm) and ADCmean value was 2.99 ± 0.29 (range 2.36-3.83). There was no statistically significant difference in ADC values between type I HCs and SLCs. CONCLUSION Some studies report that ADC values of type I HCs are statistically significantly lower than those of SLCs. Others suggest no significant difference. In our study with a higher number of cases, using ADC parameters similar to those in previous studies, we did not find any statistically significant difference.
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Affiliation(s)
- Ilyas Dundar
- Department of Radiology, Van Yuzuncu Yil University, Faculty of Medicine, Van, Turkey
| | - Mesut Ozgokce
- Department of Radiology, Van Yuzuncu Yil University, Faculty of Medicine, Van, Turkey
| | - Fatma Durmaz
- Department of Radiology, Van Yuzuncu Yil University, Faculty of Medicine, Van, Turkey
| | - Sercan Ozkacmaz
- Department of Radiology, Van Yuzuncu Yil University, Faculty of Medicine, Van, Turkey
| | - Saim Turkoglu
- Department of Radiology, Van Yuzuncu Yil University, Faculty of Medicine, Van, Turkey
| | - Cemil Goya
- Department of Radiology, Van Yuzuncu Yil University, Faculty of Medicine, Van, Turkey
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The role of "penumbra sign" and diffusion-weighted imaging in adnexal masses: do they provide a clue in differentiating tubo-ovarian abscess from ovarian malignancy? Pol J Radiol 2022; 86:e661-e671. [PMID: 35059059 PMCID: PMC8757038 DOI: 10.5114/pjr.2021.111986] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2021] [Accepted: 09/22/2021] [Indexed: 11/28/2022] Open
Abstract
Purpose To evaluate the role of “penumbra sign”, diffusion-weighted imaging (DWI), and the apparent diffusion coefficient (ADC) value in differentiating tubo-ovarian abscess (TOA) from ovarian malignancy. Material and methods Thirty-six patients with 50 adnexal masses (tubo-ovarian abscess, n = 24; ovarian malignancy, n = 26), who underwent magnetic resonance imaging (MRI) with DWI, were retrospectively evaluated. “Penumbra sign” (hyperintense rim on T1W images), diffusion restriction, and mean apparent diffusion coefficient (ADC) values from cystic (c-ADC) and solid (s-ADC) components were evaluated for all the masses. Results “Penumbra sign” on T1W images was significantly more common in the TOA group (n = 21, 87.5%) than in the ovarian malignancy group (n = 2, 7.7%) (p < 0.001). Similarly, diffusion restriction in the cystic component was more frequent in the TOA group (n = 24, 100% vs. n = 2, 10.5%; p < 0.001). In contrast, diffusion restriction in the solid component was more common in the ovarian malignancy group (n = 5, 20.8% vs. n = 26, 100%; p < 0.001). The mean c-ADC value was significantly lower in TOAs (p < 0.001). A c-ADC value of 1.31 × 10-3 mm2/s may be an optimal cut-off in distinguishing TOAs from ovarian malignancies. Conversely, the mean s-ADC value was significantly lower in the ovarian malignancy group (p < 0.001). An s-ADC value of 0.869 × 10-3 mm2/s may be an optimal cut-off in differentiating ovarian malignancies from TOAs (p < 0.001). ROC curve analysis showed that c-ADC values had a higher diagnostic accuracy than s-ADC values. Conclusions “Penumbra sign” on T1W images, diffusion characteristics, and ADC values provide important clues in addition to conventional MR imaging features in differentiating TOA from ovarian malignancy.
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Song C, Luo Y, Yu G, Chen H, Shen J. Current insights of applying MRI in Graves' ophthalmopathy. Front Endocrinol (Lausanne) 2022; 13:991588. [PMID: 36267571 PMCID: PMC9577927 DOI: 10.3389/fendo.2022.991588] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/11/2022] [Accepted: 08/30/2022] [Indexed: 11/23/2022] Open
Abstract
Graves' ophthalmopathy (GO) is an autoimmune disease related to Grave's disease (GD). The therapeutic strategies for GO patients are based on precise assessment of the activity and severity of the disease. However, the current assessment systems require development to accommodate updates in treatment protocols. As an important adjunct examination, magnetic resonance imaging (MRI) can help physicians evaluate GO more accurately. With the continuous updating of MRI technology and the deepening understanding of GO, the assessment of this disease by MRI has gone through a stage from qualitative to precise quantification, making it possible for clinicians to monitor the microstructural changes behind the eyeball and better integrate clinical manifestations with pathology. In this review, we use orbital structures as a classification to combine pathological changes with MRI features. We also review some MRI techniques applied to GO clinical practice, such as disease classification and regions of interest selection.
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Affiliation(s)
- Cheng Song
- Department of Endocrinology and Metabolism, Shunde Hospital of Southern Medical University (The First People’s Hospital of Shunde), Foshan, China
- The Second School of Clinical Medicine, Southern Medical University, Guangzhou, China
| | - Yaosheng Luo
- Department of Endocrinology and Metabolism, Shunde Hospital of Southern Medical University (The First People’s Hospital of Shunde), Foshan, China
- The Second School of Clinical Medicine, Southern Medical University, Guangzhou, China
| | - Genfeng Yu
- Department of Endocrinology and Metabolism, Shunde Hospital of Southern Medical University (The First People’s Hospital of Shunde), Foshan, China
- The Second School of Clinical Medicine, Southern Medical University, Guangzhou, China
| | - Haixiong Chen
- The Second School of Clinical Medicine, Southern Medical University, Guangzhou, China
- Department of Radiology, Shunde Hospital of Southern Medical University (The First People’s Hospital of Shunde), Foshan, China
- *Correspondence: Jie Shen, ; Haixiong Chen,
| | - Jie Shen
- Department of Endocrinology and Metabolism, Shunde Hospital of Southern Medical University (The First People’s Hospital of Shunde), Foshan, China
- The Second School of Clinical Medicine, Southern Medical University, Guangzhou, China
- *Correspondence: Jie Shen, ; Haixiong Chen,
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Wang W, Sun Z, Chen Y, Zhao F, Yu H, Guo X, Shi K. Testicular tumors: discriminative value of conventional MRI and diffusion weighted imaging. Medicine (Baltimore) 2021; 100:e27799. [PMID: 35049179 PMCID: PMC9191385 DOI: 10.1097/md.0000000000027799] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/24/2020] [Accepted: 10/28/2021] [Indexed: 01/08/2023] Open
Abstract
To explore the feasibility of using conventional MRI features combined with apparent diffusion coefficient (ADC) values for the differential diagnosis of testicular tumors.A total of 63 patients with pathologically confirmed testicular tumors were enrolled in this study. In particular, there were 46 cases of malignant lesions and 17 cases of benign lesions. All patients underwent conventional magnetic resonance imaging (MRI) and diffusion weighted imaging. Multivariate logistic regression models and receiver operating characteristic curves were constructed to assess diagnostic accuracies.T2-homogeneity, intratumoral septa, and peritumoral infiltration were more common in the malignant group, and capsule sign was more common in the benign group (P < .05 for all). The mean ADC value of the malignant group was lower than that of the benign group (P < .05). When the ADC value ≤ 0.90 × 10-3 mm2/s, the diagnosis tended to be malignancy. The conventional MRI model could achieve better diagnostic accuracy than ADC values alone (P < .05). Compared with the conventional MRI model, the specificity and accuracy of the full model (ADC and conventional MRI model) increased by 9.8% and 3.2%, respectively. T2-homogeneity and T2-hypointensity were more common in seminoma and lymphoma, cystic changes were more common in nonseminomatous germ cell tumor (NSGCT), and intratumoral septa was more common in seminoma (P < .05 for all). The ADC value of NSGCT was larger than seminoma, and lymphoma was the smallest (P < .05 for all). Cystic changes, T2-hypointensity, intratumoral septa, and ADC value were independent factors for differentiating the seminoma, NSGCT, and lymphoma subgroups.A combination of conventional MRI features and ADC values can improve the diagnostic efficiency for differentiating benign and malignant testicular tumors, and can additionally distinguish different subtypes of malignant testicular tumors.
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Kolta MFF, El Rheem NKA, Ibrahim AF, El-Mageed MRA. The role of MRI in comparison between benign and malignant chest wall masses in correlation with pathology. THE EGYPTIAN JOURNAL OF RADIOLOGY AND NUCLEAR MEDICINE 2021. [DOI: 10.1186/s43055-021-00449-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
Abstract
Abstract
Background
Tumors that arise from the chest wall (including bone structures such as the sternum, clavicle, scapula, and ribs) or from adjacent soft tissues are less common than other parts of the body, and so the resulting unfamiliarity can make it difficult to limit the number of possible diagnoses. These tumors have a wide range of possibilities, including primary chest wall tumors arising from the bone or soft tissue, which are subdivided into malignant and benign tumors, and the secondary metastatic deposits. The aim of the study is to investigate the ability of MRI with diffusion sequence in differentiation between benign and malignant chest wall masses, which is subsequently reflected in the management of chest wall masses patients.
Main body
MRI has superior soft-tissue resolution and value for local assessment of primary tumors and accurate tissue characterization and plays a key role in preoperative staging to assess for multi-spatial and multi-compartment involvement. ADC values were obtained in 31 patients, and the mean ADC values of benign (13 patients) chest wall masses were 1.31 ± 0.50 × 10−3 mm2/s while the mean ADC values of the malignant (18 patients) chest wall masses were 0.98 ± 0.36 × 10−3 mm2/s. There was a statistically significant difference between the ADC values obtained from the malignant and benign chest wall masses (P < 0.001).
Conclusion
This study demonstrates that diffusion-weighted MR imaging is a growing imaging modality to predict the histopathological differentiation of malignant from benign chest wall masses.
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Sabri YY, Mahmoud IH, El-Gendy LT, Abd El-Mageed MR, Tadros SF. Added value of diffusion-weighted MRI in assessment of pleural lesions. THE EGYPTIAN JOURNAL OF RADIOLOGY AND NUCLEAR MEDICINE 2021. [DOI: 10.1186/s43055-021-00557-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
Abstract
Abstract
Background
There are many causes of pleural disease including variable benign and malignant etiologies. DWI is a non-enhanced functional MRI technique that allows qualitative and quantitative characterization of tissues based on their water molecules diffusivity. The aim of this study was to evaluate the diagnostic value of DWI-MRI in detection and characterization of pleural diseases and its capability in differentiating benign from malignant pleural lesions.
Results
Conventional MRI was able to discriminate benign from malignant lesions by using morphological features (contour and thickness) with sensitivity 89.29%, specificity 76%, positive predictive value 89%, negative predictive value 76.92%, and accuracy 85.37%. ADC value as a quantitative parameter of DWI found that ADC values of malignant pleural diseases were significantly lower than that of benign lesions (P < 0.001). Hence, we discovered that using ADC mean value of 1.68 × 10-3 mm2/s as a cutoff value can differentiate malignant from benign pleural diseases with sensitivity 89.3%, specificity 100%, positive predictive value 100%, negative predictive value 81.2%, and accuracy 92.68% (P < 0.001).
Conclusion
Although DWI-MRI is unable to differentiate between malignant and benign pleural effusion, its combined morphological and functional information provide valid non-invasive method to accurately characterize pleural soft tissue diseases differentiating benign from malignant lesions with higher specificity and accuracy than conventional MRI.
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Wang SH, Han XJ, Du J, Wang ZC, Yuan C, Chen Y, Zhu Y, Dou X, Xu XW, Xu H, Yang ZH. Saliency-based 3D convolutional neural network for categorising common focal liver lesions on multisequence MRI. Insights Imaging 2021; 12:173. [PMID: 34817732 PMCID: PMC8613326 DOI: 10.1186/s13244-021-01117-z] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2021] [Accepted: 10/26/2021] [Indexed: 12/12/2022] Open
Abstract
Background The imaging features of focal liver lesions (FLLs) are diverse and complex. Diagnosing FLLs with imaging alone remains challenging. We developed and validated an interpretable deep learning model for the classification of seven categories of FLLs on multisequence MRI and compared the differential diagnosis between the proposed model and radiologists. Methods In all, 557 lesions examined by multisequence MRI were utilised in this retrospective study and divided into training–validation (n = 444) and test (n = 113) datasets. The area under the receiver operating characteristic curve (AUC) was calculated to evaluate the performance of the model. The accuracy and confusion matrix of the model and individual radiologists were compared. Saliency maps were generated to highlight the activation region based on the model perspective. Results The AUC of the two- and seven-way classifications of the model were 0.969 (95% CI 0.944–0.994) and from 0.919 (95% CI 0.857–0.980) to 0.999 (95% CI 0.996–1.000), respectively. The model accuracy (79.6%) of the seven-way classification was higher than that of the radiology residents (66.4%, p = 0.035) and general radiologists (73.5%, p = 0.346) but lower than that of the academic radiologists (85.4%, p = 0.291). Confusion matrices showed the sources of diagnostic errors for the model and individual radiologists for each disease. Saliency maps detected the activation regions associated with each predicted class. Conclusion This interpretable deep learning model showed high diagnostic performance in the differentiation of FLLs on multisequence MRI. The analysis principle contributing to the predictions can be explained via saliency maps. Supplementary Information The online version contains supplementary material available at 10.1186/s13244-021-01117-z.
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Affiliation(s)
- Shu-Hui Wang
- Department of Radiology, Beijing Friendship Hospital, Capital Medical University, No. 95 Yongan Road, Xicheng District, Beijing, 100050, People's Republic of China.,Department of Radiology, Weihai Municipal Hospital, Cheeloo College of Medicine, Shandong University, Weihai, Shandong Province, People's Republic of China
| | - Xin-Jun Han
- Department of Radiology, Beijing Friendship Hospital, Capital Medical University, No. 95 Yongan Road, Xicheng District, Beijing, 100050, People's Republic of China
| | - Jing Du
- Department of Radiology, Beijing Friendship Hospital, Capital Medical University, No. 95 Yongan Road, Xicheng District, Beijing, 100050, People's Republic of China
| | - Zhen-Chang Wang
- Department of Radiology, Beijing Friendship Hospital, Capital Medical University, No. 95 Yongan Road, Xicheng District, Beijing, 100050, People's Republic of China
| | - Chunwang Yuan
- Center of Interventional Oncology and Liver Diseases, Beijing Youan Hospital, Capital Medical University, Beijing, People's Republic of China
| | - Yinan Chen
- SenseTime Research, SenseTime, Shanghai, People's Republic of China.,WCH-SenseTime Joint Lab, SenseTime, Shanghai, Sichuan, People's Republic of China
| | - Yajing Zhu
- SenseTime Research, SenseTime, Shanghai, People's Republic of China
| | - Xin Dou
- SenseBrain Technology, SenseTime, Princeton, NJ, 08540, USA
| | - Xiao-Wei Xu
- SenseTime Research, SenseTime, Shanghai, People's Republic of China
| | - Hui Xu
- Department of Radiology, Beijing Friendship Hospital, Capital Medical University, No. 95 Yongan Road, Xicheng District, Beijing, 100050, People's Republic of China.
| | - Zheng-Han Yang
- Department of Radiology, Beijing Friendship Hospital, Capital Medical University, No. 95 Yongan Road, Xicheng District, Beijing, 100050, People's Republic of China.
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Zhou Y, Yang R, Wang Y, Zhou M, Zhou X, Xing J, Wang X, Zhang C. Histogram analysis of diffusion-weighted magnetic resonance imaging as a biomarker to predict LNM in T3 stage rectal carcinoma. BMC Med Imaging 2021; 21:176. [PMID: 34809615 PMCID: PMC8609786 DOI: 10.1186/s12880-021-00706-0] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2021] [Accepted: 11/08/2021] [Indexed: 01/21/2023] Open
Abstract
BACKGROUND Preoperative identification of rectal cancer lymph node status is crucial for patient prognosis and treatment decisions. Rectal magnetic resonance imaging (MRI) plays an essential role in the preoperative staging of rectal cancer, but its ability to predict lymph node metastasis (LNM) is insufficient. This study explored the value of histogram features of primary lesions on multi-parametric MRI for predicting LNM of stage T3 rectal carcinoma. METHODS We retrospectively analyzed 175 patients with stage T3 rectal cancer who underwent preoperative MRI, including diffusion-weighted imaging (DWI) before surgery. 62 patients were included in the LNM group, and 113 patients were included in the non-LNM group. Texture features were calculated from histograms derived from T2 weighted imaging (T2WI), DWI, ADC, and T2 maps. Stepwise logistic regression analysis was used to screen independent predictors of LNM from clinical features, imaging features, and histogram features. Predictive performance was evaluated by receiver operating characteristic (ROC) curve analysis. Finally, a nomogram was established for predicting the risk of LNM. RESULTS The clinical, imaging and histogram features were analyzed by stepwise logistic regression. Preoperative carbohydrate antigen 199 level (p = 0.009), MRN stage (p < 0.001), T2WIKurtosis (p = 0.010), DWIMode (p = 0.038), DWICV (p = 0.038), and T2-mapP5 (p = 0.007) were independent predictors of LNM. These factors were combined to form the best predictive model. The model reached an area under the ROC curve (AUC) of 0.860, with a sensitivity of 72.8% and a specificity of 85.5%. CONCLUSION The histogram features on multi-parametric MRI of the primary tumor in rectal cancer were related to LN status, which is helpful for improving the ability to predict LNM of stage T3 rectal cancer.
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Affiliation(s)
- Yang Zhou
- Department of Radiology, Harbin Medical University Cancer Hospital, No. 150, Haping Road, Nangang District, Harbin, 150001, Heilongjiang Province, China
| | - Rui Yang
- Department of Gastrointestinal Medical Oncology, Harbin Medical University Cancer Hospital, No.150 Haping Road, Nangang District, Harbin, 150081, Heilongjiang Province, China
| | - Yuan Wang
- Department of Gastrointestinal Medical Oncology, Harbin Medical University Cancer Hospital, No.150 Haping Road, Nangang District, Harbin, 150081, Heilongjiang Province, China
| | - Meng Zhou
- Department of Gastrointestinal Medical Oncology, Harbin Medical University Cancer Hospital, No.150 Haping Road, Nangang District, Harbin, 150081, Heilongjiang Province, China
| | - Xueyan Zhou
- School of Technology, Harbin University, Harbin, Heilongjiang Province, China
| | - JiQing Xing
- Department of Physical Education, Harbin Engineering University, Harbin, 150001, Heilongjiang Province, China
| | - Xinxin Wang
- Department of Radiology, Harbin Medical University Cancer Hospital, No. 150, Haping Road, Nangang District, Harbin, 150001, Heilongjiang Province, China.
| | - Chunhui Zhang
- Department of Gastrointestinal Medical Oncology, Harbin Medical University Cancer Hospital, No.150 Haping Road, Nangang District, Harbin, 150081, Heilongjiang Province, China.
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Cai W, Min X, Chen D, Fan C, Feng Z, Li B, Zhang P, You H, Xie J, Liu J, Wang L. Noninvasive Differentiation of Obstructive Azoospermia and Nonobstructive Azoospermia Using Multimodel Diffusion Weighted Imaging. Acad Radiol 2021; 28:1375-1382. [PMID: 32622745 DOI: 10.1016/j.acra.2020.05.039] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2020] [Revised: 05/13/2020] [Accepted: 05/30/2020] [Indexed: 10/23/2022]
Abstract
RATIONALE AND OBJECTIVES To evaluate the diagnostic performance of parameters derived from multimodel diffusion weighted imaging (monoexponential, stretched-exponential diffusion weighted imaging and diffusion kurtosis imaging [DKI]) from noninvasive magnetic resonance imaging in distinguishing obstructive azoospermia (OA) from nonobstructive azoospermia (NOA). MATERIALS AND METHODS Forty-six patients with azoospermia were prospectively enrolled and classified into two groups (21 OA patients and 25 NOA patients). The multimodel parameters of diffusion-weighted imaging (DWI; apparent diffusion coefficient [ADC], distributed diffusion coefficient [DDC], diffusion heterogeneity [α], diffusion kurtosis diffusivity [Dapp], and diffusion kurtosis coefficient [Kapp]) were derived. The diagnostic performance of these parameters for the differentiation of OA and NOA patients were evaluated using receiver operating characteristic analysis. The area under the curve (AUC) was calculated to evaluate the diagnostic accuracy of each parameter. RESULTS All the parameters (ADC, α, DDC, Dapp, and Kapp) values were significantly different between OA and NOA (P < 0.001 for all). For the differentiation of OA from NOA, Kapp showed the highest AUC value (0.965), followed by DDC (0.946), Dapp (0.933), ADC (0.922), and α (0.887). Kapp had a significantly higher AUC than the conventional ADC (P < 0.05). CONCLUSION Parameters derived from multimodels of DWI have the potential for the noninvasive differentiation of OA and NOA. The Kapp value derived from the DKI model might serve as a useful imaging marker for the differentiation of azoospermia.
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Hernando D, Zhang Y, Pirasteh A. Quantitative diffusion MRI of the abdomen and pelvis. Med Phys 2021; 49:2774-2793. [PMID: 34554579 DOI: 10.1002/mp.15246] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2021] [Revised: 08/05/2021] [Accepted: 09/15/2021] [Indexed: 12/14/2022] Open
Abstract
Diffusion MRI has enormous potential and utility in the evaluation of various abdominal and pelvic disease processes including cancer and noncancer imaging of the liver, prostate, and other organs. Quantitative diffusion MRI is based on acquisitions with multiple diffusion encodings followed by quantitative mapping of diffusion parameters that are sensitive to tissue microstructure. Compared to qualitative diffusion-weighted MRI, quantitative diffusion MRI can improve standardization of tissue characterization as needed for disease detection, staging, and treatment monitoring. However, similar to many other quantitative MRI methods, diffusion MRI faces multiple challenges including acquisition artifacts, signal modeling limitations, and biological variability. In abdominal and pelvic diffusion MRI, technical acquisition challenges include physiologic motion (respiratory, peristaltic, and pulsatile), image distortions, and low signal-to-noise ratio. If unaddressed, these challenges lead to poor technical performance (bias and precision) and clinical outcomes of quantitative diffusion MRI. Emerging and novel technical developments seek to address these challenges and may enable reliable quantitative diffusion MRI of the abdomen and pelvis. Through systematic validation in phantoms, volunteers, and patients, including multicenter studies to assess reproducibility, these emerging techniques may finally demonstrate the potential of quantitative diffusion MRI for abdominal and pelvic imaging applications.
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Affiliation(s)
- Diego Hernando
- Departments of Radiology and Medical Physics, University of Wisconsin-Madison, Madison, Wisconsin, USA
| | - Yuxin Zhang
- Departments of Radiology and Medical Physics, University of Wisconsin-Madison, Madison, Wisconsin, USA
| | - Ali Pirasteh
- Departments of Radiology and Medical Physics, University of Wisconsin-Madison, Madison, Wisconsin, USA
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Kim SY, Beer M, Tshering Vogel DW. Imaging in head and neck cancers: Update for non-radiologist. Oral Oncol 2021; 120:105434. [PMID: 34218063 DOI: 10.1016/j.oraloncology.2021.105434] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2021] [Revised: 06/14/2021] [Accepted: 06/22/2021] [Indexed: 12/24/2022]
Abstract
Head and neck cancer (HNC) is the fifth most frequent cancer worldwide and associated with significant morbidity. Along with clinical examination and endoscopic evaluation, imaging plays an important role in pre- and posttherapeutic evaluation of patients with HNC. Cross-sectional Imaging techniques such as computed tomography (CT), magnetic resonance imaging (MRI) and positron emission tomography / computed tomography (PET/CT) are routinely used in the assessment of these patients. This review provides an overview of the various cross-sectional imaging modalities used in the evaluation of HNC and will give a short summary of the latest imaging technologies regarding head and neck cancer diagnosis.
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Affiliation(s)
- Soung Yung Kim
- Department of Diagnostic and Interventional Radiology, University Hospital Ulm, Ulm, Germany.
| | - Meinrad Beer
- Department of Diagnostic and Interventional Radiology, University Hospital Ulm, Ulm, Germany
| | - Dechen W Tshering Vogel
- University Institute for Diagnostic, Interventional and Paediatric Radiology, Inselspital University Hospital Bern, University of Bern, Freiburgstrasse 10, Bern 3010, Switzerland
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Wang Z, Han C, Xu Y, Yu X, Kang W, Xiang Y, Yuan Y, Li L, Wang M. The role of prostate-specific antigen and multiparametric magnetic resonance imaging in the diagnosis of granulomatous prostatitis induced by intravesical Bacillus Calmette-Guérin vaccine therapy in patients with nonmuscle invasive bladder cancer. J Cancer Res Ther 2021; 17:625-629. [PMID: 34269291 DOI: 10.4103/jcrt.jcrt_1684_20] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
AIMS This study aimed to evaluate the role of serum prostate-specific antigen (PSA) levels and multiparametric magnetic resonance imaging (mpMRI) in the diagnosis of granulomatous prostatitis (GP) induced by intravesical Bacillus Calmette-Guérin vaccine (BCG) therapy in patients with nonmuscle invasive bladder cancer (NMIBC). SUBJECTS AND METHODS We retrospectively analyzed eight patients with bladder cancer who underwent intravesical BCG therapy after transurethral resection of bladder tumor (TURBt) cancer. All these eight patients received 12-core transrectal ultrasound-guided prostate systemic biopsies. Clinical data on PSA with T1-weighted imaging (T1WI), T2WI, diffusion-weighted imaging (DWI), and apparent diffusion coefficient (ADC) on mpMRI were enrolled in the study. H and E and acid-fast staining was performed to pathologically prove GP. RESULTS Four of all eight cases were above 4 ng/ml total PSA (tPSA) levels and four cases were within normal ranges, while free PSA/tPSA levels decreased to lower than 16% in all patients. Every patient had hard prostatic nodules through digital rectal examination (DRE). All characters of prostate mpMRI did not show signal intensity (SI) of prostate cancer before BCG therapy but showed abnormal signals after BCG therapy. All nodular lesions showed equal SI on T1WI, lower SI on T2WI, higher SI on DWI, and lower SI on ADC after BCG therapy. Pathologic results were GP and acid-fast staining outcomes were positive in all biopsies. CONCLUSIONS Perioperative serum PSA levels, prostate magnetic resonance imaging, and DRE may help in the diagnosis of GP induced by intravesical BCG therapy. In general, male patients with middle- and high-risk NMIBC are recommended to undertake DRE, PSA, and prostate mpMRI, if possible, before and after TURBt."
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Affiliation(s)
- Zilong Wang
- Department of Urology, Cheeloo College of Medicine, Shandong Provincial Hospital, Shandong University, Jinan, Shandong, China
| | - Chenglin Han
- Department of Urology, Cheeloo College of Medicine, Shandong Provincial Hospital, Shandong University, Jinan, Shandong, China
| | - Yingkun Xu
- Department of Urology, Cheeloo College of Medicine, Shandong Provincial Hospital, Shandong University, Jinan, Shandong, China
| | - Xiao Yu
- Department of Urology, Cheeloo College of Medicine, Shandong Provincial Hospital, Shandong University; Department of Urology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
| | - Weiting Kang
- Department of Urology, Cheeloo College of Medicine, Shandong Provincial Hospital, Shandong University, Jinan, Shandong, China
| | - Yuzhu Xiang
- Department of Urology, Cheeloo College of Medicine, Shandong Provincial Hospital, Shandong University; Department of Urology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
| | - Yanhua Yuan
- Department of Urology, Cheeloo College of Medicine, Shandong Provincial Hospital, Shandong University; Department of Urology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
| | - Lianjun Li
- Department of Urology, Cheeloo College of Medicine, Shandong Provincial Hospital, Shandong University; Department of Urology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
| | - Muwen Wang
- Department of Urology, Cheeloo College of Medicine, Shandong Provincial Hospital, Shandong University; Department of Urology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
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Jang JK, Lee CM, Park SH, Kim JH, Kim J, Lim SB, Yu CS, Kim JC. How to Combine Diffusion-Weighted and T2-Weighted Imaging for MRI Assessment of Pathologic Complete Response to Neoadjuvant Chemoradiotherapy in Patients with Rectal Cancer? Korean J Radiol 2021; 22:1451-1461. [PMID: 34132075 PMCID: PMC8390818 DOI: 10.3348/kjr.2020.1403] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2020] [Revised: 02/12/2021] [Accepted: 03/17/2021] [Indexed: 12/14/2022] Open
Abstract
OBJECTIVE Adequate methods of combining T2-weighted imaging (T2WI) and diffusion-weighted imaging (DWI) to assess complete response (CR) to chemoradiotherapy (CRT) for rectal cancer are obscure. We aimed to determine an algorithm for combining T2WI and DWI to optimally suggest CR on MRI using visual assessment. MATERIALS AND METHODS We included 376 patients (male:female, 256:120; mean age ± standard deviation, 59.7 ± 11.1 years) who had undergone long-course CRT for rectal cancer and both pre- and post-CRT high-resolution rectal MRI during 2017-2018. Two experienced radiologists independently evaluated whether a tumor signal was absent, representing CR, on both post-CRT T2WI and DWI, and whether the pre-treatment DWI showed homogeneous hyperintensity throughout the lesion. Algorithms for combining T2WI and DWI were as follows: 'AND,' if both showed CR; 'OR,' if any one showed CR; and 'conditional OR,' if T2WI showed CR or DWI showed CR after the pre-treatment DWI showed homogeneous hyperintensity. Their efficacies for diagnosing pathologic CR (pCR) were determined in comparison with T2WI alone. RESULTS Sixty-nine patients (18.4%) had pCR. AND had a lower sensitivity without statistical significance (vs. 62.3% [43/69]; 59.4% [41/69], p = 0.500) and a significantly higher specificity (vs. 87.0% [267/307]; 90.2% [277/307], p = 0.002) than those of T2WI. Both OR and conditional OR combinations resulted in a large increase in sensitivity (vs. 62.3% [43/69]; 81.2% [56/69], p < 0.001; and 73.9% [51/69], p = 0.008, respectively) and a large decrease in specificity (vs. 87.0% [267/307]; 57.0% [175/307], p < 0.001; and 69.1% [212/307], p < 0.001, respectively) as compared with T2WI, ultimately creating additional false interpretations of CR more frequently than additional identification of patients with pCR. CONCLUSION AND combination of T2WI and DWI is an appropriate strategy for suggesting CR using visual assessment of MRI after CRT for rectal cancer.
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Affiliation(s)
- Jong Keon Jang
- Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea
| | - Chul-Min Lee
- Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea
| | - Seong Ho Park
- Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea.
| | - Jong Hoon Kim
- Department of Radiation Oncology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea
| | - Jihun Kim
- Department of Pathology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea
| | - Seok-Byung Lim
- Division of Colon and Rectal Surgery, Department of Surgery, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea
| | - Chang Sik Yu
- Division of Colon and Rectal Surgery, Department of Surgery, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea
| | - Jin Cheon Kim
- Division of Colon and Rectal Surgery, Department of Surgery, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea
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Scialpi M, Scialpi P, Martorana E, Torre R, Improta A, Aisa MC, D’Andrea A, Di Blasi A. Simplified PI-RADS (S-PI-RADS) for biparametric MRI to detect and manage prostate cancer: What urologists need to know. Turk J Urol 2021; 47:175-182. [PMID: 35929870 PMCID: PMC8260088 DOI: 10.5152/tud.2021.21004] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2021] [Accepted: 04/09/2021] [Indexed: 09/14/2023]
Abstract
Biparametric magnetic resonance imaging (bpMRI) of the prostate has emerged as an alternative to multiparametric MRI (mpMRI) for the detection of clinically significant prostate cancer (csPCa). However, while the Prostate Imaging Reporting and Data System (PI-RADS) is widely known for mpMRI, a proper PI-RADS for bpMRI has not yet been adopted. In this review, we report the current status and the future directions of bpMRI, and propose a simplified PI-RADS (S-PI-RADS) that could help radiologists and urologists in the detection and management of PCa.
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Affiliation(s)
- Michele Scialpi
- Division of Diagnostic Imaging, Department of Medicine and Surgery, University of Perugia, Santa Maria della Misericordia Hospital, Perugia, Italy
| | - Pietro Scialpi
- Division of Urology, Portogruaro Hospital, Venice, Italy
| | | | - Riccardo Torre
- Division of Radiology, Ospedale Santa Maria, Terni, Italy
| | - Antonio Improta
- Division of Diagnostic Imaging, Department of Medicine and Surgery, University of Perugia, Santa Maria della Misericordia Hospital, Perugia, Italy
| | - Maria Cristina Aisa
- Division of Obstetrics and Gynaecology, Department of Medicine and Surgery, University of Perugia, Santa Maria della Misericordia Hospital, Perugia, Italy
| | | | - Aldo Di Blasi
- Division of Radiology, Tivoli Hospital, Tivoli, Italy
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Sekito T, Ishii Y, Serikawa M, Tsuboi T, Kawamura R, Tsushima K, Nakamura S, Hirano T, Fukiage A, Mori T, Ikemoto J, Kiyoshita Y, Saeki S, Tamura Y, Miyamoto S, Chayama K. The role of apparent diffusion coefficient value in the diagnosis of localized type 1 autoimmune pancreatitis: differentiation from pancreatic ductal adenocarcinoma and evaluation of response to steroids. Abdom Radiol (NY) 2021; 46:2014-2024. [PMID: 33386451 DOI: 10.1007/s00261-020-02907-7] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2020] [Revised: 12/05/2020] [Accepted: 12/07/2020] [Indexed: 12/14/2022]
Abstract
PURPOSE The aim of this study was to clarify the usefulness of the apparent diffusion coefficient (ADC) value in the differential diagnosis of localized autoimmune pancreatitis (AIP) and pancreatic ductal adenocarcinoma (PDAC) and the evaluation of response to steroids. METHODS This study retrospectively analyzed 40 patients with localized AIP and 71 patients with PDAC who underwent abdominal MRI with DWI (b = 0 and 1000 s/mm2). Their ADC values at the lesion sites and five MRI findings useful for diagnosing AIP were evaluated. In addition, ADC values before and after steroid therapy were compared in 28 patients with localized AIP. RESULTS The median ADC value was significantly lower for localized AIP than for PDAC (1.057 × 10-3 vs 1.376 × 10-3 mm2/s, P < 0.001). In the ROC curve analysis, the area under the curve was 0.957 and optimal cut-off value of ADC for differentiating localized AIP from PDAC was 1.188 × 10-3 mm2/s. ADC value ≤ 1.188 × 10-3 mm2/s showed the highest sensitivity and accuracy among the MRI findings (92.6% and 90.7%, respectively), and when combined with one or more other MRI findings, showed 96.3% specificity. The median ADC values before and after steroid therapy (mean 7.9 days) were 1.061 × 10-3 and 1.340 × 10-3 mm2/s, respectively, and ADC values were significantly elevated after steroid induction (P < 0.001). CONCLUSION The measurement of ADC values was useful for the differential diagnosis of localized AIP and PDAC and for the early determination of the effect of steroid therapy.
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Affiliation(s)
- Tsuyoshi Sekito
- Department of Gastroenterology and Metabolism, Graduate School of Biomedical & Health Sciences, Hiroshima University, 1-2-3 Kasumi, Minami-ku, Hiroshima, 734-8551, Japan
| | - Yasutaka Ishii
- Department of Gastroenterology and Metabolism, Graduate School of Biomedical & Health Sciences, Hiroshima University, 1-2-3 Kasumi, Minami-ku, Hiroshima, 734-8551, Japan.
| | - Masahiro Serikawa
- Department of Gastroenterology and Metabolism, Graduate School of Biomedical & Health Sciences, Hiroshima University, 1-2-3 Kasumi, Minami-ku, Hiroshima, 734-8551, Japan
| | - Tomofumi Tsuboi
- Department of Gastroenterology and Metabolism, Graduate School of Biomedical & Health Sciences, Hiroshima University, 1-2-3 Kasumi, Minami-ku, Hiroshima, 734-8551, Japan
| | - Ryota Kawamura
- Department of Gastroenterology and Metabolism, Graduate School of Biomedical & Health Sciences, Hiroshima University, 1-2-3 Kasumi, Minami-ku, Hiroshima, 734-8551, Japan
| | - Ken Tsushima
- Department of Gastroenterology and Metabolism, Graduate School of Biomedical & Health Sciences, Hiroshima University, 1-2-3 Kasumi, Minami-ku, Hiroshima, 734-8551, Japan
| | - Shinya Nakamura
- Department of Gastroenterology and Metabolism, Graduate School of Biomedical & Health Sciences, Hiroshima University, 1-2-3 Kasumi, Minami-ku, Hiroshima, 734-8551, Japan
| | - Tetsuro Hirano
- Department of Gastroenterology and Metabolism, Graduate School of Biomedical & Health Sciences, Hiroshima University, 1-2-3 Kasumi, Minami-ku, Hiroshima, 734-8551, Japan
| | - Ayami Fukiage
- Department of Gastroenterology and Metabolism, Graduate School of Biomedical & Health Sciences, Hiroshima University, 1-2-3 Kasumi, Minami-ku, Hiroshima, 734-8551, Japan
| | - Takeshi Mori
- Department of Gastroenterology and Metabolism, Graduate School of Biomedical & Health Sciences, Hiroshima University, 1-2-3 Kasumi, Minami-ku, Hiroshima, 734-8551, Japan
| | - Juri Ikemoto
- Department of Gastroenterology and Metabolism, Graduate School of Biomedical & Health Sciences, Hiroshima University, 1-2-3 Kasumi, Minami-ku, Hiroshima, 734-8551, Japan
| | - Yusuke Kiyoshita
- Department of Gastroenterology and Metabolism, Graduate School of Biomedical & Health Sciences, Hiroshima University, 1-2-3 Kasumi, Minami-ku, Hiroshima, 734-8551, Japan
| | - Sho Saeki
- Department of Gastroenterology and Metabolism, Graduate School of Biomedical & Health Sciences, Hiroshima University, 1-2-3 Kasumi, Minami-ku, Hiroshima, 734-8551, Japan
| | - Yosuke Tamura
- Department of Gastroenterology and Metabolism, Graduate School of Biomedical & Health Sciences, Hiroshima University, 1-2-3 Kasumi, Minami-ku, Hiroshima, 734-8551, Japan
| | - Sayaka Miyamoto
- Department of Gastroenterology and Metabolism, Graduate School of Biomedical & Health Sciences, Hiroshima University, 1-2-3 Kasumi, Minami-ku, Hiroshima, 734-8551, Japan
| | - Kazuaki Chayama
- Department of Gastroenterology and Metabolism, Graduate School of Biomedical & Health Sciences, Hiroshima University, 1-2-3 Kasumi, Minami-ku, Hiroshima, 734-8551, Japan
- Research Center for Hepatology and Gastroenterology, Hiroshima University, Hiroshima, Japan
- RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
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Unenhanced MRI of the abdomen and pelvis for surveillance of patients with stage 1 testicular cancer post-radical orchiectomy. Abdom Radiol (NY) 2021; 46:1157-1162. [PMID: 32901295 DOI: 10.1007/s00261-020-02715-z] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2020] [Revised: 08/11/2020] [Accepted: 08/21/2020] [Indexed: 10/23/2022]
Abstract
OBJECTIVE To evaluate the ability of unenhanced magnetic resonance imaging (MRI) to detect metastatic lymphadenopathy in men with stage 1 testicular cancer on surveillance. MATERIALS AND METHODS With IRB approval, we identified 23 consecutive men with stage 1 testicular cancer (diagnosed after orchiectomy) undergoing surveillance with unenhanced MRI of the abdomen and pelvis. Three blinded radiologists (2 inexperienced R1/R2 and 1 experienced R3) independently assessed MRI for: presence, location and size of abnormal lymph nodes and degree of confidence (5-point Likert scale) in diagnosis. Diagnostic accuracy was tabulated and compared between groups using ROC. Inter-observer agreement was assessed using Cohen's kappa statistic. RESULTS 17.4% (4/23) men developed 6 metastatic lymph nodes (reference standard: interval development from baseline, size > 1.0 cm short axis). R1 and R2 detected 75% (3/4) patients with abnormal lymph nodes, compared to R3 who detected all four cases. False positive interpretations occurred in: 5.2% (1/19) R1, 10.5% (2/19) R2 and no patients for R3. Sensitivity, specificity and area under the ROC curve (AUC) were: R1: 75% (95% CI 19.4-99.4%), 94.7% (74.0-99.9%) and 0.85 (0.59-1.00), R2: 75% (19.4-99.4%), 89.5% (66.9-98.7%) and 0.82 (0.57-1.00) and, R3: 100% (95% 39.8-100.0%), 100% (82.4-100%) and 1.00 (1.00-1.00) with no difference in AUC between readers (p = 0.383). Comparison in accuracy between readers is limited due to the small sample size. Inter-observer agreement was substantial (K = 0.62). Median (range) degree of confidence scores were rated: R1 5 (5-5), R2 4 (3-5) and, R3 5 (5-5). CONCLUSION In this study, unenhanced MRI was adequate for surveillance of stage 1 testicular cancer; however, radiologist inexperience may lead to errors.
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Mahmood KA, Rashid RJ, Fateh SM, Mohammed NA. Evaluation of the Effect of Patient Preparation Using Castor Oil on ADC Value of Focal Liver Lesion. Int J Gen Med 2021; 14:469-474. [PMID: 33623419 PMCID: PMC7896795 DOI: 10.2147/ijgm.s289661] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2020] [Accepted: 01/22/2021] [Indexed: 11/23/2022] Open
Abstract
Purpose To estimate the role of patient preparation using castor oil on the ADC value of focal liver lesion. Patients and Methods Retrospective case-control study over more than two years. Magnetic resonance imaging (MRI) scan, including diffusion-weighted imaging (DWI) of the upper abdomen performed for 87 cases and 71 controls in patients with focal hepatic hemangiomas. Cases were prepared using castor oil prior to the scan without identifiable unwanted effect, while controls did not receive any special preparation. Since liver hemangioma is a common lesion, it was selected and used as a sample. Apparent Diffusion Coefficient (ADC) values of focal liver lesion were calculated in cases and controls. Results The mean ADC value of liver hemangioma was lower in cases compared to controls; the mean ADC value was (2.21±0.39x10ˉ3mm2/s) in cases and (2.51±0.49x10ˉ3mm2/s) in controls. Left lobes were more affected by lesions; the mean ADC value of the left lobe lesions was (2.26±0.37 x10ˉ3mm2/s) and (2.86±0.43 x10ˉ3mm2/s) in cases and controls, respectively. The ADC value of lesions in the right lobe was (2.19±0.39x10ˉ3mm2/s) in cases and (2.39± 0.45x10ˉ3mm2/s) in controls. There was a significant segmental ADC variation; lesions at segments II, III, IVb, and V demonstrated illusive ADC elevation in controls. Conclusion There is erroneous elevation of lobar and segmental ADC value of liver hemangiomas in non prepared patients. This Potential source of error (peristalsis, partial volume, and paramagnetic gas effect of gastrointestinal tract) on hepatic lesions’ ADC value can be avoided by proper preparation using castor oil prior to MRI scanning.
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Affiliation(s)
- Kawa Abdulla Mahmood
- University of Sulaimani, College of Medicine, Department of Surgery-Diagnostic Imaging Unit, Sulaymaniyah, Kurdistan Region, Iraq
| | - Rezheen Jamal Rashid
- University of Sulaimani, College of Medicine, Department of Surgery-Diagnostic Imaging Unit, Sulaymaniyah, Kurdistan Region, Iraq
| | - Salah Mohammed Fateh
- University of Sulaimani, College of Medicine, Department of Surgery-Diagnostic Imaging Unit, Sulaymaniyah, Kurdistan Region, Iraq
| | - Naser Abdullah Mohammed
- University of Sulaimani, College of Medicine, Department of Surgery-Diagnostic Imaging Unit, Sulaymaniyah, Kurdistan Region, Iraq
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Liu R, Li J, Jiang Y, Wu Z, Chen Y, Li R. Apparent diffusion coefficient values of cryptorchid testes and malignant transformation of cryptorchidism (MTC) (seminoma) in postpubertal patients. Br J Radiol 2021; 94:20200624. [PMID: 33411594 DOI: 10.1259/bjr.20200624] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022] Open
Abstract
OBJECTIVES Diffusion-weighted imaging signal contrast can be quantified by apparent diffusion coefficient (ADC) maps, which reflect the diffusion properties of the examined tissue and are helpful for identifying pathology. To determine ADC values of cryptorchid testes in post-pubertal patients and assess performance for characterizing cryptorchid testes. METHODS The medical records from 35 patients with unilateral scrotal vacuity were retrospectively reviewed. Data were analyzed in three groups: Group A, normal testes (i.e. the contralateral testes of the patients with cryptorchidism or MTC); Group B, cryptorchid testes; and Group C, malignant transformation of cryptorchidism (MTC) (seminoma). DWI used b-values of 0 and 800 s/mm2. Mean ADC values were compared using the independent samples t-test. The ability of ADC values was assessed using receiver operating characteristic curve analysis. The sensitivity, specificity, and accuracy were calculated. RESULTS Mean ADC values for normal testes, cryptorchid testes, and MTC were 1.18 ± 0.18×10-3 mm2/s, 1.82 ± 0.40×10-3 mm2/s, and 0.80 ± 0.06×10-3 mm2/s, respectively. There were statistically significant differences in mean ADC values between normal testes and cryptorchid testes or MTC (p < 0.001). The cut-off ADC value for differentiating normal testes from cryptorchid testes was 1.47 × 10-3 mm2/s. The sensitivity, specificity, and accuracy were 88%, 91%, and 90%, respectively. The cut-off ADC value for differentiating normal testes from MTC was 1.22 × 10-3 mm2/s. The sensitivity, specificity, and accuracy were 100%, 31%, and 43%, respectively. CONCLUSION ADC values of cryptorchid testes may be used to inform clinical decision-making and also monitor testicular function in patients who retain undescended testicles or post-operatively. ADVANCES IN KNOWLEDGE Mean ADC values of cryptorchidism and MTC (seminoma) were used to reflect their pathological features.
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Affiliation(s)
- Renwei Liu
- Department of Radiology, The People's Hospital of Longhua, The Affiliated Hospital of Southern Medical University, Shenzhen 518109, China
| | - Jianhua Li
- Department of Radiology, The People's Hospital of Longhua, The Affiliated Hospital of Southern Medical University, Shenzhen 518109, China
| | - Yixiang Jiang
- Department of Radiology, The People's Hospital of Longhua, The Affiliated Hospital of Southern Medical University, Shenzhen 518109, China
| | - Zhiqing Wu
- Department of Radiology, The People's Hospital of Longhua, The Affiliated Hospital of Southern Medical University, Shenzhen 518109, China
| | - Yanzi Chen
- Department of Radiology, The People's Hospital of Longhua, The Affiliated Hospital of Southern Medical University, Shenzhen 518109, China
| | - Ruifeng Li
- Department of Radiology, The People's Hospital of Longhua, The Affiliated Hospital of Southern Medical University, Shenzhen 518109, China
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Palumbo P, Manetta R, Izzo A, Bruno F, Arrigoni F, De Filippo M, Splendiani A, Di Cesare E, Masciocchi C, Barile A. Biparametric (bp) and multiparametric (mp) magnetic resonance imaging (MRI) approach to prostate cancer disease: a narrative review of current debate on dynamic contrast enhancement. Gland Surg 2020; 9:2235-2247. [PMID: 33447576 DOI: 10.21037/gs-20-547] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
Prostate cancer is the most common malignancy in male population. Over the last few years, magnetic resonance imaging (MRI) has proved to be a robust clinical tool for identification and staging of clinically significant prostate cancer. Though suggestions by the European Society of Urogenital Radiology to use complete multiparametric (mp) T2-weighted/diffusion weighted imaging (DWI)/dynamic contrast enhancement (DCE) acquisition for all prostate MRI examinations, the real advantage of functional DCE remains a matter of debate. Recent studies demonstrate that biparametric (bp) and mp approaches have similar accuracy, but controversial evidences remain, and the specific potential benefits of contrast medium administration are still poorly discussed in literature. The bp approach is in fact sufficient in most cases to adequately identify a negative test, or to accurately define the degree of aggressiveness of a lesion, especially if larger or with major characteristics of malignancy. This feature would give the DCE a secondary role, probably limited to a second evaluation of the lesion location, for detecting small cancer or in case of controversy. However, DCE has proved to increase the sensitivity of prostate MRI, though a less specificity. Therefore, an appropriate decision algorithm is needed to standardize the MRI approach. Aim of this review study was to provide a schematic description of bpMRI and mpMRI approaches in the study of prostatic anatomy, focusing on comparative validity and current DCE application. Additional theoretical considerations on prostate MRI are provided.
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Affiliation(s)
- Pierpaolo Palumbo
- Department of Biotechnology and Applied Clinical Sciences, University of L'Aquila, L'Aquila, Italy
| | - Rosa Manetta
- Radiology Unit, San Salvatore Hospital, L'Aquila, Italy
| | - Antonio Izzo
- Department of Biotechnology and Applied Clinical Sciences, University of L'Aquila, L'Aquila, Italy
| | - Federico Bruno
- Department of Biotechnology and Applied Clinical Sciences, University of L'Aquila, L'Aquila, Italy
| | - Francesco Arrigoni
- Department of Biotechnology and Applied Clinical Sciences, University of L'Aquila, L'Aquila, Italy
| | - Massimo De Filippo
- Department of Medicine and Surgery (DiMec), Section of Radiology, University of Parma, Maggiore Hospital, Parma, Italy
| | - Alessandra Splendiani
- Department of Biotechnology and Applied Clinical Sciences, University of L'Aquila, L'Aquila, Italy
| | - Ernesto Di Cesare
- Department of Life, Health and Environmental Sciences, University of L'Aquila, L'Aquila, Italy
| | - Carlo Masciocchi
- Department of Biotechnology and Applied Clinical Sciences, University of L'Aquila, L'Aquila, Italy
| | - Antonio Barile
- Department of Biotechnology and Applied Clinical Sciences, University of L'Aquila, L'Aquila, Italy
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De Paepe KN, Higgins DM, Ball I, Morgan VA, Barton DP, deSouza NM. Visualizing the autonomic and somatic innervation of the female pelvis with 3D MR neurography: a feasibility study. Acta Radiol 2020; 61:1668-1676. [PMID: 32212832 PMCID: PMC7720358 DOI: 10.1177/0284185120909337] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2019] [Accepted: 01/21/2020] [Indexed: 12/14/2022]
Abstract
BACKGROUND Treatment of female pelvic malignancies often causes pelvic nerve damage. Magnetic resonance (MR) neurography mapping the female pelvic innervation could aid in treatment planning. PURPOSE To depict female autonomic and somatic pelvic innervation using a modified 3D NerveVIEW sequence. MATERIAL AND METHODS Prospective study in 20 female volunteers (n = 6 normal, n = 14 cervical pathology) who underwent a modified 3D short TI inversion recovery (STIR) turbo spin-echo (TSE) scan with a motion-sensitive driven equilibrium (MSDE) preparation radiofrequency pulse and flow compensation. Modifications included offset independent trapezoid (OIT) pulses for inversion and MSDE refocusing. Maximum intensity projections (MIP) were evaluated by two observers (Observer 1, Observer 2); image quality was scored as 2 = high, 1 = medium, or 0 = low with the sciatic nerve serving as a reference. Conspicuity of autonomic superior (SHP) and bilateral inferior hypogastric plexuses (IHP), hypogastric nerves, and somatic pelvic nerves (sciatic, pudendal) was scored as 2 = well-defined, 1 = poorly defined, or 0 = not seen, and inter-observer agreement was determined. RESULTS Images were of medium to high quality according to both observers agreeing in 15/20 (75%) of individuals. SHP and bilateral hypogastric nerves were seen in 30/60 (50%) of cases by both observers. Bilateral IHP was seen in 85% (34/40) by Observer 1 and in 75% (30/40) by Observer 2. Sciatic nerves were well identified in all cases, while pudendal nerves were seen bilaterally by Observer 1 in 65% (26/40) and by Observer 2 in 72.5% (29/40). Agreement between observers for scoring nerve conspicuity was in the range of 60%-100%. CONCLUSION Modified 3D NerveVIEW renders high-quality images of the female autonomic and pudendal nerves.
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Affiliation(s)
- Katja N De Paepe
- The Institute of Cancer Research, Division of Radiotherapy and Imaging, Sutton, UK
- The Royal Marsden NHS Foundation Trust, Department of Radiology, London, UK
| | | | | | - Veronica A Morgan
- The Royal Marsden NHS Foundation Trust, Department of Radiology, London, UK
| | - Desmond P Barton
- The Royal Marsden NHS Foundation Trust, Department of Gynecological Oncology, London, UK
| | - Nandita M deSouza
- The Institute of Cancer Research, Division of Radiotherapy and Imaging, Sutton, UK
- The Royal Marsden NHS Foundation Trust, Department of Radiology, London, UK
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Riexinger A, Laun FB, Bickelhaupt S, Seuß H, Uder M, Hensel B, Saake M. On the dependence of the cardiac motion artifact on the breathing cycle in liver diffusion-weighted imaging. PLoS One 2020; 15:e0239743. [PMID: 33002028 PMCID: PMC7529231 DOI: 10.1371/journal.pone.0239743] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2020] [Accepted: 09/11/2020] [Indexed: 12/17/2022] Open
Abstract
Purpose The purpose of this study was to investigate whether the cardiac motion artifact that regularly appears in diffusion-weighted imaging of the left liver lobe might be reduced by acquiring images in inspiration, when the coupling between heart and liver might be minimal. Materials and methods 43 patients with known or suspected focal liver lesions were examined at 1.5 T with breath hold acquisition, once in inspiration and once in expiration. Data were acquired with a diffusion-weighted echo planar imaging sequence and two b-values (b50 = 50 s/mm² and b800 = 800 s/mm²). The severity of the cardiac motion artifact in the left liver lobe was rated by two experienced radiologists for both b-values with a 5 point Likert scale. Additionally, the normalized signal S(b800)/S(b50) in the left liver lobe was computed. The Wilcoxon signed-rank test was used comparing the scores of the two readers obtained in inspiration and expiration, and to compare the normalized signal in inspiration and expiration. Results The normalized signal in inspiration was slightly higher than in expiration (0.349±0.077 vs 0.336±0.058), which would indicate a slight reduction of the cardiac motion artifact, but this difference was not significant (p = 0.24). In the qualitative evaluation, the readers did not observe a significant difference for b50 (reader 1: p = 0.61; reader 2: p = 0.18). For b800, reader 1 observed a significant difference of small effect size favouring expiration (p = 0.03 with a difference of mean Likert scores of 0.27), while reader 2 observed no significant difference (p = 0.62). Conclusion Acquiring the data in inspiration does not lead to a markedly reduced cardiac motion artifact in diffusion-weighted imaging of the left liver lobe and is in this regard not to be preferred over acquiring the data in expiration.
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Affiliation(s)
- Andreas Riexinger
- Institute of Radiology, University Hospital Erlangen, Erlangen, Germany
- * E-mail:
| | | | | | - Hannes Seuß
- Institute of Radiology, University Hospital Erlangen, Erlangen, Germany
| | - Michael Uder
- Institute of Radiology, University Hospital Erlangen, Erlangen, Germany
| | - Bernhard Hensel
- Center for Medical Physics and Engineering, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany
| | - Marc Saake
- Institute of Radiology, University Hospital Erlangen, Erlangen, Germany
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