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1
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Groß S, Bitzer M, Albert J, Blödt S, Boda-Heggemann J, Borucki K, Brunner T, Caspari R, Dombrowski F, Evert M, Follmann M, Freudenberger P, Gani C, Gebert J, Geier A, Gkika E, Götz M, Helmberger T, Hoffmann RT, Huppert P, Krug D, Fougère CL, Lang H, Langer T, Lenz P, Lüdde T, Mahnken A, Nadalin S, Nguyen HHP, Nothacker M, Ockenga J, Oldhafer K, Ott J, Paprottka P, Pereira P, Persigehl T, Plentz R, Pohl J, Recken H, Reimer P, Riemer J, Ringe K, Roeb E, Rüssel J, Schellhaas B, Schirmacher P, Schlitt HJ, Schmid I, Schütte K, Schuler A, Seehofer D, Sinn M, Stengel A, Steubesand N, Stoll C, Tannapfel A, Taubert A, Trojan J, van Thiel I, Utzig M, Vogel A, Vogl T, Wacker F, Waidmann O, Wedemeyer H, Wege H, Wenzel G, Wildner D, Wörns MA, Galle P, Malek N. [Not Available]. ZEITSCHRIFT FUR GASTROENTEROLOGIE 2025; 63:e82-e158. [PMID: 39919781 DOI: 10.1055/a-2460-6347] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/09/2025]
Affiliation(s)
- Sabrina Groß
- Abteilung für Gastroenterologie, Gastrointestinale Onkologie, Hepatologie, Infektiologie und Geriatrie, Eberhard-Karls Universität, Tübingen
| | - Michael Bitzer
- Abteilung für Gastroenterologie, Gastrointestinale Onkologie, Hepatologie, Infektiologie und Geriatrie, Eberhard-Karls Universität, Tübingen
| | - Jörg Albert
- Katharinenhospital, Klinik für Allgemeine Innere Medizin, Gastroenterologie, Hepatologie, Infektiologie und Pneumologie, Stuttgart
| | - Susanne Blödt
- Arbeitsgemeinschaft der Wissenschaftlichen Medizinischen Fachgesellschaften e. V. (AWMF), Berlin
| | | | - Katrin Borucki
- Otto-von-Guericke-Universität Magdeburg, Medizinische Fakultät, Institut für Klinische Chemie und Pathobiochemie
| | - Thomas Brunner
- Universitätsklinik für Strahlentherapie-Radioonkologie, Medizinische Universität Graz
| | - Reiner Caspari
- Klinik Niederrhein Erkrankungen des Stoffwechsels der Verdauungsorgane und Tumorerkrankungen, Bad Neuenahr-Ahrweiler
| | | | | | - Markus Follmann
- Office des Leitlinienprogrammes Onkologie, Deutsche Krebsgesellschaft e.V., Berlin
| | | | - Cihan Gani
- Klinik für Radioonkologie, Universitätsklinikum Tübingen
| | - Jamila Gebert
- Abteilung für Gastroenterologie, Gastrointestinale Onkologie, Hepatologie, Infektiologie und Geriatrie, Eberhard-Karls Universität, Tübingen
| | - Andreas Geier
- Medizinische Klinik und Poliklinik II, Universitätsklinikum Würzburg
| | - Eleni Gkika
- Klinik für Strahlenheilkunde, Department für Radiologische Diagnostik und Therapie, Universitätsklinikum Freiburg
| | - Martin Götz
- Medizinische Klinik IV - Gastroenterologie/Onkologie, Klinikverbund Südwest, Böblingen
| | - Thomas Helmberger
- Institut für Radiologie, Neuroradiologie und minimal invasive Therapie, München Klinik Bogenhausen
| | - Ralf-Thorsten Hoffmann
- Institut und Poliklinik für Diagnostische und Interventionelle Radiologie, Universitätsklinikum Dresden
| | - Peter Huppert
- Radiologisches Zentrum, Max Grundig Klinik, Bühlerhöhe
| | - David Krug
- Strahlentherapie Campus Kiel, Universitätsklinikum Schleswig-Holstein
| | - Christian La Fougère
- Nuklearmedizin und Klinische Molekulare Bildgebung, Eberhard-Karls Universität, Tübingen
| | - Hauke Lang
- Klinik für Allgemein-, Viszeral- und Transplantationschirurgie, Johannes Gutenberg-Universität, Mainz
| | - Thomas Langer
- Office des Leitlinienprogrammes Onkologie, Deutsche Krebsgesellschaft e.V., Berlin
| | - Philipp Lenz
- Zentrale Einrichtung Palliativmedizin, Universitätsklinikum Münster
| | - Tom Lüdde
- Medizinische Klinik für Gastroenterologie, Hepatologie und Infektiologie, Universitätsklinikum Düsseldorf
| | - Andreas Mahnken
- Klinik für Diagnostische und Interventionelle Radiologie, Universitätsklinikum Marburg
| | - Silvio Nadalin
- Klinik für Allgemein-, Viszeral- und Transplantationschirurgie, Eberhard-Karls Universität, Tübingen
| | | | - Monika Nothacker
- Arbeitsgemeinschaft der Wissenschaftlichen Medizinischen Fachgesellschaften e. V. (AWMF), Berlin
| | - Johann Ockenga
- Medizinische Klinik II, Gesundheit Nord, Klinikverbund Bremen
| | - Karl Oldhafer
- Klinik für Leber-, Gallenwegs- und Pankreaschirurgie, Asklepios Klinik Barmbek
| | - Julia Ott
- Abteilung für Gastroenterologie, Gastrointestinale Onkologie, Hepatologie, Infektiologie und Geriatrie, Eberhard-Karls Universität, Tübingen
| | - Philipp Paprottka
- Sektion für Interventionelle Radiologie, Klinikum rechts der Isar, Technische Universität München
| | - Philippe Pereira
- Zentrum für Radiologie, Minimal-invasive Therapien und Nuklearmedizin, SLK-Klinken Heilbronn
| | - Thorsten Persigehl
- Institut für Diagnostische und Interventionelle Radiologie, Universitätsklinikum Köln
| | - Ruben Plentz
- Digestive Diseases and Nutrition, Gastroenterology, University of Kentucky
| | - Jürgen Pohl
- Abteilung für Gastroenterologie, Asklepios Klinik Altona
| | | | - Peter Reimer
- Institut für Diagnostische und Interventionelle Radiologie, Städtisches Klinikum Karlsruhe
| | | | - Kristina Ringe
- Institut für Diagnostische und Interventionelle Radiologie, Medizinische Hochschule Hannover
| | - Elke Roeb
- Medizinische Klinik II Pneumologie, Nephrologie und Gastroenterologie, Universitätsklinikum Gießen
| | - Jörn Rüssel
- Medizinische Klinik IV Hämatologie und Onkologie, Universitätsklinikum Halle (Saale)
| | - Barbara Schellhaas
- Medizinische Klinik I Gastroenterologie, Pneumologie und Endokrinologie, Friedrich-Alexander-Universität, Erlangen
| | - Peter Schirmacher
- Allgemeine Pathologie und pathologische Anatomie, Universitätsklinikum Heidelberg
| | | | - Irene Schmid
- Kinderklinik und Kinderpoliklinik im Dr. von Haunerschen Kinderspital, LMU München
| | - Kerstin Schütte
- Klinik für Innere Medizin und Gastroenterologie, Niels-Stensen-Kliniken, Marienhospital Osnabrück
| | - Andreas Schuler
- Medizinische Klinik, Gastroenterologie, Alb-Fils-Kliniken, Geislingen an der Steige
| | - Daniel Seehofer
- Klinik und Poliklinik für Viszeral-, Transplantations-, Thorax- und Gefäßchirurgie, Universitätsklinikum Leipzig
| | - Marianne Sinn
- II. Medizinische Klinik und Poliklinik (Onkologie, Hämatologie, Knochenmarktransplantation mit Abteilung für Pneumologie), Universitätsklinikum Hamburg-Eppendorf
| | - Andreas Stengel
- Innere Medizin VI - Psychosomatische Medizin und Psychotherapie, Eberhard-Karls Universität, Tübingen
| | | | | | | | - Anne Taubert
- Klinische Sozialarbeit, Universitätsklinikum Heidelberg
| | - Jörg Trojan
- Medizinische Klinik 1: Gastroenterologie und Hepatologie, Pneumologie und Allergologie, Endokrinologie und Diabetologie sowie Ernährungsmedizin, Goethe-Universität, Frankfurt
| | | | - Martin Utzig
- Abteilung Zertifizierung, Deutsche Krebsgesellschaft e.V., Berlin
| | - Arndt Vogel
- Institute of Medical Science, University of Toronto
| | - Thomas Vogl
- Institut für Diagnostische und Interventionelle Radiologie, Goethe-Universität, Frankfurt
| | - Frank Wacker
- Institut für Diagnostische und Interventionelle Radiologie, Medizinische Hochschule Hannover
| | | | - Heiner Wedemeyer
- Klinik für Gastroenterologie, Hepatologie, Infektiologie und Endokrinologie, Medizinische Hochschule Hannover
| | - Henning Wege
- Klinik für Allgemeine Innere Medizin, Onkologie/Hämatologie, Gastroenterologie und Infektiologie, Klinikum Esslingen
| | - Gregor Wenzel
- Office des Leitlinienprogrammes Onkologie, Deutsche Krebsgesellschaft e.V., Berlin
| | - Dane Wildner
- Innere Medizin, Krankenhäuser Nürnberger Land GmbH, Standort Lauf
| | - Marcus-Alexander Wörns
- Klinik für Gastroenterologie, Hämatologie und internistische Onkologie und Endokrinologie, Klinikum Dortmund
| | - Peter Galle
- 1. Medizinische Klinik und Poliklinik, Gastroenterologie, Hepatologie, Nephrologie, Rheumatologie, Infektiologie, Johannes Gutenberg-Universität, Mainz
| | - Nisar Malek
- Abteilung für Gastroenterologie, Gastrointestinale Onkologie, Hepatologie, Infektiologie und Geriatrie, Eberhard-Karls Universität, Tübingen
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Dong J, Wang Z, Wang SR, Zhao H, Li J, Ma T. Application value of different imaging methods in the early diagnosis of small hepatocellular carcinoma: a network meta-analysis. Front Oncol 2025; 14:1510296. [PMID: 39876892 PMCID: PMC11772129 DOI: 10.3389/fonc.2024.1510296] [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: 10/12/2024] [Accepted: 12/09/2024] [Indexed: 01/31/2025] Open
Abstract
Objective To determine the diagnostic value of ultrasound, multi-phase enhanced computed tomography, and magnetic resonance imaging of small hepatocellular carcinoma. Methods Experimental studies on diagnosing small hepatocellular carcinoma in four databases: PubMed, Cochrane Library, Web of Science, and Embase, were comprehensively searched from October 2007 to October 2024. Relevant diagnostic accuracy data were extracted and a Bayesian model that combined direct and indirect evidence was used for analysis. Results 16 original studies were included and data from 2,447 patients were collated to assess the diagnostic value of 10 different methods. The methodological quality of the included studies was good and there was no obvious publication bias. The pooled DOR of all diagnostic methods was 19.61, which was statistically significant (I2 = 76.0%, P < 0.01, 95% CI:13.30 - 28.92). Normal US + CEUS + ultrasonic elastic imaging had the highest specificity (92.9), accuracy (93.6), and positive predictive value (94.4). Unenhanced MRI + Contrast-enhanced MRI had the highest sensitivity (96.6) and negative predictive value (96.6), but specificity (12.5) and positive predictive value (34.4) were extremely poor. Contrast-enhanced MRI had the highest diagnostic value in individual imaging methods (sensitivity: 66, specificity: 55.5, accuracy: 67.9, positive predictive value: 64.4, negative predictive value: 66.5). There was significant inconsistency and high heterogeneity in this study. Systematic review registration https://www.crd.york.ac.uk/PROSPERO/, identifier CRD42024507883.
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Affiliation(s)
| | | | | | | | - Jun Li
- Department of Ultrasound Medicine, the First Affiliated Hospital of Shihezi University, Shihezi, Xinjiang, China
| | - Ting Ma
- Department of Ultrasound Medicine, the First Affiliated Hospital of Shihezi University, Shihezi, Xinjiang, China
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Nguyen T, Vennatt J, Downs L, Surabhi V, Stanietzky N. Advanced Imaging of Hepatocellular Carcinoma: A Review of Current and Novel Techniques. J Gastrointest Cancer 2024; 55:1469-1484. [PMID: 39158837 DOI: 10.1007/s12029-024-01094-8] [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: 07/16/2024] [Indexed: 08/20/2024]
Abstract
Hepatocellular carcinoma (HCC) is the most common primary carcinoma arising from the liver. Although HCC can arise de novo, the vast majority of cases develop in the setting of chronic liver disease. Hepatocarcinogenesis follows a well-studied process during which chronic inflammation and cellular damage precipitate cellular and genetic aberrations, with subsequent propagation of precancerous and cancerous lesions. Surveillance of individuals at high risk of HCC, early diagnosis, and individualized treatment are keys to reducing the mortality associated with this disease. Radiological imaging plays a critical role in the diagnosis and management of these patients. HCC is a unique cancer in that it can be diagnosed with confidence by imaging that meets all radiologic criteria, obviating the risks associated with tissue sampling. This article discusses conventional and emerging imaging techniques for the evaluation of HCC.
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Affiliation(s)
- Trinh Nguyen
- Department of Abdominal Imaging, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Boulevard, Houston, TX, 77030, USA
| | - Jaijo Vennatt
- Department of Diagnostic Radiology, Baylor College of Medicine, 1 Baylor Plaza, Houston, TX, 77030, USA
| | - Lincoln Downs
- Department of Abdominal Imaging, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Boulevard, Houston, TX, 77030, USA
| | - Venkateswar Surabhi
- Department of Abdominal Imaging, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Boulevard, Houston, TX, 77030, USA
| | - Nir Stanietzky
- Department of Abdominal Imaging, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Boulevard, Houston, TX, 77030, USA.
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Polpichai N, Saowapa S, Danpanichkul P, Chan SY, Sierra L, Blagoie J, Rattananukrom C, Sripongpun P, Kaewdech A. Beyond the Liver: A Comprehensive Review of Strategies to Prevent Hepatocellular Carcinoma. J Clin Med 2024; 13:6770. [PMID: 39597914 PMCID: PMC11594971 DOI: 10.3390/jcm13226770] [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: 10/16/2024] [Revised: 11/06/2024] [Accepted: 11/08/2024] [Indexed: 11/29/2024] Open
Abstract
BACKGROUND/OBJECTIVES Hepatocellular carcinoma (HCC) is a leading cause of cancer-related mortality worldwide, primarily developing in the context of chronic liver disease. Traditional prevention has focused on liver-specific interventions like antiviral therapies and surveillance. However, extrahepatic factors also significantly contribute to HCC risk. This review explores comprehensive strategies for HCC prevention, including both hepatic and extrahepatic factors. METHODS An extensive literature search of peer-reviewed articles up to October 2024 was conducted, focusing on studies addressing HCC prevention strategies. Studies that focused on both hepatic and extrahepatic factors were included. Data were extracted and synthesized to provide an overview of current prevention strategies and their effectiveness in reducing HCC incidence. RESULTS Hepatitis B vaccination and antiviral treatments for hepatitis B and C significantly reduce HCC incidence. Lifestyle modifications-such as reducing alcohol consumption, maintaining a healthy weight through diet and exercise, and smoking cessation-are crucial in lowering HCC risk. Environmental measures to limit exposure to aflatoxins and other hazards also contribute to prevention. Regular surveillance of high-risk groups enables early detection and improves survival rates. Emerging strategies like immunotherapy and gene therapy show potential for further reducing HCC risk. CONCLUSIONS A comprehensive approach combining medical interventions, lifestyle changes, and environmental controls is essential for effectively decreasing HCC incidence globally. Implementing these combined measures could significantly reduce the global burden of HCC.
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Affiliation(s)
- Natchaya Polpichai
- Department of Medicine, Weiss Memorial Hospital, Chicago, IL 60640, USA; (N.P.); (S.-Y.C.); (J.B.)
| | - Sakditad Saowapa
- Department of Medicine, Texas Tech University Health Science Center, Lubbock, TX 79430, USA; (S.S.); (P.D.)
| | - Pojsakorn Danpanichkul
- Department of Medicine, Texas Tech University Health Science Center, Lubbock, TX 79430, USA; (S.S.); (P.D.)
| | - Shu-Yen Chan
- Department of Medicine, Weiss Memorial Hospital, Chicago, IL 60640, USA; (N.P.); (S.-Y.C.); (J.B.)
| | - Leandro Sierra
- Department of Medicine, Cleveland Clinic Foundation, Cleveland, OH 44195, USA;
| | - Johanna Blagoie
- Department of Medicine, Weiss Memorial Hospital, Chicago, IL 60640, USA; (N.P.); (S.-Y.C.); (J.B.)
| | - Chitchai Rattananukrom
- Division of Gastroenterology and Hepatology, Department of Medicine, Faculty of Medicine, Srinagarind Hospital, Khon Kaen University, Khon Kaen 40002, Thailand;
| | - Pimsiri Sripongpun
- Gastroenterology and Hepatology Unit, Division of Internal Medicine, Faculty of Medicine, Prince of Songkla University, Songkhla 90110, Thailand;
| | - Apichat Kaewdech
- Gastroenterology and Hepatology Unit, Division of Internal Medicine, Faculty of Medicine, Prince of Songkla University, Songkhla 90110, Thailand;
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Yang C, Zhang ZM, Zhao ZP, Wang ZQ, Zheng J, Xiao HJ, Xu H, Liu H, Yang L. Radiomic analysis based on magnetic resonance imaging for the prediction of VEGF expression in hepatocellular carcinoma patients. Abdom Radiol (NY) 2024; 49:3824-3833. [PMID: 38896246 PMCID: PMC11519187 DOI: 10.1007/s00261-024-04427-0] [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: 04/15/2024] [Revised: 05/30/2024] [Accepted: 05/30/2024] [Indexed: 06/21/2024]
Abstract
OBJECTIVE The purpose of this study was to investigate the ability of radiomic characteristics of magnetic resonance images to predict vascular endothelial growth factor (VEGF) expression in hepatocellular carcinoma (HCC) patients. METHODS One hundred and twenty-four patients with HCC who underwent fat-suppressed T2-weighted imaging (FS-T2WI) and dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) one week before surgical resection were enrolled in this retrospective study. Immunohistochemical analysis was used to evaluate the expression level of VEGF. Radiomic features were extracted from the axial FS-T2WI, DCE-MRI (arterial phase and portal venous phase) images of axial MRI. Least absolute shrinkage and selection operator (LASSO) and stepwise regression analyses were performed to select the best radiomic features. Multivariate logistic regression models were constructed and validated using tenfold cross-validation. Receiver operating characteristic (ROC) curve analysis, calibration curve analysis and decision curve analysis (DCA) were employed to evaluate these models. RESULTS Our results show that there were 94 patients with high VEGF expression and 30 patients with low VEGF expression among the 124 HCC patients. The FS-T2WI, DCE-MRI and combined MRI radiomics models had AUCs of 0.8713, 0.7819, and 0.9191, respectively. There was no significant difference in the AUC between the FS-T2WI radiomics model and the DCE-MRI radiomics model (p > 0.05), but the AUC for the combined model was significantly greater than the AUCs for the other two models (p < 0.05) according to the DeLong test. The combined model had the greatest net benefit according to the DCA results. CONCLUSION The radiomic model based on multisequence MR images has the potential to predict VEGF expression in HCC patients. The combined model showed the best performance.
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Affiliation(s)
- Cui Yang
- Department of Radiology, Panzhihua Central Hospital, Panzhihua, 617000, Sichuan, China
| | - Ze-Ming Zhang
- Department of Radiology, Panzhihua Central Hospital, Panzhihua, 617000, Sichuan, China
| | - Zhang-Ping Zhao
- Department of Radiology, Panzhihua Central Hospital, Panzhihua, 617000, Sichuan, China
| | - Zhi-Qing Wang
- Department of Radiology, Panzhihua Central Hospital, Panzhihua, 617000, Sichuan, China
| | - Jing Zheng
- Medical Imaging Key Laboratory of Sichuan Province, Science and Technology Innovation Center, Interventional Medical Center, Department of Radiology, Affiliated Hospital of North Sichuan Medical College, Nanchong, 637000, Sichuan, P. R. China
| | - Hua-Jing Xiao
- Department of Pathology, Panzhihua Central Hospital, Panzhihua, 617000, Sichuan, China
| | - Hong Xu
- Department of Radiology, Panzhihua Central Hospital, Panzhihua, 617000, Sichuan, China
| | - Hui Liu
- Department of Radiology, Panzhihua Central Hospital, Panzhihua, 617000, Sichuan, China
| | - Lin Yang
- Medical Imaging Key Laboratory of Sichuan Province, Science and Technology Innovation Center, Interventional Medical Center, Department of Radiology, Affiliated Hospital of North Sichuan Medical College, Nanchong, 637000, Sichuan, P. R. China.
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Liu WM, Zhao XY, Gu MT, Song KR, Zheng W, Yu H, Chen HL, Xu XW, Zhou X, Liu AE, Jia NY, Wang PJ. Radiomics of Preoperative Multi-Sequence Magnetic Resonance Imaging Can Improve the Predictive Performance of Microvascular Invasion in Hepatocellular Carcinoma. World J Oncol 2024; 15:58-71. [PMID: 38274720 PMCID: PMC10807913 DOI: 10.14740/wjon1731] [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: 09/19/2023] [Accepted: 11/15/2023] [Indexed: 01/27/2024] Open
Abstract
Background The aim of the study is to demonstrate that radiomics of preoperative multi-sequence magnetic resonance imaging (MRI) can indeed improve the predictive performance of microvascular invasion (MVI) in hepatocellular carcinoma (HCC). Methods A total of 206 patients with pathologically confirmed HCC who underwent preoperative enhanced MRI were retrospectively recruited. Univariate and multivariate logistic regression analysis identified the independent clinicoradiologic predictors of MVI present and constituted the clinicoradiologic model. Recursive feature elimination (RFE) was applied to select radiomics features (extracted from six sequence images) and constructed the radiomics model. Clinicoradiologic model plus radiomics model formed the clinicoradiomics model. Five-fold cross-validation was used to validate the three models. Discrimination, calibration, and clinical utility were used to evaluate the performance. Net reclassification improvement (NRI) and integrated discrimination improvement (IDI) were used to compare the prediction accuracy between models. Results The clinicoradiologic model contained alpha-fetoprotein (AFP)_lg10, radiological capsule enhancement, enhancement pattern and arterial peritumoral enhancement, which were independent risk factors of MVI. There were 18 radiomics features related to MVI constructed the radiomics model. The mean area under the receiver operating curve (AUC) of clinicoradiologic, radiomics and clinicoradiomics model were 0.849, 0.925 and 0.950 in the training cohort and 0.846, 0.907 and 0.933 in the validation cohort, respectively. The three models' calibration curves fitted well, and decision curve analysis (DCA) confirmed the clinical usefulness. Compared with the clinicoradiologic model, the NRI of radiomics and clinicoradiomics model increased significantly by 0.575 and 0.825, respectively, and the IDI increased significantly by 0.280 and 0.398, respectively. Conclusions Radiomics of preoperative multi-sequence MRI can improve the predictive performance of MVI in HCC.
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Affiliation(s)
- Wan Min Liu
- Department of Radiology, Tongji Hospital, School of Medicine, Tongji University, Shanghai, China
- These authors contributed equally to this work
| | - Xing Yu Zhao
- Department of Radiology, Tongji Hospital, School of Medicine, Tongji University, Shanghai, China
- These authors contributed equally to this work
| | - Meng Ting Gu
- Department of Radiology, Tongji Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Kai Rong Song
- Department of Radiology, Eastern Hepatobiliary Surgery Hospital, The Third Affiliated Hospital of Shanghai Naval Military Medical University, Shanghai, China
| | - Wei Zheng
- Department of Radiology, Eastern Hepatobiliary Surgery Hospital, The Third Affiliated Hospital of Shanghai Naval Military Medical University, Shanghai, China
| | - Hui Yu
- Department of Radiology, Eastern Hepatobiliary Surgery Hospital, The Third Affiliated Hospital of Shanghai Naval Military Medical University, Shanghai, China
| | - Hui Lin Chen
- School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai, China
| | - Xiao Wen Xu
- Department of Radiology, Tongji Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Xiang Zhou
- Department of Radiology, Tongji Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Ai E Liu
- Department of Research Center, Shanghai United Imaging Intelligence Co., Ltd, Shanghai, China
| | - Ning Yang Jia
- Department of Radiology, Eastern Hepatobiliary Surgery Hospital, The Third Affiliated Hospital of Shanghai Naval Military Medical University, Shanghai, China
| | - Pei Jun Wang
- Department of Radiology, Tongji Hospital, School of Medicine, Tongji University, Shanghai, China
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7
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Groß S, Bitzer M, Albert J, Blödt S, Boda-Heggemann J, Brunner T, Caspari R, De Toni E, Dombrowski F, Evert M, Follmann M, Freudenberger P, Gani C, Geier A, Gkika E, Götz M, Helmberger T, Hoffmann RT, Huppert P, Krug D, La Fougère C, Lang H, Langer T, Lenz P, Lüdde T, Mahnken A, Nadalin S, Nguyen HHP, Nothacker M, Ockenga J, Oldhafer K, Paprottka P, Pereira P, Persigehl T, Plentz R, Pohl J, Recken H, Reimer P, Riemer J, Ritterbusch U, Roeb E, Rüssel J, Schellhaas B, Schirmacher P, Schlitt HJ, Schmid I, Schuler A, Seehofer D, Sinn M, Stengel A, Steubesand N, Stoll C, Tannapfel A, Taubert A, Tholen R, Trojan J, van Thiel I, Vogel A, Vogl T, Wacker F, Waidmann O, Wedemeyer H, Wege H, Wildner D, Wörns MA, Galle P, Malek N. [Not Available]. ZEITSCHRIFT FUR GASTROENTEROLOGIE 2024; 62:e213-e282. [PMID: 38364849 DOI: 10.1055/a-2189-8567] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/18/2024]
Affiliation(s)
- Sabrina Groß
- Abteilung für Gastroenterologie, Gastrointestinale Onkologie, Hepatologie, Infektiologie und Geriatrie, Eberhard-Karls Universität, Tübingen
| | - Michael Bitzer
- Abteilung für Gastroenterologie, Gastrointestinale Onkologie, Hepatologie, Infektiologie und Geriatrie, Eberhard-Karls Universität, Tübingen
| | - Jörg Albert
- Katharinenhospital, Klinik für Allgemeine Innere Medizin, Gastroenterologie, Hepatologie, Infektiologie und Pneumologie, Stuttgart
| | - Susanne Blödt
- Arbeitsgemeinschaft der Wissenschaftlichen Medizinischen Fachgesellschaften e. V. (AWMF), Berlin
| | | | - Thomas Brunner
- Universitätsklinik für Strahlentherapie-Radioonkologie, Medizinische Universität Graz
| | - Reiner Caspari
- Klinik Niederrhein, Erkrankungen des Stoffwechsels der Verdauungsorgane und Tumorerkrankungen, Bad Neuenahr-Ahrweiler
| | | | | | | | - Markus Follmann
- Office des Leitlinienprogrammes Onkologie, Deutsche Krebsgesellschaft e. V., Berlin
| | | | - Cihan Gani
- Klinik für Radioonkologie, Universitätsklinikum Tübingen
| | - Andreas Geier
- Medizinische Klinik und Poliklinik II, Universitätsklinikum Würzburg
| | - Eleni Gkika
- Klinik für Strahlenheilkunde, Department für Radiologische Diagnostik und Therapie, Universitätsklinikum Freiburg
| | - Martin Götz
- Medizinische Klinik IV - Gastroenterologie/Onkologie, Klinikverbund Südwest, Böblingen
| | - Thomas Helmberger
- Institut für Radiologie, Neuroradiologie und minimal invasive Therapie, München Klinik Bogenhausen
| | - Ralf-Thorsten Hoffmann
- Institut und Poliklinik für Diagnostische und Interventionelle Radiologie, Universitätsklinikum Dresden
| | - Peter Huppert
- Radiologisches Zentrum, Max Grundig Klinik, Bühlerhöhe
| | - David Krug
- Strahlentherapie Campus Kiel, Universitätsklinikum Schleswig-Holstein
| | - Christian La Fougère
- Nuklearmedizin und Klinische Molekulare Bildgebung, Eberhard-Karls Universität, Tübingen
| | - Hauke Lang
- Klinik für Allgemein-, Viszeral- und Transplantationschirurgie, Johannes Gutenberg-Universität, Mainz
| | - Thomas Langer
- Office des Leitlinienprogrammes Onkologie, Deutsche Krebsgesellschaft e. V., Berlin
| | - Philipp Lenz
- Zentrale Einrichtung Palliativmedizin, Universitätsklinikum Münster
| | - Tom Lüdde
- Medizinische Klinik für Gastroenterologie, Hepatologie und Infektiologie, Universitätsklinikum Düsseldorf
| | - Andreas Mahnken
- Klinik für Diagnostische und Interventionelle Radiologie, Universitätsklinikum Marburg
| | - Silvio Nadalin
- Klinik für Allgemein-, Viszeral- und Transplantationschirurgie, Eberhard-Karls Universität, Tübingen
| | | | - Monika Nothacker
- Arbeitsgemeinschaft der Wissenschaftlichen Medizinischen Fachgesellschaften e. V. (AWMF), Berlin
| | - Johann Ockenga
- Medizinische Klinik II, Gesundheit Nord, Klinikverbund Bremen
| | - Karl Oldhafer
- Klinik für Leber-, Gallenwegs- und Pankreaschirurgie, Asklepios Klinik Barmbek
| | - Philipp Paprottka
- Sektion für Interventionelle Radiologie, Klinikum rechts der Isar, Technische Universität München
| | - Philippe Pereira
- Zentrum für Radiologie, Minimal-invasive Therapien und Nuklearmedizin, SLK-Klinken Heilbronn
| | - Thorsten Persigehl
- Institut für Diagnostische und Interventionelle Radiologie, Universitätsklinikum Köln
| | - Ruben Plentz
- Klinik für Innere Medizin, Gesundheit Nord, Klinikverbund Bremen
| | - Jürgen Pohl
- Abteilung für Gastroenterologie, Asklepios Klinik Altona
| | | | - Peter Reimer
- Institut für Diagnostische und Interventionelle Radiologie, Städtisches Klinikum Karlsruhe
| | | | | | - Elke Roeb
- Medizinische Klinik II Pneumologie, Nephrologie und Gastroenterologie, Universitätsklinikum Gießen
| | - Jörn Rüssel
- Medizinische Klinik IV Hämatologie und Onkologie, Universitätsklinikum Halle (Saale)
| | - Barbara Schellhaas
- Medizinische Klinik I Gastroenterologie, Pneumologie und Endokrinologie, Friedrich-Alexander-Universität, Erlangen
| | - Peter Schirmacher
- Allgemeine Pathologie und pathologische Anatomie, Universitätsklinikum Heidelberg
| | - Hans J Schlitt
- Klinik und Poliklinik für Chirurgie, Universitätsklinikum Regensburg
| | - Irene Schmid
- Kinderklinik und Kinderpoliklinik im Dr. von Haunerschen Kinderspital, LMU München
| | - Andreas Schuler
- Medizinische Klinik, Gastroenterologie, Alb-Fils-Kliniken, Geislingen an der Steige
| | - Daniel Seehofer
- Klinik und Poliklinik für Viszeral-, Transplantations-, Thorax- und Gefäßchirurgie, Universitätsklinikum Leipzig
| | - Marianne Sinn
- II. Medizinische Klinik und Poliklinik (Onkologie, Hämatologie, Knochenmarktransplantation mit Abteilung für Pneumologie), Universitätsklinikum Hamburg-Eppendorf
| | - Andreas Stengel
- Innere Medizin VI - Psychosomatische Medizin und Psychotherapie, Eberhard-Karls Universität, Tübingen
| | | | | | | | - Anne Taubert
- Klinische Sozialarbeit, Universitätsklinikum Heidelberg
| | - Reina Tholen
- Deutscher Bundesverband für Physiotherapie (ZVK) e. V
| | - Jörg Trojan
- Medizinische Klinik 1: Gastroenterologie und Hepatologie, Pneumologie und Allergologie, Endokrinologie und Diabetologie sowie Ernährungsmedizin, Goethe-Universität, Frankfurt
| | | | - Arndt Vogel
- Klinik für Gastroenterologie, Hepatologie und Endokrinologie, Medizinische Hochschule Hannover
| | - Thomas Vogl
- Institut für Diagnostische und Interventionelle Radiologie, Goethe-Universität, Frankfurt
| | - Frank Wacker
- Institut für Diagnostische und Interventionelle Radiologie, Medizinische Hochschule Hannover
| | | | - Heiner Wedemeyer
- Klinik für Gastroenterologie, Hepatologie und Endokrinologie, Medizinische Hochschule Hannover
| | - Henning Wege
- Klinik für Allgemeine Innere Medizin, Onkologie/Hämatologie, Gastroenterologie und Infektiologie, Klinikum Esslingen
| | - Dane Wildner
- Innere Medizin, Krankenhäuser Nürnberger Land GmbH, Standort Lauf
| | - Marcus-Alexander Wörns
- Klinik für Gastroenterologie, Hämatologie und internistische Onkologie und Endokrinologie, Klinikum Dortmund
| | - Peter Galle
- 1. Medizinische Klinik und Poliklinik, Gastroenterologie, Hepatologie, Nephrologie, Rheumatologie, Infektiologie, Johannes Gutenberg-Universität, Mainz
| | - Nisar Malek
- Abteilung für Gastroenterologie, Gastrointestinale Onkologie, Hepatologie, Infektiologie und Geriatrie, Eberhard-Karls Universität, Tübingen
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8
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Bitzer M, Groß S, Albert J, Blödt S, Boda-Heggemann J, Brunner T, Caspari R, De Toni E, Dombrowski F, Evert M, Follmann M, Freudenberger P, Gani C, Geier A, Gkika E, Götz M, Helmberger T, Hoffmann RT, Huppert P, Krug D, Fougère CL, Lang H, Langer T, Lenz P, Lüdde T, Mahnken A, Nadalin S, Nguyen HHP, Nothacker M, Ockenga J, Oldhafer K, Paprottka P, Pereira P, Persigehl T, Plentz R, Pohl J, Recken H, Reimer P, Riemer J, Ritterbusch U, Roeb E, Rüssel J, Schellhaas B, Schirmacher P, Schlitt HJ, Schmid I, Schuler A, Seehofer D, Sinn M, Stengel A, Steubesand N, Stoll C, Tannapfel A, Taubert A, Tholen R, Trojan J, van Thiel I, Vogel A, Vogl T, Wacker F, Waidmann O, Wedemeyer H, Wege H, Wildner D, Wörns MA, Galle P, Malek N. [Not Available]. ZEITSCHRIFT FUR GASTROENTEROLOGIE 2024; 62:e67-e161. [PMID: 38195102 DOI: 10.1055/a-2189-6353] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/11/2024]
Affiliation(s)
- Michael Bitzer
- Abteilung für Gastroenterologie, Gastrointestinale Onkologie, Hepatologie, Infektiologie und Geriatrie, Eberhard-Karls Universität, Tübingen
| | - Sabrina Groß
- Abteilung für Gastroenterologie, Gastrointestinale Onkologie, Hepatologie, Infektiologie und Geriatrie, Eberhard-Karls Universität, Tübingen
| | - Jörg Albert
- Katharinenhospital, Klinik für Allgemeine Innere Medizin, Gastroenterologie, Hepatologie, Infektiologie und Pneumologie, Stuttgart
| | - Susanne Blödt
- Arbeitsgemeinschaft der Wissenschaftlichen Medizinischen Fachgesellschaften e. V.(AWMF), Berlin
| | | | - Thomas Brunner
- Universitätsklinik für Strahlentherapie-Radioonkologie, Medizinische Universität Graz
| | - Reiner Caspari
- Klinik Niederrhein Erkrankungen des Stoffwechsels der Verdauungsorgane und Tumorerkrankungen, Bad Neuenahr-Ahrweiler
| | | | | | | | - Markus Follmann
- Office des Leitlinienprogrammes Onkologie, Deutsche Krebsgesellschaft e. V., Berlin
| | | | - Cihan Gani
- Klinik für Radioonkologie, Universitätsklinikum Tübingen
| | - Andreas Geier
- Medizinische Klinik und Poliklinik II, Universitätsklinikum Würzburg
| | - Eleni Gkika
- Klinik für Strahlenheilkunde, Department für Radiologische Diagnostik und Therapie, Universitätsklinikum Freiburg
| | - Martin Götz
- Medizinische Klinik IV - Gastroenterologie/Onkologie, Klinikverbund Südwest, Böblingen
| | - Thomas Helmberger
- Institut für Radiologie, Neuroradiologie und minimal invasive Therapie, München Klinik Bogenhausen
| | - Ralf-Thorsten Hoffmann
- Institut und Poliklinik für Diagnostische und Interventionelle Radiologie, Universitätsklinikum Dresden
| | - Peter Huppert
- Radiologisches Zentrum, Max Grundig Klinik, Bühlerhöhe
| | - David Krug
- Strahlentherapie Campus Kiel, Universitätsklinikum Schleswig-Holstein
| | - Christian La Fougère
- Nuklearmedizin und Klinische Molekulare Bildgebung, Eberhard-Karls Universität, Tübingen
| | - Hauke Lang
- Klinik für Allgemein-, Viszeral- und Transplantationschirurgie, Johannes Gutenberg-Universität, Mainz
| | - Thomas Langer
- Office des Leitlinienprogrammes Onkologie, Deutsche Krebsgesellschaft e. V., Berlin
| | - Philipp Lenz
- Zentrale Einrichtung Palliativmedizin, Universitätsklinikum Münster
| | - Tom Lüdde
- Medizinische Klinik für Gastroenterologie, Hepatologie und Infektiologie, Universitätsklinikum Düsseldorf
| | - Andreas Mahnken
- Klinik für Diagnostische und Interventionelle Radiologie, Universitätsklinikum Marburg
| | - Silvio Nadalin
- Klinik für Allgemein-, Viszeral- und Transplantationschirurgie, Eberhard-Karls Universität, Tübingen
| | | | - Monika Nothacker
- Arbeitsgemeinschaft der Wissenschaftlichen Medizinischen Fachgesellschaften e. V.(AWMF), Berlin
| | - Johann Ockenga
- Medizinische Klinik II, Gesundheit Nord, Klinikverbund Bremen
| | - Karl Oldhafer
- Klinik für Leber-, Gallenwegs- und Pankreaschirurgie, Asklepios Klinik Barmbek
| | - Philipp Paprottka
- Sektion für Interventionelle Radiologie, Klinikum rechts der Isar, Technische Universität München
| | - Philippe Pereira
- Zentrum für Radiologie, Minimal-invasive Therapien und Nuklearmedizin, SLK-Klinken Heilbronn
| | - Thorsten Persigehl
- Institut für Diagnostische und Interventionelle Radiologie, Universitätsklinikum Köln
| | - Ruben Plentz
- Klinik für Innere Medizin, Gesundheit Nord, Klinikverbund Bremen
| | - Jürgen Pohl
- Abteilung für Gastroenterologie, Asklepios Klinik Altona
| | | | - Peter Reimer
- Institut für Diagnostische und Interventionelle Radiologie, Städtisches Klinikum Karlsruhe
| | | | | | - Elke Roeb
- Medizinische Klinik II Pneumologie, Nephrologie und Gastroenterologie, Universitätsklinikum Gießen
| | - Jörn Rüssel
- Medizinische Klinik IV Hämatologie und Onkologie, Universitätsklinikum Halle (Saale)
| | - Barbara Schellhaas
- Medizinische Klinik I Gastroenterologie, Pneumologie und Endokrinologie, Friedrich-Alexander-Universität, Erlangen
| | - Peter Schirmacher
- Allgemeine Pathologie und pathologische Anatomie, Universitätsklinikum Heidelberg
| | | | - Irene Schmid
- Kinderklinik und Kinderpoliklinik im Dr. von Haunerschen Kinderspital, LMU München
| | - Andreas Schuler
- Medizinische Klinik, Gastroenterologie, Alb-Fils-Kliniken, Geislingen an der Steige
| | - Daniel Seehofer
- Klinik und Poliklinik für Viszeral-, Transplantations-, Thorax- und Gefäßchirurgie, Universitätsklinikum Leipzig
| | - Marianne Sinn
- II. Medizinische Klinik und Poliklinik (Onkologie, Hämatologie, Knochenmarktransplantation mit Abteilung für Pneumologie), Universitätsklinikum Hamburg-Eppendorf
| | - Andreas Stengel
- Innere Medizin VI - Psychosomatische Medizin und Psychotherapie, Eberhard-Karls Universität, Tübingen
| | | | | | | | - Anne Taubert
- Klinische Sozialarbeit, Universitätsklinikum Heidelberg
| | - Reina Tholen
- Deutscher Bundesverband für Physiotherapie (ZVK) e. V
| | - Jörg Trojan
- Medizinische Klinik 1: Gastroenterologie und Hepatologie, Pneumologie und Allergologie, Endokrinologie und Diabetologie sowie Ernährungsmedizin, Goethe-Universität, Frankfurt
| | | | - Arndt Vogel
- Klinik für Gastroenterologie, Hepatologie und Endokrinologie, Medizinische Hochschule Hannover
| | - Thomas Vogl
- Institut für Diagnostische und Interventionelle Radiologie, Goethe-Universität, Frankfurt
| | - Frank Wacker
- Institut für Diagnostische und Interventionelle Radiologie, Medizinische Hochschule Hannover
| | | | - Heiner Wedemeyer
- Klinik für Gastroenterologie, Hepatologie und Endokrinologie, Medizinische Hochschule Hannover
| | - Henning Wege
- Klinik für Allgemeine Innere Medizin, Onkologie/Hämatologie, Gastroenterologie und Infektiologie, Klinikum Esslingen
| | - Dane Wildner
- Innere Medizin, Krankenhäuser Nürnberger Land GmbH, Standort Lauf
| | - Marcus-Alexander Wörns
- Klinik für Gastroenterologie, Hämatologie und internistische Onkologie und Endokrinologie, Klinikum Dortmund
| | - Peter Galle
- 1. Medizinische Klinik und Poliklinik, Gastroenterologie, Hepatologie, Nephrologie, Rheumatologie, Infektiologie, Johannes Gutenberg-Universität, Mainz
| | - Nisar Malek
- Abteilung für Gastroenterologie, Gastrointestinale Onkologie, Hepatologie, Infektiologie und Geriatrie, Eberhard-Karls Universität, Tübingen
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Omar MA, Omran MM, Farid K, Tabll AA, Shahein YE, Emran TM, Petrovic A, Lucic NR, Smolic R, Kovac T, Smolic M. Biomarkers for Hepatocellular Carcinoma: From Origin to Clinical Diagnosis. Biomedicines 2023; 11:1852. [PMID: 37509493 PMCID: PMC10377276 DOI: 10.3390/biomedicines11071852] [Citation(s) in RCA: 23] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2023] [Revised: 06/15/2023] [Accepted: 06/21/2023] [Indexed: 07/30/2023] Open
Abstract
The incidence of hepatocellular carcinoma (HCC) and HCC-related deaths has increased over the last few decades. There are several risk factors of HCC such as viral hepatitis (B, C), cirrhosis, tobacco and alcohol use, aflatoxin-contaminated food, pesticides, diabetes, obesity, nonalcoholic fatty liver disease (NAFLD), and metabolic and genetic diseases. Diagnosis of HCC is based on different methods such as imaging ultrasonography (US), multiphasic enhanced computed tomography (CT), magnetic resonance imaging (MRI), and several diagnostic biomarkers. In this review, we examine the epidemiology of HCC worldwide and in Egypt as well as risk factors associated with the development of HCC and, finally, provide the updated diagnostic biomarkers for the diagnosis of HCC, particularly in the early stages of HCC. Several biomarkers are considered to diagnose HCC, including downregulated or upregulated protein markers secreted during HCC development, circulating nucleic acids or cells, metabolites, and the promising, recently identified biomarkers based on quantitative proteomics through the isobaric tags for relative and absolute quantitation (iTRAQ). In addition, a diagnostic model used to improve the sensitivity of combined biomarkers for the diagnosis of early HCC is discussed.
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Affiliation(s)
- Mona A. Omar
- Chemistry Department, Faculty of Science, Damietta University, New Damietta 34517, Egypt;
| | - Mohamed M. Omran
- Chemistry Department, Faculty of Science, Helwan University, Cairo 11795, Egypt;
| | - Khaled Farid
- Tropical Medicine Department, Faculty of Medicine, Mansoura University, Mansoura 35524, Egypt;
| | - Ashraf A. Tabll
- Microbial Biotechnology Department, National Research Centre, Cairo 12622, Egypt
- Immunology Department, Egypt Center for Research and Regenerative Medicine (ECRRM), Cairo 11517, Egypt
| | - Yasser E. Shahein
- Molecular Biology Department, National Research Centre, Cairo 12622, Egypt
| | - Tarek M. Emran
- Clinical Pathology Department, Faculty of Medicine, Al-Azhar University, New Damietta 34517, Egypt;
| | - Ana Petrovic
- Faculty of Dental Medicine and Health Osijek, Josip Juraj Strossmayer University of Osijek, 31000 Osijek, Croatia; (A.P.); (N.R.L.); (R.S.); (T.K.)
| | - Nikola R. Lucic
- Faculty of Dental Medicine and Health Osijek, Josip Juraj Strossmayer University of Osijek, 31000 Osijek, Croatia; (A.P.); (N.R.L.); (R.S.); (T.K.)
| | - Robert Smolic
- Faculty of Dental Medicine and Health Osijek, Josip Juraj Strossmayer University of Osijek, 31000 Osijek, Croatia; (A.P.); (N.R.L.); (R.S.); (T.K.)
| | - Tanja Kovac
- Faculty of Dental Medicine and Health Osijek, Josip Juraj Strossmayer University of Osijek, 31000 Osijek, Croatia; (A.P.); (N.R.L.); (R.S.); (T.K.)
| | - Martina Smolic
- Faculty of Dental Medicine and Health Osijek, Josip Juraj Strossmayer University of Osijek, 31000 Osijek, Croatia; (A.P.); (N.R.L.); (R.S.); (T.K.)
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10
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Quek J, Tan DJH, Chan KE, Lim WH, Ng CH, Ren YP, Koh TK, Teh R, Xiao J, Fu C, Syn N, Teng M, Muthiah M, Fowler KJ, Sirlin CB, Loomba R, Huang DQ. Quality Assessment of Ultrasound and Magnetic Resonance Imaging for Hepatocellular Carcinoma Surveillance: A Systematic Review and Meta-Analysis. Dig Dis 2023; 41:757-766. [PMID: 37231918 DOI: 10.1159/000531016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/15/2022] [Accepted: 04/14/2023] [Indexed: 05/27/2023]
Abstract
INTRODUCTION To achieve early detection and curative treatment options, surveillance imaging for hepatocellular carcinoma (HCC) must remain of quality and without substantial limitations in liver visualization. However, the prevalence of limited liver visualization during HCC surveillance imaging has not been systematically assessed. Utilizing a systematic review and meta-analytic approach, we aimed to determine the prevalence of limited liver visualization during HCC surveillance imaging. METHODS MEDLINE and Embase electronic databases were searched to identify published data on liver visualization limitations of HCC surveillance imaging. An analysis of proportions was pooled using a generalized linear mixed model with Clopper-Pearson intervals. Risk factors were analysed using a generalized mixed model with a logit link and inverse variance weightage. RESULTS Of 683 records, 10 studies (7,131 patients) met inclusion criteria. Seven studies provided data on liver visualization limitations on ultrasound (US) surveillance exams: prevalence of limited liver visualization was 48.9% (95% CI: 23.5-74.9%) in the overall analysis and 59.2% (95% CI: 24.2-86.9%) in a sensitivity analysis for cirrhotic patients. Meta-regression determined that non-alcoholic fatty liver disease was associated with limited liver visualization on US. Four studies provided data for liver visualization limitations in abbreviated magnetic resonance imaging (aMRI), with inadequate visualization ranging from 5.8% to 19.0%. One study provided data for complete MRI and none for computed tomography. CONCLUSION A substantial proportion of US exams performed for HCC surveillance provide limited liver visualization, especially in cirrhosis, which may hinder detection of small observations. Alternative surveillance strategies including aMRI may be appropriate for patients with limited US visualization.
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Affiliation(s)
- Jingxuan Quek
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Darren Jun Hao Tan
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Kai En Chan
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Wen Hui Lim
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Cheng Han Ng
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Yi Ping Ren
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Teng Kiat Koh
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Readon Teh
- Division of Gastroenterology and Hepatology, Department of Medicine, National University Health System, Singapore, Singapore
| | - Jieling Xiao
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Clarissa Fu
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Nicholas Syn
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Margaret Teng
- Division of Gastroenterology and Hepatology, Department of Medicine, National University Health System, Singapore, Singapore
| | - Mark Muthiah
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Division of Gastroenterology and Hepatology, Department of Medicine, National University Health System, Singapore, Singapore
| | - Kathryn J Fowler
- Liver Imaging Group, Department of Radiology, University of California San Diego, La Jolla, California, USA
| | - Claude B Sirlin
- Liver Imaging Group, Department of Radiology, University of California San Diego, La Jolla, California, USA
| | - Rohit Loomba
- Division of Gastroenterology, NAFLD Research Center, University of California at San Diego, La Jolla, California, USA
| | - Daniel Q Huang
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Division of Gastroenterology and Hepatology, Department of Medicine, National University Health System, Singapore, Singapore
- Division of Gastroenterology, NAFLD Research Center, University of California at San Diego, La Jolla, California, USA
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11
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Bitzer M, Groß S, Albert J, Boda-Heggemann J, Brunner T, Caspari R, De Toni E, Dombrowski F, Evert M, Geier A, Gkika E, Götz M, Helmberger T, Hoffmann RT, Huppert P, Kautz A, Krug D, Fougère CL, Lang H, Lenz P, Lüdde T, Mahnken A, Nadalin S, Nguyen HHP, Ockenga J, Oldhafer K, Paprottka P, Pereira P, Persigehl T, Plentz R, Pohl J, Recken H, Reimer P, Riemer J, Ritterbusch U, Roeb E, Rüssel J, Schellhaas B, Schirmacher P, Schlitt HJ, Schmid I, Schuler A, Seehofer D, Sinn M, Stengel A, Stoll C, Tannapfel A, Taubert A, Tholen R, Trojan J, van Thiel I, Vogel A, Vogl T, Wacker F, Waidmann O, Wedemeyer H, Wege H, Wildner D, Wörns MA, Galle P, Malek N. [Not Available]. ZEITSCHRIFT FUR GASTROENTEROLOGIE 2023; 61:e92-e156. [PMID: 37040776 DOI: 10.1055/a-2026-1240] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/13/2023]
Affiliation(s)
- Michael Bitzer
- Abteilung für Gastroenterologie, Gastrointestinale Onkologie, Hepatologie, Infektiologie und Geriatrie, Eberhard-Karls Universität, Tübingen
| | - Sabrina Groß
- Abteilung für Gastroenterologie, Gastrointestinale Onkologie, Hepatologie, Infektiologie und Geriatrie, Eberhard-Karls Universität, Tübingen
| | - Jörg Albert
- Katharinenhospital, Klinik für Allgemeine Innere Medizin, Gastroenterologie, Hepatologie, Infektiologie und Pneumologie, Stuttgart
| | | | - Thomas Brunner
- Universitätsklinik für Strahlentherapie-Radioonkologie, Medizinische Universität Graz
| | - Reiner Caspari
- Klinik Niederrhein Erkrankungen des Stoffwechsels der Verdauungsorgane und Tumorerkrankungen, Bad Neuenahr-Ahrweiler
| | | | | | | | - Andreas Geier
- Medizinische Klinik und Poliklinik II, Universitätsklinikum Würzburg
| | - Eleni Gkika
- Klinik für Strahlenheilkunde, Department für Radiologische Diagnostik und Therapie, Universitätsklinikum Freiburg
| | - Martin Götz
- Medizinische Klinik IV - Gastroenterologie/Onkologie, Klinikverbund Südwest, Böblingen
| | - Thomas Helmberger
- Institut für Radiologie, Neuroradiologie und minimal invasive Therapie, München Klinik Bogenhausen
| | - Ralf-Thorsten Hoffmann
- Institut und Poliklinik für Diagnostische und Interventionelle Radiologie, Universitätsklinikum Dresden
| | - Peter Huppert
- Radiologisches Zentrum, Max Grundig Klinik, Bühlerhöhe
| | | | - David Krug
- Strahlentherapie Campus Kiel, Universitätsklinikum Schleswig-Holstein
| | - Christian La Fougère
- Nuklearmedizin und Klinische Molekulare Bildgebung, Eberhard-Karls Universität, Tübingen
| | - Hauke Lang
- Klinik für Allgemein-, Viszeral- und Transplantationschirurgie, Johannes Gutenberg-Universität, Mainz
| | - Philipp Lenz
- Zentrale Einrichtung Palliativmedizin, Universitätsklinikum Münster
| | - Tom Lüdde
- Medizinische Klinik für Gastroenterologie, Hepatologie und Infektiologie, Universitätsklinikum Düsseldorf
| | - Andreas Mahnken
- Klinik für Diagnostische und Interventionelle Radiologie, Universitätsklinikum Marburg
| | - Silvio Nadalin
- Klinik für Allgemein-, Viszeral- und Transplantationschrirugie, Eberhard-Karls Universität, Tübingen
| | | | - Johann Ockenga
- Medizinische Klinik II, Gesundheit Nord, Klinikverbund Bremen
| | - Karl Oldhafer
- Klinik für Leber-, Gallenwegs- und Pankreaschirurgie, Asklepios Klinik Barmbek
| | - Philipp Paprottka
- Sektion für Interventionelle Radiologie, Klinikum rechts der Isar, Technische Universität München
| | - Philippe Pereira
- Zentrum für Radiologie, Minimal-invasive Therapien und Nuklearmedizin, SLK-Klinken Heilbronn
| | - Thorsten Persigehl
- Institut für Diagnostische und Interventionelle Radiologie, Universitätsklinikum Köln
| | - Ruben Plentz
- Klinik für Innere Medizin, Gesundheit Nord, Klinikverbund Bremen
| | - Jürgen Pohl
- Abteilung für Gastroenterologie, Asklepios Klinik Altona
| | | | - Peter Reimer
- Institut für Diagnostische und Interventionelle Radiologie, Städtisches Klinikum Karlsruhe
| | | | | | - Elke Roeb
- Medizinische Klinik II Pneumologie, Nephrologie und Gastroenterologie, Universitätsklinikum Gießen
| | - Jörn Rüssel
- Medizinische Klinik IV Hämatologie und Onkologie, Universitätsklinikum Halle (Saale)
| | - Barbara Schellhaas
- Medizinische Klinik I Gastroenterologie, Pneumologie und Endokrinologie, Friedrich-Alexander-Universität, Erlangen
| | - Peter Schirmacher
- Allgemeine Pathologie und pathologische Anatomie, Universitätsklinikum Heidelberg
| | | | - Irene Schmid
- Kinderklinik und Kinderpoliklinik im Dr. von Haunerschen Kinderspital, LMU München
| | - Andreas Schuler
- Medizinische Klinik, Gastroenterologie, Alb-Fils-Kliniken, Geislingen an der Steige
| | - Daniel Seehofer
- Klinik und Poliklinik für Viszeral-, Transplantations-, Thorax- und Gefäßchirurgie, Universitätsklinikum Leipzig
| | - Marianne Sinn
- II. Medizinische Klinik und Poliklinik (Onkologie, Hämatologie, Knochenmarktransplantation mit Abteilung für Pneumologie), Universitätsklinikum Hamburg-Eppendorf
| | - Andreas Stengel
- Innere Medizin VI - Psychosomatische Medizin und Psychotherapie, Eberhard-Karls Universität, Tübingen
| | | | | | - Anne Taubert
- Klinische Sozialarbeit, Universitätsklinikum Heidelberg
| | - Reina Tholen
- Deutscher Bundesverband für Physiotherapie (ZVK) e. V
| | - Jörg Trojan
- Medizinische Klinik 1: Gastroenterologie und Hepatologie, Pneumologie und Allergologie, Endokrinologie und Diabetologie sowie Ernährungsmedizin, Goethe-Universität, Frankfurt
| | | | - Arndt Vogel
- Klinik für Gastroenterologie, Hepatologie und Endokrinologie, Medizinische Hochschule Hannover
| | - Thomas Vogl
- Institut für Diagnostische und Interventionelle Radiologie, Goethe-Universität, Frankfurt
| | - Frank Wacker
- Institut für Diagnostische und Interventionelle Radiologie, Medizinische Hochschule Hannover
| | | | - Heiner Wedemeyer
- Klinik für Gastroenterologie, Hepatologie und Endokrinologie, Medizinische Hochschule Hannover
| | - Henning Wege
- Klinik für Allgemeine Innere Medizin, Onkologie/Hämatologie, Gastroenterologie und Infektiologie, Klinikum Esslingen
| | - Dane Wildner
- Innere Medizin, Krankenhäuser Nürnberger Land GmbH, Standort Lauf
| | - Marcus-Alexander Wörns
- Klinik für Gastroenterologie, Hämatologie und internistische Onkologie und Endokrinologie, Klinikum Dortmund
| | - Peter Galle
- 1. Medizinische Klinik und Poliklinik, Gastroenterologie, Hepatologie, Nephrologie, Rheumatologie, Infektiologie, Johannes Gutenberg-Universität, Mainz
| | - Nisar Malek
- Abteilung für Gastroenterologie, Gastrointestinale Onkologie, Hepatologie, Infektiologie und Geriatrie, Eberhard-Karls Universität, Tübingen
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Wang R, Xu H, Chen W, Jin L, Ma Z, Wen L, Wang H, Cao K, Du X, Li M. Gadoxetic acid-enhanced MRI with a focus on LI-RADS v2018 imaging features predicts the prognosis after radiofrequency ablation in small hepatocellular carcinoma. Front Oncol 2023; 13:975216. [PMID: 36816925 PMCID: PMC9932892 DOI: 10.3389/fonc.2023.975216] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2022] [Accepted: 01/12/2023] [Indexed: 02/05/2023] Open
Abstract
Introduction Gadoxetic acid-enhanced magnetic resonance imaging (MRI) contributes to evaluating the prognosis of small hepatocellular carcinoma (sHCC) following treatment. We have investigated the potential role of gadoxetic acid-enhanced MRI based on LI-RADS (Liver Imaging Reporting and Data System) v2018 imaging features in the prognosis prediction of patients with sHCC treated with radiofrequency ablation (RFA) as the first-line treatment and formulated a predictive nomogram. Methods A total of 204 patients with sHCC who all received RFA as the first-line therapy were enrolled. All patients had undergone gadoxetic acid-enhanced MRI examinations before RFA. Uni- and multivariable analyses for RFS were assessing using a Cox proportional hazards model. A novel nomogram was further constructed for predicting RFS. The clinical capacity of the model was validated according to calibration curves, the concordance index (C-index), and decision curve analyses. Results Alpha fetoprotein (AFP) > 100 ng/ml (HR, 2.006; 95% CI, 1.111-3.621; P = 0.021), rim arterial phase hyperenhancement (APHE) (HR, 2.751; 95% CI, 1.511-5.011; P = 0.001), and targetoid restriction on diffusion-weighted imaging (DWI) (HR, 3.289; 95% CI, 1.832-5.906; P < 0.001) were considered as the independent risk features for recurrence in patients with sHCC treated with RFA. The calibration curves and C-indexes (C-index values of 0.758 and 0.807) showed the superior predictive performance of the integrated nomogram in both the training and validation groups. Discussion The gadoxetic acid-enhanced MRI features based on LI-RADS v2018, including rim APHE, targetoid restriction on DWI, and the AFP level, are the independent risk factors of recurrence in patients with sHCC treated with RFA as the first-line therapy. The predictive clinical-radiological nomogram model was constructed for clinicians to develop individualized treatment and surveillance strategies.
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Affiliation(s)
- Ruizhi Wang
- Department of Radiology, Huadong Hospital, Fudan University, Shanghai, China
| | - Hengtian Xu
- Department of Radiology, The Affiliated Hospital of Guizhou Medical University, Guiyang, China
| | - Wufei Chen
- Department of Radiology, Huadong Hospital, Fudan University, Shanghai, China
| | - Liang Jin
- Department of Radiology, Huadong Hospital, Fudan University, Shanghai, China
| | - Zhuangxuan Ma
- Department of Radiology, Huadong Hospital, Fudan University, Shanghai, China
| | - Lei Wen
- Department of Radiology, The Affiliated Hospital of Guizhou Medical University, Guiyang, China
| | - Hongwei Wang
- Department of General Surgery, Huadong Hospital, Fudan University, Shanghai, China
| | - Kun Cao
- Department of Hepatobiliary Surgery, The Affiliated Hospital of Guizhou Medical University, Guiyang, China
| | - Xia Du
- Department of Radiology, The Affiliated Hospital of Guizhou Medical University, Guiyang, China,*Correspondence: Xia Du, ; Ming Li,
| | - Ming Li
- Department of Radiology, Huadong Hospital, Fudan University, Shanghai, China,*Correspondence: Xia Du, ; Ming Li,
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Yue Q, Zhou Z, Zhang X, Xu X, Liu Y, Wang K, Liu Q, Wang J, Zhao Y, Yin Y. Contrast-enhanced CT findings-based model to predict MVI in patients with hepatocellular carcinoma. BMC Gastroenterol 2022; 22:544. [PMID: 36577952 PMCID: PMC9798548 DOI: 10.1186/s12876-022-02586-2] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/31/2022] [Accepted: 11/16/2022] [Indexed: 12/29/2022] Open
Abstract
BACKGROUND Microvascular invasion (MVI) is important in early recurrence and leads to poor overall survival (OS) in hepatocellular carcinoma (HCC). A number of studies have reported independent risk factors for MVI. In this retrospective study, we designed to develop a preoperative model for predicting the presence of MVI in HCC patients to help surgeons in their surgical decision-making and improve patient management. PATIENTS AND METHODS We developed a predictive model based on a nomogram in a training cohort of 225 HCC patients. We analyzed patients' clinical information, laboratory examinations, and imaging features from contrast-enhanced CT. Mann-Whitney U test and multiple logistic regression analysis were used to confirm independent risk factors and develop the predictive model. Internal and external validation was performed on 75 and 77 HCC patients, respectively. Moreover, the diagnostic performance of our model was evaluated using receiver operating characteristic (ROC) curves. RESULTS In the training cohort, maximum tumor diameter (> 50 mm), tumor margin, direct bilirubin (> 2.7 µmol/L), and AFP (> 360.7 ng/mL) were confirmed as independent risk factors for MVI. In the internal and external validation cohort, the developed nomogram model demonstrated good diagnostic ability for MVI with an area under the curve (AUC) of 0.723 and 0.829, respectively. CONCLUSION Based on routine clinical examinations, which may be helpful for clinical decision-making, we have developed a nomogram model that can successfully assess the risk of MVI in HCC patients preoperatively. When predicting HCC patients with a high risk of MVI, the surgeons may perform an anatomical or wide-margin hepatectomy on the patient.
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Affiliation(s)
- Qi Yue
- Department of Hepatobiliary Surgery, The Affiliated Drum Tower Hospital of Nanjing University Medical School, Nanjing, China
- Department of Hepatobiliary Surgery, Nanjing Drum Tower Hospital Clinical College of Jiangsu University, Nanjing, China
| | - Zheyu Zhou
- Department of Hepatobiliary Surgery, The Affiliated Drum Tower Hospital of Nanjing University Medical School, Nanjing, China
- Department of General Surgery, Nanjing Drum Tower Hospital, Chinese Academy of Medical Science & Peking Union Medical College, Graduate School of Peking Union Medical College, Nanjing, China
| | - Xudong Zhang
- Department of Hepato-Biliary-Pancreatic Surgery, The Affiliated Changzhou No.2 People’s Hospital of Nanjing Medical University, Changzhou, China
| | - Xiaoliang Xu
- Department of Hepatobiliary Surgery, The Affiliated Drum Tower Hospital of Nanjing University Medical School, Nanjing, China
| | - Yang Liu
- Department of Hepatobiliary Surgery, The Affiliated Drum Tower Hospital of Nanjing University Medical School, Nanjing, China
| | - Kun Wang
- Department of Hepatobiliary Surgery, The Affiliated Drum Tower Hospital of Nanjing University Medical School, Nanjing, China
| | - Qiaoyu Liu
- Department of Hepatobiliary Surgery, The Affiliated Drum Tower Hospital of Nanjing University Medical School, Nanjing, China
| | - Jincheng Wang
- Department of Hepatobiliary Surgery, The Affiliated Drum Tower Hospital of Nanjing University Medical School, Nanjing, China
| | - Yu Zhao
- Department of Medical Imaging, School of Medical Imaging, Nanjing Medical University, Jiangning, Nanjing, China
| | - Yin Yin
- Department of Hepatobiliary Surgery, The Affiliated Drum Tower Hospital of Nanjing University Medical School, Nanjing, China
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Kim JW, Lee CH, Kim KA, Lee J, Park YS. Abbreviated MRI with second shot arterial phase for HCC evaluation: modified version of LI-RADS and recall reduction strategy. Eur Radiol 2022; 33:4401-4411. [PMID: 36562784 DOI: 10.1007/s00330-022-09348-4] [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: 08/02/2022] [Revised: 10/19/2022] [Accepted: 11/29/2022] [Indexed: 12/24/2022]
Abstract
OBJECTIVES To evaluate the feasibility of simulated abbreviated MRI (AMRI) with second shot arterial phase (SSAP) for HCC surveillance and diagnosis. METHODS A total of 129 consecutive patients (age, 58.8 ± 11.4 years; male, 71.3%) underwent gadoxetic acid-enhanced MRI using a modified injection protocol for HCC evaluation from July 2017 to February 2018. The modified injection protocol consisted of routine dynamic imaging (6 mL) and SSAP imaging (4 mL). Two radiologists independently reviewed two AMRI sets: AMRI without SSAP (surveillance set) and AMRI with SSAP (diagnosis set). A modified version of the Liver Imaging Reporting and Data System (LI-RADS) for the diagnosis set was devised by referring to contrast-enhanced ultrasound LI-RADS. RESULTS Sixty-seven patients with HCC and 62 patients without HCC were included. In the surveillance set, sensitivity and specificity for the detection of patients with HCC were 95.5% and 96.8%, and 94.0% and 96.8% in reviewers 1 and 2, respectively. In the diagnosis set, the scores of most HCCs (76/78, 97.4%) were consistent between LI-RADS of full-protocol and modified LI-RADS of AMRI with SSAP protocol. When the HCC surveillance and diagnosis strategy was changed from strategy 1 (AMRI without SSAP) to strategy 2 (AMRI with SSAP), the recall rate significantly decreased from 52.7 to 3.9% (p < 0.001). CONCLUSIONS The modified LI-RADS score of the AMRI with SSAP protocol showed high agreement with the LI-RADS score of the full protocol. The HCC surveillance and diagnosis strategy using the AMRI with SSAP protocol reduced the recall rate. These results may enable to diagnose HCC simultaneously with surveillance. KEY POINTS • A modified version of LI-RADS was devised for the diagnostic algorithm using AMRI with the second shot arterial phase (SSAP) by referring to CEUS LI-RADS. • The modified LI-RADS scores using AMRI with SSAP showed a high concordance rate with the conventional LI-RADS score using full-protocol MRI. • The recall rate significantly decreased when the HCC surveillance and diagnosis strategy was changed from strategy 1 (AMRI without SSAP; surveillance then recall test) to strategy 2 (AMRI with SSAP; simultaneous surveillance and diagnosis).
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Affiliation(s)
- Jeong Woo Kim
- Department of Radiology, Korea University Guro Hospital, Korea University College of Medicine, 148 Gurodong-ro, Guro-gu, Seoul, 08380, Korea
| | - Chang Hee Lee
- Department of Radiology, Korea University Guro Hospital, Korea University College of Medicine, 148 Gurodong-ro, Guro-gu, Seoul, 08380, Korea.
| | - Kyeong Ah Kim
- Department of Radiology, Korea University Guro Hospital, Korea University College of Medicine, 148 Gurodong-ro, Guro-gu, Seoul, 08380, Korea
| | - Jongmee Lee
- Department of Radiology, Korea University Guro Hospital, Korea University College of Medicine, 148 Gurodong-ro, Guro-gu, Seoul, 08380, Korea
| | - Yang Shin Park
- Department of Radiology, Korea University Guro Hospital, Korea University College of Medicine, 148 Gurodong-ro, Guro-gu, Seoul, 08380, Korea
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Hou G, Xu W, Ding D, Tian T, Liu G, Yang Y, Liu H, Zhou W. Metabolome and transcriptome integration reveals metabolic profile of hepatocellular carcinoma. J Gastroenterol Hepatol 2022; 37:2321-2330. [PMID: 36208127 DOI: 10.1111/jgh.16024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/24/2022] [Revised: 08/23/2022] [Accepted: 09/26/2022] [Indexed: 12/13/2022]
Abstract
BACKGROUND AND AIM Accumulated evidence highlights the role of metabolites in cancer diagnosis. However, the diagnosis of hepatocellular carcinoma (HCC), especially its early diagnosis, is still very difficult. The main purposes of the study are to explore the comprehensive characteristic metabolites of HCC through an integrated nontargeted metabolomics and transcriptomics approach and evaluate the diagnostic value of some metabolic changes in HCC. METHODS Dysregulated metabolites and pathways in HCC were identified by nontargeted metabolomics analysis of 72 pairs of matched liver tissues, including HCC tissue (HCT) and adjacent noncancerous tissue (ANT). Meanwhile, to ensure the reliability of the results, metabolic enzymes were quantified at the mRNA level by RNA sequencing. To facilitate the utilization of this information, a diagnostic model was developed based on binary logistic regression using 63 HCC serum samples collected from the aforementioned 72 patients and 40 noncancer serum samples. RESULTS The results showed that 267 metabolites were significantly altered in HCT. These differential metabolites binding to related differential metabolic enzyme genes were enriched in 14 metabolic pathways. And combination of 5-oxoproline, taurocholenate sulfate, and maltose could be used as a novel candidate early serum diagnostic marker for HCC. CONCLUSIONS We profiled the metabolic features of HCC and found global biochemical pathway aberration. The diagnostic potential of differential metabolites found in serum tissues, further validated in liver samples, showed that 5-oxoproline, taurocholenate sulfate, and maltose combination had a high accuracy for hepatocellular carcinoma detection, especially for alpha fetoprotein negative patients.
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Affiliation(s)
- Guojun Hou
- The Third Department of Hepatic Surgery, Eastern Hepatobiliary Surgery Hospital, Second Military Medical University, Shanghai, China
| | - Wenfang Xu
- Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences and Institutes of Biomedical Sciences, Fudan University, Shanghai, China
| | - Dongyang Ding
- The Third Department of Hepatic Surgery, Eastern Hepatobiliary Surgery Hospital, Second Military Medical University, Shanghai, China
| | - Tao Tian
- The Third Department of Hepatic Surgery, Eastern Hepatobiliary Surgery Hospital, Second Military Medical University, Shanghai, China
| | - Gang Liu
- Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences and Institutes of Biomedical Sciences, Fudan University, Shanghai, China
| | - Yuan Yang
- The Third Department of Hepatic Surgery, Eastern Hepatobiliary Surgery Hospital, Second Military Medical University, Shanghai, China
| | - Hui Liu
- The Third Department of Hepatic Surgery, Eastern Hepatobiliary Surgery Hospital, Second Military Medical University, Shanghai, China
| | - Weiping Zhou
- The Third Department of Hepatic Surgery, Eastern Hepatobiliary Surgery Hospital, Second Military Medical University, Shanghai, China
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Performance of adding hepatobiliary phase image in magnetic resonance imaging for detection of hepatocellular carcinoma: a meta-analysis. Eur Radiol 2022; 32:7883-7895. [PMID: 35579711 DOI: 10.1007/s00330-022-08826-z] [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: 12/08/2021] [Revised: 03/02/2022] [Accepted: 04/20/2022] [Indexed: 02/07/2023]
Abstract
OBJECTIVES To determine the performance of diagnostic algorithm of adding hepatobiliary phase (HBP) images in Gd-EOB-DTPA-enhanced MRI for the detection of hepatocellular carcinoma (HCC) measuring up to 3 cm in patients with chronic liver disease. METHODS We searched multiple databases from inception to April 10, 2020, to identify studies on using Gd-EOB-DTPA-enhanced MRI for the diagnostic accuracy of HCC (≤ 3 cm) in patients with chronic liver disease. The diagnostic algorithm of Gd-EOB-DTPA-enhanced MRI with HBP for HCC was defined as a nodule showing hyperintensity during arterial phase and hypointensity during the portal venous, delayed, or hepatobiliary phases. For gadoxetic acid-enhanced MRI without HBP, the diagnostic criteria were a nodule showing arterial enhancement and hypointensity on the portal venous or delayed phases. The data were extracted to calculate summary estimates of sensitivity, specificity, diagnostic odds ratio, likelihood ratio, and summary receiver operating characteristic (sROC) by using a bivariate random-effects model. RESULTS Twenty-nine studies with 2696 HCC lesions were included. Overall Gd-EOB-DTPA-enhanced MRI with HBP had a sensitivity of 87%, specificity of 92%, and the area under the sROC curve of 95%. The summary sensitivity of Gd-EOB-DTPA-enhanced MRI with HBP was significantly higher than that without HBP (84% vs 68%, p = 0.01). CONCLUSION Gd-EOB-DTPA-enhanced MRI with HBP showed higher sensitivity than that without HBP and had comparable specificity for diagnosis of HCC in patients with chronic liver disease. KEY POINTS • Hypointensity on HBP is a major feature for diagnosis of HCC. • Extending washout appearance to the transitional or hepatobiliary phase on Gd-EOB-DTPA provides favorable sensitivity and comparable specificity for diagnosis HCC. • The summary sensitivity of gadoxetic acid-enhanced MRI with HBP was significantly higher than that without HBP (84% vs 68%, p = 0.01) for diagnosis of HCC in patients with chronic liver disease.
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Laparoscopic versus Robotic Hepatectomy: A Systematic Review and Meta-Analysis. J Clin Med 2022; 11:jcm11195831. [PMID: 36233697 PMCID: PMC9571364 DOI: 10.3390/jcm11195831] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2022] [Revised: 08/28/2022] [Accepted: 09/24/2022] [Indexed: 12/02/2022] Open
Abstract
This study aimed to assess the surgical outcomes of robotic compared to laparoscopic hepatectomy, with a special focus on the meta-analysis method. Original studies were collected from three Chinese databases, PubMed, EMBASE, and Cochrane Library databases. Our systematic review was conducted on 682 patients with robotic liver resection, and 1101 patients were operated by laparoscopic platform. Robotic surgery has a long surgical duration (MD = 43.99, 95% CI: 23.45-64.53, p = 0.0001), while there is no significant difference in length of hospital stay (MD = 0.10, 95% CI: -0.38-0.58, p = 0.69), blood loss (MD = -20, 95% CI: -64.90-23.34, p = 0.36), the incidence of conversion (OR = 0.84, 95% CI: 0.41-1.69, p = 0.62), and tumor size (MD = 0.30, 95% CI: -0-0.60, p = 0.05); the subgroup analysis of major and minor hepatectomy on operation time is (MD = -7.08, 95% CI: -15.22-0.07, p = 0.09) and (MD = 39.87, 95% CI: -1.70-81.44, p = 0.06), respectively. However, despite the deficiencies of robotic hepatectomy in terms of extended operation time compared to laparoscopic hepatectomy, robotic hepatectomy is still effective and equivalent to laparoscopic hepatectomy in outcomes. Scientific evaluation and research on one portion of the liver may produce more efficacity and more precise results. Therefore, more clinical trials are needed to evaluate the clinical outcomes of robotic compared to laparoscopic hepatectomy.
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Semalti K, Kilambi R, Pal S, Srivastava DN, Sahni P, Madhusudhan KS. Benign Hepatic Nodules in Patients With Primary Extrahepatic Portal Vein Obstruction: Clinical and Magnetic Resonance Imaging Features. J Clin Exp Hepatol 2022; 12:1301-1309. [PMID: 36157149 PMCID: PMC9499837 DOI: 10.1016/j.jceh.2022.04.015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/28/2022] [Accepted: 04/15/2022] [Indexed: 12/12/2022] Open
Abstract
Background/objective To retrospectively evaluate the magnetic resonance imaging (MRI) features of benign hepatic nodules in patients with extrahepatic portal vein obstruction (EHPVO) and assess predictable features for their development. Methods This retrospective observational study included 18 diagnosed patients of EHPVO who underwent contrast enhanced abdominal MRI at our Institute between June 2016 and May 2017, and who could be followed up for at least two years. The patients with liver nodules formed the study group (n = 8; 4 males, 4 females; mean age: 26.1 ± 10.9 years) and patients without liver nodules were controls (n = 10; 3 males, 7 females; mean age: 24.2 ± 15.1 years). Liver nodules were confirmed as benign by either biopsy or stability on follow up imaging. MRI features of liver nodules were assessed. Clinical details and imaging data of the study group were compared with controls to assess predictable features. Results There was no statistically significant difference in age, gender, clinical characteristics and upper gastrointestinal endoscopic findings between the study and control groups. The size of the lienorenal collateral, left renal vein and superior mesenteric vein were significantly larger in the study group (P < 0.05). In the study group, the majority had multiple hepatic nodules with most of them being isointense on T1 (18/35; 51.4%) and T2-weighted images (16/35; 45.7%) and showing restriction of diffusion (21/35; 60%). All (n = 35) lesions showed arterial phase hyperenhancement and none showed washout in the venous phase. The patients in the control group did not develop any liver nodules during the follow-up period. Conclusion Liver nodules in patients with EHPVO are likely to be benign and have characteristic MRI features. Significantly larger lienorenal collateral, left renal vein and superior mesenteric vein were associated with the development of these nodules.
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Affiliation(s)
- Kapil Semalti
- Department of Radiodiagnosis and Interventional Radiology. All India Institute of Medical Sciences, Ansari Nagar, New Delhi, 110029, India
| | - Ragini Kilambi
- Department of Gastrointestinal Surgery, Institute of Liver and Biliary Sciences, Vasant Kunj, New Delhi, 110070, India
| | - Sujoy Pal
- Department of Gastrointestinal Surgery, All India Institute of Medical Sciences, Ansari Nagar, New Delhi, 110029, India
| | - Deep N. Srivastava
- Department of Radiodiagnosis and Interventional Radiology. All India Institute of Medical Sciences, Ansari Nagar, New Delhi, 110029, India
| | - Peush Sahni
- Department of Gastrointestinal Surgery, All India Institute of Medical Sciences, Ansari Nagar, New Delhi, 110029, India
| | - Kumble S. Madhusudhan
- Department of Radiodiagnosis and Interventional Radiology. All India Institute of Medical Sciences, Ansari Nagar, New Delhi, 110029, India
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Chen YD, Zhang L, Zhou ZP, Lin B, Jiang ZJ, Tang C, Dang YW, Xia YW, Song B, Long LL. Radiomics and nomogram of magnetic resonance imaging for preoperative prediction of microvascular invasion in small hepatocellular carcinoma. World J Gastroenterol 2022; 28:4399-4416. [PMID: 36159011 PMCID: PMC9453772 DOI: 10.3748/wjg.v28.i31.4399] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/14/2021] [Revised: 02/05/2022] [Accepted: 07/24/2022] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND Microvascular invasion (MVI) of small hepatocellular carcinoma (sHCC) (≤ 3.0 cm) is an independent prognostic factor for poor progression-free and overall survival. Radiomics can help extract imaging information associated with tumor pathophysiology. AIM To develop and validate radiomics scores and a nomogram of gadolinium ethoxybenzyl-diethylenetriamine pentaacetic acid (Gd-EOB-DTPA)-enhanced magnetic resonance imaging (MRI) for preoperative prediction of MVI in sHCC. METHODS In total, 415 patients were diagnosed with sHCC by postoperative pathology. A total of 221 patients were retrospectively included from our hospital. In addition, we recruited 94 and 100 participants as independent external validation sets from two other hospitals. Radiomics models of Gd-EOB-DTPA-enhanced MRI and diffusion-weighted imaging (DWI) were constructed and validated using machine learning. As presented in the radiomics nomogram, a prediction model was developed using multivariable logistic regression analysis, which included radiomics scores, radiologic features, and clinical features, such as the alpha-fetoprotein (AFP) level. The calibration, decision-making curve, and clinical usefulness of the radiomics nomogram were analyzed. The radiomic nomogram was validated using independent external cohort data. The areas under the receiver operating curve (AUC) were used to assess the predictive capability. RESULTS Pathological examination confirmed MVI in 64 (28.9%), 22 (23.4%), and 16 (16.0%) of the 221, 94, and 100 patients, respectively. AFP, tumor size, non-smooth tumor margin, incomplete capsule, and peritumoral hypointensity in hepatobiliary phase (HBP) images had poor diagnostic value for MVI of sHCC. Quantitative radiomic features (1409) of MRI scans) were extracted. The classifier of logistic regression (LR) was the best machine learning method, and the radiomics scores of HBP and DWI had great diagnostic efficiency for the prediction of MVI in both the testing set (hospital A) and validation set (hospital B, C). The AUC of HBP was 0.979, 0.970, and 0.803, respectively, and the AUC of DWI was 0.971, 0.816, and 0.801 (P < 0.05), respectively. Good calibration and discrimination of the radiomics and clinical combined nomogram model were exhibited in the testing and two external validation cohorts (C-index of HBP and DWI were 0.971, 0.912, 0.808, and 0.970, 0.843, 0.869, respectively). The clinical usefulness of the nomogram was further confirmed using decision curve analysis. CONCLUSION AFP and conventional Gd-EOB-DTPA-enhanced MRI features have poor diagnostic accuracies for MVI in patients with sHCC. Machine learning with an LR classifier yielded the best radiomics score for HBP and DWI. The radiomics nomogram developed as a noninvasive preoperative prediction method showed favorable predictive accuracy for evaluating MVI in sHCC.
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Affiliation(s)
- Yi-Di Chen
- Department of Radiology, The First Affiliated Hospital of Guangxi Medical University, Nanning 530021, Guangxi Zhuang Autonomous Region, China
| | - Ling Zhang
- Department of Radiology, The First Affiliated Hospital of Guangxi Medical University, Nanning 530021, Guangxi Zhuang Autonomous Region, China
| | - Zhi-Peng Zhou
- Department of Radiology, Affiliated Hospital of Guilin Medical University, Guilin 541001, Guangxi Zhuang Autonomous Region, China
| | - Bin Lin
- Department of Radiology, Affiliated Hospital of Guilin Medical University, Guilin 541001, Guangxi Zhuang Autonomous Region, China
| | - Zi-Jian Jiang
- Department of Radiology, The First Affiliated Hospital of Guangxi Medical University, Nanning 530021, Guangxi Zhuang Autonomous Region, China
| | - Cheng Tang
- Department of Radiology, The First Affiliated Hospital of Guangxi Medical University, Nanning 530021, Guangxi Zhuang Autonomous Region, China
| | - Yi-Wu Dang
- Department of Pathology, The First Affiliated Hospital of Guangxi Medical University, Nanning 5350021, Guangxi Zhuang Autonomous Region, China
| | - Yu-Wei Xia
- Department of Technology, Huiying Medical Technology (Beijing), Beijing 100192, China
| | - Bin Song
- Department of Radiology, West China Hospital, Sichuan University, Chengdu 610041, Sichuan Province, China
| | - Li-Ling Long
- Department of Radiology, The First Affiliated Hospital of Guangxi Medical University, Nanning 530021, Guangxi Zhuang Autonomous Region, China
- Key Laboratory of Early Prevention and Treatment for Regional High Frequency Tumor, Ministry of Education, Guangxi Medical University, Nanning 530021, Guangxi Zhuang Autonomous Region, China
- Guangxi Key Laboratory of Immunology and Metabolism for Liver Diseases, First Affiliated Hospital of Guangxi Medical University, Nanning 530021, Guangxi Zhuang Autonomous Region, China
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20
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Wu CH, Lee YH, Liang PC, Hu RH, Shih TTF, Ho MC. Predictors of changes in preoperative tumor stage between dynamic computed tomography and gadoxetate disodium-enhanced magnetic resonance imaging for hepatocellular carcinoma. J Formos Med Assoc 2022; 121:1550-1559. [PMID: 35033411 DOI: 10.1016/j.jfma.2021.12.026] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2021] [Revised: 08/27/2021] [Accepted: 12/28/2021] [Indexed: 02/08/2023] Open
Abstract
BACKGROUND/PURPOSE Gadoxetate disodium-enhanced magnetic resonance imaging (EOB-MRI) has a higher diagnostic accuracy for hepatocellular carcinoma (HCC) than computed tomography (CT). However, indications for performing EOB-MRI after dynamic CT are not well defined. Therefore, we investigated the clinical factors associated with changes in the preoperative tumor stage between dynamic CT and EOB-MRI. METHODS A prospective cohort was conducted from January 2014 to December 2017. 156 adult patients with clinical suspicion of HCC before liver resection were enrolled and we retrospectively reviewed the images. The tumor staging was evaluated by dynamic CT and then EOB-MRI subsequently according to the TNM staging system. The changes in tumor stage between two modalities were identified, and the associated clinical factors were analyzed. RESULTS A total of 99 patients were analyzed after excluding 57 patients. 20 patients (20.2%) had changes in tumor stage between dynamic CT and EOB-MRI. The change occurred only in early stage (T1 and T2 lesions) based on dynamic CT initially. Furthermore, in univariate and multivariate analyses, albumin-bilirubin (ALBI) grade 2 and log alpha-fetoprotein (AFP) levels were associated with changes in tumor staging by EOB-MRI than those without (50% vs. 9.9%, p < 0.001 and 2.04 ± 1.35 vs. 1.40 ± 1.16, p = 0.038, respectively). Patients with changes in tumor stage also exhibited higher 1-year recurrence rate and shorter recurrence-free survival. CONCLUSION Changes in preoperative tumor stage between dynamic CT and EOB-MRI were associated with CT-defined early stage, ALBI grades, higher log AFP levels, and early recurrence.
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Affiliation(s)
- Chih-Horng Wu
- Department of Medical Imaging, National Taiwan University Hospital and College of Medicine, National Taiwan University, Taipei, Taiwan; Department of Radiology, National Taiwan University Hospital and College of Medicine, National Taiwan University, Taipei, Taiwan; Graduate Institute of Clinical Medicine, College of Medicine, National Taiwan University, Taipei, Taiwan
| | - Yu-Hsin Lee
- Department of Surgery, National Taiwan University Hospital and College of Medicine, National Taiwan University, Taipei, Taiwan
| | - Po-Chin Liang
- Department of Medical Imaging, National Taiwan University Hospital and College of Medicine, National Taiwan University, Taipei, Taiwan; Department of Radiology, National Taiwan University Hospital and College of Medicine, National Taiwan University, Taipei, Taiwan
| | - Rey-Heng Hu
- Department of Surgery, National Taiwan University Hospital and College of Medicine, National Taiwan University, Taipei, Taiwan
| | - Tiffany Ting-Fang Shih
- Department of Medical Imaging, National Taiwan University Hospital and College of Medicine, National Taiwan University, Taipei, Taiwan; Department of Radiology, National Taiwan University Hospital and College of Medicine, National Taiwan University, Taipei, Taiwan
| | - Ming-Chih Ho
- Department of Surgery, National Taiwan University Hospital and College of Medicine, National Taiwan University, Taipei, Taiwan; Center for Functional Image and Interventional Image, National Taiwan University, Taipei, Taiwan; Department of Surgery, National Taiwan University Hospital Hsin-Chu Branch, Hsin-Chu, Taiwan.
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21
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Kupffer Phase Radiomics Signature in Sonazoid-Enhanced Ultrasound is an Independent and Effective Predictor of the Pathologic Grade of Hepatocellular Carcinoma. JOURNAL OF ONCOLOGY 2022; 2022:6123242. [PMID: 35794982 PMCID: PMC9252702 DOI: 10.1155/2022/6123242] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/21/2022] [Revised: 05/25/2022] [Accepted: 05/27/2022] [Indexed: 11/18/2022]
Abstract
We conduct this study to investigate the value of Kupffer phase radiomics signature of Sonazoid-enhanced ultrasound images (SEUS) for the preoperative prediction of hepatocellular carcinoma (HCC) grade. From November 2019 to October 2021, 68 pathologically confirmed HCC nodules from 54 patients were included. Quantitative radiomic features were extracted from grayscale images and arterial and Kupffer phases of SEUS of HCC lesions. Univariate logistic regression and the maximum relevance minimum redundancy (MRMR) method were applied to select radiomic features best corresponding to pathological results. Prediction radiomic signature was calculated using each of the image types. A predictive model was validated using internal leave-one-out cross validation (LOOCV). For discrimination between poorly differentiated HCC (p-HCC) and well-differentiated HCC/moderately differentiated HCC (w/m-HCC), the Kupffer phase radiomic score (KPRS) achieved an excellent area under the curve (AUC = 0.937), significantly higher than the other two radiomic signatures. KPRS was the best radiomic score based on the highest AUC (AUC = 0.878), which is prior to gray and arterial RS for differentiation between w-HCC and m/p-HCC. Univariate and multivariate analysis incorporating all radiomic signatures and serological variables showed that KPRS was the only independent predictor in both predictions of HCC lesions (p-HCC vs. w/m-HCC, log OR 15.869, P < 0.001, m/p-HCC vs. w-HCC, log OR 12.520, P < 0.05). We conclude that radiomics signature based on the Kupffer phase imaging may be useful for identifying the histological grade of HCC. The Kupffer phase radiomic signature may be an independent and effective predictor in discriminating w-HCC and p-HCC.
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22
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Wu Y, Zhu M, Liu Y, Cao X, Zhang G, Yin L. Peritumoral Imaging Manifestations on Gd-EOB-DTPA-Enhanced MRI for Preoperative Prediction of Microvascular Invasion in Hepatocellular Carcinoma: A Systematic Review and Meta-Analysis. Front Oncol 2022; 12:907076. [PMID: 35814461 PMCID: PMC9263828 DOI: 10.3389/fonc.2022.907076] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2022] [Accepted: 05/25/2022] [Indexed: 11/13/2022] Open
Abstract
PURPOSE The aim was to investigate the association between microvascular invasion (MVI) and the peritumoral imaging features of gadolinium ethoxybenzyl DTPA-enhanced magnetic resonance imaging (Gd-EOB-DTPA-enhanced MRI) in hepatocellular carcinoma (HCC). METHODS Up until Feb 24, 2022, the PubMed, Embase, and Cochrane Library databases were carefully searched for relevant material. The software packages utilized for this meta-analysis were Review Manager 5.4.1, Meta-DiSc 1.4, and Stata16.0. Summary results are presented as sensitivity (SEN), specificity (SPE), diagnostic odds ratios (DORs), area under the receiver operating characteristic curve (AUC), and 95% confidence interval (CI). The sources of heterogeneity were investigated using subgroup analysis. RESULTS An aggregate of nineteen articles were remembered for this meta-analysis: peritumoral enhancement on the arterial phase (AP) was described in 13 of these studies and peritumoral hypointensity on the hepatobiliary phase (HBP) in all 19 studies. The SEN, SPE, DOR, and AUC of the 13 investigations on peritumoral enhancement on AP were 0.59 (95% CI, 0.41-0.58), 0.80 (95% CI, 0.75-0.85), 4 (95% CI, 3-6), and 0.73 (95% CI, 0.69-0.77), respectively. The SEN, SPE, DOR, and AUC of 19 studies on peritumoral hypointensity on HBP were 0.55 (95% CI, 0.45-0.64), 0.87 (95% CI, 0.81-0.91), 8 (95% CI, 5-12), and 0.80 (95% CI, 0.76-0.83), respectively. The subgroup analysis of two imaging features identified ten and seven potential factors for heterogeneity, respectively. CONCLUSION The results of peritumoral enhancement on the AP and peritumoral hypointensity on HBP showed high SPE but low SEN. This indicates that the peritumoral imaging features on Gd-EOB-DTPA-enhanced MRI can be used as a noninvasive, excluded diagnosis for predicting hepatic MVI in HCC preoperatively. Moreover, the results of this analysis should be updated when additional data become available. Additionally, in the future, how to improve its SEN will be a new research direction.
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Affiliation(s)
- Ying Wu
- Department of Radiology, Sichuan Provincial People’s Hospital, University of Electronic Science and Technology of China, Chengdu, China
- Department of Radiology, Affiliated Hospital of North Sichuan Medical College, Nanchong, China
| | - Meilin Zhu
- Department of Radiology, Sichuan Provincial People’s Hospital, University of Electronic Science and Technology of China, Chengdu, China
| | - Yiming Liu
- Department of Radiology, Affiliated Hospital of Southwest Medical University, Luzhou, China
| | - Xinyue Cao
- Department of Radiology, Sichuan Provincial People’s Hospital, University of Electronic Science and Technology of China, Chengdu, China
| | - Guojin Zhang
- Department of Radiology, Sichuan Provincial People’s Hospital, University of Electronic Science and Technology of China, Chengdu, China
| | - Longlin Yin
- Department of Radiology, Sichuan Provincial People’s Hospital, University of Electronic Science and Technology of China, Chengdu, China
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MVI-Mind: A Novel Deep-Learning Strategy Using Computed Tomography (CT)-Based Radiomics for End-to-End High Efficiency Prediction of Microvascular Invasion in Hepatocellular Carcinoma. Cancers (Basel) 2022; 14:cancers14122956. [PMID: 35740620 PMCID: PMC9221272 DOI: 10.3390/cancers14122956] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2022] [Revised: 05/24/2022] [Accepted: 06/09/2022] [Indexed: 12/12/2022] Open
Abstract
Simple Summary Microvascular invasion is an important indicator for reflecting the prognosis of hepatocellular carcinoma, but the traditional diagnosis requires a postoperative pathological examination. This study is the first to propose an end-to-end deep learning architecture for predicting microvascular invasion in hepatocellular carcinoma by collecting retrospective data. This method can achieve noninvasive, accurate and efficient preoperative prediction only through the patient’s radiomic data, which is very beneficial to doctors for clinical decision making in HCC patients. Abstract Microvascular invasion (MVI) in hepatocellular carcinoma (HCC) directly affects a patient’s prognosis. The development of preoperative noninvasive diagnostic methods is significant for guiding optimal treatment plans. In this study, we investigated 138 patients with HCC and presented a novel end-to-end deep learning strategy based on computed tomography (CT) radiomics (MVI-Mind), which integrates data preprocessing, automatic segmentation of lesions and other regions, automatic feature extraction, and MVI prediction. A lightweight transformer and a convolutional neural network (CNN) were proposed for the segmentation and prediction modules, respectively. To demonstrate the superiority of MVI-Mind, we compared the framework’s performance with that of current, mainstream segmentation, and classification models. The test results showed that MVI-Mind returned the best performance in both segmentation and prediction. The mean intersection over union (mIoU) of the segmentation module was 0.9006, and the area under the receiver operating characteristic curve (AUC) of the prediction module reached 0.9223. Additionally, it only took approximately 1 min to output a prediction for each patient, end-to-end using our computing device, which indicated that MVI-Mind could noninvasively, efficiently, and accurately predict the presence of MVI in HCC patients before surgery. This result will be helpful for doctors to make rational clinical decisions.
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Lv K, Cao X, Du P, Fu JY, Geng DY, Zhang J. Radiomics for the detection of microvascular invasion in hepatocellular carcinoma. World J Gastroenterol 2022; 28:2176-2183. [PMID: 35721882 PMCID: PMC9157623 DOI: 10.3748/wjg.v28.i20.2176] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/16/2021] [Revised: 01/09/2022] [Accepted: 04/25/2022] [Indexed: 02/06/2023] Open
Abstract
Hepatocellular carcinoma (HCC) is the most common primary liver cancer, accounting for about 90% of liver cancer cases. It is currently the fifth most common cancer in the world and the third leading cause of cancer-related mortality. Moreover, recurrence of HCC is common. Microvascular invasion (MVI) is a major factor associated with recurrence in postoperative HCC. It is difficult to evaluate MVI using traditional imaging modalities. Currently, MVI is assessed primarily through pathological and immunohistochemical analyses of postoperative tissue samples. Needle biopsy is the primary method used to confirm MVI diagnosis before surgery. As the puncture specimens represent just a small part of the tumor, and given the heterogeneity of HCC, biopsy samples may yield false-negative results. Radiomics, an emerging, powerful, and non-invasive tool based on various imaging modalities, such as computed tomography, magnetic resonance imaging, ultrasound, and positron emission tomography, can predict the HCC-MVI status preoperatively by delineating the tumor and/or the regions at a certain distance from the surface of the tumor to extract the image features. Although positive results have been reported for radiomics, its drawbacks have limited its clinical translation. This article reviews the application of radiomics, based on various imaging modalities, in preoperative evaluation of HCC-MVI and explores future research directions that facilitate its clinical translation.
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Affiliation(s)
- Kun Lv
- Department of Radiology, Huashan Hospital, Fudan University, Shanghai 200040, China
| | - Xin Cao
- Department of Radiology, Huashan Hospital, Fudan University, Shanghai 200040, China
- Institute of Functional and Molecular Medical Imaging, Fudan University, Shanghai 200040, China
- Center for Shanghai Intelligent Imaging for Critical Brain Diseases Engineering and Technology Research, Science and Technology Commission of Shanghai Municipality, Shanghai 200040, China
- Institute of Intelligent Imaging Phenomics, International Human Phenome Institutes (Shanghai), Shanghai 200040, China
| | - Peng Du
- Department of Radiology, Huashan Hospital, Fudan University, Shanghai 200040, China
| | - Jun-Yan Fu
- Department of Radiology, Huashan Hospital, Fudan University, Shanghai 200040, China
| | - Dao-Ying Geng
- Department of Radiology, Huashan Hospital, Fudan University, Shanghai 200040, China
- Institute of Functional and Molecular Medical Imaging, Fudan University, Shanghai 200040, China
- Center for Shanghai Intelligent Imaging for Critical Brain Diseases Engineering and Technology Research, Science and Technology Commission of Shanghai Municipality, Shanghai 200040, China
- Institute of Intelligent Imaging Phenomics, International Human Phenome Institutes (Shanghai), Shanghai 200040, China
| | - Jun Zhang
- Department of Radiology, Huashan Hospital, Fudan University, Shanghai 200040, China
- Institute of Functional and Molecular Medical Imaging, Fudan University, Shanghai 200040, China
- Center for Shanghai Intelligent Imaging for Critical Brain Diseases Engineering and Technology Research, Science and Technology Commission of Shanghai Municipality, Shanghai 200040, China
- Institute of Intelligent Imaging Phenomics, International Human Phenome Institutes (Shanghai), Shanghai 200040, China
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Fan T, Li S, Li K, Xu J, Zhao S, Li J, Zhou X, Jiang H. A Potential Prognostic Marker for Recognizing VEGF-Positive Hepatocellular Carcinoma Based on Magnetic Resonance Radiomics Signature. Front Oncol 2022; 12:857715. [PMID: 35444942 PMCID: PMC9013965 DOI: 10.3389/fonc.2022.857715] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2022] [Accepted: 03/11/2022] [Indexed: 11/28/2022] Open
Abstract
Objectives The objective of our project is to explore a noninvasive radiomics model based on magnetic resonance imaging (MRI) that could recognize the expression of vascular endothelial growth factor (VEGF) in hepatocellular carcinoma before operation. Methods 202 patients with proven single HCC were enlisted and stochastically distributed into a training set (n = 142) and a test set (n = 60). Arterial phase, portal venous phase, balanced phase, delayed phase, and hepatobiliary phase images were used to radiomics features extraction. We retrieved 1906 radiomic features from each phase of every participant’s MRI images. The F-test was applied to choose the crucial features. A logistic regression model was adopted to generate a radiomics signature. By combining independent risk indicators from the fusion radiomics signature and clinico-radiological features, we developed a multivariable logistic regression model that could predict the VEGF status preoperatively through calculating the area under the curve (AUC). Results The entire group comprised 108 VEGF-positive individuals and 94 VEGF-negative patients. AUCs of 0.892 (95% confidence interval [CI]: 0.839 - 0.945) in the training dataset and 0.800 (95% CI: 0.682 - 0.918) in the test dataset were achieved by utilizing radiomics features from two phase images (8 features from the portal venous phase and 5 features from the hepatobiliary phase). Furthermore, the nomogram relying on a combined model that included the clinical factors α-fetoprotein (AFP), irregular tumor margin, and the fusion radiomics signature performed well in both the training (AUC = 0.936, 95% CI: 0.898-0.974) and test (AUC = 0.836, 95% CI: 0.728-0.944) datasets. Conclusions The combined model acquired from two phase (portal venous and hepatobiliary phase) pictures of gadolinium-ethoxybenzyl-diethylenetriamine-pentaacetic acid (Gd-EOB-DTPA)-enhanced MRI could be considered as a credible prognostic marker for the level of VEGF in HCC.
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Affiliation(s)
- Tingting Fan
- Department of Radiology, The Second Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Shijie Li
- Department of Interventional Radiology, Harbin Medical University Cancer Hospital, Harbin, China
| | - Kai Li
- Department of Interventional Radiology, Harbin Medical University Cancer Hospital, Harbin, China
| | - Jingxu Xu
- Department of Research Collaboration, Research and Development (R&D) Center, Beijing Deepwise & League of Doctor of Philosophy (PHD) Technology Co., Ltd, Beijing, China
| | - Sheng Zhao
- Department of Radiology, The Second Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Jinping Li
- Department of Radiology, The Second Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Xinglu Zhou
- Department of Positron Emission Tomography/Computed Tomography (PET/CT) Center, Harbin Medical University Cancer Hospital, Harbin, China
| | - Huijie Jiang
- Department of Radiology, The Second Affiliated Hospital of Harbin Medical University, Harbin, China
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Li L, Wu C, Huang Y, Chen J, Ye D, Su Z. Radiomics for the Preoperative Evaluation of Microvascular Invasion in Hepatocellular Carcinoma: A Meta-Analysis. Front Oncol 2022; 12:831996. [PMID: 35463303 PMCID: PMC9021380 DOI: 10.3389/fonc.2022.831996] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2021] [Accepted: 03/11/2022] [Indexed: 12/12/2022] Open
Abstract
Background Microvascular invasion (MVI) is an independent risk factor for postoperative recurrence of hepatocellular carcinoma (HCC). To perform a meta-analysis to investigate the diagnostic performance of radiomics for the preoperative evaluation of MVI in HCC and the effect of potential factors. Materials and Methods A systematic literature search was performed in PubMed, Embase, and the Cochrane Library for studies focusing on the preoperative evaluation of MVI in HCC with radiomics methods. Data extraction and quality assessment of the retrieved studies were performed. Statistical analysis included data pooling, heterogeneity testing and forest plot construction. Meta-regression and subgroup analyses were performed to reveal the effect of potential explanatory factors [design, combination of clinical factors, imaging modality, number of participants, and Quality Assessment of Diagnostic Accuracy Studies 2 (QUADAS-2) applicability risk] on the diagnostic performance. Results Twenty-two studies with 4,129 patients focusing on radiomics for the preoperative prediction of MVI in HCC were included. The pooled sensitivity, specificity and area under the receiver operating characteristic curve (AUC) were 84% (95% CI: 81, 87), 83% (95% CI: 78, 87) and 0.90 (95% CI: 0.87, 0.92). Substantial heterogeneity was observed among the studies (I²=94%, 95% CI: 88, 99). Meta-regression showed that all investigative covariates contributed to the heterogeneity in the sensitivity analysis (P < 0.05). Combined clinical factors, MRI, CT and number of participants contributed to the heterogeneity in the specificity analysis (P < 0.05). Subgroup analysis showed that the pooled sensitivity, specificity and AUC estimates were similar among studies with CT or MRI. Conclusion Radiomics is a promising noninvasive method that has high preoperative diagnostic performance for MVI status. Radiomics based on CT and MRI had a comparable predictive performance for MVI in HCC. Prospective, large-scale and multicenter studies with radiomics methods will improve the diagnostic power for MVI in the future. Systematic Review Registration https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=259363, identifier CRD42021259363.
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Affiliation(s)
- Liujun Li
- Department of Ultrasound, The Fifth Affiliated Hospital of Sun Yat-Sen University, Zhuhai, China
- Guangdong Provincial Key Laboratory of Biomedical Imaging and Guangdong Provincial Engineering Research Center of Molecular Imaging, The Fifth Affiliated Hospital of Sun Yat-sen University, Zhuhai, China
| | - Chaoqun Wu
- Department of Ultrasound, The Fifth Affiliated Hospital of Sun Yat-Sen University, Zhuhai, China
- Guangdong Provincial Key Laboratory of Biomedical Imaging and Guangdong Provincial Engineering Research Center of Molecular Imaging, The Fifth Affiliated Hospital of Sun Yat-sen University, Zhuhai, China
| | - Yongquan Huang
- Department of Ultrasound, The Fifth Affiliated Hospital of Sun Yat-Sen University, Zhuhai, China
- Guangdong Provincial Key Laboratory of Biomedical Imaging and Guangdong Provincial Engineering Research Center of Molecular Imaging, The Fifth Affiliated Hospital of Sun Yat-sen University, Zhuhai, China
| | - Jiaxin Chen
- Department of Ultrasound, The Fifth Affiliated Hospital of Sun Yat-Sen University, Zhuhai, China
| | - Dalin Ye
- Department of Ultrasound, The Fifth Affiliated Hospital of Sun Yat-Sen University, Zhuhai, China
| | - Zhongzhen Su
- Department of Ultrasound, The Fifth Affiliated Hospital of Sun Yat-Sen University, Zhuhai, China
- Guangdong Provincial Key Laboratory of Biomedical Imaging and Guangdong Provincial Engineering Research Center of Molecular Imaging, The Fifth Affiliated Hospital of Sun Yat-sen University, Zhuhai, China
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27
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The Value of Color Doppler Ultrasound and CT Combined with Serum AFP Examination in the Diagnosis of Hepatocellular Carcinoma. JOURNAL OF HEALTHCARE ENGINEERING 2022; 2022:4147753. [PMID: 35378937 PMCID: PMC8976622 DOI: 10.1155/2022/4147753] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/18/2022] [Revised: 03/03/2022] [Accepted: 03/07/2022] [Indexed: 12/24/2022]
Abstract
Objective To evaluate the value of the combination of color Doppler ultrasound, computed tomography (CT), and serum tumor marker alpha-fetoprotein (AFP) examination in the diagnosis of hepatocellular carcinoma (HCC). Methods 98 patients with HCC (malignant tumor group) and 50 liver lesion patients (benign control group), were selected for the study, and retrospective statistical methods were used to evaluate the diagnostic values of the three examinations on hepatocellular carcinoma. Results (1) When comparing color Doppler ultrasound blood flow parameters, the hepatic artery diameter, peak flow velocity, minimum flow velocity, and resistance index (RI) of hepatocellular carcinoma were significantly higher than those of the benign control group (P < 0.05), while the portal vein flow velocity was significantly lower than that of the control group (P < 0.05). (2) Enhanced CT imaging of hepatocellular carcinoma lesions showed mostly outflow-type enhancement changes, with high- or slightly high-density shadowing and uneven enhancement in the arterial phase, relatively low density and withdrawal of enhancement in the portal vein phase and delayed phase. (3) The serum AFP level of hepatocellular carcinoma patients was significantly higher than that of the benign control group (P < 0.01). (4) The sensitivity of color Doppler ultrasound, CT, and serum AFP alone for the diagnosis of HCC was 79.59%, 85.71%, and 66.33%, and the accuracy was 83.78%, 87.16%, and 74.32%, respectively, while the combination of the three tests could significantly increase the sensitivity to 96.94% and the accuracy to 93.92%, compared with each individual test (P < 0.01). Conclusion Color Doppler ultrasound and CT combined with serum AFP examination could significantly improve the sensitivity and accuracy of hepatocellular carcinoma diagnosis, reduce misdiagnosis, and facilitate early diagnosis and clinical early intervention.
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Voesch S, Bitzer M, Malek N. [Clinical relevance of the new S3 guideline on hepatocellular carcinoma and biliary tract cancer for practitioners]. Radiologe 2022; 62:200-204. [PMID: 35147708 DOI: 10.1007/s00117-022-00970-3] [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] [Accepted: 01/17/2022] [Indexed: 01/27/2023]
Abstract
The update of the S3 German guideline for the management of the hepatocellular carcinoma and biliary tract cancer contains a comprehensive revision of the guideline for hepatocellular carcinoma and establishes a new guideline for biliary tract cancer. In recent years several studies have been conducted to improve diagnostic and therapeutic options for liver cancer. Magnetic resonance imaging (MRI) and biopsy are important for the diagnosis of hepatocellular carcinoma or cholangiocarcinoma. This guideline shows the progress in the treatment options for hepatocellular carcinoma, including advances in liver transplantation, bridging and downstaging. For cholangiocarcinoma there is a focus on interventional treatment and resection. This guideline also emphasizes the need of molecular diagnostics and the resulting treatment options in targeted therapy.
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Affiliation(s)
- Sabrina Voesch
- Medizinische Klinik I, Universitätsklinikum Tübingen, Otfried-Müller-Str. 10, 72076, Tübingen, Deutschland.
| | - M Bitzer
- Medizinische Klinik I, Universitätsklinikum Tübingen, Otfried-Müller-Str. 10, 72076, Tübingen, Deutschland
| | - N Malek
- Medizinische Klinik I, Universitätsklinikum Tübingen, Otfried-Müller-Str. 10, 72076, Tübingen, Deutschland
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Xie S, Zhang Y, Chen J, Jiang T, Liu W, Rong D, Sun L, Zhang L, He B, Wang J. Can modified LI-RADS increase the sensitivity of LI-RADS v2018 for the diagnosis of 10-19 mm hepatocellular carcinoma on gadoxetic acid-enhanced MRI? Abdom Radiol (NY) 2022; 47:596-607. [PMID: 34773467 DOI: 10.1007/s00261-021-03339-7] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2021] [Revised: 10/29/2021] [Accepted: 10/29/2021] [Indexed: 12/11/2022]
Abstract
PURPOSE To evaluate whether the Liver Imaging Reporting and Data System (LI-RADS) v2018 LR-5 criteria can be modified to increase sensitivity without reducing specificity for diagnosing 10-19 mm hepatocellular carcinoma (HCC) on gadoxetic acid-enhanced magnetic resonance imaging (MRI). METHODS A total of 133 high-risk consecutive patients with 174 small observations (10-19 mm) detected on gadoxetic acid-enhanced MRI were retrospectively studied. LI-RADS MRI major features (MFs) and ancillary features (AFs) were reviewed by two independent radiologists in consensus. Observations were categorized using LI-RADS v2018 MFs. Independently significant AFs were identified through logistic regression analysis. Upgraded LR-5 criteria were developed by combining independently significant AFs with MFs of LR-3 or LR-4 v2018. The sensitivity and specificity of the new diagnostic criteria were compared with those of LR-5 v2018 using McNemar's test. RESULTS Three of the AFs favoring malignancy [mild-moderate T2 hyperintensity, transitional phase (TP) hypointensity and fat in mass] were independently significant features for diagnosing 10-19 mm HCC. The upgraded LR-5 criteria (mLI-RADS VII: LR-4 + mild-moderate T2 hyperintensity/TP hypointensity or LR-3 + fat in mass) yielded a significantly greater sensitivity than that of the LR-5 v2018 criteria (70.4% vs 55.1%; p < 0.001), whereas the specificity was not significantly different (94.7% vs 98.7%, p = 0.250). CONCLUSIONS Independently significant AFs may be used to upgrade an observation from LR-3/LR-4 to LR-5, which can improve the sensitivity without impairing the specificity for diagnosing 10-19 mm HCC on gadoxetic acid-enhanced MRI.
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Affiliation(s)
- Sidong Xie
- Department of Radiology, The Third Affiliated Hospital, Sun Yat-sen University (SYSU), No 600, Tianhe Road, Guangzhou, 510630, Guangdong, People's Republic of China
| | - Yao Zhang
- Department of Radiology, The Third Affiliated Hospital, Sun Yat-sen University (SYSU), No 600, Tianhe Road, Guangzhou, 510630, Guangdong, People's Republic of China
| | - Jingbiao Chen
- Department of Radiology, The Third Affiliated Hospital, Sun Yat-sen University (SYSU), No 600, Tianhe Road, Guangzhou, 510630, Guangdong, People's Republic of China
| | - Ting Jiang
- Department of Radiology, The Third Affiliated Hospital, Sun Yat-sen University (SYSU), No 600, Tianhe Road, Guangzhou, 510630, Guangdong, People's Republic of China
| | - Weimin Liu
- Department of Radiology, The Third Affiliated Hospital, Sun Yat-sen University (SYSU), No 600, Tianhe Road, Guangzhou, 510630, Guangdong, People's Republic of China
| | - Dailin Rong
- Department of Radiology, The Third Affiliated Hospital, Sun Yat-sen University (SYSU), No 600, Tianhe Road, Guangzhou, 510630, Guangdong, People's Republic of China
| | - Lin Sun
- Department of Radiology, The Third Affiliated Hospital, Sun Yat-sen University (SYSU), No 600, Tianhe Road, Guangzhou, 510630, Guangdong, People's Republic of China
| | - Linqi Zhang
- Department of Radiology, The Third Affiliated Hospital, Sun Yat-sen University (SYSU), No 600, Tianhe Road, Guangzhou, 510630, Guangdong, People's Republic of China
| | - Bingjun He
- Department of Radiology, The Third Affiliated Hospital, Sun Yat-sen University (SYSU), No 600, Tianhe Road, Guangzhou, 510630, Guangdong, People's Republic of China
| | - Jin Wang
- Department of Radiology, The Third Affiliated Hospital, Sun Yat-sen University (SYSU), No 600, Tianhe Road, Guangzhou, 510630, Guangdong, People's Republic of China.
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Sabrina V, Michael B, Jörg A, Peter B, Wolf B, Susanne B, Thomas B, Frank D, Matthias E, Markus F, Christian LF, Paul F, Andreas G, Eleni G, Martin G, Elke H, Thomas H, Ralf-Thorsten H, Wolf-Peter H, Peter H, Achim K, Gabi K, Jürgen K, David K, Frank L, Hauke L, Thomas L, Philipp L, Andreas M, Alexander M, Oliver M, Silvio N, Huu Phuc N, Johann O, Karl-Jürgen O, Philipp P, Kerstin P, Philippe P, Thorsten P, Mathias P, Ruben P, Jürgen P, Jutta R, Peter R, Johanna R, Ulrike R, Elke R, Barbara S, Peter S, Irene S, Andreas S, Dietrich VS, Daniel S, Marianne S, Alexander S, Andreas S, Nadine S, Christian S, Andrea T, Anne T, Jörg T, Ingo VT, Reina T, Arndt V, Thomas V, Hilke V, Frank W, Oliver W, Heiner W, Henning W, Dane W, Christian W, Marcus-Alexander W, Peter G, Nisar M. S3-Leitlinie: Diagnostik und Therapie des hepatozellulären Karzinoms. ZEITSCHRIFT FUR GASTROENTEROLOGIE 2022; 60:e56-e130. [PMID: 35042248 DOI: 10.1055/a-1589-7568] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Affiliation(s)
- Voesch Sabrina
- Medizinische Klinik I, Universitätsklinikum Tübingen, Tübingen
| | - Bitzer Michael
- Medizinische Klinik I, Universitätsklinikum Tübingen, Tübingen
| | - Albert Jörg
- Abteilung für Gastroenterologie, Hepatologie und Endokrinologie, Stuttgart
| | | | - Bechstein Wolf
- Klinik für Allgemein-, Viszeral-, Transplantations- und Thoraxchirurgie, Universitätsklinikum Frankfurt, Frankfurt am Main
| | | | - Brunner Thomas
- Klinik für Strahlentherapie, Universitätsklinikum Magdeburg A. ö. R., Magdeburg
| | - Dombrowski Frank
- Institut für Pathologie, Universitätsmedizin Greifswald, Greifswald
| | | | - Follmann Markus
- Office des Leitlinienprogrammes Onkologie, c/o Deutsche Krebsgesellschaft e.V. Berlin
| | | | | | - Geier Andreas
- Medizinische Klinik und Poliklinik II, Universitätsklinikum Würzburg, Würzburg
| | - Gkika Eleni
- Klinik für Strahlenheilkunde, Department für Radiologische Diagnostik und Therapie, Universitätsklinikum Freiburg, Freiburg
| | | | - Hammes Elke
- Lebertransplantierte Deutschland e. V., Ansbach
| | - Helmberger Thomas
- Institut für Radiologie, Neuroradiologie und minimal-invasive Therapie, München Klinik Bogenhausen, München
| | | | - Hofmann Wolf-Peter
- Gastroenterologie am Bayerischen Platz, medizinisches Versorgungszentrum, Berlin
| | | | | | - Knötgen Gabi
- Konferenz onkologischer Kranken- und Kinderkrankenpflege, Hamburg
| | - Körber Jürgen
- Klinik Nahetal, Fachklinik für onkologische Rehabilitation und Anschlussrehabilitation, (AHB), Bad Kreuznach
| | - Krug David
- Klinik für Strahlentherapie, Universitätsklinikum Schleswig-Holstein, Kiel
| | | | - Lang Hauke
- Klinik für Allgemein-, Viszeral und Transplantationschirurgie, Universitätsmedizin der Johannes Gutenberg-Universität Mainz, Mainz
| | - Langer Thomas
- Office des Leitlinienprogrammes Onkologie, c/o Deutsche Krebsgesellschaft e.V. Berlin
| | - Lenz Philipp
- Universitätsklinikum Münster, Zentrale Einrichtung Palliativmedizin, Münster
| | - Mahnken Andreas
- Klinik für Diagnostische und Interventionelle Radiologie, Universitätsklinikum Gießen und Marburg GmbH, Marburg
| | - Meining Alexander
- Medizinische Klinik und Poliklinik II des Universitätsklinikums Würzburg, Würzburg
| | - Micke Oliver
- Klinik für Strahlentherapie und Radioonkologie, Franziskus Hospital Bielefeld, Bielefeld
| | - Nadalin Silvio
- Universitätsklinik für Allgemein-, Viszeral- und Transplantationschirurgie, Universitätsklinikum Tübingen, Tübingen
| | | | | | - Oldhafer Karl-Jürgen
- Klinik für Leber-, Gallenwegs- und Pankreaschirurgie, Semmelweis Universität, Asklepios Campus Hamburg, Hamburg
| | - Paprottka Philipp
- Abteilung für interventionelle Radiologie, Klinikum rechts der Isar der Technischen Universität München, München
| | - Paradies Kerstin
- Konferenz onkologischer Kranken- und Kinderkrankenpflege, Hamburg
| | - Pereira Philippe
- Zentrum für Radiologie, Minimal-invasive Therapien und Nuklearmedizin, Klinikum am Gesundbrunnen, SLK-Kliniken Heilbronn GmbH, Heilbronn
| | - Persigehl Thorsten
- Institut für Diagnostische und Interventionelle Radiologie, Universitätsklinikum Köln, Köln
| | | | | | - Pohl Jürgen
- Interventionelles Endoskopiezentrum und Schwerpunkt Gastrointestinale Onkologie, Asklepios Klinik Altona, Hamburg
| | - Riemer Jutta
- Lebertransplantierte Deutschland e. V., Bretzfeld
| | - Reimer Peter
- Institut für diagnostische und interventionelle Radiologie, Städtisches Klinikum Karlsruhe gGmbH, Karlsruhe
| | - Ringwald Johanna
- Psychosomatische Medizin und Psychotherapie, Universitätsklinikum Tübingen, Tübingen
| | | | - Roeb Elke
- Medizinische Klinik II, Universitätsklinikum Gießen und Marburg GmbH, Gießen
| | - Schellhaas Barbara
- Medizinische Klinik I, Friedrich-Alexander Universität Erlangen-Nürnberg, Erlangen
| | - Schirmacher Peter
- Pathologisches Institut, Universitätsklinikum Heidelberg, Heidelberg
| | - Schmid Irene
- Zentrum Pädiatrische Hämatologie und Onkologie, Dr. von Haunersches Kinderspital, Klinikum der Universität München, München
| | | | | | - Seehofer Daniel
- Klinik und Poliklinik für Viszeral-, Transplantations-, Thorax- und Gefäßchirurgie, Universitätsklinikum Leipzig, Leipzig
| | - Sinn Marianne
- Medizinische Klinik II, Universitätsklinikum Hamburg-Eppendorf, Hamburg
| | | | - Stengel Andreas
- Psychosomatische Medizin und Psychotherapie, Universitätsklinikum Tübingen, Tübingen
| | | | | | - Tannapfel Andrea
- Institut für Pathologie der Ruhr-Universität Bochum am Berufsgenossenschaftlichen Universitätsklinikum Bergmannsheil, Bochum
| | - Taubert Anne
- Kliniksozialdienst, Universitätsklinikum Heidelberg, Bochum
| | - Trojan Jörg
- Medizinische Klinik I, Universitätsklinikum Frankfurt, Frankfurt am Main
| | | | - Tholen Reina
- Deutscher Verband für Physiotherapie e. V., Köln
| | - Vogel Arndt
- Klinik für Gastroenterologie, Hepatologie, Endokrinologie der Medizinischen Hochschule Hannover, Hannover
| | - Vogl Thomas
- Universitätsklinikum Frankfurt, Institut für Diagnostische und Interventionelle Radiologie, Frankfurt
| | - Vorwerk Hilke
- Klinik für Strahlentherapie, Universitätsklinikum Gießen und Marburg GmbH, Marburg
| | - Wacker Frank
- Institut für Diagnostische und Interventionelle Radiologie der Medizinischen Hochschule Hannover, Hannover
| | - Waidmann Oliver
- Medizinische Klinik I, Universitätsklinikum Frankfurt, Frankfurt am Main
| | - Wedemeyer Heiner
- Klinik für Gastroenterologie, Hepatologie und Endokrinologie Medizinische Hochschule Hannover, Hannover
| | - Wege Henning
- I. Medizinische Klinik und Poliklinik, Universitätsklinikum Hamburg-Eppendorf, Hamburg
| | - Wildner Dane
- Innere Medizin, Krankenhäuser Nürnberger Land GmbH, Lauf an der Pegnitz
| | | | | | - Galle Peter
- I. Medizinische Klinik und Poliklinik, Universitätsklinikum Mainz, Mainz
| | - Malek Nisar
- Medizinische Klinik I, Universitätsklinikum Tübingen, Tübingen
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Terzi E, Giamperoli A, Iavarone M, Leoni S, De Bonis L, Granito A, Forgione A, Tovoli F, Piscaglia F. Prognosis of Single Early-Stage Hepatocellular Carcinoma (HCC) with CEUS Inconclusive Imaging (LI-RADS LR-3 and LR-4) Is No Better than Typical HCC (LR-5). Cancers (Basel) 2022; 14:336. [PMID: 35053498 PMCID: PMC8773738 DOI: 10.3390/cancers14020336] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2021] [Accepted: 01/05/2022] [Indexed: 02/07/2023] Open
Abstract
The American College of Radiology (ACR) released the Liver Imaging Report and Data System (LI-RADS) scheme, which categorizes hepatic nodules in risk classes from LR-1 to LR-5 (according to the degree of risk to be HCC) and LR-M (probable malignancy not specific for HCC). The aim of this study was to test whether HCC with different LR patterns on CEUS have different overall survival (OS) and recurrence-free survival (RFS). We retrospectively enrolled 167 patients with the first definitive diagnosis of single HCC (by using CT/MRI or histological techniques if CT/MRI were inconclusive) for whom CEUS examination was available. The median size of HCC lesions was 2.2 cm (range 1.0-7.2 cm). According to CEUS LI-RADS classification, 28 patients were in LR-3, 48 in LR-4, 83 in LR-5, and 8 in LR-M. Patient liver function and nodule characteristics were not statistically different between CEUS LI-RADS classes. Using univariate analysis, CEUS LI-RADS class was not found to be a predictor of survival (p = 0.347). In conclusion, HCC showing the CEUS LI-RADS classes LR-3 and LR-4 have no better clinical outcome than typical HCC. Such data support the EASL policy, aimed at conclusive diagnostic investigations of indeterminate nodules up to obtaining histological proof to avoid leaving aggressive HCC not timely treated.
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Affiliation(s)
- Eleonora Terzi
- Division of Internal Medicine, Hepatobiliary and Immunoallergic Diseases, IRCSS Azienda Ospedaliero Universitaria di Bologna, 40138 Bologna, Italy; (E.T.); (S.L.); (A.G.); (F.T.)
| | - Alice Giamperoli
- Department of Medical and Surgical Sciences, University of Bologna, 40138 Bologna, Italy; (A.G.); (L.D.B.); (A.F.)
| | - Massimo Iavarone
- A.M. & A. Migliavacca Center for Liver Disease, Division of Gastroenterology and Hepatology, Fondazione IRCCS Ca’ Grande Maggiore Hospital, University of Milan, 20122 Milan, Italy;
| | - Simona Leoni
- Division of Internal Medicine, Hepatobiliary and Immunoallergic Diseases, IRCSS Azienda Ospedaliero Universitaria di Bologna, 40138 Bologna, Italy; (E.T.); (S.L.); (A.G.); (F.T.)
| | - Ludovico De Bonis
- Department of Medical and Surgical Sciences, University of Bologna, 40138 Bologna, Italy; (A.G.); (L.D.B.); (A.F.)
| | - Alessandro Granito
- Division of Internal Medicine, Hepatobiliary and Immunoallergic Diseases, IRCSS Azienda Ospedaliero Universitaria di Bologna, 40138 Bologna, Italy; (E.T.); (S.L.); (A.G.); (F.T.)
- Department of Medical and Surgical Sciences, University of Bologna, 40138 Bologna, Italy; (A.G.); (L.D.B.); (A.F.)
| | - Antonella Forgione
- Department of Medical and Surgical Sciences, University of Bologna, 40138 Bologna, Italy; (A.G.); (L.D.B.); (A.F.)
| | - Francesco Tovoli
- Division of Internal Medicine, Hepatobiliary and Immunoallergic Diseases, IRCSS Azienda Ospedaliero Universitaria di Bologna, 40138 Bologna, Italy; (E.T.); (S.L.); (A.G.); (F.T.)
- Department of Medical and Surgical Sciences, University of Bologna, 40138 Bologna, Italy; (A.G.); (L.D.B.); (A.F.)
| | - Fabio Piscaglia
- Division of Internal Medicine, Hepatobiliary and Immunoallergic Diseases, IRCSS Azienda Ospedaliero Universitaria di Bologna, 40138 Bologna, Italy; (E.T.); (S.L.); (A.G.); (F.T.)
- Department of Medical and Surgical Sciences, University of Bologna, 40138 Bologna, Italy; (A.G.); (L.D.B.); (A.F.)
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Nadarevic T, Giljaca V, Colli A, Fraquelli M, Casazza G, Miletic D, Štimac D. Computed tomography for the diagnosis of hepatocellular carcinoma in adults with chronic liver disease. Cochrane Database Syst Rev 2021; 10:CD013362. [PMID: 34611889 PMCID: PMC8493329 DOI: 10.1002/14651858.cd013362.pub2] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
BACKGROUND Hepatocellular carcinoma occurs mostly in people with chronic liver disease and ranks sixth in terms of global incidence of cancer, and fourth in terms of cancer deaths. In clinical practice, computed tomography (CT) is used as a second-line diagnostic imaging modality to confirm the presence of focal liver lesions suspected as hepatocellular carcinoma on prior diagnostic test such as abdominal ultrasound or alpha-foetoprotein, or both, either in surveillance programmes or in clinical settings. According to current guidelines, a single contrast-enhanced imaging study CT or magnetic resonance imaging (MRI) showing typical hallmarks of hepatocellular carcinoma in people with cirrhosis is valid to diagnose hepatocellular carcinoma. However, a significant number of hepatocellular carcinomas do not show typical hallmarks on imaging modalities, and hepatocellular carcinoma is, therefore, missed. There is no clear evidence of the benefit of surveillance programmes in terms of overall survival: the conflicting results can be a consequence of inaccurate detection, ineffective treatment, or both. Assessing the diagnostic accuracy of CT may clarify whether the absence of benefit could be related to underdiagnosis. Furthermore, an assessment of the accuracy of CT in people with chronic liver disease, who are not included in surveillance programmes is needed for either ruling out or diagnosing hepatocellular carcinoma. OBJECTIVES Primary: to assess the diagnostic accuracy of multidetector, multiphasic contrast-enhanced CT for the diagnosis of hepatocellular carcinoma of any size and at any stage in adults with chronic liver disease, either in a surveillance programme or in a clinical setting. Secondary: to assess the diagnostic accuracy of CT for the diagnosis of resectable hepatocellular carcinoma in adults with chronic liver disease. SEARCH METHODS We searched the Cochrane Hepato-Biliary Trials Register, Cochrane Hepato-Biliary Diagnostic-Test-Accuracy Studies Register, the Cochrane Library, MEDLINE, Embase, LILACS, Science Citation Index Expanded, and Conference Proceedings Citation Index - Science until 4 May 2021. We applied no language or document-type restrictions. SELECTION CRITERIA Studies assessing the diagnostic accuracy of CT for the diagnosis of hepatocellular carcinoma in adults with chronic liver disease, with cross-sectional designs, using one of the acceptable reference standards, such as pathology of the explanted liver and histology of resected or biopsied focal liver lesion with at least a six-month follow-up. DATA COLLECTION AND ANALYSIS At least two review authors independently screened studies, extracted data, and assessed the risk of bias and applicability concerns, using the QUADAS-2 checklist. We presented the results of sensitivity and specificity, using paired forest plots, and tabulated the results. We used a hierarchical meta-analysis model where appropriate. We presented uncertainty of the accuracy estimates using 95% confidence intervals (CIs). We double-checked all data extractions and analyses. MAIN RESULTS We included 21 studies, with a total of 3101 participants. We judged all studies to be at high risk of bias in at least one domain because most studies used different reference standards, often inappropriate to exclude the presence of the target condition, and the time-interval between the index test and the reference standard was rarely defined. Regarding applicability in the patient selection domain, we judged 14% (3/21) of studies to be at low concern and 86% (18/21) of studies to be at high concern owing to characteristics of the participants who were on waiting lists for orthotopic liver transplantation. CT for hepatocellular carcinoma of any size and stage: sensitivity 77.5% (95% CI 70.9% to 82.9%) and specificity 91.3% (95% CI 86.5% to 94.5%) (21 studies, 3101 participants; low-certainty evidence). CT for resectable hepatocellular carcinoma: sensitivity 71.4% (95% CI 60.3% to 80.4%) and specificity 92.0% (95% CI 86.3% to 95.5%) (10 studies, 1854 participants; low-certainty evidence). In the three studies at low concern for applicability (861 participants), we found sensitivity 76.9% (95% CI 50.8% to 91.5%) and specificity 89.2% (95% CI 57.0% to 98.1%). The observed heterogeneity in the results remains mostly unexplained. The sensitivity analyses, which included only studies with clearly prespecified positivity criteria and only studies in which the reference standard results were interpreted without knowledge of the results of the index test, showed no variation in the results. AUTHORS' CONCLUSIONS In the clinical pathway for the diagnosis of hepatocellular carcinoma in adults with chronic liver disease, CT has roles as a confirmatory test for hepatocellular carcinoma lesions, and for staging assessment. We found that using CT in detecting hepatocellular carcinoma of any size and stage, 22.5% of people with hepatocellular carcinoma would be missed, and 8.7% of people without hepatocellular carcinoma would be unnecessarily treated. For resectable hepatocellular carcinoma, we found that 28.6% of people with resectable hepatocellular carcinoma would improperly not be resected, while 8% of people without hepatocellular carcinoma would undergo inappropriate surgery. The uncertainty resulting from the high risk of bias in the included studies and concerns regarding their applicability limit our ability to confidently draw conclusions based on our results.
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Affiliation(s)
- Tin Nadarevic
- Department of Radiology, Clinical Hospital Centre Rijeka, Rijeka, Croatia
| | - Vanja Giljaca
- Department of Gastroenterology, Heart of England NHS Foundation Trust, Birmingham, UK
| | - Agostino Colli
- Department of Transfusion Medicine and Haematology, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milano, Italy
| | - Mirella Fraquelli
- Gastroenterology and Endoscopy Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Department of Pathophysiology and Transplantation, Università degli Studi di Milano, Milan, Italy
| | - Giovanni Casazza
- Dipartimento di Scienze Biomediche e Cliniche "L. Sacco", Università degli Studi di Milano, Milan, Italy
| | - Damir Miletic
- Department of Radiology , Clinical Hospital Centre Rijeka, Rijeka, Croatia
| | - Davor Štimac
- Department of Gastroenterology, Clinical Hospital Centre Rijeka, Rijeka, Croatia
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Sinniah RS, Shapses MS, Ahmed MU, Babiker H, Chandana SR. Novel biomarkers for cholangiocarcinoma: how can it enhance diagnosis, prognostication, and investigational drugs? Part-1. Expert Opin Investig Drugs 2021; 30:1047-1056. [PMID: 34579607 DOI: 10.1080/13543784.2021.1985461] [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] [Indexed: 10/20/2022]
Abstract
INTRODUCTION The development of novel biomarkers for cancer has exploded over the last decade with advances in novel technologies. Cholangiocarcinoma (CCA), a cancer of the bile ducts, has a dearth of strong disease and pathophysiology biomarkers, making early detection and prognostication a difficult task. AREAS COVERED In this comprehensive review, we discuss the spectrum of biomarkers for CCA diagnosis and prognostication. We elaborate on novel biomarker discovery through a comprehensive multi-omics approach. We also cover, how certain biomarkers may also serve as unique and potent targets for therapeutic development. EXPERT OPINION Despite the relatively poor diagnostic and prognostic performance of existing biomarkers for CCA, there is a vast range of novel biomarkers with exquisite diagnostic and prognostic performance for CCA in the pipeline. Moreover, these biomarkers may serve as potential targets for precision medicine. Existing strategies to target unique biomolecular classes are discussed, within the context of an overall 'omics' focused profiling strategy. Omics profiling will simultaneously allow for enhanced biomarker development and identification of unique subtypes of cholangiocarcinoma and how they are influenced by an individual's unique context. In this manner, patient management strategy and clinical trial design can be optimized to the individual.
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Affiliation(s)
- Ranu S Sinniah
- College of Human Medicine, Michigan State University, Grand Rapids, MI, USA
| | - Mark S Shapses
- Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, PA, USA
| | | | - Hani Babiker
- Department of Medicine, Division of Hematology-Oncology, Mayo Clinic, Jacksonville, Florida, USA
| | - Sreenivasa R Chandana
- Phase I Program, Start Midwest, Grand Rapids, MI, USA.,Cancer and Hematology Centers of Western Michigan, Grand Rapids, MI, USA.,Department of Medicine, College of Human Medicine, Michigan State University, East Lansing, MI, USA
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Yinzhong W, Xiaoxue T, Jinhui T, Pengcheng Y, Xiaoying L, Junqiang L. Is Gadoxetic Acid Disodium (Gd-EOB-DTPA)-Enhanced Magnetic Resonance Imaging an accurate diagnostic method for Hepatocellular Carcinoma? a systematic review with meta-analysis. Curr Med Imaging 2021; 18:633-647. [PMID: 34533447 DOI: 10.2174/1573405617666210917124404] [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: 04/01/2021] [Revised: 07/09/2021] [Accepted: 08/12/2021] [Indexed: 12/27/2022]
Abstract
Background： Gadolinium ethoxybenzyl diethylenetriamine pentaacetic acid (Gd-EOB-DTPA) has become a widely used liver-specific contrast agent worldwide, but its value and limitations as a diagnostic technique with hepatocellular carcinoma (HCC), have not been assessed. INTRODUCTION A review of the latest evidence available on the diagnostic value of Gd-EOB-DTPA-enhanced MRI for the evaluation of HCC is reported. METHODS A systematic, comprehensive literature search was conducted with PubMed, Scopus, EMBASE, the Web of Science, the Cochrane Library, CNKI, vip, wanfangdata and CBM from inception to June 31, 2020. The QUADAS-2 tool was used to evaluate the quality of the included studies. Pooled sensitivity (SEN), pooled specificity (SPE), pooled positive likelihood ratio (PLR), pooled negative likelihood ratio (NLR), pooled diagnostic odds ratio (dOR) and summary receiver operating characteristic (SROC) curves were calculated to assess the diagnostic value of the individual diagnostic tests. RESULTS A total of 47 articles were included, involving a total of 6362 nodules in 37 studies based on per-lesion studies. There were 13 per-patient studies, including a total of 1816 patients. The results of the meta-analysis showed that the per-lesion studies pooled weighted values were SEN 0.90 [95% confidence interval (CI): 0.87-0.92], SPE 0.92 (95%CI: 0.90-0.94), PLR 11.6 (95%CI: 8.8-15.2), NLR 0.11 (95%CI: 0.09-0.14) and dOR 107.0 (95%CI: 74.0-155.0). The AUC of the SROC curve was 0.96. The per-patient studies pooled weighted values were SEN 0.84 [95% confidence interval (CI): 0.78-0.89], SPE 0.92 (95%CI: 0.88-0.94), PLR 10.4 (95%CI: 7.4-14.6), NLR 0.17 (95%CI: 0.12-0.24) and dOR 61.0 (95%CI: 42.0-87.0). The AUC of the SROC curve was 0.95 and subgroup analyses were performed. CONCLUSIONS The diagnostic value of Gd-EOB-DTPA for HCC was quantitatively evaluated in a per-lesion study and a per-patient study using a systematic review of the literature. A positive conclusion was drawn: Gd-EOB-DTPA-enhanced imaging is a valuable diagnostic technique for HCC. The size of the nodules and the selection of the imaging diagnostic criteria may affect the diagnostic sensitivity.
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Affiliation(s)
- Wang Yinzhong
- Department of Radiology , First Hospital of LanZhou University, Lanzhou, Gansu, China
| | - Tian Xiaoxue
- Department of Nuclear Medicine , Second Hospital of LanZhou University, Lanzhou, Gansu, China
| | - Tian Jinhui
- Evidence-based Medicine Center, School of Basic Medical Sciences, Lanzhou University, Lanzhou, China
| | - Yang Pengcheng
- Department of Radiology , First Hospital of LanZhou University, Lanzhou, Gansu, China
| | - Liu Xiaoying
- Department of Radiology , First Hospital of LanZhou University, Lanzhou, Gansu, China
| | - Lei Junqiang
- Department of Radiology , First Hospital of LanZhou University, Lanzhou, Gansu, China
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Min JH, Kim JM, Kim YK, Kim H, Choi GS, Kang TW, Cha D, Hwang JA, Ko SE, Ahn S. A modified LI-RADS: targetoid tumors with enhancing capsule can be diagnosed as HCC instead of LR-M lesions. Eur Radiol 2021; 32:912-922. [PMID: 34345947 DOI: 10.1007/s00330-021-08124-0] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2020] [Revised: 11/12/2020] [Accepted: 06/07/2021] [Indexed: 10/20/2022]
Abstract
OBJECTIVE To elucidate whether the presence of enhancing capsule can be applied to establish a modified Liver Imaging Reporting and Data System (LI-RADS) to differentiate hepatocellular carcinoma (HCC) from non-HCC malignancies in extracellular contrast agent (ECA)-enhanced and hepatobiliary agent (HBA)-enhanced MRI. METHODS We enrolled 198 participants (161 men; mean age, 56.3 years) with chronic liver disease who underwent ECA-MRI and HBA-MRI before surgery for de novo hepatic nodule(s). Two reviewers assigned LI-RADS categories (v2018). We defined a "modified LR-5 category, which emphasizes enhancing capsule (mLR-5C)" over targetoid features and classifies tumors with both targetoid appearance and enhancing capsule as HCC instead of LR-M. We compared the diagnostic performance of conventional LI-RADS and modified LI-RADS criteria for both MRIs. RESULTS A total of 258 hepatic nodules (194 HCCs, 43 benign lesions, and 21 non-HCC malignancies; median size, 19 mm) were analyzed. By conventional LI-RADS, 47 (18.2%) nodules (31 HCCs and 16 non-HCC malignancies) were categorized as LR-M. The mLR-5C criterion showed superior sensitivity (ECA-MRI, 76.6% vs. 67.0%; HBA-MRI, 60.4% vs. 56.3%; both p < 0.05) while maintaining high specificity (ECA-MRI, 93.8% vs. 98.4%; HBA-MRI, 95.3% vs. 98.4%; both p > 0.05) compared with the LR-5 criterion. Using the mLR-5C criterion, ECA-MRI exhibited higher sensitivity than HBA-MRI (76.6% vs. 60.4%, p < 0.001) and similar specificity (93.8% vs. 95.3%, p > 0.99). CONCLUSION Our modified LI-RADS achieved superior sensitivity for diagnosing HCC, without compromising specificity compared with LR-5. ECA-MRI showed higher sensitivity in diagnosing HCC than HBA-MRI by applying the mLR-5C for LR-M lesions. KEY POINTS • By conventional LI-RADS, 31 (16.0%) of 194 HCCs were categorized as LR-M. • Among 31 HCCs categorized as LR-M, 19 HCCs or 8 HCCs were recategorized as HCC on ECA-MRI or HBA-MRI, respectively, after applying the modified LR-5 category, which allocates targetoid lesions with enhancing capsule as mLR-5C instead of LR-M. • The mLR-5C showed superior sensitivity compared with the LR-5 in both MRIs (ECA-MRI, 76.6% vs. 67.0%; HBA-MRI, 60.4% vs. 56.3%, both p < 0.05), while maintaining high specificity (ECA-MRI, 93.8% vs. 98.4%; HBA-MRI, 95.3% vs. 98.4%; both p > 0.05).
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Affiliation(s)
- Ji Hye Min
- Department of Radiology and Center for Imaging Science, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-ro, Gangnam-gu, Seoul, 06351, Republic of Korea
| | - Jong Man Kim
- Department of Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Young Kon Kim
- Department of Radiology and Center for Imaging Science, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-ro, Gangnam-gu, Seoul, 06351, Republic of Korea.
| | - Honsoul Kim
- Department of Radiology and Center for Imaging Science, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-ro, Gangnam-gu, Seoul, 06351, Republic of Korea
| | - Gyu Seong Choi
- Department of Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Tae Wook Kang
- Department of Radiology and Center for Imaging Science, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-ro, Gangnam-gu, Seoul, 06351, Republic of Korea
| | - Dongik Cha
- Department of Radiology and Center for Imaging Science, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-ro, Gangnam-gu, Seoul, 06351, Republic of Korea
| | - Jeong Ah Hwang
- Department of Radiology and Center for Imaging Science, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-ro, Gangnam-gu, Seoul, 06351, Republic of Korea
| | - Seong Eun Ko
- Department of Radiology and Center for Imaging Science, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-ro, Gangnam-gu, Seoul, 06351, Republic of Korea
| | - Soohyun Ahn
- Department of Mathematics, Ajou University, Suwon, Republic of Korea
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Lee HJ, Hong SB, Lee NK, Kim S, Seo HI, Kim DU, Han SY, Choo KS. Validation of functional liver imaging scores (FLIS) derived from gadoxetic acid-enhanced MRI in patients with chronic liver disease and liver cirrhosis: the relationship between Child-Pugh score and FLIS. Eur Radiol 2021; 31:8606-8614. [PMID: 33881570 DOI: 10.1007/s00330-021-07955-1] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2020] [Revised: 03/15/2021] [Accepted: 03/26/2021] [Indexed: 02/06/2023]
Abstract
OBJECTIVES To validate the functional liver imaging score (FLIS) for prediction of hepatic function in gadoxetic acid-enhanced MRI. METHODS We retrospectively identified 134 patients (88 men, 46 women; mean age, 58.8 years) between January 2015 and December 2018 with the following inclusion criteria: patients diagnosed with liver cirrhosis or chronic liver disease (CLD) who underwent gadoxetic acid-enhanced MRI. Three parameters on hepatobiliary phase images were evaluated for FLIS: liver parenchymal enhancement, biliary excretion, and signal intensity of the portal vein. Patients were classified as CLD (n = 11), Child-Pugh (CP) class A (n = 87), CP B (n = 22), or CP C (n = 14). We assessed the correlation between CP score and both FLIS and its components using Spearman rank correlation. Receiver operating characteristic (ROC) curve analysis was performed to demonstrate the cutoff value of FLIS for differentiating between CP classes. The associations between patient characteristics, serum markers, FLIS, and hepatic decompensation were evaluated with Cox proportional hazard models. RESULTS FLIS and three FLIS parameters showed strong to very strong correlation with CP score (r = -0.60 to 0.82). ROC curve analysis showed that FLIS ≥ 5 was the optimal cutoff for prediction of CP class A or CLD (sensitivity, 83.7%; specificity, 94.4%; area under the curve [AUC], 0.93). FLIS < 5 was independently associated with the development of first hepatic decompensation in patients with CP A (HR, 50.0; 95% confidence interval, 6.2, 400.4). CONCLUSION FLIS showed a strong correlation with hepatic function and can stratify the CP class. In addition, FLIS can help prediction for the development of first decompensation. KEY POINTS • Functional liver imaging scores (FLIS) and its three parameters, derived from hepatobiliary phase image, have strong to very strong correlations with Child-Pugh (CP) scores. • FLIS can stratify patients with chronic liver disease or liver cirrhosis according to CP classification. • Low FLIS is an independent predictor for first hepatic decompensation in patients with CP class A.
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Affiliation(s)
- Ho Jun Lee
- Department of Radiology, Biomedical Research Institute, Pusan National University Hospital, Pusan National University School of Medicine, Busan, South Korea
| | - Seung Baek Hong
- Department of Radiology, Biomedical Research Institute, Pusan National University Hospital, Pusan National University School of Medicine, Busan, South Korea.
| | - Nam Kyung Lee
- Department of Radiology, Biomedical Research Institute, Pusan National University Hospital, Pusan National University School of Medicine, Busan, South Korea
| | - Suk Kim
- Department of Radiology, Biomedical Research Institute, Pusan National University Hospital, Pusan National University School of Medicine, Busan, South Korea
| | - Hyung Il Seo
- Department of Surgery, Biomedical Research Institute, Pusan National University Hospital, Pusan National University School of Medicine, Busan, South Korea
| | - Dong Uk Kim
- Department of Internal Medicine, Biomedical Research Institute, Pusan National University Hospital, Pusan National University School of Medicine, Busan, South Korea
| | - Sung Yong Han
- Department of Internal Medicine, Biomedical Research Institute, Pusan National University Hospital, Pusan National University School of Medicine, Busan, South Korea
| | - Ki Suk Choo
- Department of Radiology, Biomedical Research Institute, Pusan National University Yangsan Hospital, Pusan National University School of Medicine, Yangsan, South Korea
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Zhou X, Long L, Mo Z, Li Y. OATP1B3 Expression in Hepatocellular Carcinoma Correlates with Intralesional Gd-EOB-DTPA Uptake and Signal Intensity on Gd-EOB-DTPA-Enhanced MRI. Cancer Manag Res 2021; 13:1169-1177. [PMID: 33603462 PMCID: PMC7882717 DOI: 10.2147/cmar.s292197] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2020] [Accepted: 01/05/2021] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND To evaluate the predictive value of the OATP1B3 expression in hepatocellular carcinoma (HCC) for the gadolinium ethoxybenzyl-diethylenetriaminepentaacetic acid (Gd-EOB-DTPA) uptake and the signal intensity (SI) in the hepatobiliary (HB) phase. METHODS In this retrospective study, we analyzed 69 liver nodules of 64 patients who underwent Gd-EOB-DTPA enhancement magnetic resonance imaging (MRI) before operation. Based on the SI in the HB phase, the patients were categorized into the hypointense HCC and iso- or hyperintense HCC groups. The OATP1B3 expression was detected by polymerase chain reaction (PCR) and immunohistochemistry. The differences between the expression of OATP1B3 and Gd-EOB-DTPA enhanced magnetic resonance imaging between the two groups of hepatocellular carcinoma were compared. The relationship between the OATP1B3 expression and the SI and relative enhancement (RE) was analyzed. RESULTS The examined HCC nodules were 59 hypointense HCC and 10 iso- or hyperintense. The relative expressions of OATP1B3, HB-phase signal, and the RE of the HB phase in iso- or hyperintense were significantly higher than those of the hypointense HCC, while the RE of the HB phase increased with an increase in the OATP1B3 expression (P < 0.05). CONCLUSION The OATP1B3 expression in HCC can predict the uptake of Gd-EOB-DTPA and the SI of the HB phase. We believe that the evaluation of OATP1B3 expression will facilitate the comprehension of imaging performance of HCC in Gd-EOB-DTPA-enhanced MRI.
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Affiliation(s)
- Xiaojiao Zhou
- Department of Radiology, The First Affiliated Hospital of Guangxi Medical University, Nanning, 530021, People’s Republic of China
| | - Liling Long
- Department of Radiology, The First Affiliated Hospital of Guangxi Medical University, Nanning, 530021, People’s Republic of China
| | - Zhiqing Mo
- Department of Radiology, The First Affiliated Hospital of Guangxi Medical University, Nanning, 530021, People’s Republic of China
| | - Yajuan Li
- Department of Radiology, The First Affiliated Hospital of Guangxi Medical University, Nanning, 530021, People’s Republic of China
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Kovac JD, Ivanovic A, Milovanovic T, Micev M, Alessandrino F, Gore RM. An overview of hepatocellular carcinoma with atypical enhancement pattern: spectrum of magnetic resonance imaging findings with pathologic correlation. Radiol Oncol 2021; 55:130-143. [PMID: 33544992 PMCID: PMC8042819 DOI: 10.2478/raon-2021-0004] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2020] [Accepted: 12/15/2020] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND In the setting of cirrhotic liver, the diagnosis of hepatocellular carcinoma (HCC) is straightforward when typical imaging findings consisting of arterial hypervascularity followed by portal-venous washout are present in nodules larger than 1 cm. However, due to the complexity of hepatocarcinogenesis, not all HCCs present with typical vascular behaviour. Atypical forms such as hypervascular HCC without washout, isovascular or even hypovascular HCC can pose diagnostic dilemmas. In such cases, it is important to consider also the appearance of the nodules on diffusion-weighted imaging and hepatobiliary phase. In this regard, diffusion restriction and hypointensity on hepatobiliary phase are suggestive of malignancy. If both findings are present in hypervascular lesion without washout, or even in iso- or hypovascular lesion in cirrhotic liver, HCC should be considered. Moreover, other ancillary imaging findings such as the presence of the capsule, fat content, signal intensity on T2-weighted image favour the diagnosis of HCC. Another form of atypical HCCs are lesions which show hyperintensity on hepatobiliary phase. Therefore, the aim of the present study was to provide an overview of HCCs with atypical enhancement pattern, and focus on their magnetic resonance imaging (MRI) features. CONCLUSIONS In order to correctly characterize atypical HCC lesions in cirrhotic liver it is important to consider not only vascular behaviour of the nodule, but also ancillary MRI features, such as diffusion restriction, hepatobiliary phase hypointensity, and T2-weighted hyperintensity. Fat content, corona enhancement, mosaic architecture are other MRI feautures which favour the diagnosis of HCC even in the absence of typical vascular profile.
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Affiliation(s)
- Jelena Djokic Kovac
- Center for Radiology and MRI, Clinical Center Serbia, School of Medicine, University of Belgrade; Belgrade, Serbia
| | - Aleksandar Ivanovic
- Center for Radiology and MRI, Clinical Center Serbia, School of Medicine, University of Belgrade; Belgrade, Serbia
| | - Tamara Milovanovic
- Clinic for Gastroenterology and Hepatology, Clinical Center of Serbia School of Medicine, University of Belgrade; Belgrade, Serbia
| | - Marjan Micev
- Departament of Digestive Pathology, Clinical Center of Serbia, Belgrade, Serbia
| | - Francesco Alessandrino
- Division of Abdominal Imaging, Department of Radiology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, USA
| | - Richard M. Gore
- Department of Gastrointestinal Radiology, NorthShore University, Evanston, Pritzker School of Medicine at the University of Chicago, ChicagoUSA
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Lu F, Shah PA, Rao A, Gifford-Hollingsworth C, Chen A, Trey G, Soryal M, Talat A, Aslam A, Nasir B, Choudhry S, Ishtiaq R, Sanoff H, Conteh LF, Noonan A, Hu KQ, Schmidt C, Fu M, Civan J, Xiao G, Lau DTY, Lu X. Liver Cancer-Specific Serine Protease Inhibitor Kazal Is a Potentially Novel Biomarker for the Early Detection of Hepatocellular Carcinoma. Clin Transl Gastroenterol 2020; 11:e00271. [PMID: 33512798 PMCID: PMC7685967 DOI: 10.14309/ctg.0000000000000271] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/28/2020] [Accepted: 10/12/2020] [Indexed: 12/18/2022] Open
Abstract
INTRODUCTION Liver cancer-secreted serine protease inhibitor Kazal (LC-SPIK) is a protein that is specifically elevated in cases of hepatocellular carcinoma (HCC). We assessed the performance of LC-SPIK in detecting HCC, including its early stages, in patients with cirrhosis, hepatitis B virus (HBV), and hepatitis C virus (HCV). METHODS We enrolled 488 patients, including 164 HCC patients (81 early HCC) and 324 controls in a blinded, prospective, case-control study. Serum LC-SPIK levels were determined by an enzyme-linked immunosorbent assay-based assay. The performance of serum LC-SPIK and α-fetoprotein (AFP), including area under the curve (AUC), sensitivity, and specificity, are compared. The performance of LC-SPIK was evaluated in an independent validation cohort with 102 patients. RESULTS In distinguishing all HCC patients from those with cirrhosis and chronic HBV/HCV, LC-SPIK had an AUC of 0.87, with 80% sensitivity and 90% specificity using a cutoff of 21.5 ng/mL. This is significantly higher than AFP, which had an AUC of 0.70 and 52% sensitivity and 86% specificity using a standard cutoff value of 20.0 ng/mL. For early-stage HCC (Barcelona Clinic Liver Cancer stage 0 and A), LC-SPIK had an AUC of 0.85, with 72% sensitivity and 90% specificity, compared with AFP, which had an AUC of 0.61, with 42% sensitivity and 86% specificity. In addition, LC-SPIK accurately detected the presence of HCC in more than 70% of HCC patients with false-negative AFP results. DISCUSSION The study provided strong evidence that LC-SPIK detects HCC, including early-stage HCC, with high sensitivity and specificity, and might be useful for surveillance in cirrhotic and chronic HBV/HCV patients, who are at an elevated risk of developing HCC.
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Affiliation(s)
- Felix Lu
- ImCare Biotech LLC, Doylestown, Pennsylvania, USA
| | - Pir Ahmad Shah
- Liver Center, Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, USA
| | - Abhishek Rao
- ImCare Biotech LLC, Doylestown, Pennsylvania, USA
| | | | - Anne Chen
- ImCare Biotech LLC, Doylestown, Pennsylvania, USA
| | - Gary Trey
- Liver Center, Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, USA
| | - Mina Soryal
- ImCare Biotech LLC, Doylestown, Pennsylvania, USA
| | - Arslan Talat
- Liver Center, Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, USA
| | - Aysha Aslam
- Liver Center, Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, USA
| | - Bilal Nasir
- Liver Center, Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, USA
| | - Saad Choudhry
- Liver Center, Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, USA
| | - Rizwan Ishtiaq
- Liver Center, Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, USA
| | - Hanna Sanoff
- University of North Carolina, Chapel Hill, North Carolina, USA
| | - Lanla F. Conteh
- James Cancer Hospital and Solove Research Institute, Ohio State University, Columbus, Ohio, USA
| | - Anne Noonan
- James Cancer Hospital and Solove Research Institute, Ohio State University, Columbus, Ohio, USA
| | - Ke-Qin Hu
- University of California Irvine, School of Medicine, Orange, California, USA
| | - Carl Schmidt
- West Virginia University Medicine, Morgantown, West Virginia
| | - Min Fu
- Janssen Research & Development, Spring 8House, Pennsylvania, USA
| | - Jesse Civan
- Liver Tumor Center, Thomas Jefferson University, Philadelphia, Pennsylvania, USA
| | - Gary Xiao
- Department of Surgery, College of Medicine, Drexel University, Philadelphia, Pennsylvania, USA
| | - Daryl T.-Y. Lau
- Liver Center, Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, USA
| | - Xuanyong Lu
- ImCare Biotech LLC, Doylestown, Pennsylvania, USA
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Chung JW, Yu JS, Choi JM, Cho ES, Kim JH, Chung JJ. Subtraction Images From Portal Venous Phase Gadoxetic Acid-Enhanced MRI for Observing Washout and Enhancing Capsule Features in LI-RADS Version 2018. AJR Am J Roentgenol 2020; 214:72-80. [PMID: 31573851 DOI: 10.2214/ajr.18.20797] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2025]
Abstract
OBJECTIVE. The purpose of this study is to validate the use of subtraction images derived from gadoxetic acid-enhanced MRI for observation of washout and enhancing capsule in the diagnosis of hepatocellular carcinoma (HCC). MATERIALS AND METHODS. For 120 histologically verified HCCs in 115 high-risk patients, the presence of washout and enhancing capsule in the portal venous phase (PVP) on conventional MR images with and without corresponding subtraction images was determined by two independent observers. The incremental value of subtraction imaging in upgrading the categories outlined in the Liver Imaging Reporting and Data System (LI-RADS) version 2018 for the diagnosis of HCC was analyzed for different subgroups of patients classified on the basis of lesion size (< 10 mm, 10-19 mm, ≥ 20 mm), unenhanced T1-weighted signal intensity, and arterial phase hyperenhancement (APHE) of the lesions. RESULTS. When conventional PVP images were compared with the combination of conventional and subtraction PVP images, only T1-weighted isointensity or hyperintensity significantly increased the detection of washout (eight vs 15 of 18 lesions; p = 0.0233). Detection of enhancing capsule was significantly increased (p < 0.05) regardless of various factors, except for a lesion size of less than 2 cm (five vs nine of 36 lesions; p = 0.1336). Two lesions (one LI-RADS category 3 lesion and one LI-RADS category 4 lesion) with APHE were upgraded to category 5 on the basis of a review of PVP subtraction images. CONCLUSION. PVP subtraction imaging during gadoxetic acid-enhanced MRI can upgrade LI-RADS categories for the diagnosis of HCC because of its superior ability in depicting enhancing capsule and the incremental benefit of showing washout.
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Affiliation(s)
- Jae Won Chung
- Department of Radiology, Gangnam Severance Hospital, Yonsei University College of Medicine, 211 Eonju-Ro, Gangnam-Gu, Seoul 06273, South Korea
| | - Jeong-Sik Yu
- Department of Radiology, Gangnam Severance Hospital, Yonsei University College of Medicine, 211 Eonju-Ro, Gangnam-Gu, Seoul 06273, South Korea
| | - Jeong Min Choi
- Department of Radiology, Gangnam Severance Hospital, Yonsei University College of Medicine, 211 Eonju-Ro, Gangnam-Gu, Seoul 06273, South Korea
| | - Eun-Suk Cho
- Department of Radiology, Gangnam Severance Hospital, Yonsei University College of Medicine, 211 Eonju-Ro, Gangnam-Gu, Seoul 06273, South Korea
| | - Joo Hee Kim
- Department of Radiology, Gangnam Severance Hospital, Yonsei University College of Medicine, 211 Eonju-Ro, Gangnam-Gu, Seoul 06273, South Korea
| | - Jae-Joon Chung
- Department of Radiology, Gangnam Severance Hospital, Yonsei University College of Medicine, 211 Eonju-Ro, Gangnam-Gu, Seoul 06273, South Korea
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Li J, Wang J, Lei L, Yuan G, He S. The diagnostic performance of gadoxetic acid disodium-enhanced magnetic resonance imaging and contrast-enhanced multi-detector computed tomography in detecting hepatocellular carcinoma: a meta-analysis of eight prospective studies. Eur Radiol 2019; 29:6519-6528. [PMID: 31250172 DOI: 10.1007/s00330-019-06294-6] [Citation(s) in RCA: 47] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2019] [Revised: 04/12/2019] [Accepted: 05/29/2019] [Indexed: 12/12/2022]
Abstract
AIM The purpose of this study was to determine the relative diagnostic benefit of gadolinium-ethoxybenzyl-diethylenetriamine pentaacetic acid (Gd-EOB-DTPA)-enhanced magnetic resonance imaging (MRI) over contrast-enhanced multi-detector computed tomography (CEMDCT) for the detection of hepatocellular carcinoma (HCC). METHODS Two investigators searched multiple databases from inception to January 8, 2019, for studies comparing Gd-EOB-DTPA-enhanced MRI with CEMDCT in adults suspected of HCC. Two reviewers independently selected studies and extracted data. RESULTS Eight studies were included enrolling 498 patients. MRI showed significantly higher sensitivity than CT (0.85 vs. 0.68). There was no significant difference in the specificity of MRI and CT (0.94 vs. 0.93). The negative likelihood ratio and positive likelihood ratio of MRI and CT were not significantly different (0.16 vs. 0.15 and 14.7 vs. 11.2, respectively). The summary receiver operating characteristics (SROC) of MRI was higher than that of CT at 0.96 vs. 0.91. In the subgroup analysis with a lesion diameter below 2 cm, the sensitivity of MRI was significantly higher than that of CT (0.79 vs. 0.46). CONCLUSION Gd-EOB-DTPA-enhanced MRI showed higher sensitivity and overall diagnostic accuracy than CEMDCT especially for hepatocellular carcinoma lesions smaller than 2 cm. KEY POINTS • Gd-EOB-DTPA-enhanced MRI can detect small lesions of hepatocellular carcinoma. • Gd-EOB-DTPA-enhanced MRI showed higher sensitivity and overall diagnostic accuracy than CEMDCT in patients with hepatocellular carcinoma. • Eight prospective studies showed that Gd-EOB-DTPA-enhanced MRI provides greater diagnostic confidence.
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Affiliation(s)
- Jiangfa Li
- Division of Hepatobiliary and Pancreatic Surgery, The First Affiliated Hospital of Guangxi Medical University, Nanning, 530021, China
| | - Jiming Wang
- Division of Hepatobiliary and Pancreatic Surgery, The First Affiliated Hospital of Guangxi Medical University, Nanning, 530021, China
| | - Liping Lei
- Division of Hepatobiliary and Pancreatic Surgery, The First Affiliated Hospital of Guangxi Medical University, Nanning, 530021, China
| | - Guandou Yuan
- Division of Hepatobiliary and Pancreatic Surgery, The First Affiliated Hospital of Guangxi Medical University, Nanning, 530021, China
| | - Songqing He
- Division of Hepatobiliary and Pancreatic Surgery, The First Affiliated Hospital of Guangxi Medical University, Nanning, 530021, China.
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Performance of gadoxetic acid MRI and diffusion-weighted imaging for the diagnosis of early recurrence of hepatocellular carcinoma. Eur Radiol 2019; 30:186-194. [DOI: 10.1007/s00330-019-06351-0] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2019] [Revised: 06/17/2019] [Accepted: 07/01/2019] [Indexed: 02/07/2023]
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Ayuso C, Forner A, Darnell A, Rimola J, García-Criado Á, Bianchi L, Vilana R, Oliveira R, Llarch N, Bruix J. Prospective evaluation of gadoxetic acid magnetic resonance for the diagnosis of hepatocellular carcinoma in newly detected nodules ≤2 cm in cirrhosis. Liver Int 2019; 39:1281-1291. [PMID: 31077539 DOI: 10.1111/liv.14133] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/01/2019] [Revised: 04/15/2019] [Accepted: 05/03/2019] [Indexed: 02/13/2023]
Abstract
BACKGROUND AND AIMS Most of the published studies about the diagnostic accuracy of gadoxetic acid-enhanced magnetic resonance (EOB-MR) for the non-invasive diagnosis of hepatocellular carcinoma (HCC) have had a retrospective design. Thus, we aimed to prospectively evaluate the diagnostic accuracy of EOB-MR for the non-invasive diagnosis of HCC in nodules ≤2 cm detected by screening ultrasound (US) in patients with cirrhosis. METHODS Between July 2012 and October 2015, 62 consecutive asymptomatic Child-Pugh A-B cirrhotic patients with newly US-detected solitary nodules between 1 and 2 cm were prospectively included in the study. Hepatic extracellular contrast-enhanced MR (ECCE-MR) followed by EOB-MR were obtained in less than 1-month interval. Two independent radiologists blindly reviewed the EOB-MR studies, and the diagnosis of HCC was assigned when the lesion showed arterial enhancement followed by portal venous phase washout and/or hypointensity on the hepatobiliary phase (HBP). The final HCC diagnosis was made by ECCE-MR according to the accepted non-invasive criteria, or by biopsy in lesions with atypical vascular profile. RESULTS Final diagnoses were as follows: HCC (n = 41), intrahepatic cholangiocarcinoma (n = 2), colorectal metastases (n = 1) and benign conditions (n = 18). The sensitivity and specificity of EOB-MR for HCC diagnosis were 56.1% (95% CI: 39.7-71.5) and 90.5% (95% CI: 69.6-98.8), respectively, while sensitivity of ECCE-MR was 63.4% (95% CI: 46.9-77.9). The low rate of hypointense HCCs in the HBP and suboptimal liver uptake of contrast agent justify the low sensitivity of EOB-MR for HCC diagnosis. CONCLUSION EOB-MR does not surpass the diagnostic accuracy of ECCE-MR for non-invasive diagnosis of HCC in nodules ≤2 cm in cirrhotic patients.
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Affiliation(s)
- Carmen Ayuso
- Radiology Department, Barcelona Clinic Liver Cancer (BCLC) Group, Hospital Clinic Barcelona, University of Barcelona, Barcelona, Spain.,Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBERehd), Madrid, Spain
| | - Alejandro Forner
- Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBERehd), Madrid, Spain.,Liver Unit, Barcelona Clinic Liver Cancer (BCLC) Group, Hospital Clinic Barcelona, IDIBAPS, University of Barcelona, Barcelona, Spain
| | - Anna Darnell
- Radiology Department, Barcelona Clinic Liver Cancer (BCLC) Group, Hospital Clinic Barcelona, University of Barcelona, Barcelona, Spain
| | - Jordi Rimola
- Radiology Department, Barcelona Clinic Liver Cancer (BCLC) Group, Hospital Clinic Barcelona, University of Barcelona, Barcelona, Spain
| | - Ángeles García-Criado
- Radiology Department, Barcelona Clinic Liver Cancer (BCLC) Group, Hospital Clinic Barcelona, University of Barcelona, Barcelona, Spain
| | - Luis Bianchi
- Radiology Department, Barcelona Clinic Liver Cancer (BCLC) Group, Hospital Clinic Barcelona, University of Barcelona, Barcelona, Spain.,Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBERehd), Madrid, Spain
| | - Ramón Vilana
- Radiology Department, Barcelona Clinic Liver Cancer (BCLC) Group, Hospital Clinic Barcelona, University of Barcelona, Barcelona, Spain.,Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBERehd), Madrid, Spain
| | - Rafael Oliveira
- Radiology Department, Barcelona Clinic Liver Cancer (BCLC) Group, Hospital Clinic Barcelona, University of Barcelona, Barcelona, Spain
| | - Neus Llarch
- Liver Unit, Barcelona Clinic Liver Cancer (BCLC) Group, Hospital Clinic Barcelona, IDIBAPS, University of Barcelona, Barcelona, Spain
| | - Jordi Bruix
- Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBERehd), Madrid, Spain.,Liver Unit, Barcelona Clinic Liver Cancer (BCLC) Group, Hospital Clinic Barcelona, IDIBAPS, University of Barcelona, Barcelona, Spain
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Forner A, Da Fonseca LG, Díaz-González Á, Sanduzzi-Zamparelli M, Reig M, Bruix J. Controversies in the management of hepatocellular carcinoma. JHEP Rep 2019; 1:17-29. [PMID: 32039350 PMCID: PMC7001551 DOI: 10.1016/j.jhepr.2019.02.003] [Citation(s) in RCA: 43] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/12/2018] [Revised: 01/11/2019] [Accepted: 01/13/2019] [Indexed: 02/07/2023] Open
Abstract
The management of hepatocellular carcinoma (HCC) has evolved considerably over the last decade. Surveillance of cirrhotic patients and refinements to imaging techniques have enabled a relevant proportion of patients to be diagnosed at an early stage, when effective therapies are feasible. Resection, transplantation and ablation are all options in patients with early stage HCC. Thus, there is some controversy regarding which is the best treatment approach in challenging scenarios. There have also been major developments in locoregional therapies, particularly in intra-arterial approaches. Finally, the systemic treatment for HCC has changed dramatically following the demonstration of a survival benefit with sorafenib; there are currently several first-line (sorafenib and lenvatinib) and second-line (regorafenib, cabozantinib and ramucirumab) treatments that have shown a survival benefit. Expectations for immune checkpoint inhibitors are high, with the results of the ongoing phase III trials eagerly awaited. In this review we discuss some of the controversies in the management of HCC, focussing in particular on systemic therapy.
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Affiliation(s)
- Alejandro Forner
- Barcelona Clinic Liver Cancer (BCLC) group, Liver Unit, Hospital Clínic of Barcelona, Fundació Clínic per a la Recerca Biomédica (FCRB), IDIBAPS, University of Barcelona, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBERehd), Spain
| | - Leonardo G Da Fonseca
- Barcelona Clinic Liver Cancer (BCLC) group, Liver Unit, Hospital Clínic of Barcelona, Fundació Clínic per a la Recerca Biomédica (FCRB), IDIBAPS, University of Barcelona, Spain
| | - Álvaro Díaz-González
- Barcelona Clinic Liver Cancer (BCLC) group, Liver Unit, Hospital Clínic of Barcelona, Fundació Clínic per a la Recerca Biomédica (FCRB), IDIBAPS, University of Barcelona, Spain
| | - Marco Sanduzzi-Zamparelli
- Barcelona Clinic Liver Cancer (BCLC) group, Liver Unit, Hospital Clínic of Barcelona, Fundació Clínic per a la Recerca Biomédica (FCRB), IDIBAPS, University of Barcelona, Spain
| | - María Reig
- Barcelona Clinic Liver Cancer (BCLC) group, Liver Unit, Hospital Clínic of Barcelona, Fundació Clínic per a la Recerca Biomédica (FCRB), IDIBAPS, University of Barcelona, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBERehd), Spain
| | - Jordi Bruix
- Barcelona Clinic Liver Cancer (BCLC) group, Liver Unit, Hospital Clínic of Barcelona, Fundació Clínic per a la Recerca Biomédica (FCRB), IDIBAPS, University of Barcelona, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBERehd), Spain
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Kim DH, Choi SH, Kim SY, Kim MJ, Lee SS, Byun JH. Gadoxetic Acid-enhanced MRI of Hepatocellular Carcinoma: Value of Washout in Transitional and Hepatobiliary Phases. Radiology 2019; 291:651-657. [PMID: 30990381 DOI: 10.1148/radiol.2019182587] [Citation(s) in RCA: 61] [Impact Index Per Article: 10.2] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
Background Current Liver Imaging Reporting and Data System guidelines define the washout appearance of gadoxetic acid-enhanced MRI only during the portal venous phase. Defining washout only during the portal venous phase may lead to lower sensitivity for diagnosis of hepatocellular carcinoma (HCC). Purpose To compare the diagnostic performances of three gadoxetic acid-enhanced MRI criteria for HCC according to the phases during which washout appearance was determined. Materials and Methods In this retrospective study, patients with a hepatic nodule detected at US surveillance for HCC from January to December 2012 underwent gadoxetic acid-enhanced MRI. Three diagnostic MRI criteria for HCC were defined according to the phases during which washout appearance was observed, with the presence of arterial phase hyperenhancement and hypointensity noted (a) only during the portal venous phase, with washout confined to the portal venous phase; (b) during the portal venous phase or transitional phase, with washout extended to the transitional phase; or (c) during the portal venous, transitional, or hepatobiliary phase, with washout extended to the hepatobiliary phase. If a nodule showed marked T2 hyperintensity or a targetoid appearance, it was precluded from the diagnosis of HCC. The sensitivity and specificity were compared by using a generalized estimating equation. Results A total of 178 patients were included (mean age ± standard deviation, 55.3 years ± 9.1) with 203 surgically confirmed hepatic nodules (186 HCCs and 17 non-HCCs) measuring 3.0 cm or smaller. The sensitivity with washout extended to the hepatobiliary phase (95.2% [177 of 186]) was better than that with washout extended to the transitional phase (90.9% [169 of 186]; P = .01) and washout confined to the portal venous phase (75.3% [140 of 186]; P < .01). The specificity with extensions of washout to the transitional phase and hepatobiliary phase (82% [14 of 17] for both) was similar to that obtained with washout confined to the portal venous phase (94.1% [16 of 17]) (P = .47). Conclusion After exclusion of typical hemangiomas and nodules with a targetoid appearance, extending washout appearance to the transitional or hepatobiliary phase (instead of restricting it to the portal venous phase) allowed higher sensitivity without a reduction in specificity. © RSNA, 2019 See also the editorial by Fowler and Sirlin in this issue.
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Affiliation(s)
- Dong Hwan Kim
- From the Department of Radiology and Research Institute of Radiology (D.H.K., S.H.C., S.Y.K., S.S.L., J.H.B.) and Department of Clinical Epidemiology and Biostatistics (M.J.K.), University of Ulsan College of Medicine, Asan Medical Center, 88 Olympic-Ro 43-Gil, Songpa-Gu, Seoul 05505, Republic of Korea
| | - Sang Hyun Choi
- From the Department of Radiology and Research Institute of Radiology (D.H.K., S.H.C., S.Y.K., S.S.L., J.H.B.) and Department of Clinical Epidemiology and Biostatistics (M.J.K.), University of Ulsan College of Medicine, Asan Medical Center, 88 Olympic-Ro 43-Gil, Songpa-Gu, Seoul 05505, Republic of Korea
| | - So Yeon Kim
- From the Department of Radiology and Research Institute of Radiology (D.H.K., S.H.C., S.Y.K., S.S.L., J.H.B.) and Department of Clinical Epidemiology and Biostatistics (M.J.K.), University of Ulsan College of Medicine, Asan Medical Center, 88 Olympic-Ro 43-Gil, Songpa-Gu, Seoul 05505, Republic of Korea
| | - Min-Ju Kim
- From the Department of Radiology and Research Institute of Radiology (D.H.K., S.H.C., S.Y.K., S.S.L., J.H.B.) and Department of Clinical Epidemiology and Biostatistics (M.J.K.), University of Ulsan College of Medicine, Asan Medical Center, 88 Olympic-Ro 43-Gil, Songpa-Gu, Seoul 05505, Republic of Korea
| | - Seung Soo Lee
- From the Department of Radiology and Research Institute of Radiology (D.H.K., S.H.C., S.Y.K., S.S.L., J.H.B.) and Department of Clinical Epidemiology and Biostatistics (M.J.K.), University of Ulsan College of Medicine, Asan Medical Center, 88 Olympic-Ro 43-Gil, Songpa-Gu, Seoul 05505, Republic of Korea
| | - Jae Ho Byun
- From the Department of Radiology and Research Institute of Radiology (D.H.K., S.H.C., S.Y.K., S.S.L., J.H.B.) and Department of Clinical Epidemiology and Biostatistics (M.J.K.), University of Ulsan College of Medicine, Asan Medical Center, 88 Olympic-Ro 43-Gil, Songpa-Gu, Seoul 05505, Republic of Korea
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Krishan S, Dhiman RK, Kalra N, Sharma R, Baijal SS, Arora A, Gulati A, Eapan A, Verma A, Keshava S, Mukund A, Deva S, Chaudhary R, Ganesan K, Taneja S, Gorsi U, Gamanagatti S, Madhusudan KS, Puri P, Shalimar, Govil S, Wadhavan M, Saigal S, Kumar A, Thapar S, Duseja A, Saraf N, Khandelwal A, Mukhopadyay S, Gulati A, Shetty N, Verma N. Joint Consensus Statement of the Indian National Association for Study of the Liver and Indian Radiological and Imaging Association for the Diagnosis and Imaging of Hepatocellular Carcinoma Incorporating Liver Imaging Reporting and Data System. J Clin Exp Hepatol 2019; 9:625-651. [PMID: 31695253 PMCID: PMC6823668 DOI: 10.1016/j.jceh.2019.07.005] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/12/2019] [Accepted: 07/12/2019] [Indexed: 02/07/2023] Open
Abstract
Hepatocellular carcinoma (HCC) is the 6th most common cancer and the second most common cause of cancer-related mortality worldwide. There are currently no universally accepted practice guidelines for the diagnosis of HCC on imaging owing to the regional differences in epidemiology, target population, diagnostic imaging modalities, and staging and transplant eligibility. Currently available regional and national guidelines include those from the American Association for the Study of Liver Disease (AASLD), the European Association for the Study of the Liver (EASL), the Asian Pacific Association for the Study of the Liver, the Japan Society of Hepatology, the Korean Liver Cancer Study Group, Hong Kong, and the National Comprehensive Cancer Network in the United States. India with its large population and a diverse health infrastructure faces challenges unique to its population in diagnosing HCC. Recently, American Association have introduced a Liver Imaging Reporting and Data System (LIRADS, version 2017, 2018) as an attempt to standardize the acquisition, interpretation, and reporting of liver lesions on imaging and hence improve the coherence between radiologists and clinicians and provide guidance for the management of HCC. The aim of the present consensus was to find a common ground in reporting and interpreting liver lesions pertaining to HCC on imaging keeping LIRADSv2018 in mind.
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Affiliation(s)
- Sonal Krishan
- Department of Radiology, Medanta Hospital, Gurgaon, India
| | - Radha K. Dhiman
- Department of Hepatology, Postgraduate Institute of Medical Education and Research, Chandigarh, India,Address for correspondence: Radha Krishan Dhiman, MD, DM, FACG, FRCP, FAASLD, Department of Hepatology, Postgraduate Institute of Medical Education and Research, Chandigarh, India.
| | - Navin Kalra
- Department of Radiology, Postgraduate Institute Of Medical Education and Research, Chandigarh, India
| | - Raju Sharma
- Department of Radiology, All India Institute of Medical Sciences, New Delhi, India
| | - Sanjay S. Baijal
- Department of Diagnostic and Intervention Radiology, Medanta Hospital, Gurgaon, India
| | - Anil Arora
- Institute Of Liver Gastroenterology & Pancreatico Biliary Sciences, Sir Gangaram Hospital, New Delhi, India
| | - Ajay Gulati
- Department of Hepatology, Postgraduate Institute of Medical Education and Research, Chandigarh, India
| | - Anu Eapan
- Department of Radiology, Christian Medical College, Vellore, India
| | - Ashish Verma
- Department of Radiology, Banaras Hindu University, Varanasi, India
| | - Shyam Keshava
- Department of Radiology, Christian Medical College, Vellore, India
| | - Amar Mukund
- Department of Intervention Radiology, Institute of liver and biliary Sciences, New Delhi, India
| | - S. Deva
- Department of Radiology, All India Institute of Medical Sciences, New Delhi, India
| | - Ravi Chaudhary
- Department of Radiology, Medanta Hospital, Gurgaon, India
| | | | - Sunil Taneja
- Department of Hepatology, Postgraduate Institute of Medical Education and Research, Chandigarh, India
| | - Ujjwal Gorsi
- Department of Radiology, Postgraduate Institute Of Medical Education and Research, Chandigarh, India
| | | | - Kumble S. Madhusudan
- Department of Radiology, All India Institute of Medical Sciences, New Delhi, India
| | - Pankaj Puri
- Institute Of Liver Gastroenterology & Pancreatico Biliary Sciences, Sir Gangaram Hospital, New Delhi, India
| | - Shalimar
- Department of GastroEnterology, All India Institute of Medical Sciences, New Delhi, India
| | | | - Manav Wadhavan
- Institute of Digestive and Liver Diseases, BLK Hospital, Delhi, India
| | - Sanjiv Saigal
- Department of Hepatology, Medanta Hospital, Gurgaon, India
| | - Ashish Kumar
- Institute Of Liver Gastroenterology & Pancreatico Biliary Sciences, Sir Gangaram Hospital, New Delhi, India
| | - Shallini Thapar
- Department of Radiology, Institute of liver and biliary Sciences, New Delhi, India
| | - Ajay Duseja
- Department of Hepatology, Postgraduate Institute of Medical Education and Research, Chandigarh, India
| | - Neeraj Saraf
- Department of Hepatology, Medanta Hospital, Gurgaon, India
| | | | | | - Ajay Gulati
- Department of Radiology, Postgraduate Institute Of Medical Education and Research, Chandigarh, India
| | - Nitin Shetty
- Department of Radiology, Tata Memorial Hospital, Kolkata, India
| | - Nipun Verma
- Department of Hepatology, Postgraduate Institute of Medical Education and Research, Chandigarh, India
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Yoon JH, Lee JM, Lee YJ, Lee KB, Han JK. Added Value of sequentially performed gadoxetic acid-enhanced liver MRI for the diagnosis of small (10-19 mm) or atypical hepatic observations at contrast-enhanced CT: A prospective comparison. J Magn Reson Imaging 2018; 49:574-587. [PMID: 30102433 DOI: 10.1002/jmri.26199] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2018] [Accepted: 05/02/2018] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND Small hepatocellular carcinomas (HCCs) often show atypical features at cross-sectional imaging, yet there is no preferred recommendation for the diagnosis or characterization of small observations (10-19 mm) at present. PURPOSE To determine the added value of sequentially performed gadoxetic acid-enhanced liver MRI for contrast-enhanced computed tomography (CECT)-detected small (10-19 mm) or atypical hepatic observations ≥20 mm in the diagnosis of HCC. STUDY TYPE Prospective, cross-sectional, intraindividual comparison. POPULATION In all, 110 patients at high risk of developing HCC. FIELD STRENGTH/SEQUENCE 1.5T and 3T/T1 -weighted imaging. ASSESSMENT Hepatic observations were classified into HCCs or benign non-HCCs based on imaging features of arterial phase hyperenhancement (APHE) and portal or delayed washout at CT or APHE and portal washout at MRI. Final diagnoses were established using a composite algorithm and diagnostic performances of MRI and CT were compared in all observations. In addition, in a subgroup of histologically confirmed observations and stable benign observations during follow-up (n = 94), sensitivity and specificity of MRI were compared between the aforementioned criteria and LR-5 of Liver Imaging Reporting and Data System v2014. STATISTICAL TEST χ2 test. RESULTS MRI provided higher sensitivity than CT (62.2% vs. 27.0%, P = 0.0001) while maintaining specificity (97.2%, each) at the per-patient level. Among 124 observations, 10-19 mm in size, MRI showed significantly higher sensitivity in diagnosing HCCs (62.5%, 50/80) than CT (25%, 20/80, P < 0.0001) with comparable specificity (97.7% [43/44], each). However, seven atypical observations (≥20 mm) at CT remained atypical at MRI. In the subgroup analysis, the diagnostic criteria of APHE and portal washout showed a significantly higher sensitivity (44.2%, 19/43) than LR-5 (23.2%, 10/43, P = 0.004), without compromising specificity (97.7% vs. 95.5%). DATA CONCLUSION Sequentially performed gadoxetic acid-enhanced MRI provided added value to CECT for the diagnosis of HCCs in small observations by improving sensitivity while maintaining specificity. LEVEL OF EVIDENCE 2 Technical Efficacy: Stage 2 J. Magn. Reson. Imaging 2019;49:574-587.
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Affiliation(s)
- Jeong Hee Yoon
- Department of Radiology, Seoul National University Hospital, Seoul, Republic of Korea.,College of Medicine, Seoul, Republic of Korea
| | - Jeong Min Lee
- Department of Radiology, Seoul National University Hospital, Seoul, Republic of Korea.,College of Medicine, Seoul, Republic of Korea.,Institute of Radiation Medicine, Seoul National University Medical Research Center, Seoul, Republic of Korea
| | - Yoon Jin Lee
- Department of Radiology, Seoul National University Bundang Hospital, Gyeonggi-do, Republic of Korea
| | - Kyung Bun Lee
- Department of Pathology, Seoul National University Hospital, Seoul, Republic of Korea.,College of Medicine, Seoul, Republic of Koreas
| | - Joon Koo Han
- Department of Radiology, Seoul National University Hospital, Seoul, Republic of Korea.,College of Medicine, Seoul, Republic of Korea.,Institute of Radiation Medicine, Seoul National University Medical Research Center, Seoul, Republic of Korea
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48
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Galle PR, Forner A, Llovet JM, Mazzaferro V, Piscaglia F, Raoul JL, Schirmacher P, Vilgrain V. EASL Clinical Practice Guidelines: Management of hepatocellular carcinoma. J Hepatol 2018; 69:182-236. [PMID: 29628281 DOI: 10.1016/j.jhep.2018.03.019] [Citation(s) in RCA: 5907] [Impact Index Per Article: 843.9] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/20/2018] [Accepted: 03/20/2018] [Indexed: 02/06/2023]
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49
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Song JS, Choi EJ, Hwang SB, Hwang HP, Choi H. LI-RADS v2014 categorization of hepatocellular carcinoma: Intraindividual comparison between gadopentetate dimeglumine-enhanced MRI and gadoxetic acid-enhanced MRI. Eur Radiol 2018; 29:401-410. [DOI: 10.1007/s00330-018-5559-z] [Citation(s) in RCA: 34] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2018] [Revised: 05/12/2018] [Accepted: 05/23/2018] [Indexed: 12/12/2022]
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50
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Chon YE, Jung KS, Kim MJ, Choi JY, An C, Park JY, Ahn SH, Kim BK, Kim SU, Park H, Hwang SK, Rim KS, Han KH, Kim DY. Predictors of failure to detect early hepatocellular carcinoma in patients with chronic hepatitis B who received regular surveillance. Aliment Pharmacol Ther 2018; 47:1201-1212. [PMID: 29492988 DOI: 10.1111/apt.14578] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/04/2017] [Revised: 09/28/2017] [Accepted: 01/30/2018] [Indexed: 12/14/2022]
Abstract
BACKGROUND A proportion of chronic hepatitis B (CHB) patients are diagnosed with advanced hepatocellular carcinoma (HCC) despite regular surveillance. AIMS To determine predictors for HCC detection failure in CHB patients who underwent regular surveillance. METHODS CHB patients with well-preserved liver function, who underwent ultrasonography and alpha-foetoprotein (AFP) analysis every 6 months, were enrolled. Cox regression analysis was used to identify predictors for detection failure, defined as HCC initially diagnosed at Barcelona Clinic Liver Cancer (BCLC) stage B or C. RESULTS Of the 4590 CHB patients (mean age, 52.1 years; men, 61.6%), 169 patients were diagnosed with HCC (3.68%) and 35 (20.7%) HCC patients were initially diagnosed with HCC BCLC stage B or C. The cumulative incidence of HCC detection failure was 0.2% at year 1 and 1.3% at year 5. Multivariate analyses indicated that cirrhosis (hazard ratio [HR], 3.078; 95% CI, 1.389-6.821; P = 0.006), AFP levels ≥9 ng/mL (HR, 5.235; 95% CI, 2.307-11.957; P = 0.010), and diabetes mellitus (HR, 3.336; 95% CI, 1.341-8.296; P = 0.010) were independent predictors of HCC detection failure. Another model that incorporated liver stiffness (LS) values identified LS values ≥11.7 kPa (HR, 11.045; 95% CI, 2.066-59.037; P = 0.005) and AFP levels ≥9 ng/mL (HR, 4.802; 95% CI, 1.613-14.297; P = 0.005) as predictors of detection failure. CONCLUSIONS In CHB patients undergoing regular surveillance with ultrasonography and alpha-foetoprotein (AFP) analysis every 6 months, the HCC detection failure rate was not high (0.8% per person; 0.1% per test). However, careful attention should be paid in patients with advanced liver fibrosis (clinical cirrhosis or LS value >11.7 kPa), high AFP levels, or diabetes mellitus, who are prone to surveillance failure.
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Affiliation(s)
- Y E Chon
- Department of Internal Medicine, CHA Bundang Medical Center, Institute of Gastroenterology, CHA University, Seongnam, Korea
- CHA Bundang Liver Center, CHA Bundang Medical Center, Seongnam, Korea
| | - K S Jung
- Department of Internal Medicine, Yonsei University College of Medicine, Seoul, Korea
| | - M-J Kim
- Department of Radiology, Yonsei University College of Medicine, Seoul, Korea
| | - J-Y Choi
- Department of Radiology, Yonsei University College of Medicine, Seoul, Korea
| | - C An
- Department of Radiology, Yonsei University College of Medicine, Seoul, Korea
| | - J Y Park
- Department of Internal Medicine, Yonsei University College of Medicine, Seoul, Korea
- Yonsei Liver Center, Severance Hospital, Seoul, Korea
| | - S H Ahn
- Department of Internal Medicine, Yonsei University College of Medicine, Seoul, Korea
- Yonsei Liver Center, Severance Hospital, Seoul, Korea
| | - B K Kim
- Department of Internal Medicine, Yonsei University College of Medicine, Seoul, Korea
- Yonsei Liver Center, Severance Hospital, Seoul, Korea
| | - S U Kim
- Department of Internal Medicine, Yonsei University College of Medicine, Seoul, Korea
- Yonsei Liver Center, Severance Hospital, Seoul, Korea
| | - H Park
- Department of Internal Medicine, CHA Bundang Medical Center, Institute of Gastroenterology, CHA University, Seongnam, Korea
- CHA Bundang Liver Center, CHA Bundang Medical Center, Seongnam, Korea
| | - S K Hwang
- Department of Internal Medicine, CHA Bundang Medical Center, Institute of Gastroenterology, CHA University, Seongnam, Korea
- CHA Bundang Liver Center, CHA Bundang Medical Center, Seongnam, Korea
| | - K S Rim
- Department of Internal Medicine, CHA Bundang Medical Center, Institute of Gastroenterology, CHA University, Seongnam, Korea
- CHA Bundang Liver Center, CHA Bundang Medical Center, Seongnam, Korea
| | - K-H Han
- Department of Internal Medicine, Yonsei University College of Medicine, Seoul, Korea
- Yonsei Liver Center, Severance Hospital, Seoul, Korea
| | - D Y Kim
- Department of Internal Medicine, Yonsei University College of Medicine, Seoul, Korea
- Yonsei Liver Center, Severance Hospital, Seoul, Korea
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