Li Y, Li L, Weng HL, Liebe R, Ding HG. Computed tomography vs liver stiffness measurement and magnetic resonance imaging in evaluating esophageal varices in cirrhotic patients: A systematic review and meta-analysis. World J Gastroenterol 2020; 26(18): 2247-2267 [PMID: 32476790 DOI: 10.3748/wjg.v26.i18.2247]
Corresponding Author of This Article
Hui-Guo Ding, MD, PhD, Chief Doctor, Chief Physician, Professor, Department of Gastroenterology and Hepatology, Beijing You’an Hospital affiliated with Capital Medical University, 8 Xitoutiao, Youanmenwai, Fengtai District, Beijing 100069, China. dinghuiguo@ccmu.edu.cn
Research Domain of This Article
Gastroenterology & Hepatology
Article-Type of This Article
Meta-Analysis
Open-Access Policy of This Article
This article is an open-access article which was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/
World J Gastroenterol. May 14, 2020; 26(18): 2247-2267 Published online May 14, 2020. doi: 10.3748/wjg.v26.i18.2247
Computed tomography vs liver stiffness measurement and magnetic resonance imaging in evaluating esophageal varices in cirrhotic patients: A systematic review and meta-analysis
Yue Li, Lei Li, Hong-Lei Weng, Roman Liebe, Hui-Guo Ding
Yue Li, Lei Li, Hui-Guo Ding, Department of Gastroenterology and Hepatology, Beijing You’an Hospital Affiliated with Capital Medical University, Beijing 100069, China
Hong-Lei Weng, Department of Medicine II, Section Molecular Hepatology, Medical Faculty Mannheim, Heidelberg University, Mannheim 68167, Germany
Roman Liebe, Department of Medicine II, Saarland University Medical Center, Homburg 66424, Germany
Author contributions: Li Y and Li L contributed equally to collecting the data and writing the manuscript; Ding HG designed the project and was in charge of the manuscript; Weng HL and Liebe R performed the language editing; all authors have read and approved the manuscript.
Supported bythe State Key Projects Specialized on Infectious Diseases, No. 2017ZX10203202–004; Beijing Municipal Administration of Hospitals Clinical Medicine Development of Special Funding, No. ZYLX201610; Beijing Municipal Administration of Hospitals’ Ascent Plan, No. DFL20151602; and Digestive Medical Coordinated Development Center of Beijing Hospitals Authority, No. XXT24.
Conflict-of-interest statement: The authors deny any conflict of interest.
PRISMA 2009 Checklist statement: The authors have read the PRISMA 2009 Checklist, and the manuscript was prepared and revised according to the PRISMA 2009 Checklist.
Open-Access: This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/
Corresponding author: Hui-Guo Ding, MD, PhD, Chief Doctor, Chief Physician, Professor, Department of Gastroenterology and Hepatology, Beijing You’an Hospital affiliated with Capital Medical University, 8 Xitoutiao, Youanmenwai, Fengtai District, Beijing 100069, China. dinghuiguo@ccmu.edu.cn
Received: February 13, 2020 Peer-review started: February 13, 2020 First decision: March 15, 2020 Revised: March 19, 2020 Accepted: April 24, 2020 Article in press: April 24, 2020 Published online: May 14, 2020 Processing time: 90 Days and 23.1 Hours
Core Tip
Core tip: To date, endoscopy is regarded as the “gold standard” for diagnosis of esophageal varices (EV) and prediction of high-bleeding-risk EV (HREV) in cirrhotic patients. This study came into the conclusion that computed tomography has higher accuracy in diagnosing EV and predicting HREV than liver stiffness measurement and magnetic resonance imaging in cirrhotic patients. It is suggested that computed tomography, a non-invasive diagnostic method, is the best choice for diagnosing EV and predicting HREV in cirrhotic patients compared with liver stiffness measurement and magnetic resonance imaging. However, in future, the head-to-head comparisons of these imaging tools in the same series of patients are required to confirm the predictive value, especially by using artificial intelligence technique.