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Publication Name World Journal of Gastroenterology
Manuscript ID 51459
Country China
Category Engineering, Biomedical
Manuscript Type Retrospective Study
Article Title Radiomics model based on preoperative gadoxetic acid-enhanced MRI for predicting liver failure
Manuscript Source Unsolicited Manuscript
All Author List Wang-Shu Zhu, Si-Ya Shi, Ze-Hong Yang, Chao Song and Jun Shen
Funding Agency and Grant Number
Funding Agency Grant Number
the Guangdong Province Universities and Colleges Pearl River Scholar Funded Scheme (2017)
the Guangdong Natural Science Foundation 2017A030313777
Corresponding Author Jun Shen, MD, Professor, Department of Radiology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, No. 107 Yanjiang Road West, Guangzhou 510120, Guangdong Province, China. shenjun@mail.sysu.edu.cn
Key Words Liver failure; Radiomics; Gadoxetic acid; Magnetic resonance imaging; Hepatocellular carcinoma;
Core Tip Serological indexes, indocyanine green clearance rate at 15 min, liver volumetry, and clinical scoring systems are commonly used to determine liver function capacity and predict postoperative residual liver function. However, these indexes are not sufficiently accurate for predicting the risk of postoperative liver failure. We constructed a radiomics signature based on preoperative hepatobiliary phase gadoxetic acid-enhanced magnetic resonance imaging. This radiomics signature achieves favorable performance in predicting liver failure in cirrhotic patients with hepatocellular carcinoma after major hepatectomy. Incorporating indocyanine green clearance rate at 15 min into the radiomics signature further improves the predictive performance for postoperative liver failure.
Citation Zhu WS, Shi SY, Yang ZH, Song C, Shen J. Radiomics model based on preoperative gadoxetic acid-enhanced MRI for predicting liver failure. World J Gastroenterol 2020; 26(11): 1208-1220
Received
2019-10-13 14:57
Peer-Review Started
2019-10-12 04:38
To Make the First Decision
Return for Revision
2020-01-13 18:36
Revised
2020-02-18 15:57
Second Decision
2020-02-20 10:19
Accepted by Journal Editor-in-Chief
Accepted by Company Editor-in-Chief
2020-02-21 06:07
Articles in Press
2020-02-21 06:07
Publication Fee Transferred
Edit the Manuscript by Language Editor
2020-03-04 22:22
Typeset the Manuscript
2020-03-18 01:47
ISSN 1007-9327 (print) and 2219-2840 (online)
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/
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