Retrospective Study
Copyright ©The Author(s) 2020. Published by Baishideng Publishing Group Inc. All rights reserved.
World J Gastroenterol. Mar 21, 2020; 26(11): 1208-1220
Published online Mar 21, 2020. doi: 10.3748/wjg.v26.i11.1208
Radiomics model based on preoperative gadoxetic acid-enhanced MRI for predicting liver failure
Wang-Shu Zhu, Si-Ya Shi, Ze-Hong Yang, Chao Song, Jun Shen
Wang-Shu Zhu, Si-Ya Shi, Ze-Hong Yang, Chao Song, Jun Shen, Department of Radiology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou 510120, Guangdong Province, China
Wang-Shu Zhu, Si-Ya Shi, Ze-Hong Yang, Chao Song, Jun Shen, Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Medical Research Center, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou 510120, Guangdong Province, China
Author contributions: Zhu WS and Shi SY contributed equally to this work; Zhu W, Shi S, and Shen J designed the research; Zhu W and Shi S collected and analyzed the data, and wrote the manuscript; Yang Z and Song C analyzed and interpreted the data; Shen J wrote and revised the manuscript; All co-authors participated in writing and checking the manuscript, and approved the submitted manuscript.
Supported by the Guangdong Province Universities and Colleges Pearl River Scholar Funded Scheme (2017); and the Guangdong Natural Science Foundation, No. 2017A030313777.
Institutional review board statement: This study was reviewed and approved by the Ethics Committee of Sun Yat-Sen Memorial Hospital.
Informed consent statement: Patients were not required to give informed consent to the study because the analysis used anonymous clinical data that were obtained after each patient agreed to treatment by written consent.
Conflict-of-interest statement: The authors declare no conflict of interest.
Data sharing statement: No additional data are available.
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: Jun Shen, MD, Department of Radiology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, No. 107 Yanjiang Road West, Guangzhou 501012, Guangdong Province, China. shenjun@mail.sysu.edu.cn
Received: October 12, 2019
Peer-review started: October 12, 2019
First decision: January 13, 2020
Revised: February 18, 2020
Accepted: February 21, 2020
Article in press: February 21, 2020
Published online: March 21, 2020
Processing time: 159 Days and 11.9 Hours
Core Tip

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.