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World J Gastroenterol. Aug 28, 2021; 27(32): 5341-5350
Published online Aug 28, 2021. doi: 10.3748/wjg.v27.i32.5341
Application of artificial intelligence in preoperative imaging of hepatocellular carcinoma: Current status and future perspectives
Bing Feng, Xiao-Hong Ma, Shuang Wang, Wei Cai, Xia-Bi Liu, Xin-Ming Zhao
Bing Feng, Xiao-Hong Ma, Shuang Wang, Wei Cai, Xin-Ming Zhao, Department of Diagnostic Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
Xia-Bi Liu, Beijing Laboratory of Intelligent Information Technology, School of Computer Science and Technology, Beijing Institute of Technology, Beijing 100081, China
Author contributions: Feng B performed literature review and drafted the manuscript; Cai W contributed to data collection of the study; Wang S, Liu XB, and Zhao XM reviewed the manuscript; Ma XH contributed to conception and design of the study, and critically revised this manuscript; all authors have read and approved the final manuscript.
Supported by CAMS Innovation Fund for Medical Sciences (CIFMS), No. 2016-I2M-1-001; PUMC Youth Fund, No. 2017320010; Chinese Academy of Medical Sciences (CAMS) Research Fund, No. ZZ2016B01; Beijing HopeRun Special Fund of Cancer Foundation of China, No. LC2016B15; and PUMC Postgraduate Education and Teaching Reform Fund, No. 10023201900303.
Conflict-of-interest statement: The authors declare no conflict of interests for this article.
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: Xiao-Hong Ma, MD, Associate Professor, Doctor, Department of Diagnostic Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 17 Panjiayuan Nanli, Chaoyang District, Beijing 100021, China. maxiaohong@cicams.ac.cn
Received: January 28, 2021
Peer-review started: January 28, 2021
First decision: March 29, 2021
Revised: April 15, 2021
Accepted: July 27, 2021
Article in press: July 27, 2021
Published online: August 28, 2021
Processing time: 208 Days and 11.7 Hours
Core Tip

Core Tip: Hepatocellular carcinoma (HCC) threatens human health because of its high morbidity and recurrence rates. Patients with HCC may benefit from early diagnosis, timely treatment, and appropriate follow-up strategies. In the era of big data, artificial intelligence (AI) provides critical information regarding the diagnosis, treatment, and prognosis of HCC. We herein discuss the role of AI in the following aspects of preoperative imaging: Segmentation, differential diagnosis, prediction of histopathology, early detection of recurrence after curative treatment, and evaluation of treatment response.