| 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/ |
| Copyright |
© The Author(s) 2021. Published by Baishideng Publishing Group Inc. All rights reserved. |
| Article Reprints |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/247
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| Permissions |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/207
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| Publisher |
Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA |
| Website |
http://www.wjgnet.com |
| Category |
Gastroenterology & Hepatology |
| Manuscript Type |
Minireviews |
| Article Title |
Application of artificial intelligence in the preoperative imaging of hepatocellular carcinoma: Current and future perspectives
|
| Manuscript Source |
Invited Manuscript |
| All Author List |
Bing Feng, Xiao-Hong Ma, Shuang Wang, Wei Cai, Xia-Bi Liu and Xin-Ming Zhao |
| ORCID |
|
| Funding Agency and Grant Number |
| Funding Agency |
Grant Number |
| CAMS Innovation Fund for Medical Sciences (CIFMS) |
2016-I2M-1-001 |
| PUMC Youth Fund |
2017320010 |
| Chinese Academy of Medical Sciences (CAMS) Research Fund |
ZZ2016B01 |
| Beijing HopeRun Special Fund of Cancer Foundation of China |
LC2016B15 |
| PUMC Postgraduate Education and Teaching Reform Fund |
10023201900303 |
|
| 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 |
| Key Words |
Hepatocellular carcinoma; Radiomics; Artificial intelligence; Diagnosis; Treatment; Recurrence |
| 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 recurrence after curative treatment, and treatment response. |
| Publish Date |
2021-08-25 02:11 |
| Citation |
Feng B, Ma XH, Wang S, Cai W, Liu XB, Zhao XM. Application of artificial intelligence in the preoperative imaging of hepatocellular carcinoma: Current and future perspectives. World J Gastroenterol 2021; 27(32): 5341-5350 |
| URL |
https://www.wjgnet.com/1007-9327/full/v27/i32/5341.htm |
| DOI |
https://dx.doi.org/10.3748/wjg.v27.i32.5341 |
