| 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: https://creativecommons.org/Licenses/by-nc/4.0/ |
| Copyright |
©The Author(s) 2022. Published by Baishideng Publishing Group Inc. All rights reserved. |
| Article Reprints |
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| Permissions |
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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 |
Observational Study |
| Article Title |
Radiomics and nomogram of magnetic resonance imaging for preoperative prediction of microvascular invasion in small hepatocellular carcinoma
|
| Manuscript Source |
Unsolicited Manuscript |
| All Author List |
Yi-Di Chen, Ling Zhang, Zhi-Peng Zhou, Bin Lin, Zi-Jian Jiang, Cheng Tang, Yi-Wu Dang, Yu-Wei Xia, Bin Song and Li-Ling Long |
| ORCID |
|
| Funding Agency and Grant Number |
| Funding Agency |
Grant Number |
| National Natural Science Foundation of China (General Program) |
82060310 |
| Science and Technology Support Program of Sichuan Province |
2022YFS0071 |
|
| Corresponding Author |
Li-Ling Long, MD, Chairman, Chief Doctor, Professor, Department of Radiology, The First Affiliated Hospital of Guangxi Medical University, No. 6 Shuangyong Road, Nanning 530021, Guangxi Zhuang Autonomous Region, China. cjr.longliling@vip.163.com |
| Key Words |
Magnetic resonance imaging; Hepatocellular carcinoma; Radiomics; Nomogram |
| Core Tip |
Microvascular invasion (MVI) accounts for approximately 20% of small hepatocellular carcinoma (sHCC) (≤ 3.0 cm) and is a poor independent prognostic factor for progression-free survival and overall survival. However, no studies have been published on the preoperative prediction of the MVI of sHCC. This multi-center study was developed and validated radiomics scores and nomogram of gadoxetic acid-enhanced magnetic resonance imaging (EOB-MRI) for the preoperative prediction of MVI in sHCC. The results demonstrated that AFP and conventional EOB-MRI features have poor diagnostic accuracy for MVI in patients with sHCC. The radiomics scores of HBP and diffusion-weighted imaging can improve the ability to predict MVI. As a noninvasive preoperative prediction method, the radiomics nomogram presented in this study showed a favorable predictive accuracy in evaluating MVI of sHCC, which may help reassess the clinical therapeutic regimen for patients with sHCC. |
| Publish Date |
2022-08-16 11:59 |
| Citation |
Chen YD, Zhang L, Zhou ZP, Lin B, Jiang ZJ, Tang C, Dang YW, Xia YW, Song B, Long LL. Radiomics and nomogram of magnetic resonance imaging for preoperative prediction of microvascular invasion in small hepatocellular carcinoma. World J Gastroenterol 2022; 28(31): 4399-4416 |
| URL |
https://www.wjgnet.com/1007-9327/full/v28/i31/4399.htm |
| DOI |
https://dx.doi.org/10.3748/wjg.v28.i31.4399 |
