Copyright
©The Author(s) 2022. Published by Baishideng Publishing Group Inc. All rights reserved.
World J Gastroenterol. Jun 28, 2022; 28(24): 2733-2747
Published online Jun 28, 2022. doi: 10.3748/wjg.v28.i24.2733
Published online Jun 28, 2022. doi: 10.3748/wjg.v28.i24.2733
Radiomic analysis based on multi-phase magnetic resonance imaging to predict preoperatively microvascular invasion in hepatocellular carcinoma
Yue-Ming Li, Yue-Min Zhu, Lan-Mei Gao, Ze-Wen Han, Xiao-Jie Chen, Chuan Yan, Rong-Ping Ye, Dai-Rong Cao, Department of Radiology, The First Affiliated Hospital of Fujian Medical University, Fuzhou 350005, Fujian Province, China
Yue-Ming Li, Key Laboratory of Radiation Biology (Fujian Medical University), Fujian Province University, Fuzhou 350005, Fujian Province, China
Author contributions: Li YM, Zhu YM, and Cao DR worked out the conceptualization; Li YM, Cao DR, and Zhu YM did the methodology; Zhu YM and Yan C analyzed, collected, and interpreted the data; Li YM and Cao DR contributed to study supervision; all authors edited and reviewed the manuscript, and have read and approved the final manuscript.
Supported by Joint Funds for the Innovation of Science and Technology , Fujian Province (CN), No. 2019Y9125.
Institutional review board statement: This study was reviewed and approved by the Ethics Committee of the First Affiliated Hospital of Fujian Medical University.
Informed consent statement: This study was approved by the institutional review board of our institution. The requirement for written informed consent was waived for this retrospective study.
Conflict-of-interest statement: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential 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: https://creativecommons.org/Licenses/by-nc/4.0/
Corresponding author: Dai-Rong Cao, MD, Chief Doctor, Department of Radiology, The First Affiliated Hospital of Fujian Medical University, No. 20 Chazhong Road, Fuzhou 350005, Fujian Province, China. 3502505836@qq.com
Received: December 24, 2021
Peer-review started: December 24, 2021
First decision: March 10, 2022
Revised: March 20, 2022
Accepted: May 12, 2022
Article in press: May 12, 2022
Published online: June 28, 2022
Peer-review started: December 24, 2021
First decision: March 10, 2022
Revised: March 20, 2022
Accepted: May 12, 2022
Article in press: May 12, 2022
Published online: June 28, 2022
Core Tip
Core Tip: We developed a radiomic analysis model based on pre-operative magnetic resonance imaging data to predict microvascular invasion (MVI) in hepatocellular carcinoma (HCC). Quantitative analyses included most discriminant factors (MDFs) developed using the linear discriminant analysis algorithm and histogram analysis with MaZda software. The area under the receiver operating characteristic curve value of the model and the result of internal five-fold cross-validation showed favorable predictive efficacy. Noninvasive radiomic model based on MDF values and imaging biomarkers may be useful to make preoperative prediction of MVI in patients with primary HCC.