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©The Author(s) 2023. Published by Baishideng Publishing Group Inc. All rights reserved.
World J Gastroenterol. Apr 7, 2023; 29(13): 2001-2014
Published online Apr 7, 2023. doi: 10.3748/wjg.v29.i13.2001
Published online Apr 7, 2023. doi: 10.3748/wjg.v29.i13.2001
Preoperative prediction of macrotrabecular-massive hepatocellular carcinoma through dynamic contrast-enhanced magnetic resonance imaging-based radiomics
Yang Zhang, Dong He, Jing Liu, Cancer Center, Department of Radiology, Zhejiang Provincial People's Hospital, Affiliated People's Hospital, Hangzhou Medical College, Hangzhou 310014, Zhejiang Province, China
Yu-Guo Wei, Precision Health Institution, General Electric Healthcare, Hangzhou 310014, Zhejiang Province, China
Lin-Lin Shi, Department of Gastroenterology, Zhejiang Hospital of Integrated Traditional Chinese and Western Medicine, Hangzhou 310005, Zhejiang Province, China
Author contributions: Shi LL was the guarantor and designed the study; Zhang Y, He D, Liu J, and Shi LL participated in the acquisition, analysis, and interpretation of the data; Wei YG reviewed statistical methods; Zhang Y drafted the initial manuscript; Shi LL revised the article critically for important intellectual content; all authors have read and approve the final manuscript.
Supported by Zhejiang Provincial Natural Science Foundation of China , No. LTGY23H180017 ; and Medical Science and Technology Project of Zhejiang Province , No. 2023KY503 .
Institutional review board statement: The study was reviewed and approved by the ethics committee at Zhejiang Provincial People’s Hospital (Approval No. QT2022339).
Informed consent statement: Written informed consent was not required for this study because of retrospective study.
Conflict-of-interest statement: There are no conflicts of interest to report.
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: Lin-Lin Shi, MD, Doctor, Department of Gastroenterology, Zhejiang Hospital of Integrated Traditional Chinese and Western Medicine, No. 208 East Ring Road, Hangzhou 310005, Zhejiang Province, China. linlinshi2022@163.com
Received: December 12, 2022
Peer-review started: December 12, 2022
First decision: January 22, 2023
Revised: February 1, 2023
Accepted: March 20, 2023
Article in press: March 20, 2023
Published online: April 7, 2023
Processing time: 116 Days and 2.9 Hours
Peer-review started: December 12, 2022
First decision: January 22, 2023
Revised: February 1, 2023
Accepted: March 20, 2023
Article in press: March 20, 2023
Published online: April 7, 2023
Processing time: 116 Days and 2.9 Hours
Core Tip
Core Tip: Radiomics features can be used to predict the macrotrabecular-massive hepatocellular carcinoma (MTM-HCC) subtype. The logistic regression algorithm can improve the accuracy and stability of predicting MTM-HCC. Age, alpha-fetoprotein, tumour size, tumour-to-liver apparent diffusion coefficient ratio, and radiomics score were significant independent predictors of MTM-HCC. The nomogram based on radiomics, clinical and radiological features can serve as a noninvasive biomarker to preoperatively identify MTM-HCC.