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©The Author(s) 2024. Published by Baishideng Publishing Group Inc. All rights reserved.
World J Gastrointest Oncol. Apr 15, 2024; 16(4): 1309-1318
Published online Apr 15, 2024. doi: 10.4251/wjgo.v16.i4.1309
Published online Apr 15, 2024. doi: 10.4251/wjgo.v16.i4.1309
Application of texture signatures based on multiparameter-magnetic resonance imaging for predicting microvascular invasion in hepatocellular carcinoma: Retrospective study
Hai-Yang Nong, Mi Qin, Wen-Qi Qin, You-Xiang Xie, Ke Ding, Department of Radiology, The Third Affiliated Hospital of Guangxi Medical University, Nanning 530031, Guangxi Zhuang Autonomous Region, China
Hai-Yang Nong, Department of Radiology, The Affiliated Hospital of Youjiang Medical University for Nationalities, Baise 533000, Guangxi Zhuang Autonomous Region, China
Yong-Yi Cen, Department of Radiology, The First Affiliated Hospital of Guangxi University of Traditional Chinese Medicine, Nanning 530031, Guangxi Zhuang Autonomous Region, China
Lin Li, Department of Hepatobiliary Surgery, The Third Affiliated Hospital of Guangxi Medical University, Nanning 530031, Guangxi Zhuang Autonomous Region, China
Man-Rong Liu, Department of Ultrasound, The Third Affiliated Hospital of Guangxi Medical University, Nanning 530031, Guangxi Zhuang Autonomous Region, China
Co-corresponding authors: Man-Rong Liu and Ke Ding.
Author contributions: Nong HY, Ding K, Cen YY, and Qin M carried out the studies, participated in collecting data, and drafted the manuscript; Ding K, Liu MR, Nong HY, and Li L performed the statistical analysis and participated in its design; Qin WQ and Xie YX helped to draft the manuscript; all authors read and approved the final manuscript. Liu MR and Ding K contributed equally to this study and serve as co-corresponding authors of this study.
Supported by National Natural Science Foundation of China , No. 81560278 ; and the Health Commission of Guangxi Zhuang Autonomous Region , No. Z-A20221157, No. Z20200953, and No. G201903023.
Institutional review board statement: The study protocol was approved by the Ethics Committees of The Third Affiliated Hospital of Guangxi Medical University.
Informed consent statement: All the patients provided written informed consent for participation.
Conflict-of-interest statement: There are no conflicts of interest to report.
Data sharing statement: No additional data are available.
STROBE statement: The authors have read the STROBE Statement—checklist of items, and the manuscript was prepared and revised according to the STROBE Statement—checklist of items.
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: Ke Ding, MD, Doctor, Department of Radiology, The Third Affiliated Hospital of Guangxi Medical University, No. 13 Dancun Road, Nanning 530031, Guangxi Zhuang Autonomous Region, China. 272480365@qq.com
Received: October 30, 2023
Peer-review started: October 30, 2023
First decision: December 5, 2023
Revised: December 18, 2023
Accepted: February 5, 2024
Article in press: February 5, 2024
Published online: April 15, 2024
Processing time: 163 Days and 18.3 Hours
Peer-review started: October 30, 2023
First decision: December 5, 2023
Revised: December 18, 2023
Accepted: February 5, 2024
Article in press: February 5, 2024
Published online: April 15, 2024
Processing time: 163 Days and 18.3 Hours
Core Tip
Core Tip: Texture analysis using arterial phase images provides superior predictive efficacy for microvascular invasion (MVI) in hepatocellular carcinoma (HCC) compared to T2-weighted imaging, portal venous, and equilibrium phases. The texture analysis of liver magnetic resonance images holds significant value for the preoperative prediction of MVI in HCC patients.