Publication Name	World Journal of Hepatology
Manuscript ID	112078
Country	China

Category	Oncology
Manuscript Type	Letter to the Editor
Article Title	Advancing precision in hepatocellular carcinoma prognostication: The promise of biparametric magnetic resonance imaging-based multimodal models
Manuscript Source	Invited Manuscript
All Author List	Shi-Qiong Zhou and Qing-Hua Ke
Funding Agency and Grant Number
Corresponding Author	Qing-Hua Ke, Department of Chemoradiotherapy, The First Affiliated Hospital of Yangtze University, No. 10 TianHu Road, Shashi District, Jingzhou 434000, Hubei Province, China. 3803354759@qq.com
Key Words	Hepatocellular carcinoma; Ki-67; Biparametric magnetic resonance imaging; Radiomics; Deep transfer learning; Recurrence-free survival
Core Tip	Zuo and Liu examined the prognostic performance of a biparametric magnetic resonance imaging-based multimodal model in hepatocellular carcinoma. By integrating radiomics, deep transfer learning - a technique that captures subtle imaging patterns imperceptible to the human eye through convolutional neural networks, and clinical factors, this integrated multimodal model effectively predicts Ki-67 risk stratification and recurrence-free survival, offering a noninvasive alternative to invasive histopathological analysis. Given the retrospective nature of the cohort, further validation in multicenter, prospective studies is essential. This work advances precision prognostication in hepatocellular carcinoma, addressing the critical need for preoperative risk stratification tools.
Citation	Zhou SQ, Ke QH. Advancing precision in hepatocellular carcinoma prognostication: The promise of biparametric magnetic resonance imaging-based multimodal models. World J Hepatol 2025; In press

Received	2025-07-17 03:27
Peer-Review Started	2025-07-17 03:28
To Make the First Decision
Return for Revision	2025-07-22 09:21
Revised	2025-07-28 05:58
Second Decision	2025-09-17 02:51
Accepted by Journal Editor-in-Chief
Accepted by Executive Editor-in-Chief	2025-09-17 06:44
Articles in Press	2025-09-17 06:44
Publication Fee Transferred
Edit the Manuscript by Language Editor
Typeset the Manuscript

ISSN	1948-5182 (online)
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