BPG is committed to discovery and dissemination of knowledge
Articles Published Processes
10/27/2025 10:57:51 AM | Browse: 115 | Download: 112
 |
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 |
|
2025-10-17 06:20 |
|
Publish the Manuscript Online |
|
2025-10-27 10:57 |
| ISSN |
1948-5182 (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: http://creativecommons.org/Licenses/by-nc/4.0/ |
| Copyright |
© The Author(s) 2025. Published by Baishideng Publishing Group Inc. All rights reserved. |
| Article Reprints |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/247
|
| Permissions |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/207
|
| Publisher |
Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA |
| Website |
http://www.wjgnet.com |
| 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 |
| ORCID |
|
| 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. |
| Publish Date |
2025-10-27 10:57 |
| Citation |
<p>Zhou SQ, Ke QH. Advancing precision in hepatocellular carcinoma prognostication: The promise of biparametric magnetic resonance imaging-based multimodal models. <i>World J Hepatol</i> 2025; 17(10): 112078</p> |
| URL |
https://www.wjgnet.com/1948-5182/full/v17/i10/112078.htm |
| DOI |
https://dx.doi.org/10.4254/wjh.v17.i10.112078 |
© 2004-2025 Baishideng Publishing Group Inc. All rights reserved. 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA
California Corporate Number: 3537345
