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2/25/2026 5:38:46 AM | Browse: 12 | Download: 49
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Received |
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2025-11-13 05:17 |
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Peer-Review Started |
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2025-11-13 05:18 |
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First Decision by Editorial Office Director |
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2025-12-30 07:21 |
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Return for Revision |
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2025-12-30 07:21 |
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Revised |
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2026-01-11 03:47 |
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Publication Fee Transferred |
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Second Decision by Editor |
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2026-01-19 02:38 |
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Second Decision by Editor-in-Chief |
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Final Decision by Editorial Office Director |
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2026-01-19 07:32 |
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Articles in Press |
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2026-01-19 07:32 |
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Edit the Manuscript by Language Editor |
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Typeset the Manuscript |
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2026-02-10 01:43 |
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Publish the Manuscript Online |
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2026-02-25 05:32 |
| ISSN |
1949-8470 (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) 2026. Published by Baishideng Publishing Group Inc. All rights reserved. |
| Article Reprints |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/247
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| Permissions |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/207
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| Publisher |
Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA |
| Website |
http://www.wjgnet.com |
| Category |
Radiology, Nuclear Medicine & Medical Imaging |
| Manuscript Type |
Retrospective Study |
| Article Title |
Interpretable radiomics model based on magnetic resonance imaging to predict responses to transarterial chemoembolization for hepatocellular carcinoma
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| Manuscript Source |
Invited Manuscript |
| All Author List |
Qi Mao, Peng Zhang, Mao-Ting Zhou, Yue Shi, Xu Li Min, Hao Xu, Lin Yang and Xiao-Ming Zhang |
| Funding Agency and Grant Number |
| Funding Agency |
Grant Number |
| the Project of City-University Science and Technology Strategic Cooperation of Nanchong City |
20SXQT0324 |
| the Project of City-University Science and Technology Strategic Cooperation of Nanchong City |
20SXQT0246 |
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| Corresponding Author |
Lin Yang, MD, Center of Interventional Medical, Department of Radiology, The Affiliated Hospital of North Sichuan Medical College, No. 63 Wenhua Road, Nanchong 637000, Sichuan Province, China. linyangmd@163.com |
| Key Words |
Magnetic resonance imaging; Radiomics; Hepatocellular carcinoma; Transarterial chemoembolization; Treatment response |
| Core Tip |
Transarterial chemoembolization (TACE) plays an important role in the treatment of unresectable hepatocellular carcinoma (HCC). However, owing to the heterogeneity of HCC tumors, TACE efficacy varies among individual HCC patients. Accurate preoperative prediction of responses to TACE among HCC patients could guide the development of individualized treatment strategies and improve patient outcomes. This study aimed to investigate the predictive value of multiple-sequence magnetic resonance imaging radiomic features combined with clinical indices for the response to TACE among HCC patients and to develop an interpretable machine learning model. |
| Publish Date |
2026-02-25 05:32 |
| Citation |
Mao Q, Zhang P, Zhou MT, Shi Y, Min XL, Xu H, Yang L, Zhang XM. Interpretable radiomics model based on magnetic resonance imaging to predict responses to transarterial chemoembolization for hepatocellular carcinoma. World J Radiol 2026; 18(2): 116486 |
| URL |
https://www.wjgnet.com/1949-8470/full/v18/i2/116486.htm |
| DOI |
https://dx.doi.org/10.4329/wjr.v18.i2.116486 |
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