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Articles Published Processes
2/3/2026 6:28:04 AM | Browse: 0 | Download: 0
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Received |
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2025-10-09 02:26 |
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Peer-Review Started |
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2025-10-09 02:27 |
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First Decision by Editorial Office Director |
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2025-11-05 07:44 |
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Return for Revision |
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2025-11-05 07:44 |
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Revised |
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2025-11-10 03:13 |
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Publication Fee Transferred |
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Second Decision by Editor |
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2025-11-25 02:36 |
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Second Decision by Editor-in-Chief |
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Final Decision by Editorial Office Director |
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2025-11-25 05:54 |
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Articles in Press |
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2025-11-25 05:54 |
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Edit the Manuscript by Language Editor |
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2025-11-27 02:00 |
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Typeset the Manuscript |
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2026-01-26 05:54 |
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Publish the Manuscript Online |
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2026-02-03 06:28 |
| ISSN |
1948-5204 (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: https://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
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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 |
Gastroenterology & Hepatology |
| Manuscript Type |
Editorial |
| Article Title |
Radiomics-based model for predicting neoadjuvant therapy response in esophageal cancer: Limitations and suggestions
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| Manuscript Source |
Invited Manuscript |
| All Author List |
Zong-Xian Zhao |
| ORCID |
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| Funding Agency and Grant Number |
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| Corresponding Author |
Zong-Xian Zhao, MD, Department of Anorectal Surgery, Fuyang People’s Hospital, No. 501 Sanqing Road, Yingzhou District, Fuyang 236000, Anhui Province, China. 461901580@qq.com |
| Key Words |
Esophageal cancer; Neoadjuvant therapy; Magnetic resonance imaging; Radiomics; Predictive model; Limitations |
| Core Tip |
Accurate prediction of neoadjuvant therapy response in esophageal cancer (EC) is critical to avoid ineffective treatment. Yang et al developed a non-invasive T2-weighted magnetic resonance imaging (T2WI)-radiomics model but with key limitations. These limitations include single-center, small-sample retrospective design, exclusive reliance on T2WI sequences, inadequate stability of manual segmentation, and insufficient clinical interpretability. Corresponding optimization suggestions are proposed in this editorial. Only through multicenter validation, multidisciplinary collaboration, and multimodal integration can radiomics-based machine learning models be truly translated into clinical practice, thereby supporting personalized treatment decision-making for patients with EC. |
| Publish Date |
2026-02-03 06:28 |
| Citation |
Zhao ZX. Radiomics-based model for predicting neoadjuvant therapy response in esophageal cancer: Limitations and suggestions. World J Gastrointest Oncol 2026; 18(2): 114981 |
| URL |
https://www.wjgnet.com/1948-5204/full/v18/i2/114981.htm |
| DOI |
https://dx.doi.org/10.4251/wjgo.v18.i2.114981 |
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