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Articles Published Processes
10/14/2025 7:42:38 AM | Browse: 31 | Download: 43
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Received |
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2025-06-12 08:29 |
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Peer-Review Started |
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2025-06-12 08:29 |
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To Make the First Decision |
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Return for Revision |
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2025-07-30 06:40 |
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Revised |
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2025-08-12 05:23 |
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Second Decision |
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2025-09-19 02:40 |
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Accepted by Journal Editor-in-Chief |
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Accepted by Executive Editor-in-Chief |
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2025-09-19 06:38 |
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Articles in Press |
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2025-09-19 06:38 |
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Publication Fee Transferred |
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2025-08-15 13:55 |
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Edit the Manuscript by Language Editor |
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Typeset the Manuscript |
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2025-10-06 14:16 |
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Publish the Manuscript Online |
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2025-10-14 07:42 |
| 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 |
Radiology, Nuclear Medicine & Medical Imaging |
| Manuscript Type |
Retrospective Study |
| Article Title |
Predicting esophageal cancer response to neoadjuvant therapy with magnetic resonance imaging radiomics
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| Manuscript Source |
Unsolicited Manuscript |
| All Author List |
Ri-Hui Yang, Wei-Xiong Fan, Yi Zhong, Zhi-Ping Lin, Jian-Ping Chen, Gui-hua Jiang and Hai-Yang Dai |
| ORCID |
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| Funding Agency and Grant Number |
| Funding Agency |
Grant Number |
| Guangdong Medical Research Foundation |
B2023272 |
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| Corresponding Author |
Hai-Yang Dai, MD, Department of Radiology, Huizhou Central People’s Hospital, No. 41 North Eling Road, Huizhou 516001, Guangdong Province, China. d.ocean@163.com |
| Key Words |
Esophageal cancer; Neoadjuvant therapy; Pathological response; Magnetic resonance imaging; Radiomics |
| Core Tip |
Few studies have utilized multiple radiomic algorithms to predict the pathological response to neoadjuvant therapy (NAT) in esophageal cancer (EC). In this study we found ten radiomics features related to pathological therapeutic response. The ExtraTrees algorithm performed good efficiency in the predictive and validation sets. Our study showed that the radiomics model derived from magnetic resonance imaging T2-weighted imaging images demonstrates good performance in determining the pathological response of NAT in EC, which would help individualized plans in EC. |
| Publish Date |
2025-10-14 07:42 |
| Citation |
<p>Yang RH, Fan WX, Zhong Y, Lin ZP, Chen JP, Jiang GH, Dai HY. Predicting esophageal cancer response to neoadjuvant therapy with magnetic resonance imaging radiomics. <i>World J Gastrointest Oncol</i> 2025; 17(10): 110671</p> |
| URL |
https://www.wjgnet.com/1948-5204/full/v17/i10/110671.htm |
| DOI |
https://dx.doi.org/10.4251/wjgo.v17.i10.110671 |
© 2004-2025 Baishideng Publishing Group Inc. All rights reserved. 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA
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