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Articles Published Processes
8/28/2025 8:34:13 AM | Browse: 199 | Download: 533
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Received |
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2025-06-04 07:52 |
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Peer-Review Started |
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2025-06-04 07:52 |
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First Decision by Editorial Office Director |
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2025-06-12 07:57 |
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Return for Revision |
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2025-06-12 07:57 |
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Revised |
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2025-06-24 11:13 |
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Publication Fee Transferred |
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2025-06-29 14:44 |
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Second Decision by Editor |
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2025-07-23 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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2025-07-23 10:53 |
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Articles in Press |
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2025-07-23 10:53 |
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Edit the Manuscript by Language Editor |
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Typeset the Manuscript |
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2025-08-25 00:26 |
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Publish the Manuscript Online |
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2025-08-28 08:34 |
| 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: 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 |
Magnetic resonance imaging-based radiomics signature for predicting preoperative staging of esophageal cancer
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| Manuscript Source |
Unsolicited Manuscript |
| All Author List |
Ri-Hui Yang, Zhi-Ping Lin, Ting Dong, Wei-Xiong Fan, Hao-Dong Qin, 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; Tumor staging; Magnetic resonance imaging; Radiomics; Logistic regression |
| Core Tip |
This study developed a novel magnetic resonance imaging-based radiomics approach to noninvasively predict preoperative stage of esophageal cancer (EC). By integrating quantitative features from T2-weighted imaging and contrast-enhanced T1-weighted imaging sequences in 210 EC patients, a logistic regression model achieved high accuracy in distinguishing early-stage (I-II) from advanced-stage (III-IV) disease. This multimodal radiomics signature outperformed single-sequence models and offers a promising tool for guiding personalized treatment strategies. |
| Publish Date |
2025-08-28 08:34 |
| Citation |
Yang RH, Lin ZP, Dong T, Fan WX, Qin HD, Jiang GH, Dai HY. Magnetic resonance imaging-based radiomics signature for predicting preoperative staging of esophageal cancer. World J Radiol 2025; 17(8): 110307 |
| URL |
https://www.wjgnet.com/1949-8470/full/v17/i8/110307.htm |
| DOI |
https://dx.doi.org/10.4329/wjr.v17.i8.110307 |
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