| 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: http://creativecommons.org/Licenses/by-nc/4.0/ |
| Copyright |
© The Author(s) 2025. Published by Baishideng Publishing Group Inc. All rights reserved. |
| Article Reprints |
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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 |
Retrospective Study |
| Article Title |
Predicting the magnitude of risk for non-curative endoscopic submucosal dissection in superficial esophageal cancer using explainable artificial intelligence
|
| Manuscript Source |
Unsolicited Manuscript |
| All Author List |
Zi-Chen Luo, Hai-Yang Guo, Xiao Tang, Xin-Rui Chen, Cheng-Yu Zhang, Yu-Tong Cui, Ji Zuo, Hao-Rui Li, Xue-Mei Hou, Hao Chen, Shao-Bi Song and Xian-Fei Wang |
| ORCID |
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| Funding Agency and Grant Number |
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| Corresponding Author |
Xian-Fei Wang, Chief Physician, Full Professor, Department of Gastroenterology, Affiliated Hospital of North Sichuan Medical College, No. 1 Maoyuan South Road, Shunqing District, Nanchong 637000, Sichuan Province, China. wangxianfei@nsmc.edu.cn |
| Key Words |
Superficial esophageal cancer; Non-curative resection; Least absolute shrinkage and selection operator regression; Machine learning; Endoscopic submucosal dissection |
| Core Tip |
This multicenter study produced an online, interpretable prediction tool that quantifies the preoperative risk of non-curative endoscopic submucosal dissection for superficial esophageal cancer. With a clear cutoff (Shapley Additive exPlanations value ≥ 0.185), it provides immediate, transparent guidance: High-risk patients are directed to radical surgery, while low-risk ones are confirmed as endoscopic submucosal dissection candidates, ensuring the first treatment choice is optimal. |
| Publish Date |
2026-02-03 06:28 |
| Citation |
Luo ZC, Guo HY, Tang X, Chen XR, Zhang CY, Cui YT, Zuo J, Li HR, Hou XM, Chen H, Song SB, Wang XF. Predicting the magnitude of risk for non-curative endoscopic submucosal dissection in superficial esophageal cancer using explainable artificial intelligence. World J Gastrointest Oncol 2026; 18(2): 114782 |
| URL |
https://www.wjgnet.com/1948-5204/full/v18/i2/114782.htm |
| DOI |
https://dx.doi.org/10.4251/wjgo.v18.i2.114782 |
