| ISSN |
1007-9327 (print) and 2219-2840 (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 Cohort Study |
| Article Title |
Artificial intelligence-assisted diagnosis of rectal neuroendocrine tumors during white-light endoscopy
|
| Manuscript Source |
Unsolicited Manuscript |
| All Author List |
Ke Liu, Zhen-Yu Wang, Li-Zhi Yi, Feng Li, Shun-Hui He, Xi-Gang Zhang, Chun-Xiao Lai, Zhi-Jian Li, Lin Qiu, Rui-Ya Zhang, Wen Wu, Yu Lin, Hui Yang, Gui-Ming Liu, Quan-Sheng Guan, Zhi-Fang Zhao, Li-Ming Cheng, Jie Dai, Yang Bai, Fang Xie, Meng-Nan Zhang, Su-Zuan Chen and Xian-Fei Zhong |
| ORCID |
|
| Funding Agency and Grant Number |
| Funding Agency |
Grant Number |
| Municipal Key Science and Technology Program of Leshan |
23SZD039 |
| National Natural Science Foundation of China |
82470539 |
|
| Corresponding Author |
Xian-Fei Zhong, Department of Gastroenterology, The People’s Hospital of Leshan, Southwest Medical University, No. 238 White Tower Road, Leshan 614000, Sichuan Province, China. 13981302161@163.com |
| Key Words |
Artificial intelligence; Rectal neuroendocrine tumors; Polyps; White light; Endoscopy |
| Core Tip |
Due to significantly lower incidence compared to colorectal polyps and macroscopic features resembling hyperplastic polyps, rectal neuroendocrine tumors (rNETs) are frequently misdiagnosed and resected as polyps. This often leads to the need of additional salvage treatments or repeated imaging and endoscopic follow-ups. To the best of our knowledge, there are currently no reports on the application of artificial intelligence for assisting in the white-light diagnosis of rNETs. In this study, we developed a model for the detection of rNETs based on the YOLOv7 algorithm, which demonstrated high diagnostic performance and outperformed the majority of endoscopists in lesion identification. |
| Publish Date |
2025-12-27 02:50 |
| Citation |
Liu K, Wang ZY, Yi LZ, Li F, He SH, Zhang XG, Lai CX, Li ZJ, Qiu L, Zhang RY, Wu W, Lin Y, Yang H, Liu GM, Guan QS, Zhao ZF, Cheng LM, Dai J, Bai Y, Xie F, Zhang MN, Chen SZ, Zhong XF. Artificial intelligence-assisted diagnosis of rectal neuroendocrine tumors during white-light endoscopy. World J Gastroenterol 2025; 31(48): 112683 |
| URL |
https://www.wjgnet.com/1007-9327/full/v31/i48/112683.htm |
| DOI |
https://dx.doi.org/10.3748/wjg.v31.i48.112683 |
