| 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) 2024. Published by Baishideng Publishing Group Inc. All rights reserved. |
| Article Reprints |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/247
|
| Permissions |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/207
|
| 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 |
Unveiling the secrets of gastrointestinal mucous adenocarcinoma survival after surgery with artificial intelligence: A population-based study
|
| Manuscript Source |
Unsolicited Manuscript |
| All Author List |
Jie Song, Xiang-Xiu Yan, Fang-Liang Zhang, Yong-Yi Lei, Zi-Yin Ke, Fang Li, Kai Zhang, Yu-Qi He, Wei Li, Chao Li and Yuan-Ming Pan |
| ORCID |
|
| Funding Agency and Grant Number |
|
| Corresponding Author |
Yuan-Ming Pan, Cancer Research Center, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis and Thoracic Tumor Research Institute, No 9 Beiguan Street, Tongzhou District, Beijing 101149, China. peterfpan2020@mail.ccmu.edu.cn |
| Key Words |
Deep learning; Gastrointestinal mucous adenocarcinoma; Overall survival; Surgery; Clinical tool |
| Core Tip |
After surgery, some patients can be diagnosed with gastrointestinal mucous adenocarcinoma (GMA) by pathology, a rare subtype cancer. However, research on GMA is limited and controversial, and there is no reference tool for their postoperative survival prediction. We searched Surveillance, Epidemiology, and End Results database and collected 11390 GMA patients’ clinical information. Then we constructed a deep learning-based tool to predict GMA patients’ overall survival after surgery, and the tool has been uploaded. After our analysis, combining surgery, chemotherapy, and adequate lymph node dissection during surgery can improve patient outcomes. |
| Publish Date |
2024-06-15 02:49 |
| Citation |
<p>Song J, Yan XX, Zhang FL, Lei YY, Ke ZY, Li F, Zhang K, He YQ, Li W, Li C, Pan YM. Unveiling the secrets of gastrointestinal mucous adenocarcinoma survival after surgery with artificial intelligence: A population-based study. <i>World J Gastrointest Oncol</i> 2024; 16(6): 2404-2418</p> |
| URL |
https://www.wjgnet.com/1948-5204/full/v16/i6/2404.htm |
| DOI |
https://dx.doi.org/10.4251/wjgo.v16.i6.2404 |
