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Articles Published Processes
5/27/2026 1:21:59 PM | Browse: 65 | Download: 447
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Received |
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2026-01-26 07:00 |
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Peer-Review Started |
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2026-01-26 07:03 |
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First Decision by Editorial Office Director |
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2026-02-04 09:51 |
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Return for Revision |
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2026-02-04 09:51 |
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Revised |
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2026-02-11 11:26 |
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Publication Fee Transferred |
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2026-02-17 16:24 |
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Second Decision by Editor |
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2026-03-04 02:41 |
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Second Decision by Editor-in-Chief |
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Final Decision by Editorial Office Director |
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2026-03-04 07:28 |
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Articles in Press |
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2026-03-04 07:28 |
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Edit the Manuscript by Language Editor |
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Typeset the Manuscript |
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2026-05-13 03:36 |
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Publish the Manuscript Online |
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2026-05-27 13:21 |
| ISSN |
1948-9366 (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 |
©Author(s) (or their employer(s)) 2026. No commercial re-use. See Permissions. Published by Baishideng Publishing Group Inc. |
| 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 |
Oncology |
| Manuscript Type |
Observational Study |
| Article Title |
Application of artificial intelligence-driven three-dimensional imaging in preoperative planning for rectosigmoid colon cancer
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| Manuscript Source |
Unsolicited Manuscript |
| All Author List |
Jian-Ming Wei, Shang-Xiang Chen, Ting He and Jun-Fu Wang |
| ORCID |
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| Funding Agency and Grant Number |
| Funding Agency |
Grant Number |
| Nanchang University First Affiliated Hospital Clinical Research Cultivation Fund Project |
No.YFYLCYJPY202424 |
| the Chronic Disease Management Research Project of National Health Commission Capacity Building and Continuing Education Center |
GWJJMB202510022033 |
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| Corresponding Author |
Jun-Fu Wang, Department of General Surgery, The 1st Affiliated Hospital, Jiangxi Medical College, Nanchang University, No. 17 Yongwai Zheng Street, Nanchang 330006, Jiangxi Province, China. fu5718418@163.com |
| Key Words |
Artificial intelligence; Three-dimensional digital imaging; Rectosigmoid cancer; Tumor burden; Distance from the tumor’s lowest border to the anal verge |
| Core Tip |
In this study, AI-driven digital three-dimensional imaging demonstrated significant advantages in the preoperative evaluation of rectosigmoid cancer. Compared with pathological specimens, it showed high consistency in measuring the maximum tumor diameter and cross-sectional area. Moreover, the sensitivity of this technique in predicting lymph node metastasis was significantly higher than that of computed tomography. This technology can enhance the accuracy of preoperative assessment and assist in individualized surgical planning. |
| Publish Date |
2026-05-27 13:21 |
| Citation |
Wei JM, Chen SX, He T, Wang JF. Application of artificial intelligence-driven three-dimensional imaging in preoperative planning for rectosigmoid colon cancer. World J Gastrointest Surg 2026; 18(5): 119310
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| URL |
https://www.wjgnet.com/1948-9366/full/v18/i5/119310.htm |
| DOI |
https://dx.doi.org/10.4240/wjgs.v18.i5.119310 |
Copyright © 1993-2026 Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA. All rights reserved, including rights relating to text and data mining, AI training, and similar technologies. For open-access content, the applicable copyright and licensing terms govern.
