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Publication Name World Journal of Gastroenterology
Manuscript ID 118584
Country China
Category Gastroenterology & Hepatology
Manuscript Type Retrospective Study
Article Title Artificial intelligence integrated multimodal data assisted magnetic resonance imaging for neoadjuvant chemoradiotherapy decision making in cT1-2N0 rectal cancer
Manuscript Source Unsolicited Manuscript
All Author List Bo-Yu Kang, He Bai, Ke Ni, Yi-Huan Qiao, Yun-Long Li, Yi-Qian Wang, Qi Wang, Jun Zhu and Ji-Peng Li
Funding Agency and Grant Number
Funding Agency Grant Number
National Natural Science Foundation of China No. 82172781
Shaanxi Provincial Health Scientific Research Innovation Team Project No. CBSKL2022ZZ44
Scientific and Technological Innovation Team of Shaanxi Innovation Capability Support Plan No. 2023-CX-TD-67
Corresponding Author Ji-Peng Li, Chief Physician, Postdoc, Professor, Department of Digestive Surgery, The First Affiliated Hospital of Digestive Diseases, Air Force Medical University, No. 127 Changle West Road, Xincheng District, Xi’an 710032, Shaanxi Province, China. jipengli1974@aliyun.com
Key Words cT1-2N0 rectal cancer; Magnetic resonance imaging; Machine learning; Radiomics; SHapley Additive exPlanations; Surgery
Core Tip The artificial intelligence-driven multimodal model not only improves radiomic performance but also offers clinicians a reliable tool to reduce the regret of failing to identify patients who would have benefited from neoadjuvant therapy. Compared with radiologists’ assessments, the model also highlights its reliability and advantages in assisting clinical decision-making.
Citation Kang BY, Bai H, Ni K, Qiao YH, Li YL, Wang YQ, Wang Q, Zhu J, Li JP. Artificial intelligence integrated multimodal data assisted magnetic resonance imaging for neoadjuvant chemoradiotherapy decision making in cT1-2N0 rectal cancer. World J Gastroenterol 2026; In press
Received
2026-01-06 07:54
Peer-Review Started
2026-01-06 08:00
First Decision by Editorial Office Director
2026-01-27 09:37
Return for Revision
2026-01-27 09:37
Revised
2026-01-30 15:04
Publication Fee Transferred
2026-02-06 06:24
Second Decision by Editor
2026-04-08 02:45
Second Decision by Editor-in-Chief
Final Decision by Editorial Office Director
2026-04-08 06:45
Articles in Press
2026-04-08 06:45
Edit the Manuscript by Language Editor
Typeset the Manuscript
ISSN 1007-9327 (print) and 2219-2840 (online)
Open Access This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial (CC BY-NC 4.0) license. No commercial re-use. See Permissions. Published by Baishideng Publishing Group Inc.
Copyright ©Author(s) (or their employer(s)) 2026. No commercial re-use. See Permissions. Published by Baishideng Publishing Group Inc.
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Publisher Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA
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