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World J Gastrointest Surg. May 27, 2026; 18(5): 119310
Published online May 27, 2026. doi: 10.4240/wjgs.v18.i5.119310
Published online May 27, 2026. doi: 10.4240/wjgs.v18.i5.119310
Application of artificial intelligence-driven three-dimensional imaging in preoperative planning for rectosigmoid colon cancer
Jian-Ming Wei, Shang-Xiang Chen, Ting He, Jun-Fu Wang, Department of General Surgery, The 1st Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang 330006, Jiangxi Province, China
Co-first authors: Jian-Ming Wei and Shang-Xiang Chen.
Author contributions: Wei JM and Chen SX designed the study and drafted the paper; He T gathered the data; Wang JF critically revised the manuscript and approved the final version for publication. Wei JM and Chen SX contributed equally to this work as co-first authors.
AI contribution statement: No AI tools were used. We did not use AI tools to write any part of the manuscript body. We did not use AI tools for language polishing, translation, data analysis, or manuscript writing assistance. AI tools are not involved in calculations or research results. No AI tools were used to generate images.
Supported by Nanchang University First Affiliated Hospital Clinical Research Cultivation Fund Project, No. YFYLCYJPY202424; and the Chronic Disease Management Research Project of National Health Commission Capacity Building and Continuing Education Center, No. GWJJMB202510022033.
Institutional review board statement: The study was reviewed and approved by the Medical Ethics Committee of the First Affiliated Hospital of Nanchang University.
Informed consent statement: The Institutional Review Board of the First Affiliated Hospital of Nanchang University waived the requirement for informed consent because of the minimal risk.
Conflict-of-interest statement: The authors of this manuscript declare no relationships with any companies, whose products or services may be related to the subject matter of the article.
STROBE statement: The authors have read the STROBE Statement-checklist of items, and the manuscript was prepared and revised according to the STROBE Statement-checklist of items.
Data sharing statement: No additional data are available.
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
Received: January 26, 2026
Revised: February 11, 2026
Accepted: March 4, 2026
Published online: May 27, 2026
Processing time: 124 Days and 3.2 Hours
Revised: February 11, 2026
Accepted: March 4, 2026
Published online: May 27, 2026
Processing time: 124 Days and 3.2 Hours
Core Tip
Core Tip: In this study, Artificial intelligence-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.