Application of artificial intelligence-driven three-dimensional imaging in preoperative planning for rectosigmoid colon cancer

doi:10.4240/wjgs.v18.i5.119310

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World Journal of Gastrointestinal Surgery

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1948-9366

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Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA

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Copyright: ©Author(s) 2026. 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.

World J Gastrointest Surg. May 27, 2026; 18(5): 119310
Published online May 27, 2026. doi: 10.4240/wjgs.v18.i5.119310

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Figure 4 Artificial intelligence-driven digital three-dimensional imaging digital imaging render. A: Cross-sectional imaging view of the tumor; B: Sagittal imaging view of the tumor; C: Location of the rectal tumor (yellow area); D: Tumor size (a: 3.39 cm, b: 3.03 cm); E: Distance from the tumor’s lowest border to the anal verge measurement result (a: 15.63 cm); F: Enlarged lymph nodes.

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
URL: https://www.wjgnet.com/1948-9366/full/v18/i5/119310.htm
DOI: https://dx.doi.org/10.4240/wjgs.v18.i5.119310

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 [DOI: 10.4240/wjgs.v18.i5.119310]

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