Copyright: ©Author(s) 2026.
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
Figure 2 Three techniques for detecting tumor burden and the distance from the tumor’s lowest border to the anal verge.
A: Detect tumor burden in colorectal cancer using computed tomography equipment; B: Detect distance from the tumor’s lowest border to the anal verge (DTAV) using colonoscopy equipment; C: Detect tumor burden in colorectal cancer and DTAV using artificial intelligence-driven digital three-dimensional. DTAV: Distance from the tumor’s lowest border to the anal verge; AI-3D: Artificial intelligence-driven digital three-dimensional imaging; CT: Computed tomography.
- 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