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©The Author(s) 2024.
Artif Intell Gastrointest Endosc. Mar 8, 2024; 5(1): 90574
Published online Mar 8, 2024. doi: 10.37126/aige.v5.i1.90574
Published online Mar 8, 2024. doi: 10.37126/aige.v5.i1.90574
Table 2 Baseline characteristics for colorectal polyps, n (%)
| Colorectal polyps, n = 51 | ||
| Location | ||
| Cecum | 7 (13.7) | |
| Ascending colon | 8 (15.7) | |
| Transverse colon | 15 (29.4) | |
| Descending colon | 5 (9.8) | |
| Sigmoid | 10 (19.6) | |
| Rectum | 6 (11.8) | |
| Size, mean (SD) [range] | 2.8 (1.0) [2-5] | |
| Morphology | ||
| Sessile (Paris Is) | 45 (88.2) | |
| Flat-elevated (Paris IIa) | 6 (11.8) | |
| Histopathology | ||
| Tubular adenoma, LGD | 32 (62.7) | |
| Tubulovillous adenoma, LGD | 1 (2.0) | |
| Sessile serrated lesion, no dysplasia | 6 (11.8) | |
| Hyperplastic polyp, no dysplasia | 12 (23.5) | |
| Resection technique – cold snare | 51 (100.0) | |
- Citation: van der Zander QEW, Schreuder RM, Thijssen A, Kusters CHJ, Dehghani N, Scheeve T, Winkens B, van der Ende - van Loon MCM, de With PHN, van der Sommen F, Masclee AAM, Schoon EJ. Artificial intelligence for characterization of diminutive colorectal polyps: A feasibility study comparing two computer-aided diagnosis systems. Artif Intell Gastrointest Endosc 2024; 5(1): 90574
- URL: https://www.wjgnet.com/2689-7164/full/v5/i1/90574.htm
- DOI: https://dx.doi.org/10.37126/aige.v5.i1.90574