Copyright
©The Author(s) 2023.
Artif Intell Gastrointest Endosc. Dec 8, 2023; 4(2): 18-26
Published online Dec 8, 2023. doi: 10.37126/aige.v4.i2.18
Published online Dec 8, 2023. doi: 10.37126/aige.v4.i2.18
Table 1 Baseline patient demographics, procedure characteristics and detection rate for both conventional colonoscopy and Artificial Intelligence Assisted Colonoscopy
| AIAC (n = 746) | CC (n = 2162) | |
| Age, median (IQR) | 58.2 (47-69) | 60 (49-71) |
| Sex | ||
| Male | 359 (48.1) | 1034 (47.8) |
| Female | 387 (51.9) | 1128 (52.2) |
| Indication for colonoscopy | ||
| Symptoms | 292 (39.1) | 729 (33.7) |
| Surveillance | 201 (26.9) | 706 (32.7) |
| Positive FOBT | 128 (18.5) | 293 (13.6) |
| Other | 125 (16.8) | 434 (20.1) |
| Bowel Prep Quality | ||
| Not stated | 0 (0) | 1 (0.05) |
| Poor | 39 (5.2) | 107 (4.9) |
| Fair | 101 (13.5) | 225 (10.4) |
| Good | 514 (68.9) | 1582 (73.2) |
| Excellent | 92 (12.3) | 247 (11.4) |
| Caecum intubated | 733 (98.3) | 2104 (97.3) |
| Withdrawal time (min), median (IQR) | 13.31 (9.13-19.06) | 12.49 (8.38-19.0) |
| PDR | 620 (85.3) | 1596 (73.9) |
| Polyps removed | ||
| 0 | 176 (23.6) | 566 (26.2) |
| 1 | 126 (16.9) | 446 (20.6) |
| 2 | 99 (13.3) | 325 (15.0) |
| 3 | 81 (10.9) | 216 (10.0) |
| 4 | 57 (7.6) | 128 (5.9) |
| 5 | 52 (7.0) | 118 (5.5) |
| 6 | 35 (4.7) | 84 (3.9) |
| 7 | 29 (3.9) | 62 (2.9) |
| 8 | 18 (2.4) | 38 (1.8) |
| 9 | 12 (1.6) | 33 (1.5) |
| 10-19 | 52 (7.0) | 129 (6.0) |
| 20-99 | 9 (1.2) | 17 (0.8) |
| Adenoma detection rate | 392 (52.6) | 1125 (52.1) |
| Villous histology | 26/392 (6.6) | 80/1125 (7.1) |
| HGD | 2.3/392 (9.0) | 43 (3.8) |
| Adenomas removed | ||
| 0 | 354 (47.5) | 1037 (48.0) |
| 1 | 167 (42.6) | 478 (42.5) |
| 2 | 74 (18.9) | 232 (20.6) |
| 3 | 39 (10.0) | 138 (12.3) |
| 4 | 31 (7.9) | 88 (7.8) |
| 5 | 22 (5.6) | 69 (6.1) |
| 6 | 15 (3.8) | 33 (2.9) |
| 7 | 10 (2.5) | 32 (2.8) |
| 8 | 12 (3.06) | 22 (2.0) |
| 9 | 5 (1.3) | 11 (1.0) |
| 10-19 | 17 (4.3) | 20 (1.8) |
| 20-99 | 0 (0) | 2 (0.2) |
| Adenoma size | ||
| ≤ 5 mm | 234 (59.7) | 683 (60.7) |
| 5-10 mm | 101 (25.8) | 269 (23.9) |
| 10-20 mm | 49 (12.5) | 126 (11.2) |
| ≥ 20 mm | 8 (2.0) | 47 (4.2) |
| SSLDR | 130 (17.4) | 392 (18.1) |
| SSLs with Dysplasia | 1 (0.7) | 3 (0.7) |
| SSLs removed | ||
| 1 | 65 (50) | 211 (53.8) |
| 2 | 34 (26.2) | 86 (21.9) |
| 3 | 12 (10) | 27 (6.9) |
| 4 | 4 (3.1) | 16 (4.1) |
| ≥ 5 | 12 (10.8) | 52 (13.2) |
| SSL size | ||
| ≤ 5 mm | 58 (44.6) | 173 (44.1) |
| 5-10 mm | 43 (33.1) | 118 (30.1) |
| 10-20 mm | 23 (17.7) | 92 (23.5) |
| ≥ 20 mm | 6 (4.6) | 9 (2.3) |
- Citation: Goetz N, Hanigan K, Cheng RKY. Artificial intelligence fails to improve colonoscopy quality: A single centre retrospective cohort study. Artif Intell Gastrointest Endosc 2023; 4(2): 18-26
- URL: https://www.wjgnet.com/2689-7164/full/v4/i2/18.htm
- DOI: https://dx.doi.org/10.37126/aige.v4.i2.18