©The Author(s) 2023.
World J Gastroenterol. Jan 21, 2023; 29(3): 536-548
Published online Jan 21, 2023. doi: 10.3748/wjg.v29.i3.536
Published online Jan 21, 2023. doi: 10.3748/wjg.v29.i3.536
Table 1 Clinicopathological characteristics of patients in the training set
| Number of linear stapler cartridges | ≥ 3 | ≤ 2 | P value |
| n = 48 (18.5%) | n = 212 (81.5%) | ||
| Sex, n (%) | 0.125 | ||
| Male | 38 (79.2) | 144 (67.9) | |
| Female | 10 (20.8) | 68 (32.1) | |
| Age (y), median (quartile) | 62 (55-71) | 63 (55-68) | 0.749 |
| BMI (Kg/m2), median (quartile) | 23.5 (21.1-25.3) | 22.9 (21.3-25.1) | 0.942 |
| Diabetes mellitus, n (%) | 0.801 | ||
| Yes | 7 (14.6) | 28 (13.2) | |
| No | 41 (85.4) | 184 (86.8) | |
| Hemoglobin (g/L), median (quartile) | 136 (124-143) | 133 (124-144) | 0.540 |
| Albumin (g/L), median (quartile) | 39 (36-41) | 40 (37-42) | 0.015 |
| CEA (ng/mL), median (quartile) | 4.27 (2.11-7.08) | 3.05 (2.11-5.61) | 0.147 |
| nCRT, n (%) | 0.865 | ||
| Yes | 13 (27.1) | 60 (28.3) | |
| No | 35 (72.9) | 152 (71.7) | |
| Distance from anus (cm), median (quartile) | 7.2 (5.9-8.4) | 7.0 (5.6-8.7) | 0.842 |
| CRM evaluated by MRI, n (%) | 0.103 | ||
| Positive | 16 (33.3) | 47 (22.2) | |
| Negative | 32 (66.7) | 165 (77.8) | |
| Operation time (min), median (quartile) | 139 (111-180) | 143 (116-175) | 0.526 |
| Length of cartridges used, n (%) | 0.113 | ||
| Only 60 mm | 42 (87.5) | 200 (94.3) | |
| 45 mm ± 60 mm | 6 (12.5) | 12 (5.7) | |
| Anastomotic leakage, n (%) | 0.018 | ||
| Yes | 12 (25.0) | 25 (11.8) | |
| No | 36 (75.0) | 187 (88.2) | |
| Tumor size (cm), median (quartile) | 3.7 (3.1-5.1) | 3.5 (2.9-4.2) | 0.091 |
| T stage, n (%) | 0.213 | ||
| T ≤ 2 | 11 (22.9) | 68 (32.1) | |
| T 3-4 | 37 (77.1) | 144 (67.9) | |
| N stage, n (%) | 0.879 | ||
| N0 | 25 (52.1) | 113 (53.3) | |
| N+ | 23 (47.9) | 99 (46.7) | |
| DRM, n (%) | 0.395 | ||
| ≤ 5 mm | 4 (8.3) | 27 (12.7) | |
| > 5 mm | 44 (91.7) | 185 (87.3) |
- Citation: Cai ZH, Zhang Q, Fu ZW, Fingerhut A, Tan JW, Zang L, Dong F, Li SC, Wang SL, Ma JJ. Magnetic resonance imaging-based deep learning model to predict multiple firings in double-stapled colorectal anastomosis. World J Gastroenterol 2023; 29(3): 536-548
- URL: https://www.wjgnet.com/1007-9327/full/v29/i3/536.htm
- DOI: https://dx.doi.org/10.3748/wjg.v29.i3.536