Table 2 Baseline information of TMA cases
From: Oral epithelial dysplasia detection and grading in oral leukoplakia using deep learning
| Â | Hyperplasia | Mild dysplasia | Moderate dysplasia | Severe dysplasia | Total | P |
|---|---|---|---|---|---|---|
Number of slides | 124 | 43 | 51 | 11 | 229 | Â |
Sex | Â | Â | Â | Â | Â | 0.55 |
Male | 61 (49.2%) | 18 (41.9%) | 20 (39.2%) | 6 (54.5%) | 105 (45.9%) | Â |
Female | 63 (50.8%) | 25 (58.1%) | 31 (60.8%) | 5 (45.5%) | 124 (54.1%) | Â |
Age | 57.8 ± 12.2 | 59.0 ± 13.0 | 60.8 ± 10.0 | 58.8 ± 9.6 | 58.7 ± 11.8 | 0.46 |
Site |  |  |  |  |  | < 0.001 |
Buccal mucosa | 57 (46.0%) | 29 (67.4%) | 18 (35.3%) | 7 (63.4%) | 111 (48.5%) | Â |
Tongue | 33 (26.6%) | 9 (20.9%) | 12 (23.5%) | 1 (9.1%) | 55 (24.0%) | Â |
Gingiva | 9 (7.3%) | 2 (4.7%) | 0 (0.0%) | 0 (0.0%) | 11 (4.8%) | Â |
Floor of mouth | 0 (0.0%) | 0 (0.0%) | 0 (0.0%) | 2 (18.2%) | 2 (0.9%) | Â |
Palate | 14 (11.3%) | 0 (0.0%) | 0 (0.0%) | 0 (0.0%) | 14 (6.1%) | Â |
Missing | 11 (8.9%) | 3 (7.0%) | 21 (41.2%) | 1 (9.1%) | 36 (15.7%) | Â |