From: Automated evaluation of masseter muscle volume: deep learning prognostic approach in oral cancer
Characteristics | n = 348 | |
---|---|---|
N | Ratio (%) | |
Sex (male/female) | 177/171 | 50.9/49.1 |
Age (years) | Â | Â |
Mean ± SD | 41.0 ± 20.2 | |
Median (range) | 33 (20–89) | |
Case | Â | Â |
Jaw deformity | 181 | 52 |
Malignant tumor | 79 | 22.7 |
Cyst | 35 | 10.1 |
Cleft lip and palate | 16 | 4.6 |
Benign tumor | 15 | 4.3 |
Fracture | 11 | 3.1 |
Leucoplakia | 3 | 0.9 |
Sialolith | 3 | 0.9 |
Othersa | 5 | 1.4 |
CRP (mg/dL) | 0.24 ± 0.47 | |
Alb (g/dL) | 4.50 ± 0.36 | |
A/G | 1.63 ± 0.28 | |
T-cho (mg/dL) | 190.87 ± 32.14 | |
BMI (kg/m2) | 21.79 ± 3.60 | |
CAR | 0.06 ± 0.12 | |
NLR | 2.29 ± 1.28 | |
PLR | 155.13 ± 69.47 | |
PNI | 53.92 ± 4.87 | |
mGPS (0/1/2) | 331/14/3 | 95.1/4/0.9 |
CONUT (0/1/2/3/4/6) | 95/145/77/24/6/1 | 27.3/41.7/22.1/6.9/1.7/0.3 |
SMI (kg/m2) | Â | Â |
Male | 7.62 ± 0.85 | |
Female | 5.88 ± 0.72 | |
MMV (cm3) | Â | Â |
Male | 50.46 ± 12.43 | |
Female | 32.16 ± 8.61 |