Research Article
Region-Growing Algorithm on CT Angiography Images for Detection of Gynecological Malignant Tumor
| | Variable | |
| | Age (years) | 58 ± 5 | | BMI (kg/m2) | 24.5 ± 2.9 | | Staging laparoscopy | | | No | 80 (80%) | | Yes | 20 (20%) | | Final tumor stage (FIGO) | | | I | 6 (6%) | | II | 34 (34%) | | III | 30 (30%) | | IV | 30 (30%) | | ASA (American Society of Anesthesiologists) | | | 1 | 5 (5%) | | 2 | 58 (58%) | | 3 | 27 (27%) | | 4 | 1 (1%) | | Unknown | 9 (9%) | | Histological grading | | | G1 | 18 (18%) | | G2 | 19 (19%) | | G3 | 47 (47%) | | Unknown | 16 (16%) | | Histological type | | | Serous | 45 (45.0%) | | Mucinous | 10 (10%) | | Clear cell | 4 (4%) | | Endometrioid | 18 (18%) | | Carcinosarcoma | 6 (6%) | | Other | 17 (17%) | | Ascites | | | No | 42 (42%) | | Yes | 48 (48%) | | Unknown | 10 (10%) |
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