Advances in Urology / 2019 / Article / Tab 1 / Research Article
Initial Evaluation of Computer-Assisted Radiologic Assessment for Renal Mass Edge Detection as an Indication of Tumor Roughness to Predict Renal Cancer Subtypes Table 1 Demographics by tumor subtype.
Renal cancer subtype Benign cyst Oncocytoma Chromophobe Clear cell Papillary valueNumber of patients (N ) 1 2 2 15 7 Age 60 45 (42–45) 54 (51–54) 56 (42–66) 57 (51–63) 0.9 Body mass index 24.9 26.3 (24.1–26.3) 31.8 (31.3–31.8) 30.1 (27.3–31.6) 32.01 (29.9–40.7) 0.05 Race/ethnicity (white %) 1/1 (100%) 1/2 (50%) 0/2 (0%) 9/15 (60%) 5/7 (71%) 0.4 Biologic gender (male %) 0/1 (0%) 1/2 (50%) 2/2(100%) 15/15 (100%) 7/7 (100%) 0.001 Tumor size (cm) 1.8 5.3 (4.0–5.3) 4.45 (4.4–4.45) 2.3 (1.5–3.8) 2.5 (2.0–2.7) 0.01 Tumor stage (stage 3) 0/1 (0%) 0/2 (0%) 0/2 (0%) 1/15 (7%) 0/7 (0%) 0.3 Tumor surface roughness 1.18 1.16 (1.12–1.16) 1.27 (1.21–1.27) 1.52 (1.38–1.55) 1.56 (1.43–1.66) 0.004