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	value
Number 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