Journals
Publish with us
Publishing partnerships
About us
Blog
Advances in Urology
Journal overview
For authors
For reviewers
For editors
Table of Contents
Special Issues
Advances in Urology
/
2019
/
Article
/
Tab 2
/
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 2
Multivariable linear regression model or the outcome of kidney cancer subtype.
Demographic
Coefficient (95% CI)
t
score
value
Constant
2.59 (−5.8–0.58)
−1.709
0.1
Age
0.004 (0.17–0.025)
0.9
0.69
Body mass index
0.049 (0.008–0.107)
2.7
0.09
White (yes vs. no)
0.114 (0.364–0.592)
0.5
0.62
Tumor size
1.71 (−0.351–0.009)
−1.2
0.06
Roughness score
2.601 (0.977–4.225)
4.2
0.003