Skip to main content
. Author manuscript; available in PMC: 2018 Mar 1.
Published in final edited form as: AJR Am J Roentgenol. 2017 Jan 17;208(3):W85–W91. doi: 10.2214/AJR.16.16652

TABLE 2.

Results of Univariate and Multivariable Logistic Regression Analyses to Identify Parameters Helpful in Identifying Clear Cell Renal Cell Carcinoma

Parameter Univariate Analysis Multivariable Analysis

Odds Ratio p Odds Ratio p

Reader 1
 ADC 1.30 (1.15–1.47) <0.001 1.34 (1.13–1.60) <0.001
 Peak enhancementa 1.77 (1.09–2.87) 0.021 3.18 (1.86–5.44) <0.001
 Upslopea 0.99 (0.63–1.56) 0.964
 Downslope 3.45 (1.37–8.66) 0.009 1.39 (1.18–1.62) <0.001
 AUCa 1.08 (0.72–1.62) 0.726
 Chemical-shift index 0.97 (0.92–1.03) 0.362
 Chemical-shift volume drop 1.02 (1.00–1.05) 0.087
Reader 2
 ADC 1.29 (1.14–1.45) <0.001 1.42 (1.17–1.73) <0.001
 Peak enhancementa 1.63 (1.04–2.54) 0.032 2.99 (1.80–4.98) <0.001
 Upslopea 0.95 (0.61–1.49) 0.834
 Downslope 2.27 (1.05–4.92) 0.038 1.39 (1.14–1.70) 0.001
 AUCa 1.04 (0.70–1.54) 0.854
 Chemical-shift index 0.98 (0.94–1.02) 0.295
 Chemical-shift volume drop 1.02 (1.00–1.05) 0.084
Pathologic tumor size 1.04 (0.94–1.16) 0.441

Note—Values in parentheses are 95% CI. The odds ratio expresses the odds of patients having clear cell renal cell carcinoma relative to patients with the parameter value 1 unit lower. For apparent diffusion coefficient (ADC), the odds ratio was estimated for every increment of 0.0001, and for downslope for every increment of 10.

a

Parameter transformed into logarithmic form.