Logistic regression analysis
SE, prostate
REGRESSION, PROSTATE, REGRESSION
Our univariate logistic regression analysis revealed that age (OR = 1.06, 95% CI 1.03–1.10), PSA (OR = 1.05, 95% CI 1.03–1.07), PV (OR = 0.98, 95% CI 0.97–0.99), and PSAD (OR = 34.27, 95% CI 9.87-119.02), and 3 scorings (OR = 2.87, 95% CI 2.13–3.87 for Scoring 1; OR = 3.51, 95% CI 2.49–4.95 for the Scoring 2; and OR = 1.76, 95% CI 1.49–2.08 for Scoring 3) were significant predictors for csPCa. Nevertheless, as PSA and PV were strongly correlated with PSAD, which were excluded from the results. Finally, age, PSAD, and scorings were included in the multivariable logistic regression analyses. Table 
Univariate and Multivariate Logistic Regression AnalysisCI, confidence interval; OR, odd ratio; PSAD, prostate-specific antigen density; PV, prostate volume; SE, standard error
ROC for the comparison 3 models. A, area under the ROC curve for 3 scorings; B, area under the ROC curve for 3 models. AUC, area under the ROC curve