Table 7.

Statistical analysis for each feature.

Feature	AUC	95% CI AUC	Accuracy cutoff point	Sensitivity	Specificity	AUC p-value
AGE	0.5597	0.4641-0.6553	75	0.825	0.267	0.110
BMI	0.51092	0.4141-0.6078	34.2	0.988	0.0333	0.413
PSA	0.49015	0.3931-0.5871	42.74	0.988	0.067	0.579
PSA density	0.62337	0.5311-0.7156	0.25	0.812	0.533	0.00437
R	0.52737	0.4308-0.6239	2.1185	0.925	0.167	0.289
Xc	0.50038	0.4034-0.5973	1.1439	0.975	0.0833	0.497
PA	0.55362	0.4578-0.6494	0.5291	0.925	0.200	0.136

The area under the curve (AUC) was calculated from the ROC curve as well as the related 95% confidence interval (95% CI AUC). According to the 95% CI AUC, the AUC was statistically greater than 0.5, i.e., the chance performance value (AUC p-value).

Bold values indicate significant p-values lower than 0.05.