Table 3 Diagnostic performance of the LR model with other parameters for predicting high grade prostate cancer
Predictor | Area under the Curve (95% CI) | Threshold | Sensitivity (%) | Specificity (%) | PPV | NPV | p value |
|---|---|---|---|---|---|---|---|
LR model | 0.85 (0.79–0.90) | >0.36 | 87.3 | 78.4 | 76.3 | 90.4 | (−) |
Age (year) | 0.63 (0.50–0.67) | >71.2 | 72.7 | 59.4 | 58.4 | 73.4 | <0.001 |
tPSA (ng/ml) | 0.54 (0.48–0.67) | >7.4 | 61.2 | 52.9 | 51.3 | 63.5 | <0.001 |
fPSA (ng/ml) | 0.52 (0.51–0.69) | >2.1 | 61.7 | 60.4 | 59.4 | 63.4 | <0.001 |
PSA f/t | 0.66 (0.61–0.74) | >0.18 | 61.1 | 69.9 | 59.2 | 72.9 | <0.001 |
MRI-based PV (cm3) | 0.64 (0.54–0.72) | <39.4 | 70.1 | 60.9 | 58.8 | 72.2 | <0.001 |
Adjusted PSAD (ng/ml/cm3) | 0.74 (0.66–0.79) | >0.16 | 77.2 | 60.3 | 59.3 | 78.6 | 0.013 |
DRE results | 0.61 (0.57–0.72) | NA | 65.3 | 59.4 | 61.5 | 67.3 | <0.001 |
TRUS results | 0.54 (0.51–0.64) | NA | 64.1 | 53.9 | 51.2 | 67.9 | <0.001 |
PI-RADS v2 scores | 0.76 (0.71–0.84) | >3 | 78.5 | 74.2 | 72.8 | 79.2 | 0.018 |