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. 2022 Jan 23;37:38–44. doi: 10.1016/j.euros.2021.12.009

Table 3.

Performance of Proclarix, PSAD, and the ERSPC MRI predictive model for csPCa detection in men in the PI-RADS 3 category using the most sensitive thresholds

Parameter csPCs detection, n/N (%)
Proclarix (cutoff = 10%) PSAD (cutoff = 0.07 ng/ml/cm3) ERSPC MRI RC (cutoff = 1.5%)
Sensitivity 25/25 (100) 21/25 (84.0) 24/25 (96.0)
Specificity 36/144 (25.0) 41/144 (28.5) 11/144 (7.6)
Negative predictive value 36/36 (100) 41/45 (91.1) 11/12 (91.7)
Positive predictive value 25/133 (19.8) 21/124 (16.0) 24/157 (15.3)
Accuracy 61/169 (36.1) 62/169 (36.7) 35/169 (20.7)
Prostate biopsies avoided 36/169 (21.3) 45/169 (26.2) 12/169 (7.1)
Decrease in iPCa overdetection 9/169 (5.3) 9/169 (5.3) 2/169 (1.2)
Misdiagnosis of csPCa 0/25 (0) 4/25 (16.0) 1/25 (4.0)

PI-RADS = Prostate Imaging-Reporting and Data System; PCa = prostate cancer; iPCa = insignificant PCa; csPCa = clinically significant PCa; PSAD =prostate-specific antigen density; ERSPC = European Randomized Study of Screening for Prostate Cancer; MRI = magnetic resonance imaging; RC = risk calculator.