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. 2024 Jan 2;42(2):441–448. doi: 10.5534/wjmh.230028

Table 2. Logistic regression of predictive variable of csPCa in the model including the PV assessed with MRI and the model including the PVC assessed with DRE.

Predictive variable Model with MRI-PV Model with DRE-PVC
Odds ratio (95% CI) p-value Odds ratio (95% CI) p-value
Age (ref. previous year) 1.06 (1.04–1.08) <0.001 1.05 (1.04–1.07) <0.001
Serum PSA (ref. previous ng/mL) 1.03 (1.02–1.07) 0.032 1.01 (1.00–1.01) 0.027
DRE (ref. normal) 1.62 (1.24–2.11) <0.001 1.68 (1.29–2.18) <0.001
MRI-PV (ref. previous mL) 0.98 (0.81–0.98) <0.001 - -
DRE-PVC (ref. small) - - 0.56 (0.47–0.66) <0.001
Type of biopsy (ref. initial) 0.71 (0.55–0.92) 0.009 1.63 (0.49–0.81) <0.001
PCa family history (ref, no.) 1.07 (1.01–1.18) 0.029 1.79 (1.05–1.12) 0.036
PI-RADS score (ref. 1) 3.16 (2.69–3.71) <0.001 3.24 (2.77–3.79) <0.001

csPCa: clinically significant PCa, MRI: magnetic resonance imaging, DRE: digital rectal examination, CI: confidence interval, Ref: reference, PSA: prostate-specific antigen, PVC: prostate volume category, PCa: prostate cancer, PI-RADS: prostate imaging-report and data system.