Mp58-07 clinically significant prostate cancer detection rate by pi-rads score and psa-density: a descriptive analysis

metric dip-stick assay, respectively. RESULTS: Evaluation of biopsies showed the presence of localized neoplastic cells in 40 subjects (called hereafter CP), whereas remaining 26 subjects were free from disease (healthy subjects, HS). CP were stratified based on D'Amico criteria: 8 with low risk, 25 intermediate risk, 7 high risk prostatic tumors. First, we identified the optimal cutoff for both urinary PSA and Zinc the maximize the discrimination between CP and HS in term of sensitivity and specificity. Secondly, we design a Urine Score (uScore) scale based on the positivity of urinary biomarkers: 2 (both markers positive), 1 (only one marker positive), 0 (both markers negative). ROC curve analysis showed an higher capability in discriminating CP from HS of uScore compared to serum PSA (AUC 0.737 vs 0.524, p[0.029). Multivariate ROC curve analysis combining uScore with routine parameters such as PSA and Age and PiRADS obtained by mpMRI resulted in an AUC[0.894, that is statistically different from PSAþAge or PiRADS alone (p[0.03 and p[0.01, respectively). See Figure 1. CONCLUSIONS: These results suggest that urinary PSA and Zinc analysis could be clinically useful in detecting neoplastic transformation in the prostate and spare useless invasive analysis to healthy subjects. Rapid tests for urinary biomarkers could be an interesting approach to improve the diagnostic path of prostate cancer.