BACKGROUND: Prostate specific antigen kinetics (PSAK) including prostate specific antigen velocity (PSAV) and PSA doubling time (PSADT) are used as predictors of prostate cancer (PCa) therapeutic outcome, disease prognosis, and cancer-specific mortality. However controversy persists regarding use of these parameters in cancer detection. Our aim is to evaluate PSAV as a predictor of PCa and intermediate/high grade PCa (HGPCa). METHODS: We included 682 patients that underwent repeat transrectal ultrasound guided biopsy after initial negative biopsy. Univariate and multivariate analyses as well as area under the receiver operating characteristic curve (ROC-AUC) were performed to assess predictive accuracy regarding detection of PCa and intermediate/HGPCa (Gleason score ≥ 7). RESULTS: PCa was detected in 179/682 (26.24%) patients. Our univariate analysis suggested that age, total prostate volume (TPV), atypical small acinar proliferation (ASAP) and PSA indices in the form of PSA at the time of repeat biopsy (PSA2), PSAV, PSA density (PSAD2) and percent free PSA at time of repeat biopsy (%FPSA2) were all predictors of overall PCa and intermediate/HGPCa. Meanwhile, our multivariate model showed that factors associated with overall PCa and intermediate/HGPCa were age, PSAV and TPV. CONCLUSIONS: In men pursuing a second biopsy after an initial negative biopsy, PSAV was an independent predictor of overall PCa, intermediate and high grade cancer.
BACKGROUND:Prostate specific antigen kinetics (PSAK) including prostate specific antigen velocity (PSAV) and PSA doubling time (PSADT) are used as predictors of prostate cancer (PCa) therapeutic outcome, disease prognosis, and cancer-specific mortality. However controversy persists regarding use of these parameters in cancer detection. Our aim is to evaluate PSAV as a predictor of PCa and intermediate/high grade PCa (HGPCa). METHODS: We included 682 patients that underwent repeat transrectal ultrasound guided biopsy after initial negative biopsy. Univariate and multivariate analyses as well as area under the receiver operating characteristic curve (ROC-AUC) were performed to assess predictive accuracy regarding detection of PCa and intermediate/HGPCa (Gleason score ≥ 7). RESULTS: PCa was detected in 179/682 (26.24%) patients. Our univariate analysis suggested that age, total prostate volume (TPV), atypical small acinar proliferation (ASAP) and PSA indices in the form of PSA at the time of repeat biopsy (PSA2), PSAV, PSA density (PSAD2) and percent free PSA at time of repeat biopsy (%FPSA2) were all predictors of overall PCa and intermediate/HGPCa. Meanwhile, our multivariate model showed that factors associated with overall PCa and intermediate/HGPCa were age, PSAV and TPV. CONCLUSIONS: In men pursuing a second biopsy after an initial negative biopsy, PSAV was an independent predictor of overall PCa, intermediate and high grade cancer.