Objective: To evaluate the prostate health index (PHI) as a tool for the diagnosis of PCa with a PSA level of 4－10 μg/L and determine the best cut-off value of PHI. METHODS: Fifty-eight patients with a PSA level of 4－10 μg/L underwent transrectal ultrasound-guided prostatic biopsy in our hospital between April 2017 and June 2019. We constructed receiver operating characteristic (ROC) curves for the relationship of the biopsy results with the level of PSA, the ratio of ［－2］ proPSA to fPSA and PHI, and calculated the area under the ROC curves (AUC). RESULTS: Prostatic biopsy revealed 18 cases of PCa in the 58 patients (31.0%). Statistically significant differences were observed between the PCa and non-PCa groups in ［－2］ proPSA, %［－2］ proPSA and PHI, but not in tPSA, % fPSA and PSA-density. The AUCs of PSA, % fPSA, PSA-density, ［－2］ proPSA, %［－2］ proPSA and PHI were 0.556, 0.407, 0.533, 0.746, 0.751 and 0.774, respectively. The specificity of PHI was 27.50% (95% CI: 14.6%－43.9%), the highest among the above predictors at 90% sensitivity. By applying PHI to this cohort, 13 cases (22.4%) of unnecessary biopsy could be avoided. CONCLUSIONS The application of PHI can increase the accuracy of PCa prediction and reduce unnecessary prostatic biopsy.、.
Asians ; Humans ; Macau ; Male ; Prostate ; Prostate-Specific Antigen ; Prostatic Neoplasms/diagnosis*