Introduction Many men with non-clinically significant PCa (N-CSPCa) will
not progress to become symptomatic within their lifetime. If we can
predict clinically significant PCa (CSPCa), we can prevent patients from
unnecessary biopsies, overdiagnoses, and overtreatment. The purpose of
this study was to determine whether PSAD and f/t PSA can predict CSPCa
(Gleason ≥ 7) in patients diagnosed with prostate cancer on biopsy with
a PSA level of 2.5-10 ng/ml or not. Materials and Methods 78 patients
who underwent TRUSG-guided prostate biopsy with PSA 2.5-10.0 in our
clinic between March 2017 - August 2020 and whose pathology result was
reported as prostate adenocarcinoma, were retrospectively evaluated. In
addition to the demographic content of the patients, PSA, free PSA,
prostate size (with TRUSG), rectal examination findings and prostate
biopsy pathology results were recorded. Clinically significant prostate
cancer was defined as a Gleason score 7. Results The mean age of the
patients was 66.9 ± 8.4, PSA value was 6.9 ± 1.8, free / total PSA ratio
was 18 ± 8.1%, and PSA density was 0.150 ± 0.078. The P values of PSA,
free PSA, PSAD, f/t PSA, and prostate volume between CSPCa and N- CSPCa
groups were 0.010, 0.780, 0.001, 0.084, and 0.030, respectively. The
area under the ROC curve (AUC) of the PSAD for predicting CSPCa was
0.719 with a 95% Cl (0.604–0.835), and the standard errors were 0.062
and 0.059, respectively. When PSAD cutoff was 0.130 for predicting
CSPCa, sensitivity and specificity were 75% and 63%, respectively.
Conclusion PSAD can be used for predicting CSPCa, but f/t PSA can not.
PSAD is not a strong stand-alone tool with its sensitivity and
specificity, but we suggest that PSAD can be a part of future nomograms
for predicting CSPCa and future protocols for active surveillance. Key
words:prostate-specific antigen; clinically significant prostate cancer