Objective To evaluate the diagnostic value of the prostate health index(PHI)and its derivatives in prostate cancer with the Prostate Imaging-Reporting and Data System(PI-RADS)category 3 lesions.Methods Clinical data of 204 patients with abnormal findings in the prostate-specific antigen(PSA)detection and examined by ultrasound-guided prostate biopsy in Shijiazhuang People's Hospital from 2019 to 2022 were retrospectively analyzed.A total of 155 patients with benign prostatic hyperplasia were included in the benign prostatic hyperplasia group,and 49 patients with prostate cancer were included in the prostate cancer group.Clinical data of 2 groups of patients were collected,and receiver operating characteristic(ROC)curves were used to evaluate the diagnostic potentials of the total prostate-specific antigen(TPSA),free/total prostate-specific antigen ratio(%fPSA),PHI,prostate health index density(PHID)and total prostate-specific antigen density(PSAD)in prostate cancer.Results Among 49 patients with prostate cancer,81.63%were diagnosed with clinically significant prostate cancer(csPca).There were no significant differences in the age,prostate volume(PV),TPSA and PSAD between groups(P>0.05).Significant differences in the pro-2 peptide prostate-specific antigen(p2PSA),PHI and PHID were detected(P<0.05).Compared with that of TPSA,PHI(area under the curve[AUC]=0.786,95%CI 0.705,0.867)and PHID(AUC=0.763,95%CI0.684,0.843)were better predictors of prostate cancer.The AUC of TPSA,%fPSA,p2PSA,PHI,PHID and PSAD regions in the csPCa group was 0.587,0.650,0.696,0.823,0.796 and 0.614,respectively.Among all parameters,PHI and PHID were the most accurate predictive factors for prostate cancer.Conclusion In the case of PI-RADS-3 lesions,the prostate health index and its derivative indicators provide the best diagnostic value for the detection of prostate cancer than those of conventional indicators.
prostate cancerprostate health indexpre-2 peptide prostate specific antigenmultiparametric magnetic resonance imagingretrospective studies
万方数据
维普
