Prostate volume as an independent predictor of prostate cancer in men with PSA of 10-50 ng ml(-1).

Prostate volume (PV) has been shown to be associated with prostate cancer (PCa) detection rates in men with a prostate-specific antigen (PSA) in the 'grey zone' (2.0-10.0 ng ml(-1)). However, the PSA 'grey zone' in Asian men should be higher because the incidence of PCa in Asian men is relatively low. Therefore, we evaluated the association between PV and PCa detection rates in men with PSAs measuring 10-50 ng ml(-1). Men who underwent a 13-core prostatic biopsy with PV documentation participated in the study. A multivariate stepwise regression was used to evaluate whether the PV at time of prostate biopsy could predict the risk of PCa. The rates of PCa among men in different PSA ranges, stratified by PV medians (<60 and ≥60 ml), were calculated. There were 261 men included in the final analysis. PV was the strongest predictor of PCa risk (odds ratio, 0.02; P<0.001) compared to other variables. The PCa rates in men with PVs measuring <60 and ≥60 ml in the 10-19.9 ng ml(-1) PSA group were 40.6% and 15.1%, respectively, while the rates for men with PSAs measuring 20-50 ng ml(-1) were 65.1% and 26.8%. PV is an independent predictor of PCa in men with PSA measuring 10-50 ng ml(-1). In clinical practice, particularly for those countries with lower incidences of PCa, PV should be considered when counselling patients with PSAs measuring 10-50 ng ml(-1) regarding their PCa risks.

A nomogram based on age, prostate-specific antigen level, prostate volume and digital rectal examination for predicting risk of prostate cancer.

Nomograms for predicting the risk of prostate cancer developed using other populations may introduce sizable bias when applied to a Chinese cohort. In the present study, we sought to develop a nomogram for predicting the probability of a positive initial prostate biopsy in a Chinese population. A total of 535 Chinese men who underwent a prostatic biopsy for the detection of prostate cancer in the past decade with complete biopsy data were included. Stepwise logistic regression was used to determine the independent predictors of a positive initial biopsy. Age, prostate-specific antigen (PSA), prostate volume (PV), digital rectal examination (DRE) status, % free PSA and transrectal ultrasound (TRUS) findings were included in the analysis. A nomogram model was developed that was based on these independent predictors to calculate the probability of a positive initial prostate biopsy. A receiver-operating characteristic curve was used to assess the accuracy of using the nomogram and PSA levels alone for predicting positive prostate biopsy. The rate for positive initial prostate biopsy was 41.7% (223/535). The independent variables used to predict a positive initial prostate biopsy were age, PSA, PV and DRE status. The areas under the receiver-operating characteristic curve for a positive initial prostate biopsy for PSA alone and the nomogram were 79.7% and 84.8%, respectively. Our results indicate that the risk of a positive initial prostate biopsy can be predicted to a satisfactory level in a Chinese population using our nomogram. The nomogram can be used to identify and counsel patients who should consider a prostate biopsy, ultimately enhancing accuracy in diagnosing prostate cancer.

[The effect of prostatectomy on nocturia in patients with benign prostatic hyperplasia].

OBJECTIVE: To explore the effect of prostatectomy on nocturia in patients with benign prostatic hyperplasia (BPH). METHODS: The data of patients who had received prostatectomy for BPH between June 2006 and December 2007 were collected. Nocturia severity was assessed preoperatively and 3 to 6 months after prostatectomy by the number of nocturia events, the time from falling sleep to the first awakening to void (hours of undisturbed sleep, HUS), the score of the nocturia quality of life (N-QOL) questionnaire, the International Prostatic Symptom Score (IPSS) and the quality of life (QOL) score. RESULTS: One hundred and twenty five cases were included. Of them, 73 patients finished the follow-up completely. There were 62 patients whose number of nocturia events before the operation was equal or more than 2. The data from these 62 patients were analyzed. Of them, 56 patients underwent transurethral resection of prostate, the remaining 11 patients suprapubic prostatectomy. Significant improvement (P < 0.01) was noted in all the following parameters after treatment: the number of nocturia events decreased from 4.2 ± 2.4 to 2.2 ± 1.0, HUS increased from (1.8 ± 0.7) h to (3.0 ± 1.4) h, N-QOL score raised from 30 ± 10 to 40 ± 7, IPSS decreased from 23 ± 5 to 8 ± 5, and QOL score fell down from 4.4 ± 0.7 to 1.5 ± 1.0. CONCLUSION: The prostatectomy can markedly improve the symptoms of nocturia, sleep and life quality in the BPH patients who accompanied with nocturia.

Antibacterial therapy improves the effectiveness of prostate cancer detection using prostate-specific antigen in patients with asymptomatic prostatitis.

OBJECTIVES: To improve prostate cancer (PC) detection accuracy among patients with a prostate-specific antigen (PSA) above 4.0 ng/ml and asymptomatic prostate inflammation. MATERIALS AND METHODS: A total of 136 patients with PSA ranging from 4.0 to 50.0 ng/ml with asymptomatic prostatitis were included in the study cohort. All these patients underwent antibacterial therapy for 2 weeks followed by repeat PSA determination and transrectal ultrasound-guided needle prostate biopsy. The PSA, PSAD (PSA density), and f/t PSA (free/total PSA) before and after antibacterial therapy were compared using t-test. The receiver-operating characteristic (ROC) technique was used to evaluate the effectiveness of PSA, PSAD, f/t PSA, and their changes after antibacterial therapy (DeltaPSA, DeltaPSAD, and Deltaf/t PSA) on PC detection. RESULTS: Among the 136 patients, 33 had PC and the other 103 histologically confirmed benign prostatic disease. After antibacterial therapy for 2 weeks, the PSA (mean +/- standard deviation) decreased from 14.0 +/- 7.8 ng/ml to 10.4 +/- 7.7 ng/ml (P < 0.01). The DeltaPSA, DeltaPSAD, and Deltaf/tPSA were -3.60 +/- 4.3 ng/ml, -0.1 +/- 0.1 ng/ml/ml, and -0.1 +/- 0.1 respectively. The areas under ROC curve were 0.29 for PSA, 0.64 for PSAD, and 0.50 for f/t PSA. The areas under ROC curve were 0.91 for DeltaPSA, 0.96 for DeltaPSAD, and 0.98 for Deltaf/t PSA. These values were increased significantly when compared with those for the PSA-related parameters before antibacterial therapy (P value, DeltaPSA, DeltaPSAD, and Deltaf/t PSA were <0.01). CONCLUSIONS: Using the changes in PSA-related parameters after antibacterial therapy DeltaPSA, DeltaPSAD, and Deltaf/t PSA improve the PC detection rate and decrease unnecessary prostate biopsies in patients with asymptomatic prostatitis.