IntroductionThe aim of this study is to present the oncologic outcomes and to determine prognostic parameters of overall (OS), cancer specific survival (CSS), disease progression free survival (DPFS) and biochemical progression free survival (BPFS) after surgery for pT3a prostate cancer (PCa).Material and methodsBetween 2002 and 2007, a pT3a stage after radical prostatectomy was detected in 126 patients at our institution. Kaplan-Meier analysis was used to calculate OS, CSS, DPFS and BPFS. Cox regression was used to identify predictive factors of survival.ResultsFive-year OS, CSS, DPFS and BPFS rates were 96%, 98.7%, 97.3% and 60%, respectively. Among patients with prostate specific antigen (PSA) <10 ng/ml and PSA >20 ng/ml the 5-year OS was 98.8% and 80%, respectively, whereas 5-year BPFS was 66% and 16.6%, respectively. Survival was different when comparing surgery Gleason score ≤7 and ≥8. 5-year OS and BPFS were 98% vs. 80%, and 62.6% vs. 27.3%, respectively. Specimen Gleason score and preoperative PSA were significant predictors of BPFS. The risk of biochemical progression increased up to 2-fold when a Gleason score ≥8 was present at final pathology.ConclusionsIn locally advanced pT3 PCa, surgery can yield very good cancer control and survival rates especially in cases with PSA <10 ng/ml and Gleason score ≤7. PSA and Gleason score after surgery are the most significant predictors of outcomes after radical prostatectomy.

ObjectivesProstate cancer Gleason score 6 is the most common score detected on prostatic biopsy. We analyzed the clinical parameters that predict the likelihood of Gleason score upgrading after radical prostatectomy.MethodsThe study population consisted of 241 patients who underwent radical retropubic prostatectomy between Feb 2002 and Dec 2007 for Gleason score 6 adenocarcinoma. The influence of preoperative parameters on the probability of a Gleason score upgrading after surgery was evaluated using multivariate logistic regression and ROC curves.ResultsGleason score upgrade was found in 92 of 241 patients (38.2%). Multivariate logistic regression analysis showed that only percentage of cancer in dominant lobe and prostate weight were significant predictors for Gleason score upgrading (p = 0.043 and p = 0.006, respectively). ROC curves showed that prostate weight and PSA density were only two independent significant parameters for prediction of upgrade (AUC – 0.634, p <0.0001 and 0.604, p = 0.006, respectively). Gleason score upgrading was observed to be accompanied by significantly higher rates of extra prostatic extension (p <0.001) and seminal vesicle invasion (p = 0.002).ConclusionsAlmost forty percent of tumors graded Gleason 6 at biopsy are Gleason 7 at surgery. Upgraded tumors significantly associated with adverse pathological features. The probability of Gleason score upgrade can be predicted using prostate weight and PSA density as independent parameters.

ObjectivesTo predict bladder outlet obstruction with parameters of non-invasive investigations for patients with symptomatic benign prostatic hyperplasia.Patients and methodsA sample of 122 men with moderate to severe lower urinary tract symptoms suggestive of benign prostatic hyperplasia was selected. Transrectal prostate ultrasound, free flow measurement, and transabdominal ultrasound for residual urine were carried out together with digital rectal examination for all patients. All patients underwent urodynamic pressure/flow test. Two groups of obstructed (91 patient) and equivocal/unobstructed (31 patient) were analyzed. Probabilistic model based on logistic regression was developed for prediction of obstruction.ResultsVarious parameters were compared in obstructed and non-obstructed/equivocal groups, highlighting important parameters for obstruction. Correlation analysis indicates higher obstruction dependence on average and peak flow rates and lower dependence on total prostate and transition zone volumes, transition zone index. Binary logistic regression model suggests that average flow rate combined with total prostate volume is the best predictor of obstruction (83% of correct predictions; PPV = 92%; NPV = 52%) in the analyzed sample. The analyzed model suggests that peak flow rate could also be almost equally important parameter instead of average flow rate.ConclusionsThe study suggests that average/peak flow rate combined with total prostate volume can be used for prediction of obstruction. The developed probabilistic model helps to determine patients who need invasive urodynamic testing for decision on surgical treatment.

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