7% for prostate and 61.7% for kidney). Fused deposition models were deemed as the best printing technology in representing kidney anatomy and renal tumor location (40%), while silicon (46.7%) and Polyjet (36.7%) models for prostate anatomy and cancer location. Finally, attendees demonstrated poor knowledge of 3D printing costs and production times. Our study shows the perceptions of a heterogeneous surrogate of practising urologists about the role and potential applications of 3D imaging technologies in daily surgical practice.Our study shows the perceptions of a heterogeneous surrogate of practising urologists about the role and potential applications of 3D imaging technologies in daily surgical practice.A possible association between long-term Proton Pump Inhibitors (PPI) use and Chronic Kidney Disease (CKD) has been recently described. Due to the potential health risk of this association, in the absence of proper clinical trials, we have decided to carry out a systematic review followed by meta-analysis. PubMed, Cochrane Library, and Lilacs databases were searched. Studies that reported an association between PPI use and CKD or End-stage Renal Disease (ESRD) published until December 23, 2019, were included. All selected studies present high quality according to the New-Castle-Ottawa. The risk ratio (RR) and confidence interval (CI) were pooled using a random-effects model in CKD outcome analysis and fixed effects model for ESRD. A total of 10 observational studies were selected. Compared to patients who did not use PPI, the RR for CKD associated with PPI use was 1.35 (95% CI 1.15 - 1.56) with p less then 0,001, and the RR for ESRD associated with PPI use was 1.49 (95% CI 1.41 - 1.56) with p less then 0,001. This study indicates the presence of a significant association between PPI use and an increased risk of CKD and ESRD and reiterates the need for the medical prescription of this class of drugs to be made following the guidelines of the FDA. Aim of our study was to evaluate learning curve of the Millin simple prostatectomy analysing three expert laparoscopic surgeons. Learning curve of 3 expert laparoscopic surgeons with excellent radical prostatectomy training was evaluated. Surgeon 1 had more than 20 years of experience, while other surgeons had 10 years of experience. The first 45 procedures of the surgeons were considered for analysis. The cumulative sum (CUSUM) technique, one of the methods developed to monitor the performance and quality of the industrial sector, was adopted to analyse learning curves. The variables included to evaluate learning curve of the surgeons were operative time (OT), hospitalisation (HO) and complication rate. Overall 135 patients were included in the analysis. Median age was 68 (64/74), median prostate volume was 83 (75/97), median Qmax 9 ml/s (6/11) and median IPSS 20 (18/22). Complications included 9/135 (7%) transfusion, 4/135 (3%) Urinary retention, 3/135 (2%) fever, 1/35 (<1%) reintervention and 1/135 (<1%) conversion. Surgeon 1 presented a lower median operative time when compared to surgeon 2 and 3. No significant differences were recorded in terms of hospitalisation, blood loss and transfusion rate as well as postoperative outcomes. According to the CUSUM analysis the number of procedures needed to achieve a plateau in surgical time is 10/15 procedures (fig 1). In conclusion, according to our results 15 procedures are needed to reach a plateau in surgical time for trained laparoscopic surgeons.In ALK inhibitor , according to our results 15 procedures are needed to reach a plateau in surgical time for trained laparoscopic surgeons.Molecular heterogeneity and availability of different therapeutic strategies are relevant clinical features of prostate cancer. On this basis, there is an urgent need to identify prognostic and predictive biomarkers for an individualized therapeutic approach. In this context, researchers focused their attention on biomarkers able to discriminate potential life-threatening from organ-confined disease identify high-grade tumors. Such biomarker could provide aid in clinical decision making, helping in order to choose the treatment which ensures the best results in terms of patient survival and quality of life. To address this need, many new laboratory tests have been proposed, witha clear tendency to use panels of combined biomarkers. In this review we evaluate current data on the application in clinical practice for of the most promising laboratory tests Phi, 4Kscore and Stockholm 3 as circulating biomarkers, and Mi-prostate score, Exo DX Prostate and Select MD-X as urinary biomarkers, Confirm MDx, Oncotype Dx, Prolaris and Decipher as tissue biomarkers. In particular, the ability of these tests in the identification of clinically significant PCa and their potential use for precision medicine have been explored in this review. The objective of this study was to evaluate the usefulness of pre-operative visceral (VAT) and subcutaneous adipose tissue (SAT) evaluation in the prediction of Acute Kidney Injury (AKI) and decrease of eGFR at 12 months after radical nephrectomy (RN). We relied on 112 patients who underwent RN between January 2010 and March 2017 at a single institution. Images from the pre-operatory CT scan were analyzed and both SAT and VAT assessments were carried out on a cross-sectional plane. eGFR was measured before surgery, at 7 days, and 12 months after surgery. ROC analysis was used to compare the diagnostic value of BMI, VAT ratio, and abdominal circumference in predicting AKI. Logistic regression models were fitted to predict the new onset of AKI, and the progression from chronic kidney disease (CKD) stage 1-3a to CKD stage 3b or from 3b to 4 at 12 months follow-up. Two logistic regression models were also performed to assess the predictors for AKI and CKD stage progression. The predictive accuracy was quantified using the receiver operating characteristic-derived area under the curve. Sixty-six patients (58.9%) had AKI after RN. #link# Thirty-five (31.3%) patients were upgraded to CKD IIIb or from CKD stage IIIb to CKD IV. In the ROC analysis, VAT% performed better than the BMI and abdominal circumference (AUC = 0.66 vs 0.49 and 0.54, respectively). At multivariable analyses, VAT reached an independent predictor status for AKI (OR 1.03) and for CKD stage at 12 months Follow-up (OR 1.05). Inclusion of VAT% into the multivariable models was associated with the highest accuracy both for AKI (AUC = 0.700 vs 0.570) and CKD stage progression (AUC = 0.848 vs 0.800). In patients undergoing RN, preoperative visceral adipose tissue ratio significantly predicts AKI incidence and is significantly predictive of 12 months CKD stage worsening.In patients undergoing RN, preoperative visceral adipose tissue ratio significantly predicts AKI incidence and is significantly predictive of 12 months CKD stage worsening.