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Objectives: The Rotterdam Prostate Cancer Risk calculator (RPCRC) has been validated in the past years. Recently a new version including multiparametric magnetic resonance imaging (mpMRI) data has been released. The aim of our study was to analyze the performance of the mpMRI RPCRC app., Methods: A series of men undergoing prostate biopsies were enrolled in eleven Italian centers. Indications for prostate biopsy included: abnormal Prostate specific antigen levels (PSA>4 ng/ml), abnormal DRE and abnormal mpMRI. Patients' characteristics were recorded. Prostate cancer (PCa) risk and high-grade PCa risk were assessed using the RPCRC app. The performance of the mpMRI RPCRC in the prediction of cancer and high-grade PCa was evaluated using receiver operator characteristics, calibration plots and decision curve analysis., Results: Overall, 580 patients were enrolled: 404/580 (70%) presented PCa and out of them 224/404 (55%) presented high-grade PCa. In the prediction of cancer, the RC presented good discrimination (AUC = 0.74), poor calibration (p = 0.01) and a clinical net benefit in the range of probabilities between 50 and 90% for the prediction of PCa (Fig. 1). In the prediction of high-grade PCa, the RC presented good discrimination (AUC = 0.79), good calibration (p = 0.48) and a clinical net benefit in the range of probabilities between 20 and 80% (Fig. 1)., Conclusions: The Rotterdam prostate cancer risk App accurately predicts the risk of PCa and particularly high-grade cancer. The clinical net benefit is wide for high-grade cancer and therefore its implementation in clinical practice should be encouraged. Further studies should assess its definitive role in clinical practice., Competing Interests: Declaration of competing interest No conflict of interest declared. This research did not receive any specific grant from funding agencies in the public, commercial, or not-for profit sectors. This research involves Human Participants, it does not involve animals and every patient enrolled have signed an informed consent., (Copyright © 2021 Elsevier Ltd, BASO ~ The Association for Cancer Surgery, and the European Society of Surgical Oncology. All rights reserved.)

Introduction: To evaluate the applicability of a modified Clavien classification system (CCS) in grading postoperative complications of transurethral resection of bladder tumours (TURB)., Materials and Methods: A series of patients undergoing monopolar TURB from April 2011 to March 2012 at five Italian centers were enrolled. All complications occurring within the first 30-day postoperative period were prospectively recorded and graded according to the CCS., Results: Overall, 275 patients were included. Median age was 71 (63/78) years; median BMI was 28 (25.4/30.8) Kg/m(2), median tumour size was 2 (1-3) cm; median number of tumour lesions was 1 (1-3). Median operative time was 30 (20/45) min. Fifty-seven complications were recorded in 43 patients. Overall postoperative morbidity rate was 16%. Most of the complications were not serious and classified as Clavien type I (42 cases; 74%) or II (8 cases, 14%). Higher grade complications were scarce: CCS IIIa in 1 case (2%) and CCS IIIb in six cases (10%). No TURB related death was reported. Six patients were re-operated due to significant bleeding or clot retention on postoperative days 2-7. On univariate (73.5 ± 38 versus 36.7 ± 21.6 min) and multivariate analysis longer operative time was an independent predictor of complications (OR: 1.06 per min, 95%CI 1.04-1.08, p = 0.001)., Conclusions: A modified CCS can be used as a standardized tool to objectively define the complications of TURB which confirms to be a safe procedure with a low surgical morbidity. This tool can be used to aid in patient counselling and to facilitate scientific assessment., (Copyright © 2013 Elsevier Ltd. All rights reserved.)

Introduction: Standardized methods of reporting complications after radical cystectomy (RC) and urinary diversions (UD) are necessary to evaluate the morbidity associated with this operation to evaluate the modified Clavien classification system (CCS) in grading perioperative complications of RC and UD in a real life cohort of patients with bladder cancer., Materials and Methods: A consecutive series of patients treated with RC and UD from April 2011 to March 2012 at 19 centers in Italy was evaluated. Complications were recorded according to the modified CCS. Results were presented as complication rates per grade. Univariate and binary logistic regression analysis were used for statistical analysis., Results and Limitations: 467 patients were enrolled. Median age was 70 years (range 35-89). UD consisted in orthotopic neobladder in 112 patients, ileal conduit in 217 patients and cutaneous ureterostomy in 138 patients. 415 complications were observed in 302 patients and were classified as Clavien type I (109 patients) or II (220 patients); Clavien type IIIa (45 patients), IIIb (22 patients); IV (11 patients) and V (8 patients). Patients with cutaneous ureterostomy presented a lower rate (8%) of CCS type ≥IIIa (p = 0.03). A longer operative time was an independent risk factor of CCS ≥III (OR: 1.005; CI: 1.002-1.007 per minute; p = 0.0001)., Conclusions: In our study, RC is associated with a significant morbidity (65%) and a reduced mortality (1.7%) when compared to previous experiences. The modified CCS represents an easily applicable tool to classify the complications of RC and UD in a more objective and detailed way., (Copyright © 2013 Elsevier Ltd. All rights reserved.)