Standardization of definitions in focal therapy of prostate cancer: report from a Delphi consensus project

Purpose: To reach standardized terminology in focal therapy (FT) for prostate cancer (PCa). Methods: A four-stage modified Delphi consensus project was undertaken among a panel of international experts in the field of FT for PCa. Data on terminology in FT was collected from the panel by three rounds of online questionnaires. During a face-to-face meeting on June 21, 2015, attended by 38 experts, all data from the online rounds were reviewed and recommendations for definitions were formulated. Results: Consensus was attained on 23 of 27 topics; Targeted FT was defined as a lesion-based treatment strategy, treating all identified significant cancer foci; FT was generically defined as an anatomy-based (zonal) treatment strategy. Treatment failure due to the ablative energy inadequately destroying treated tissue is defined as ablation failure. In targeting failure the energy is not adequately applied to the tumor spatially and selection failure occurs when a patient was wrongfully selected for FT. No definition of biochemical recurrence can be recommended based on the current data. Important definitions for outcome measures are potency (minimum IIEF-5 score of 21), incontinence (new need for pads or leakage) and deterioration in urinary function (increase in IPSS >5 points). No agreement on the best quality of life tool was established, but UCLA-EPIC and EORTC-QLQ-30 were most commonly supported by the experts. A complete overview of statements is presented in the text. Conclusion: Focal therapy is an emerging field of PCa therapeutics. Standardization of definitions helps to create comparable research results and facilitate clear communication in clinical practice

The Impact of Technique Standardization on Total Operating and Fluoroscopy Times in Simple Endourological Procedures: A Prospective Study

Purpose: To present the positive impact of technique standardization on successful outcome, fluoroscopy, and total operating time (TOT) shortening in a prospective study. Methods: Six experienced endourologists participated. To assess whether the adaptation of standardized surgical steps improved their methodology with time, 253 patients were prospectively divided in three consecutive 1-month groups. Patients underwent stent placement and exchange and total operating and fluoroscopy times (FTs) were recorded. All surgeons were unaware of their mean recorded results until the end of the study. At the end of the third month, we evaluated if the suggested technique standardization established a decrease for both FT and TOT. Statistical significance was set to p < 0.05. Results: Total operating and FTs were significantly reduced with time between all groups of patients. For stent placement, TOT showed significant reduction between Groups A and C (p < 0.001), while between other group comparisons did not reach significance. FT showed a significant reduction (p < 0.001) in all group comparisons. For stent exchange, TOT reached significant improvement (p = 0.003) between Groups A and C, whereas between other groups was insignificant. FT improvement was significant between Groups A and C (p < 0.001) and Groups B and C (p < 0.001), but insignificant between Groups A and B. Conclusions: Even in experienced hands, the adaptation of technique standardization results in significant decrease of total operating and FTs and it is independent from feedback regarding their time performance. © Copyright 2018, Mary Ann Liebert, Inc. 2018

The use and applicability of machine learning algorithms in predicting the surgical outcome for patients with benign prostatic enlargement. Which model to use?

Objectives: Artificial intelligence (AI) is increasingly used in medicine, but data on benign prostatic enlargement (BPE) management are lacking. This study aims to test the performance of several machine learning algorithms, in predicting clinical outcomes during BPE surgical management. Methods: Clinical data were extracted from a prospectively collected database for 153 men with BPE, treated with transurethral resection (monopolar or bipolar) or vaporization of the prostate. Due to small sample size, we applied a method for increasing our dataset, Synthetic Minority Oversampling Technique (SMOTE). The new dataset created with SMOTE has been expanded by 453 synthetic instances, in addition to the original 153. The WEKA Data Mining Software was used for constructing predictive models, while several appropriate statistical measures, like Correlation coefficient (R), Mean Absolute Error (MAE), Root Mean-Squared Error (RMSE), were calculated with several supervised regression algorithms - techniques (Linear Regression, Multilayer Perceptron, SMOreg, k-Nearest Neighbors, Bagging, M5Rules, M5P - Pruned Model Tree, and Random forest). Results: The baseline characteristics of patients were extracted, with age, prostate volume, method of operation, baseline Qmax and baseline IPSS being used as independent variables. Using the Random Forest algorithm resulted in values of R, MAE, RMSE that indicate the ability of these models to better predict % Qmax increase. The Random Forest model also demonstrated the best results in R, MAE, RMSE for predicting % IPSS reduction. Conclusions: Machine Learning techniques can be used for making predictions regarding clinical outcomes of surgical BPRE management. Wider-scale validation studies are necessary to strengthen our results in choosing the best model. © 2021 Edizioni Scripta Manent s.n.c.. All rights reserved

Use of Nonsteroidal Anti-inflammatory Drugs After Radical Retropubic Prostatectomy: A Prospective, Randomized Trial

Objectives: To assess the efficacy and safety of nonsteroidal anti-inflammatory drugs (NSAIDs) administered after radical retropubic prostatectomy (RRP). Methods: One hundred patients undergoing open RRP by one surgeon were divided randomly and prospectively into two groups of 50 patients, each receiving systematically either an NSAID (lornoxicam) or paracetamol for postoperative analgesia. Opiates were administered if needed for breakthrough pain. Parameters potentially correlated with postoperative bleeding, such as preoperative and postoperative hemoglobin (Hb) differences, estimated blood loss, number of transfusions, and drain output were recorded. Furthermore, the degree of pain was assessed daily with a visual analogue scale score until discharge from hospital. Results: After procedures with similar estimated blood loss, postoperative bleeding was not more in the NSAIDs group, as evidenced by similar transfusion rates (P ≤1), similar postoperative Hb values (P >0.05), and Hb drop after the procedure. No patient required re-exploration for bleeding; drain output when elevated was never attributed to postoperative bleeding. Pain control as evaluated by the visual analogue scale pain score was adequate with the use of NSAIDs and not statistically different from the non-NSAIDs group during postoperative days 1 and 4 and onward. Pain control with lornoxicam was even better on postoperative days 2 and 3 (P ≤0.05). Conclusions: Nonsteroidal anti-inflammatory drugs administered after open RRP are safe and effective. They do not increase the risk of bleeding and offer improved analgesia. © 2008 Elsevier Inc. All rights reserved