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Introduction. The horseshoe kidney is the most frequent renal anomaly, with a prevalence of 0.25% and a male to female ratio of 3:1. Although the pathogenesis remains controversial, the consequences of the impaired urinary drainage are well known: up to two third of patients present with urinary stasis, infection and urolithiasis. Percutaneous nephrolithotomy (PCNL) is a successful procedure for urolithiasis in horseshoe kidneys. Materials and Methods. A 9-year-old patient with a 4-cm stone associated with horseshoe kidney underwent Percutaneous nephrolithotomy (PCNL). During the procedure, a flexible uretheroscopy was performed in order to obtain a complete vision and an optimal management of the procedure. Results. At the end of the procedure, the patient was stone-free. We reported no hemorrhagic complications, no pain and no infection. The patient was discharged after 48 hours. Conclusions. The procedure is safe and effective, as long as the surgeon pays attention to the recommendations below. [ABSTRACT FROM AUTHOR]

Introduction: Endoscopic combined intrarenal surgery (ECIRS) is a combination of both retrograde and antegrade approaches for treatment of large or complex renal stones in one procedure, that are currently being treated with multiple tracts or sessions of percutaneous nephrolithotomy, increasing the complications. The aim of our study is to describe the clinical outcomes of Mini-ECIRS in a pediatric population. Material and Methods: A retrospective study was performed in pediatric patients with lithiasis disease treated with mini-ECIRS between 2006 and 2023 in 2 referral centers in Europe. Demographic data, clinical data, stone size and location, laser settings, intraoperative variables, stone-free rate (SFR) and complications were collected. Pearson's chi-squared test, Fisheŕs test and logistic regression, were performed. Results: A total of 32 mini-ECIRS were included. The mean age was 9,8 years, 56.3% girls. The mean size and volume of the stone were 21.5mm and 3298, 2mm 3 , 53.1% were multiple. Ureteral access sheath was used in 93.8% of the surgeries and only 37.5% had preoperative JJ stent. 53.1% of percutaneous access were with 14 Fr sheath. High power laser was the most frequent energy source for lithotripsy, including thulium fiber laser. The mean operative time was 166,6 minutes. There was one perforation of the collecting system that was managed with JJ stent and in the postoperative period 81.2% of the patients had no complications. Three presented fever, 1 developed urinary sepsis, and 1 required reintervention. The SFR was 75% and the size, volume, hardness, and complexity of the lithiasis, as well as the non-use of lithotripsy in the retrograde approach were statistically significant in decreasing the success of the surgery. Conclusions: ECIRS is a feasible, safe, and efficient procedure in children with complex renal lithiasis, decreasing the number of procedures needed for stone free. Multicenter studies are required to validate these results on a population scale.

Background and Objective: The landscape of surgical training is undergoing transformative changes, especially in the realm of robot-assisted procedures like radical prostatectomy (RARP). This narrative review explores the evolving methodologies and innovations in RARP training, emphasizing the shift from traditional training approaches, such as the Halsted method, to more scientific methods like proficiency-based progression (PBP). The rationale for the review stems from the increased adoption of robot-assisted surgery and the resulting increase in associated adverse events reported in the United States. The Patient Safety in Robotic Surgery (SAFROS) project initiated by the European Commission of the World Health Organization emphasized the importance of structured training programs for robotic surgeons. However, the review points out the limited availability of standardized curricula for RARP training, leading to non-homogeneous training worldwide., Methods: PubMed was searched primarily for the following topics: training AND robotic AND prostatectomy; robotic training AND prostatectomy AND learning; simulator AND robotic AND prostatectomy. Literature was selected based on historical significance and landmark studies as well as publications published after 2000. References from select studies were additionally included., Key Content and Findings: The advent of robotic surgery, especially in RARP, demands unique skills necessitating specialized training. The review delves into the diverse stages of robotic surgery training, starting with e-learning and progressing through virtual reality simulators, dry and wet laboratories, culminating in modular console training. Each training stage plays a critical role, addressing the challenges posed by new technologies and tools., Conclusions: The ever-evolving landscape of surgical training underscores the critical need for globally standardized, effective, and accessible programs. PBP emerges as a promising methodology, and technological advancements open new possibilities for telementoring via platforms like 5G. This review emphasizes the imperative to equip surgeons with the requisite skills for intricate procedures like RARP, addressing current challenges while anticipating the future developments in this dynamic field.

Background: Robotic-assisted radical prostatectomy (RARP) is currently a first-line treatment option for men with localized prostate cancer (PCa), at least 10 years of life expectancy, and candidate for curative treatment. We performed a scoping review to evaluate the role of artificial intelligence (AI) on RARP for PCa., Methods: A comprehensive literature search was performed using EMBASE, PubMed, and Scopus. Only English papers were accepted. The PICOS (Patient Intervention Comparison Outcome Study type) model was used; P: adult men with PCa undergoing RARP; I: use of AI; C: none; O: preoperative planning improvement and postoperative outcomes; S: prospective and retrospective studies., Results: Seventeen papers were included, dealing with prediction of positive surgical margins/extraprostatic extension, biochemical recurrence, patient's outcomes, intraoperative superimposition of magnetic resonance images to identify and locate lesions for nerve-sparing surgery, identification and labeling of surgical steps, and quality of surgery. All studies found improving outcomes in procedures employing AI., Conclusions: The integration of AI in RARP represents a transformative advancement in surgical practice, augmenting surgical precision, enhancing decision-making processes and facilitating personalized patient care. This holds immense potential to improve surgical outcomes and teaching, and mitigate complications. This should be balanced against the current costs of implementation of robotic platforms with such a technology.

Background: Histopathological examination, a cornerstone in diagnosing cancer, faces challenges due to its time-consuming nature. This review explores the potential of ex-vivo fluorescent confocal microscopy (FCM) in urology, addressing the need for real-time pathological assessment, particularly in prostate cancer. This systematic review aims to assess the applications of FCM in urology, including its role in prostate cancer diagnosis, surgical margin assessment, and other urological fields., Methods: Following Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) guidelines, a systematic search of PubMed and SCOPUS was conducted, focusing on English written original articles published after January 1, 2018, discussing the use of FCM in urological practice. The search included keywords related to FCM and urological terms. The risk of bias assessment was performed using Quality Assessment of Diagnostic Accuracy Studies-2 (QUADAS-2) tool., Results: A total of 17 relevant studies were included in the review that focuses on three main urological issues: prostate cancer (15 articles), bladder cancer (1 article), and renal biopsy (1 article). FCM exhibited significant promise in diagnosing prostate cancer. These studies reported an accuracy range of 85.33% to 95.1% in distinguishing between cancerous and non-cancerous prostate tissues. Moreover, FCM proved valuable for assessing surgical margins in real-time during radical prostatectomy, reducing the need for frozen section analysis. In some investigations, researchers explored the integration of artificial intelligence (AI) with FCM to automate diagnostic processes. Concerning bladder cancer, FCM played a beneficial role in evaluating urethral and ureteral margins during radical cystectomy. Notably, it showed substantial agreement with conventional histopathology and frozen section examination. In the context of renal biopsy, FCM demonstrated the potential to differentiate normal renal parenchyma from cancerous tissue, although the available evidence is limited in this area. The main limitation of the current study is the scarcity of data regarding the topic of interest., Conclusions: Ex-vivo FCM holds promise in urology, particularly in prostate cancer diagnosis and surgical margin assessment. Its real-time capabilities may reduce diagnostic delays and patient stress. However, most studies remain experimental, requiring further research to validate clinical utility.

Introduction: Rare genitourinary tumors are lacking of randomized and observational data. We aimed to describe the clinical characteristics and outcomes of patients with collecting duct carcinoma (CDC) through the Meet-URO 23/I-RARE database., Materials and Methods: We performed a multicentric retrospective-prospective study within the Meet-URO network, enrolling patients from March 2021 (retrospectively up from 2011) until March 2023. The primary objective was to describe the clinical characteristics of patients with CDC, the secondary objectives were to assess the oncological outcomes in terms of relapse-free survival (RFS), progression-free survival (PFS), overall survival (OS) and objective response rate (ORR) to treatment., Results: 37 patients with CDC were enrolled. Four patients underwent only surgery, 33 received first-line systemic therapy. Median OS was 22.1 months (95% CI, 8.9-31.9). Median RFS for patients with localized disease at onset (n = 30) was 3.7 months (95% CI, 1.9-12.8), median PFS for first-line treatment was 3.3 months (95% CI, 2.7-9.9), with an ORR of 27%. Female sex and good performance status (PS) were associated with longer PFS (P = .072 and P < .01, respectively) and OS (P = .030 and P = .141, respectively)., Conclusions: Patients with CDC had dismal prognosis, with scarce benefit from the available treatments. Female sex and good PS seemed to be associated with better prognosis., Competing Interests: Disclosure The authors have no conflicts of interest to declare., (Copyright © 2024 The Authors. Published by Elsevier Inc. All rights reserved.)

Introduction: Artificial intelligence and machine learning are the new frontier in urology; they can assist the diagnostic work-up and in prognostication bring superior to the existing nomograms. Infectious events and in particular the septic risk, are one of the most common and in some cases life threatening complication in patients with urolithiasis. We performed a scoping review to provide an overview of the current application of AI in prediction the infectious complications in patients affected by urolithiasis., Evidence Acquisition: A systematic scoping review of the literature was performed in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-analyses for Scoping Reviews (PRISMA-ScR) guidelines by screening Medline, PubMed, and Embase to detect pertinent studies., Evidence Synthesis: A total of 467 articles were found, of which nine met the inclusion criteria and were considered. All studies are retrospective and published between 2021 and 2023. Only two studies performed an external validation of the described models. The main event considered is urosepsis in four articles, urinary tract infection in two articles and diagnosis of infection stones in three articles. Different AI models were trained, each of which exploited several types and numbers of variables. All studies reveal good performance. Random forest and artificial neural networks seem to have higher AUC, specificity and sensibility and perform better than the traditional statistical analysis., Conclusions: Further prospective and multi-institutional studies with external validation are needed to better clarify which variables and AI models should be integrated in our clinical practice to predict infectious events.

Introduction: The treatment preferences of Chinese physicians who treat nonmetastatic castration-resistant prostate cancer (nmCRPC) and how they weigh the benefits and risks of nmCRPC treatment are still unknown. This study aimed to evaluate Chinese physicians' benefit-risk treatment preferences for nmCRPC and assist in setting nmCRPC treatment goals., Methods: A paper-based discrete choice experiment (DCE) survey was administered to 80 nmCRPC-treating physicians. DCE responses were analyzed to produce the preference weight and the relative importance score for each attribute level. The marginal rate of substitution (MRS) was used to quantify the amount of overall survival (OS) physicians were willing to trade for a reduction in treatment-related adverse events (AEs). We further conducted the exploratory analysis, stratifying physicians from 5 perspectives into different subgroups and examining the treatment preferences and OS trade-off in each subgroup., Results: In terms of efficacy attributes, physicians placed greater emphasis on OS than time to pain progression. With regard to safety attributes, serious fracture was perceived as the most important AE by physicians, followed by serious fall, cognitive problems, skin rash, and fatigue. In the exploratory analysis, we found generally that physicians with less clinical practice experience and those from more economically developed regions placed more emphasis on AEs and were willing to give up more of their patients' OS to reduce the risk of AEs., Conclusion: Physicians from mainland China value the importance of minimizing treatment-related AEs when considering different treatment options for patients with nmCRPC, and they are willing to trade a substantial amount of OS to avoid AEs., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2024 Fan, Guo, Campobasso and He.)