Search Results (20)

Background: An accurate D’Amico risk stratification is mandatory for prostate cancer (PCa) management. The purpose of this proof-of-concept study was to establish a methodological framework for integrating validated clinical nomograms with strict data-quality governance in order to generate reliable artificial neural networks (ANNs), even when the sample is small. Methods: We performed a retrospective analysis of a curated cohort of 49 patients from one centre. A multilayer perceptron (MLP) was trained using 11 variables, including the ISUP biopsy grade and Briganti nomogram. Model development was guided by a proactive data-quality protocol based on FAIR principles—the DQG-AI framework (data quality governance for AI-readiness, developed at Clínica Universidad de Navarra)—with stringent checks for accuracy, consistency and validity to ensure data were “AI-ready”. A sensitivity analysis was conducted on three data partitioning scenarios (20/80, 34/66 and 39/61). Results: From a starting pool of 76 patients, the DQG-AI framework was applied to create a highly selected cohort of 49 patients. A multilayer perceptron (MLP) trained on this “AI-ready” dataset achieved, on the 20/80 configuration, mathematically perfect discrimination (AUC 1.000; 100% accuracy) for High vs. Intermediate risk groups on a very small refined internal test set (N = 9), a figure we interpret as a methodological artefact of the curated dataset and validation constraints rather than as an indicator of true model performance. This complete accuracy is not, however, presented as evidence of generalizable clinical utility: it is a best-case figure obtained on a single, very small test subset (N = 9) after necessary validation-related exclusions, and the wide confidence interval (66.4–100%), together with the software-driven removal of test cases carrying factor levels absent from the training set (detailed in the Methods section), explicitly preclude any inference about real-world performance. Accordingly, the deliverable of this proof-of-concept study is the DQG-AI framework itself, not the model’s reported accuracy. Conclusions: The main contribution of this proof-of-concept study is the effective illustration of the DQG-AI framework as a strict, repeatable approach for producing “AI-ready” urological datasets. Although the MLP demonstrated a robust internal signal for risk discrimination, its flawless accuracy is an ideal, non-generalizable situation. The most important deliverable that needs external validation is the DQG-AI framework, not the model’s performance metrics. A pre-specified three-phase multi-institutional validation roadmap (single-centre cohort expansion → within-system between-site validation → Spanish multi-centre external validation), with a minimum target of ~220 evaluable patients derived from a 10-events-per-predictor floor, is provided to operationalise this external validation. Full article

Background/Objectives: Urology residency training widely varies across countries, and evidence comparing residents’ experiences at an international level is limited. This study reports the results of an international survey of urology residents from different countries worldwide, aiming to characterize training environments, educational exposure, and trainee expectations across diverse healthcare systems. Methods: A 39-item online survey was administered to urology residents during the Société Internationale d’Urologie (SIU) Regional Meeting (Florence, November 2024), assessing demographics, training exposure, educational resources, workload, satisfaction, and career perspectives. The results were compared between trainees at different postgraduate years (PGYs) to explore associations for key outcomes. Results: Overall, 208 urology residents from 21 countries completed the survey. Most residents were actively involved in research (76.4%), although confidence in independent scientific production was moderate (significantly lower among junior trainees). Surgical exposure increased with PGY, with good experience in endoscopy but limited hands-on exposure and expected autonomy in laparoscopic, robotic, and major open surgery. Despite high overall satisfaction with urology, residents described heavy workloads, inconsistent access to structured teaching and international fellowships, and a long-term shift in career expectations toward private practice. Conclusions: Urology residents worldwide report high engagement in research, strong satisfaction with their specialty choice, and interest in international mobility. Nonetheless, persistent disparities in surgical exposure, research confidence, workload, and gender representation highlight the need for competency-based curricula, structured mentorship, and improved training organization to promote equitable and high-quality urology education globally. Full article

Background/Objectives: For centuries, humans have employed animal models to progress biomedical science, to understand pathological and biological processes, and to develop and test drugs, vaccines, and surgical techniques. In the field of urology, Sampaio and his colleagues from Brazil were the pioneers in proposing that the porcine model is the most accurate representation of the human kidney. We aim to describe the relevant urinary anatomy of female Landrace pigs based on endoscopy and computed tomography (CT) scans and compare differences between the urinary anatomy of pigs and humans. Methods: Four white Landrace female pigs were used for the study: two for CT imaging and two for endoscopic assessment. CT-urograms were performed using a 64-channel tomography machine with 0.625 mm thick slices. For the endoscopic procedure, the intravaginal urethral meatus was cannulated using a cystoscope, followed by complete urethrocystoscopy. The ureteric orifices were then cannulated, and a retrograde pyelogram was performed, followed by ureterorenoscopy. The analyses were performed using SPSS (Version 28), and simulated data was created using R (version 3.5.0), with the significance set at p ≤ 0.05. The data obtained from two pigs was used to simulate an empirical data with 500 observations, using the mean and standard deviations from our n = 2 to produce a random normal distribution. Results: CT and endoscopic findings showed two multirenculate multipapillate kidneys, each receiving blood supply from a single renal artery that is further divided into cranial and caudal branches. The delayed phase of the urogram showed distal ureters passing posterior to the bladder and emptying into the bladder at the base. Urethroscopy revealed an intravaginal urethral meatus ventral to the anus, positioned midway between the mucocutaneous junction of the vulva and the cervix. Endoscopic view of the bladder neck showing patulous ureteric orifices at the bladder neck with no distinct interureteric ridge or trigone. Retrograde pyelogram showed a Group B drainage pattern in both pigs. Conclusions: While there are numerous similarities between the urinary systems of humans and pigs, there are important subtle differences that urologists and researchers need to be mindful of before using the porcine model for urological research and training. Full article

Background: Simulation-based laparoscopic training increasingly relies on portable, low-cost platforms that support home-based practice, but detailed descriptions of reproducible, do-it-yourself (DIY) trainers and their educational potential remain limited. Methods: We updated a low-budget laparoscopic simulator constructed from an inexpensive plastic container, wood components, a low-cost webcam, and plywood task pads modeled on Fundamentals of Laparoscopic Surgery (FLS) exercises. We then conducted informal qualitative usability testing in which 10 residents and 5 fellows from general surgery, gynecology, and urology used the simulator at home for one week and completed an eight-item feedback form plus free-text comments on assembly, ergonomics, realism, and educational value. Results: All participants successfully assembled and used the simulator; most described set-up as easy or intuitive, reported adequate image quality and lighting, and considered the platform useful for practicing depth perception, bimanual coordination, and cutting and suturing tasks. Feedback emphasized low cost, portability, and cross-specialty applicability, with only minor suggestions such as adjustable camera height or increased base weight. Conclusions: This DIY laparoscopic simulator could be assembled and used in a home-based setting, and trainees reported favorable usability and perceived educational value. More structured validation studies addressing face, content, and construct validity are needed to define its potential role within contemporary surgical curricula. Full article

Background: Clear cell renal cell carcinoma (ccRCC) is a prevalent urological malignancy, accounting for approximately 1.6% of all cancer-related deaths in 2022. While endocrine-disrupting chemicals (EDCs) have been implicated as risk factors for ccRCC, the toxicological profiles and immune mechanisms underlying Bisphenol A (BPA) exposure in ccRCC progression remain inadequately understood. Materials and Methods: Protein–protein interaction (PPI) analysis and visualization were performed on overlapping genes between ccRCC and BPA exposure. This was followed by Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses to elucidate potential underlying mechanisms. Subsequently, 108 distinct machine learning algorithm combinations were evaluated to identify the optimal predictive model. An integrated CoxBoost and Ridge regression model was constructed to develop a prognostic signature, the performance of which was rigorously validated across two independent external datasets. Finally, molecular docking analyses were employed to investigate interactions between key genes and BPA. Results: A total of 114 overlapping targets associated with both ccRCC and BPA were identified. GO and KEGG analyses revealed enrichment in cancer-related pathways, including pathways in cancer, endocrine resistance, PD-L1 expression and PD-1 checkpoint signaling, T-cell receptor signaling, endocrine function, and immune responses. Machine learning algorithm selection identified the combined CoxBoost-Ridge approach as the optimal predictive model (achieving a training set concordance index (C-index) of 0.77). This model identified eight key genes (CHRM3, GABBR1, CCR4, KCNN4, PRKCE, CYP2C9, HPGD, FASN), which were the top-ranked by coefficient magnitude in the prognostic model. The prognostic signature demonstrated robust predictive performance in two independent external validation cohorts (C-index = 0.74 in cBioPortal; C-index = 0.81 in E-MTAB-1980). Furthermore, molecular docking analyses predicted strong binding affinities between BPA and these key targets (Vina scores all <−6.5 kcal/mol), suggesting a potential mechanism through which BPA may modulate their activity to promote renal carcinogenesis. Collectively, These findings suggested potential molecular mechanisms that may underpin BPA-induced ccRCC progression, generating hypotheses for future experimental validation. Conclusions: These findings enhance our understanding of the molecular mechanisms by which BPA induces ccRCC and highlight potential targets for therapeutic intervention, particularly in endocrine and immune-related pathways. This underscores the need for collaborative efforts to mitigate the impact of environmental toxins like BPA on public health. Full article

Robotic surgery has become a cornerstone of modern urologic practice, with the da Vinci system maintaining dominance for over two decades. In recent years, however, a new generation of robotic platforms has emerged, introducing greater competition and innovation into the field. These systems aim to address unmet needs through features such as modular architectures, enhanced ergonomics, haptic feedback, and cost-containment strategies. Several platforms—including Hugo™ RAS, Versius™, Avatera™, REVO-I, Hinotori™, Senhance™, KangDuo, MicroHand S, Dexter™, and Toumai^®—have entered clinical use with early results demonstrating perioperative and short-term oncologic outcomes broadly comparable to those of established systems, particularly in procedures such as radical prostatectomy, partial nephrectomy, and radical cystectomy. At the same time, they introduce unique advantages in workflow flexibility, portability, and economic feasibility. Nevertheless, important challenges remain, including the need for rigorous comparative trials, standardized training curricula, and long-term cost-effectiveness analyses. The integration of artificial intelligence, augmented reality, and telesurgery holds the potential to further expand the role of robotics in urology, offering opportunities to enhance precision, improve accessibility, and redefine perioperative care models. This review summarizes the evolving landscape of robotic platforms in urology, highlights their clinical applications and limitations, and outlines future directions for research, training, and global implementation. Full article

Background/Objectives: Artificial intelligence (AI) has been utilised in urological conditions such as urolithiasis, urogynaecology and uro-oncology. The aim of this study is to examine the attitudes and beliefs about AI technology amongst urology healthcare providers. Methods: A structured online questionnaire, created from a modified Delphi method with a panel of urologists and urology surgical trainees, was delivered through the Urological Asia Association’s annual congress. The questionnaire, with 25 items of mixed type responses (five-point Likert scale, nominal-polytomous and open-ended), acquired data regarding demographics, perception and attitudes towards general usage of AI in urological care. Results: A total of 464 respondents from 47 different countries were collected. The results showed that 83.4% of participants believed AI will improve efficiency and 18.8% believed they are knowledgeable in AI technology, with ordinal logistic regression showing both urology specialists and trainees are more likely to agree to these responses. Overall, 51.5% believed AI adoption will not replace clinical practice, and regression analysis found those with previous AI training are more likely to agree to this response. We found AI is commonly used in research, patient education and administrative tasks and identified key enablers as regulatory approval, AI clinical effectiveness and access to AI training. Conclusions: Overall attitudes and beliefs towards the use of AI in urology is positive and encouraging. AI training and education and regulatory reform needs to be addressed to allow integration of AI into clinical practice. A limitation of the study lies in its generalisability to global settings due to the demographics of the respondents. Full article

It is estimated that nearly five billion people do not have access to surgical care. Approximately 94% of individuals in low- and middle-income countries (LMICs) lack access to surgery in comparison to 14.9% in high-income countries (HICs). There are several urologic conditions requiring surgical intervention that are not treated because of the limited number of expert urologists in LMICs. Telesurgery is a concept that connects patients and surgeons in different locations through the use of a robotic surgery system. In this review, we explain the origins of telesurgery as well as the benefits and obstacles to its global implementation. Telesurgery can reduce travel times and the dangers associated with traveling for surgical care in LMICs. Additionally, telesurgery allows patients in LMICs to gain access to expert urologists while also providing effective training to upcoming surgeons. However, LMICs require substantial investment to improve digital infrastructure that will support urologic telesurgery. There will also be ethical, legal, and policy considerations that will need to be resolved for safe and equitable urologic telesurgery to occur. There have been multiple successful applications of urologic telesurgery, suggesting that the technology for this to become routine is already available. The time for international collaboration must begin now to reduce global disparities in access to urologic surgery. Full article

Background: Across the world, many populations have limited access to urology care resulting in local general surgeons performing emergency urology procedures. This systematic review aims to evaluate the nature and outcomes of emergency urological surgeries performed by general surgeons. Methods: A systematic review was undertaken according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines with MEDLINE, Embase, Web of Science, and Google Scholar searched from inception to June 2024 for studies where general surgeons performed emergent urological surgery. We excluded studies on paediatric urology, acute scrotum, and Fournier’s gangrene. The Downs and Black checklist was used to assess risk of bias. Results: From 2093 initial results, six studies were included after screening. Two studies were from Australia, two from the United States of America, and one each from India and South Africa. For 977 emergency urological interventions, general surgeons (n = 486) and urologists (n = 491) each performed approximately half of the surgeries. Mortality rates for general surgeon-performed urology ranged from 0 to 8.0%. One study compared outcomes between the two surgical specialties, showing no significant difference for mortality or complication rates. No follow-up data was reported. The most performed procedures by general surgeons were traumatic bladder repair, ureteric stent insertion, and percutaneous nephrostomy. Conclusions: General surgeons perform a wide spectrum of emergency urological surgery when needed. Targeted training and utilisation of general surgeons could improve patient access to emergency urological surgery. Full article

Introduction: Urological conditions significantly impact global health, with increasing demand for urologists in both developed and developing countries. Disparities in access to surgical care between high-income countries (HICs) and low- and middle-income countries (LMICs) are evident. Despite advancements in urology, LMIC training programs often follow outdated curricula and traditional methods. Methodology: A comprehensive search strategy identified urology training programs in LMICs using the EduRank website, Google searches, and PubMed. Data were collected from the literature, official documents, and online resources, focusing on variables such as program duration, research requirements, and resident salaries. Results: The analysis revealed significant variability in program structures and requirements across LMICs. Residency training durations ranged from 4 to 6 years, with inconsistent research obligations and resident salaries averaging USD 12,857 annually, with a range from USD 5412 to USD 18,174. Fellowship opportunities were limited, with only a small number of programs achieving international accreditation. Conclusions: This study reveals disparities among urology training programs in LMICs, emphasizing the challenges faced by LMICs in providing comprehensive education. Outdated curricula, limited faculty, and insufficient resources contribute to the variability in training quality within LMICs. To bridge these gaps, there is a pressing need for standardized and locally tailored educational frameworks. Future research should focus on direct comparisons with programs in HICs to develop strategies that improve training opportunities and ensure equitable access to advanced urological education and care worldwide. Full article

Purpose: Blunt abdominopelvic trauma frequently results in injuries to the urinary organs, especially in polytrauma. The urotrauma is rarely an acute life-threatening event; however, it may lead to severe complications. Methods: This review addresses the under-representation of urological trauma management in interdisciplinary medical training and its impact on patient outcomes. It compiles evidence-based recommendations and guidelines from multiple specialties, focusing on common challenges in managing these injuries. The resource is tailored for primary care physicians in radiology, trauma surgery, internal medicine, urology, and nephrology. Results: Urinary tract injuries can occur even if the patient’s condition initially appears normal. An exclusion diagnosis is obligatory by contrast medium tomography of the entire urinary tract and, if suspected, an additional uroendoscopic examination. Interventional therapy by catheterisation of the urinary tract is often required. Urosurgical treatment is not commonly needed, but when there is a demand, it must be administered via an interdisciplinary approach with visceral and trauma surgery. Over 90% of life-threatening kidney injuries (usually up to grade 4–5 AAST) are presently treated by interventional radiologists. Acute kidney injury (AKI) as a complication in trauma patients may complicate clinical management and often worsens the outcome. The incidence of trauma-associated AKI in patients admitted to an intensive care unit is high. Conclusions: Patients suffering from blunt abdominopelvic trauma should ideally be referred to certified trauma centres with subspecialised or fully specialised care provided by visceral/vascular surgery, trauma surgery, interventional radiology, urology, and nephrology. This recommendation is based on the complex nature of most damage patterns. Full article

Artificial intelligence (AI) is providing novel answers to long-standing clinical problems, and it is quickly changing pediatric urology. This thorough analysis focuses on current developments in AI technologies that improve pediatric urology diagnosis, treatment planning, and surgery results. Deep learning algorithms help detect problems with previously unheard-of precision in disorders including hydronephrosis, pyeloplasty, and vesicoureteral reflux, where AI-powered prediction models have demonstrated promising outcomes in boosting diagnostic accuracy. AI-enhanced image processing methods have significantly improved the quality and interpretation of medical images. Examples of these methods are deep-learning-based segmentation and contrast limited adaptive histogram equalization (CLAHE). These methods guarantee higher precision in the identification and classification of pediatric urological disorders, and AI-driven ground truth construction approaches aid in the standardization of and improvement in training data, resulting in more resilient and consistent segmentation models. AI is being used for surgical support as well. AI-assisted navigation devices help with difficult operations like pyeloplasty by decreasing complications and increasing surgical accuracy. AI also helps with long-term patient monitoring, predictive analytics, and customized treatment strategies, all of which improve results for younger patients. However, there are practical, ethical, and legal issues with AI integration in pediatric urology that need to be carefully navigated. To close knowledge gaps, more investigation is required, especially in the areas of AI-driven surgical methods and standardized ground truth datasets for pediatric radiologic image segmentation. In the end, AI has the potential to completely transform pediatric urology by enhancing patient care, increasing the effectiveness of treatments, and spurring more advancements in this exciting area. Full article

Endoscopy-related musculoskeletal injuries (ERIs) are frequent among gastrointestinal, pulmonary, nasal, and urologic endoscopists, impacting the healthcare system. The present review aims to compare the ERI rates, risk factors, and ergonomic recommendations in the different endoscopic fields. A review was conducted using PubMed and Cochrane Library for articles based on surveys and published until 10 January 2024. Demographic, work, and ERI data from 46 publications were included, covering 10,539 responders. The ERI incidence ranged between 14% and 97%, highlighting the need of intervention independent of the specialties. The neck, back, and shoulder were the most frequent ERI locations, while gender, age, years of experience, and procedure volume the most common risk factors. Ergonomic recommendations suggest concentrating on endoscope design changes, especially in gastrointestinal endoscopy, to increase the comfort, adaptability of the equipment in the operating room, and workflow/institutional policy changes. The inclusion of an ergonomic timeout guarantees the correct equipment positioning, the neutralisation of the endoscopist’s posture, and an indirect break between procedures. Ergonomic training to increase awareness and best practice should be promoted, also using new technologies. Future research should concentrate on intervention and comparative studies to evaluate to which extent prevention measures and newly designed equipment could reduce ERI incidence. Full article

Endourology occupies an important place in modern urological practice. Compared with conventional surgery, it offers improved safety and patients experience less severe postoperative effects. Its use requires a certain level of equipment and technical skills. In many developed countries, it has been established for years and its practice has become routine. In Africa, it is still not very practical or even non-existent in certain reference centers. This survey conducted among the heads of urology departments or training coordinators in African referral centers defines the current practice of endourology. According to the needs and perspectives identified, it is important, if not essential, to create services or reference centers specializing in endourology. The role of these centers will be to take care of patients and train urologists in technical skills. The creation of a sub-regional and international network could contribute to the development of this practice. Multi-stakeholder cooperation (inter-state, with non-governmental organizations, companies or corporations) is also necessary. Full article

Renal cell carcinoma (RCC) represents the sixth most frequently diagnosed cancer in men and is asymptomatic, being detected mostly incidentally. The apparition of symptoms correlates with advanced disease, aggressive histology, and poor outcomes. The development of the Surface-Enhanced Raman Scattering (SERS) technique opened the way for investigating and detecting small molecules, especially in biological liquids such as serum or blood plasma, urine, saliva, and tears, and was proposed as a simple technique for the diagnosis of various diseases, including cancer. In this study, we investigated the use of serum label-free SERS combined with two multivariate analysis tests: Principal Component Analysis combined with Linear Discriminate Analysis (PCA-LDA) and Supported Vector Machine (SVM) for the discrimination of 50 RCC cancer patients from 45 apparently healthy donors. In the case of LDA-PCA, we obtained a discrimination accuracy of 100% using 12 principal components and a quadratic discrimination function. The accuracy of discrimination between RCC stages was 88%. In the case of the SVM approach, we obtained a training accuracy of 100%, a validation accuracy of 92% for the discrimination between RCC and controls, and an accuracy of 81% for the discrimination between stages. We also performed standard statistical tests aimed at improving the assignment of the SERS vibration bands, which, according to our data, are mainly due to purinic metabolites (uric acid and hypoxanthine). Moreover, our results using these assignments and Student’s t-test suggest that the main differences in the SERS spectra of RCC patients are due to an increase in the uric acid concentration (a conclusion in agreement with recent literature), while the hypoxanthine concentration is not statistically different between the two groups. Our results demonstrate that label-free SERS combined with chemometrics holds great promise for non-invasive and early detection of RCC. However, more studies are needed to validate this approach, especially when combined with other urological diseases. Full article