Minerva Urology and Nephrology最新文献

{"title":"Optimizing urology residency education in Italy: a national tele-lecture experience.","authors":"Andrea Piccolini, Marco Paciotti, Alessandro Antonelli, Riccardo Bartoletti, Andrea B Galosi, Carlo Bettocchi, Alberto Briganti, Eugenio Brunocilla, Antonio Carbone, Luca Carmignani, Giuseppe Carrieri, Maria A Cerruto, Sebastiano Cimino, Luigi Cormio, Luigi F DA Pozzo, Fabrizio Dal Moro, Rocco Damiano, Ottavio DE Cobelli, Marco DE Sio, Pasquale DI Tonno, Vincenzo Ficarra, Enrico Finazzi Agrò, Cristian Fiori, Giorgio Franco, Paolo Gontero, Ciro Imbimbo, Giovanni Lughezzani, Massimo Madonia, Lorenzo Masieri, Ettore Mearini, Salvatore Micali, Andrea Minervini, Emanuele Montanari, Giuseppe Maria Morgia, Gennaro Musi, Rocco Papalia, Francesco Porpiglia, Bernardo Rocco, Andrea Salonia, Riccardo Schiavina, Luigi Schips, Alessandro Sciarra, Sergio Serni, Alchiede Simonato, Carlo Terrone, Andrea Tubaro, Alessandro Volpe, Nicolò M Buffi","doi":"10.23736/S2724-6051.25.06832-6","DOIUrl":"https://doi.org/10.23736/S2724-6051.25.06832-6","url":null,"abstract":"","PeriodicalId":53228,"journal":{"name":"Minerva Urology and Nephrology","volume":"78 1","pages":"152-155"},"PeriodicalIF":4.2,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146203743","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Current role of artificial intelligence in the management of benign prostatic hyperplasia: a systematic review.","authors":"Manfredi B Sequi, Antonio L Pastore, Yazan Al Salhi, Riccardo Lombardo, Fabio M Valenzi, Paolo P Suraci, Onofrio A Rera, Silvio Scalzo, Alice Antonioni, Damiano Graziani, Giorgio Martino, Giuseppe Candita, Filippo Gianfrancesco, Paolo Benanti, Luca Erra, Giovanni DI Gregorio, Antonio Cicione, Cosimo DE Nunzio, Antonio Carbone, Andrea Fuschi","doi":"10.23736/S2724-6051.25.06658-3","DOIUrl":"10.23736/S2724-6051.25.06658-3","url":null,"abstract":"<p><strong>Introduction: </strong>Artificial intelligence (AI) and its subsets, including machine learning (ML) and deep learning (DL), have revolutionized various fields, including urology. This review examines the application of AI in managing benign prostatic hyperplasia (BPH), focusing on its potential to enhance diagnosis, treatment, and patient education.</p><p><strong>Evidence acquisition: </strong>PubMed, Embase, Web of Science, IeeeXplore, and Cochrane databases were searched till December 2024. PRISMA guidelines were followed to identify eligible studies on artificial intelligence and benign prostatic hyperplasia. Data were divided into two broad categories: Large language models (LLMs) for patient education and clinical AI applications. Clinical AI applications were further divided in: biomarker identification, functional diagnostics, imaging, severity diagnosis, treatment prediction, and histological examination. Data extraction included study characteristics, data sources, model development and validation methods, handling of missing data, calibration, threshold selection, interpretability, and safeguards against data leakage. The risk of bias was assessed using the QUADAS-2, PROBAST, and ROBINS-I tools.</p><p><strong>Evidence synthesis: </strong>Twenty-three studies were included: four evaluated large language models (LLMs) for patient education, and 19 investigated clinical AI applications, including biomarker identification, functional evaluation, imaging, severity diagnosis, and histological examination. The LLMs studies investigated AI chatbots like ChatGPT-3.5, ChatGPT-4, and New Bing Chat have shown high accuracy in answering BPH-related questions, aiding patient education. Biomarker Identification: Studies utilizing ML algorithms identified key diagnostic genes and biomarkers for BPH, improving diagnostic accuracy; Functional Evaluation: AI models accurately predict urinary flow patterns and diagnose bladder dysfunctions, reducing the need for invasive procedures; Imaging: AI improves the accuracy of prostate segmentation and volume measurement, aiding better diagnosis and treatment planning; Severity Diagnosis and Treatment: AI systems provide accurate severity assessments and predict treatment outcomes, supporting clinical decision-making; Histological Examination: AI-based models demonstrate high accuracy in diagnosing BPH and predicting tissue responses to treatments.</p><p><strong>Conclusions: </strong>AI has demonstrated significant promise in BPH management, offering enhanced diagnostic accuracy, personalized treatment strategies, and improved patient engagement. However, challenges remain, including data heterogeneity, small and institution-specific datasets, and a lack of prospective validation studies. Ethical concerns, regulatory oversight, and physician trust also need to be addressed before widespread clinical adoption. Future research should focus on refining AI models through multi-institutional collaborations,","PeriodicalId":53228,"journal":{"name":"Minerva Urology and Nephrology","volume":"78 1","pages":"40-52"},"PeriodicalIF":5.1,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146203631","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Comment on: Robotic retrohepatic inferior vena cava thrombectomy using the caudate lobectomy technique: indications and initial outcomes.","authors":"Matthew Gaynor, Gaetano Ciancio","doi":"10.23736/S2724-6051.25.06752-7","DOIUrl":"10.23736/S2724-6051.25.06752-7","url":null,"abstract":"","PeriodicalId":53228,"journal":{"name":"Minerva Urology and Nephrology","volume":"78 1","pages":"159-160"},"PeriodicalIF":5.1,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146203606","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"BICEP: a living framework.","authors":"Selçuk Guven","doi":"10.23736/S2724-6051.25.06895-8","DOIUrl":"10.23736/S2724-6051.25.06895-8","url":null,"abstract":"","PeriodicalId":53228,"journal":{"name":"Minerva Urology and Nephrology","volume":"78 1","pages":"151-152"},"PeriodicalIF":4.2,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146203623","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Is it simpler with single-port?. A comparative analysis of single-port robot-assisted simple and radical nephrectomy in a tertiary referral center.","authors":"Hakan B Haberal, Valerio Santarelli, Fabio M Valenzi, Muhannad Aljoulani, Alexandru Turcan, Flavia Tamborino, Filippo Carletti, Luca Lambertini, Giulio Avesani, Matteo Pacini, Ruben Calvo Sauer, Juan R Torres-Anguiano, Simone Crivellaro","doi":"10.23736/S2724-6051.25.06476-6","DOIUrl":"10.23736/S2724-6051.25.06476-6","url":null,"abstract":"<p><strong>Background: </strong>Simple nephrectomy (SN), a procedure performed for benign kidney conditions, can be more challenging and complicated than radical nephrectomy (RN). With the widespread adoption of minimally invasive surgery, robotic platforms have also been introduced for SN. In this study, we aim to compare perioperative outcomes and complications between single-port (SP) robotic-assisted (RA) SN and RN in a tertiary referral center.</p><p><strong>Methods: </strong>Data from 63 consecutive patients who underwent SP-RASN and SP-RARN between December 2018 and December 2024 at a single center, performed by a single surgeon, were evaluated. We compared baseline patient characteristics, intraoperative and postoperative outcomes.</p><p><strong>Results: </strong>A total of 33 SP-RARN and 30 SP-RASN were included. There were no differences between the two groups in terms of operation time and estimated blood loss (P=0.741, P=0.587, respectively). None of the patients in the SP-RASN group required conversion to open surgery, and no intraoperative complications were observed. In the SP-RASN group, the median length of hospital stay (LOS) was 0.5 (0-1.25) days, and the same-day discharge (SDD) rate was 50%. The numbers of patients with Clavien grade 1 and grade 2 complications for SP-RASN was 3 (10%) and 4 (13.3%), respectively. There was a 0% incidence of major postoperative complications (≥Clavien-Dindo grade 3). LOS, SDD, postoperative complications and readmission rates were similar between groups (P=0.120, P=0.064, P=0.854, P=0.498, respectively).</p><p><strong>Conclusions: </strong>SP-RASN is a feasible option for the management of benign renal conditions/diseases, offering a low postoperative complication rate and the possibility of SDD.</p>","PeriodicalId":53228,"journal":{"name":"Minerva Urology and Nephrology","volume":" ","pages":"63-69"},"PeriodicalIF":4.2,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145071166","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Three-dimensional virtual model for robot-assisted partial nephrectomy in totally endophytic renal tumors: a propensity-score matching analysis with a control group.","authors":"Antonio A Grosso, Fabrizio DI Maida, Luca Lambertini, Giulia Carli, Marco Saladino, Francesco L Conte, Vincenzo Salamone, Francesca Conte, Neliana Kucuku, Filippo Lipparini, Daniele Paganelli, Sofia Giudici, Rino Oriti, Riccardo Fantechi, Matteo Salvi, Gianni Vittori, Andrea Minervini, Andrea Mari","doi":"10.23736/S2724-6051.25.06516-4","DOIUrl":"10.23736/S2724-6051.25.06516-4","url":null,"abstract":"<p><strong>Background: </strong>Three-dimensional virtual models (3DVMs) have emerged as a promising tool to enhance both surgical precision and functional outcomes in complex robot-assisted partial nephrectomies (RAPN). This study aimed to compare perioperative and functional outcomes between two cohorts of patients undergoing RAPN for totally endophytic renal tumors, with and without the use of 3DVMs.</p><p><strong>Methods: </strong>A retrospective analysis on a prospectively maintained dataset was conducted on 277 patients treated between 2019 and 2022, including 43 who underwent surgery with 3DVM assistance and 234 who relied on conventional two-dimensional (2D) imaging. Propensity-score matching (PSM) analysis using a 2:1 ratio was conducted to reduce selection bias. The primary outcome was achieving the \"trifecta\". Predictors of trifecta achievement were analyzed using multivariate logistic regression.</p><p><strong>Results: </strong>After PSM, 43 patients in the 3DVM group were compared with 86 patients in the control group. Baseline patient- and tumor-related characteristics were similar between groups. Selective clamping was exclusively performed in the 3DVM group (16.3% vs. 0%, P=0.01). Global ischemia time was found significantly shorter in the 3D-guided group (median 10 vs. 14 min; P=0.01). Positive surgical margins (6.9% vs. 7.3%) did not differ significantly. Trifecta was achieved more frequently in the 3DVM group (76.7% vs. 68.2%, P=0.04). Multivariate analysis confirmed 3DVMs as an independent predictor of trifecta success (OR 1.58; 95% CI 1.12-1.99).</p><p><strong>Conclusions: </strong>For totally endophytic renal tumors, 3DVM integration facilitated selective clamping and improved trifecta attainment, reinforcing its role in optimizing outcomes in complex nephron-sparing surgery.</p>","PeriodicalId":53228,"journal":{"name":"Minerva Urology and Nephrology","volume":"78 1","pages":"70-77"},"PeriodicalIF":5.1,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146203793","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Minimally-invasive partial versus total adrenalectomy for unilateral aldosterone-producing adenomas and pheochromocytoma: long-term results from a multicenter Italian study applying the clinical cure system.","authors":"Umberto Anceschi, Daniele Amparore, Salvatore Basile, Rocco S Flammia, Francesco Prata, Giovanni Alemanno, Davide Buonanno, Marilda Mormando, Orazio Zappalà, Bernardino DE Concilio, Alessandro Carrara, Alberto Quarà, Michele Ortenzi, Antonio Minore, Mariavittoria Vescovo, Sabrina T DE Cillis, Alberto Ragusa, Andrea Iannuzzi, Riccardo Mastroianni, Flavia Proietti, Marialuisa Appetecchia, Rocco Papalia, Costantino Leonardo, Cristian Fiori, Francesco Porpiglia, Antonio Celia, Paolo Prosperi, Giuseppe Simone","doi":"10.23736/S2724-6051.25.06583-8","DOIUrl":"10.23736/S2724-6051.25.06583-8","url":null,"abstract":"<p><strong>Background: </strong>The aim of this study is to compare the long-term clinical outcomes of minimally invasive partial adrenalectomy (MIPA) and minimally invasive total adrenalectomy (MITA) in patients with benign functional adrenal disease, using a standardized clinical outcome metric.</p><p><strong>Methods: </strong>We conducted a retrospective, multicenter cohort study across six Italian institutions involved in the surgical management of adrenal disease. A total of 212 patients underwent MIPA (N.=41) or MITA (N.=171) for primary aldosteronism (PA, N.=111) or pheochromocytoma (PC, N.=101) between 2010 and 2022. Clinical outcomes were evaluated using the clinical cure classification proposed by Vorselaars et al., stratified by surgical approach and adrenal pathology. Perioperative parameters and postoperative steroidal replacement were also assessed.</p><p><strong>Results: </strong>Median follow-up was 53.9 months (IQR 31.4-103.1). Rates of clinical cure, clear improvement, and failure were 61.0%, 17.1%, and 21.9% in the MIPA group, and 70.1%, 15.3%, and 14.6% in the MITA group, respectively (all P>0.54). Postoperative steroidal replacement was more common after MITA (19.5% vs. 9.9%, P=0.80). When stratified by pathology, clinical cure was significantly more frequent in PC compared to PA (86.1% vs. 52.3%, P<0.001). Complication rates were low and comparable between groups (P=0.82).</p><p><strong>Conclusions: </strong>In selected cases, MIPA offers long-term clinical outcomes comparable to MITA, with a lower trend in steroidal replacement. Stratification by pathology confirmed the greater clinical reversibility of PC compared to PA. The clinical cure system proved applicable across disease types and surgical strategies, supporting its broader use as a pragmatic evaluative tool in adrenal surgery.</p>","PeriodicalId":53228,"journal":{"name":"Minerva Urology and Nephrology","volume":"78 1","pages":"90-99"},"PeriodicalIF":5.1,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146203723","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Ergonomic assessment of robotic surgical platforms for urological surgery: a study endorsed by the Robotic Urological Section of the European Association of Urology.","authors":"Silvia Secco, Nikolaos Liakos, Nikolaos Pyrgidis, Ben Challacombe, Nina N Harke, Andrea Gallioli, Paolo Dell'oglio, Antonio Galfano, Elio Mazzone, Andrea Minervini, Vipul Patel, Bernardo Rocco, Veronique Phé, Giorgio Gandaglia, Anne-Francoise Spinoit, Carl J Wijburg, Alexandre Mottrie, Henk G VAN DER Poel, Peter Wiklund, Marta Marchetti, Christian Gratzke, Alberto Breda, Christian Wagner","doi":"10.23736/S2724-6051.25.06608-X","DOIUrl":"10.23736/S2724-6051.25.06608-X","url":null,"abstract":"<p><strong>Background: </strong>Work-related musculoskeletal disorders are a growing concern in surgical practice, particularly in the context of robot-assisted surgery. Physical strain can significantly impact the well-being and performance of surgeons and surgical staff. This study aimed to evaluate the prevalence and severity of surgical strain among urologists using different available surgical platforms.</p><p><strong>Methods: </strong>An anonymized, web-based survey was conducted between March and October 2024 using the REDCap platform. Distributed via professional networks and social media, the survey collected data on demographics, surgical experience, platform usage, and self-reported physical discomfort. Statistical analysis included Mann-Whitney U and Chi-squared tests, with P<0.05 considered significant.</p><p><strong>Results: </strong>A total of 427 urologists participated. Most console surgeons (up to 83% for one robotic system variant) reported some level of physical discomfort. Discomfort was also reported by 83% of open surgeons and 80% of bedside assistants, the latter of whom had the highest incidence of injury (53%) from robotic arms. A noteworthy subset of survey respondents required physiotherapy (13-15%), medical (6-11%), or surgical (2-3.8%) interventions due to physical strain. No significant differences were observed by age or sex among console users.</p><p><strong>Conclusions: </strong>Ergonomic strain is prevalent among urologic surgeons, regardless of surgical platform, with bedside assistants particularly vulnerable. These findings underscore the need for ergonomic training, physical conditioning, and design improvements in surgical systems to safeguard surgeon health and maintain procedural efficacy.</p>","PeriodicalId":53228,"journal":{"name":"Minerva Urology and Nephrology","volume":"78 1","pages":"100-107"},"PeriodicalIF":5.1,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146203790","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Accuracy, readability, and understandability of EAU Guidelines Bot for urinary infections guidelines.","authors":"Manfredi B Sequi, Riccardo Lombardo, Ludovica M Coppola, Eleonora Rosato, Matteo Romagnoli, Sabrina DE Cillis, Enrico Checcucci, Daniele Amparore, Mauro Ragonese, Nazzario Foschi, Valerio Santarelli, Pietro Spatafora, Giacomo Gallo, Vincenzo Pagliarulo, Giorgia Tema, Antonio Nacchia, Antonio Cicione, Antonio Franco, Antonio L Pastore, Yazan Al Salhi, Bernardo Rocco, Mauro Gacci, Cristian Fiori, Enrico Finazzi, Alessandro Sciarra, Andrea Tubaro, Cosimo DE Nunzio","doi":"10.23736/S2724-6051.25.06921-6","DOIUrl":"https://doi.org/10.23736/S2724-6051.25.06921-6","url":null,"abstract":"","PeriodicalId":53228,"journal":{"name":"Minerva Urology and Nephrology","volume":"78 1","pages":"21-25"},"PeriodicalIF":4.2,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146203601","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Comment on: Development of a bladder injury classification system for endoscopic procedures: a mixed-methods study involving expert consensus and validation.","authors":"Giulio Avesani, Andrea Gallioli, Francesco DI Bello, Alberto Breda, Joan Palou","doi":"10.23736/S2724-6051.25.06883-1","DOIUrl":"10.23736/S2724-6051.25.06883-1","url":null,"abstract":"","PeriodicalId":53228,"journal":{"name":"Minerva Urology and Nephrology","volume":"78 1","pages":"148-150"},"PeriodicalIF":4.2,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146203681","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}