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BackgroundTo improve patient safety, there is an imperative to develop objective performance metrics for basic surgical skills training in robotic surgery.ObjectiveTo develop and validate (face, content, and construct) the performance metrics for robotic suturing and knot tying, using a chicken anastomotic model.Design, setting and participantsStudy 1: In a procedure characterization, we developed the performance metrics (i.e., procedure steps, errors, and critical errors) for robotic suturing and knot tying, using a chicken anastomotic model. In a modified Delphi panel of 13 experts from four EU countries, we achieved 100% consensus on the five steps, 18 errors and four critical errors (CE) of the task.Study 2: Ten experienced surgeons and nine novice urology surgeons performed the robotic suturing and knot tying chicken anastomotic task. The mean inter-rater reliability for the assessments by two experienced robotic surgeons was 0.92 (95% CI, 0.9–0.95). Novices took 18.5 min to complete the task and experts took 8.2 min. (p = 0.00001) and made 74% more objectively assessed performance errors than the experts (p = 0.000343).ConclusionsWe demonstrated face, content, and construct validity for a standard and replicable basic anastomotic robotic suturing and knot tying task on a chicken model.Patient summaryValidated, objective, and transparent performance metrics of a robotic surgical suturing and knot tying tasks are imperative for effective and quality assured surgical training.

Emerging imaging-guided technologies, such as prostate-specific membrane antigen radioguided surgery (PSMA-RGS) and augmented reality (AR), could enhance the precision and efficacy of robot-assisted prostate cancer (PCa) surgical approaches, maximizing the surgeons’ ability to remove all cancer sites and thus patients’ outcomes. Sentinel node biopsy (SNB) represents an imaging-guided technique that could enhance nodal staging accuracy by leveraging lymphatic mapping with tracers. PSMA-RGS uses radiolabeled tracers with the aim to improve intraoperative lymph node metastases (LNMs) detection. Several studies demonstrated its feasibility and safety, with promising accuracy in nodal staging during robot-assisted radical prostatectomy (RARP) and in recurrence setting during salvage lymph node dissection (sLND) in patients who experience biochemical recurrence (BCR) after primary treatment and have positive PSMA positron emission tomography (PET). Near-infrared PSMA tracers, such as OTL78 and IS-002, have shown potential in intraoperative fluorescence-guided surgery, improving positive surgical margins (PSMs) and LNMs identification. Finally, augmented reality (AR), which integrates preoperative imaging (e.g., multiparametric magnetic resonance imaging [mpMRI] of the prostate and computed tomography [CT]) onto the surgical field, can provide a real-time visualization of anatomical structures through the creation of three-dimensional (3D) models. These technologies may assist surgeons during intraoperative procedures, thus optimizing the balance between oncological control and functional outcomes. However, challenges remain in standardizing these tools and assessing their impact on long-term PCa control. Overall, these advancements represent a paradigm shift toward personalized and precise surgical approaches, emphasizing the integration of innovative strategies to improve outcomes of PCa patients.

IntroductionThe available studies comparing robot-assisted radical cystectomy (RARC) with intracorporeal (ICUD) vs. extracorporeal (ECUD) urinary diversion have not relied on a standardized methodology to report complications and did not assess the effect of different approaches on postoperative outcomes.MaterialsTwo hundred and sixty seven patients treated with RARC at a single center were assessed. A retrospective analysis of data prospectively collected according to a standardized methodology was performed. Multivariable logistic regression models (MVA) assessed the impact of ICUD vs. ECUD on intraoperative complications, prolonged length of stay (LOS), 30-day Clavien Dindo (CD) ≥ 2 complications and readmission rate. Interaction terms tested the impact of the approach on different patient subgroups. Lowess graphically depicted the probability of CD ≥ 2 after ICUD or ECUD according to patient baseline characteristics.ResultsOverall, 162 ICUD vs 105 ECUD (61 vs. 39%) were performed. Intraoperative complications were recorded in 24 patients. The median LOS and readmission rate were 11 vs. 13 (p = 0.02) and 24 vs. 22% (p = 0.7) in ICUD vs. ECUD, respectively. Overall, 227 postoperative complications were recorded. The overall rate of CD ≥ 2 was 35 and 43% in patients with ICUD vs. ECUD, respectively (p = 0.2). At MVA, the approach type was not an independent predictor of any postoperative outcomes (all p ≥ 0.4). Age-adjusted Charlson Comorbidity Index (ACCI) was associated with an increased risk of CD ≥ 2 (OR: 1.2, p = 0.006). We identified a significant interaction term between ACCI and approach type (p = 0.04), where patients with ICUD had lower risk of CD ≥ 2 relative to those with ECUD with increasing ACCI.ConclusionsRelying on a standardized methodology to report complications, we observed that highly comorbid patients who undergo ICUD have lower risk of postoperative complications relative to those patients who received ECUD.

Background Simultaneous urothelial cancer manifestation in the lower and upper urinary tract affects approximately 2% of patients. Data on the surgical benchmarks and mid-term oncological outcomes of enbloc robot-assisted radical cystectomy and nephro-ureterectomy are scarce. Methods After written informed consent was obtained, we prospectively enrolled consecutive patients undergoing enbloc radical cystectomy and nephro-ureterectomy with robotic assistance from the DaVinci Si-HD® system in a prospective institutional database and collected surgical benchmarks and oncological outcomes. Furthermore, as one console surgeon conducted all the procedures, whereas the team providing bedside assistance was composed ad hoc, we assessed the impact of this approach on the operative duration. Results Nineteen patients (9 women), with a mean age of 73 (SD: 7.5) years, underwent simultaneous enbloc robot-assisted radical cystectomy and nephro-ureterectomy. There were no cases of conversion to open surgery. In the postoperative period, we registered 2 Clavien-Dindo class 2 complications (transfusions) and 1 Clavien-Dindo class 3b complication (port hernia). After a median follow-up of 23 months, there were 3 cases of mortality and 1 case of metachronous urothelial cancer (contralateral kidney).The total operative duration did not decrease with increasing experience (r = 0.174, p  = 0.534). In contrast, there was a significant, inverse, strong correlation between the console time relative to the total operative duration and the number of conducted procedures after adjusting for the degree of adhesions and the type of urinary diversion(r = -0.593, p  = 0.02). Conclusions These data suggest that en bloc simultaneous robot-assisted radical cystectomy and nephro-ureterectomy can be safely conducted with satisfactory mid-term oncological outcomes. With increasing experience, improved performance was detectable for the console surgeon but not in terms of the total operative duration. Simulation training of all team members for highly complex procedures might be a suitable approach for improving team performance. Trial registration : Not applicable. Dm4iGs5nWD8FkGrYCfJL2M Video Abstract

PurposeTo assess the available literature evidence that discusses the effect of surgical experience on patient outcomes in robotic setting. This information is used to help understand how we can develop a learning process that allows surgeons to maximally accommodate patient safety.MethodsA literature search of the MEDLINE/PubMed and Scopus database was performed. Original and review articles published in the English language were included after an interactive peer-review process of the panel.ResultsRobotic surgical procedures require high level of experience to guarantee patient safety. This means that, for some procedures, the learning process might be longer than originally expected. In this context, structured training programs that assist surgeons to improve outcomes during their learning processes were extensively discussed. We identified few structured robotic curricula and demonstrated that for some procedures, curriculum trained surgeons can achieve outcomes rates during their initial learning phases that are at least comparable to those of experienced surgeons from high-volume centres. Finally, the importance of non-technical skills on patient safety and of their inclusion in robotic training programs was also assessed.ConclusionTo guarantee safe robotic surgery and to optimize patient outcomes during the learning process, standardized and validated training programs are instrumental. To date, only few structured validated curricula exist for standardized training and further efforts are needed in this direction.

BackgroundUse of inpatient palliative care (IPC) in advanced cancer patients represents a well-established guideline recommendation. A recent analysis demonstrated that genitourinary (GU) cancer patients benefited of IPC at the second lowest rate within the four examined primaries, namely lung, breast, colorectal, and GU. Based on this observation, we examined temporal trends and predictors of IPC use in metastatic prostate cancer patients receiving critical care therapies (CCT).Materials and methodsWe identified mPCa patients receiving CCT within the Nationwide Inpatient Sample database (2004–2015). IPC use rates were evaluated using univariable estimated annual percentage changes analyses. Multivariable logistic regression (MLR) models were used after adjustment for clustering at hospital level.ResultsOf 4168 mPCa patients receiving CCT, 449 (11.3%) received IPC. IPC use increased from 1.2 to 22.3% (EAPC: +19.6%, p < 0.001). After stratification according to regions, race, and teaching status, the highest increase of IPC use was recorded in the South (from 0 to 25.4 %, EAPC: +27.6%), in Caucasians (from 1.5 to 24.4 %, EAPC: +19.8%; p < 0.001) and in teaching hospitals (from 0.9 to 26.2 %, EAPC: +19.6%; p < 0.001). In MLR models, teaching status (Odds ratio [OR]: 1.74, p < 0.001) and contemporary year interval (OR: 4.63, p < 0.001) were associated with higher IPC rates. Conversely, African American race (OR: 0.66, p < 0.001) and primary diagnosis of GU disorders (OR: 0.49, p < 0.001) and gastrointestinal (GI) disorders at admission (OR: 0.61, p = 0.02) were associated with lower IPC rates.ConclusionsIPC use rate in mPCa patients receiving CCT sharply increased between 2004 and 2015. The highest increase of IPC use across time was recorded in the South, in Caucasian race, and in teaching hospitals. African-American race and nonteaching status were identified as independent predictors of lower IPC use and represent targets for efforts aimed at improving IPC delivery in mPCa patients receiving CCT.

Introduction: PI-RADS 3 lesions represent a diagnostic grey zone on multiparametric MRI, with clinically significant prostate cancer (csPCa) detected in only 10–30%. Their equivocal nature leads to both unnecessary biopsies and missed cancers. Artificial intelligence (AI) has emerged as a potential tool to provide objective, reproducible risk prediction. This review summarises current evidence on AI for risk stratification in patients with indeterminate mpMRI findings, including clarification of key multicentre initiatives such as the PI-CAI (Prostate Imaging–Artificial Intelligence) study—a global benchmarking effort comparing AI systems against expert radiologists. Methods: A narrative review of PubMed and Embase (search updated to August 2025) was conducted using terms including “PI-RADS 3”, “radiomics”, “machine learning”, “deep learning”, and “artificial intelligence.” Eligible studies included those evaluating AI-based prediction of csPCa in PI-RADS 3 lesions using biopsy or long-term follow-up as reference standards. Both single-centre and multicentre studies were included, with emphasis on externally validated models. Results: Radiomics studies demonstrate that handcrafted features extracted from T2-weighted and diffusion-weighted imaging can distinguish benign tissue from csPCa, particularly in the transition zone, with area-under-the-ROC curves typically 0.75–0.82. Deep learning approaches—including convolutional neural networks and large-scale representation-learning frameworks—achieve higher performance and can reduce benign biopsy rates by 30–40%. Models that integrate imaging-based AI with clinical predictors such as PSA density further improve discrimination. The PI-CAI study, the largest international benchmark to date (>10,000 MRI exams), shows that state-of-the-art AI systems can match or exceed expert radiologists for csPCa detection across diverse scanners, centres, and populations, though prospective validation remains limited. Conclusions: AI shows strong potential to refine management of PI-RADS 3 lesions by reducing unnecessary biopsies, improving csPCa detection, and mitigating inter-reader variability. Translation into routine practice will require prospective multicentre validation, harmonised imaging protocols, and integration of AI outputs into clinical workflows with clear thresholds, decision support, and safety-net recommendations.

BackgroundTo assess the diagnostic added value of sampling secondary lesions at prostate mpMRI (SL) in addition to index lesion (IL) in detecting significant prostate cancer (csPCa) when also systematic biopsy (SBx) is performed.MethodsWe relied on a cohort of 312 men with two suspicious lesions at prostate mpMRI who underwent subsequent targeted biopsy of each lesion (TBx) and concomitant SBx at two tertiary-referral centers between 2013 and 2019. The study outcome was the added value of targeting SL (i.e., the one with a lower PI-RADS score and/or the smaller size compared to IL) in the detection of csPCa. To this aim, we compared different biopsy strategies (SBx + overall TBx vs SBx + IL-targeted biopsy vs SBx + SL-targeted biopsy) and assessed whether SL features could be correlated with detection of csPCa at overall TBx in a multivariable logistic regression model (MVA).ResultsOverall, 44% of men had csPCa at TBx of all lesions while 39% and 23% of men had csPCa found in IL and SL, respectively. The rate of csPCa found at SBx, IL-TBx, and SL-TBx only was 5%, 6%, and 2%, respectively. The detection rate of csPCa for SBx + IL-TBx was 47%. The addition of SL-TBx increased csPCa detection by only 2% (p = 0.12). At MVA, neither PI-RADS of SL nor the number of cores targeting SL was associated with an increased detection of csPCa (all p > 0.3). Conversely, age (OR: 1.07), PSA (OR: 1.07), prostate volume (OR: 0.98), and PI-RADS of the IL (OR: 2.36) were independently associated with csPCa detection at TBx (all p < 0.01).ConclusionsThere is no significant benefit in terms of csPCa detection when an adequate SBx is performed in combination with IL-TBx in patients with multiple mpMRI lesions. In these men target biopsy of secondary lesions can be safely omitted.

PurposeTo test the conditional survival that examined the effect of event-free survival on cancer-specific mortality after primary tumour excision (PTE) in patients with squamous cell carcinoma of the penis (SCCP).Materials and methodsWithin the SEER database (1998–2015), 2282 stage I–III SCCP patients were identified. Conditional survival estimates were used to calculate cancer-specific mortality (CSM) after event-free survival intervals of 1, 2, 3, and 5 years. Multivariable Cox regression models predicted CSM according to event-free survival.ResultsAfter PTE, 5-year CSM-free rate was 78.0% and increased to 84.6%, 88.1%, 92.0%, and 94.2% in patients who survived ≥ 1, ≥ 2, ≥ 3, and ≥ 5 years. After stratification according to tumour characteristics, 5-year CSM-free rates increased from 85.9 to 95.4%, 79.0 to 97.1%, 78.9 to 90.0%, and from 54.5 to 86.0% in those survived ≥ 5 years, respectively, in T1N0, T2N0, T3N0, and N1-2 patients. In multivariable analyses, T2N0 [hazard ratio (HR) 1.68; p value < 0.001], T3N0 (HR 1.94; p value 0.001), and N1-2 (HR 6.61; p value < 0.001) were independent predictors of higher CSM rate at baseline, relative to T1N0. A decrease in all HRs was assessed over time in patients who survived. Attrition due to CSM was highest in N1-2 cohort and lowest in T1N0.ConclusionsConditional survival models showed a direct relationship between event-free survival duration and subsequent CSM in SCCP patients. Even patients with non-organ-confined disease may achieve survival probabilities similar to those with organ-confined disease after at least 5 years of event-free survival since PTE.

BackgroundThe National Comprehensive Cancer Network (NCCN) guidelines provide recommendations for staging of prostate cancer patients in the objective regarding presence of locoregional lymph node metastases (LNM) and bone metastases. We tested the performance characteristics of these recommendations in a community setting.MethodsWithin the Surveillance, Epidemiology, and End Results database (2004–2014), we identified patients with available Gleason, clinical stage and prostatic specific antigen. Performance characteristics endpoints consisted of sensitivity, specificity, positive predictive value (PPV), negative predictive value (NVP), overall accuracy and the number needed to image (NNI).ResultsTotally, 191,308 patients were assessable for the validation of the LNM staging recommendations. Sensitivity ranged from 80.6 to 86.3%, specificity from 74.7 to 79.3%, PPV from 7.8 to 8.0%, overall accuracy from 75.0 to 79.3% and NPV was 99.5%. The respective NNI values were 12.5 and 12.8. 197,408 patients were assessable for the validation of bone scan recommendations. These recommendations resulted in 90.8% sensitivity, 76.3% specificity, PPV of 5.7%, NPV of 99.8% and overall accuracy of 76.5%. The NNI was 17.5.ConclusionThe NCCN recommendations for locoregional LNM miss few patients with clinical LNM (0.3–0.4%) and provide a virtually perfect NPV of 99.5%. Also, the recommendations for bone scan miss a marginal number of patients with established bone metastases (0.14%) and yield a virtually perfect NPV of 99.8%.