Transvaginal Natural Orifice Transluminal Endoscopic Surgery (vNOTES) in Urogynecological Surgery: A Systematic Review.

Background: Minimally invasive surgery could improve cosmetic outcomes and reduce the risks of surgical injury with less postoperative pain and a quicker patient's discharge. Recently, transvaginal natural orifice transluminal endoscopic surgery (vNOTES) has been introduced in urogynecology with exciting results. Evidence Acquisition: After PROSPERO registration (n°CRD42023406815), we performed a comprehensive literature search on Pubmed, Embase, and Cochrane CENTRAL, including peer-reviewed studies evaluating transvaginal natural orifice transluminal endoscopic surgery. No limits on time or type of study were applied. Evidence synthesis: Overall, 12 manuscripts were included in the analysis. Seven studies evaluated uterosacral ligament suspension, four studies evaluated sacral colpopexy, three evaluated sacrospinous ligament suspension, and one study evaluated lateral suspension. Overall success rates were high (>90%); however, definitions of success were heterogeneous. In terms of complication, most of the studies reported low-grade complications (Clavien-Dindo I and II); only two patients needed mesh removal because of mesh exposure. The risk of bias of the trials was rated in the medium to high-risk category. Conclusions: The present review highlights important initial results for vNOTES. Future randomized clinical trials are needed to better define its role in the management of urogynecological procedures.

PSMA PET-targeted Biopsy for Prostate Cancer Diagnosis: Initial Experience From a Multicenter Cohort.

OBJECTIVE: To describe the initial experience with PSMA-PET/CT-guided biopsy in European referral centres. METHODS: This multicenter observational cohort study was endorsed by the Young Academic Urologist (YAU) Prostate Cancer Group of the EAU and conducted across 6 tertiary-level European centres. PSMA-guided biopsies were carried out in a cognitive/fusion manner for all the recruited patients with or without MRI-guided biopsies and/or standard biopsy (SB). PCa and clinical significant PCa (csPCA) detection rate (DR) at prostate biopsy was assessed. Uni- and multivariable models were employed to identify features related to csPCA. RESULTS: Overall, 72 patients were recruited. The topographic location of the dominant lesion depicted by PSMA PET/CT was significantly associated with the location of csPCa, especially in the biopsy naïve cohort. The DR for PCa and csPCa of PSMA-PET/CT-guided biopsies was significantly higher than SB (0.40 ± 0.43 vs 0.23 ± 0.29, and 0.36 ± 0.44 vs 0.21 ± 0.30, respectively, both P <.05) but did not surpass MRI-guided biopsies (0.40 ± 0.43 vs 0.47 ± 0.44, and 0.36 ± 0.44 vs 0.47 ± 0.34, respectively, both P >.05). PSMA-PET/CT-guided biopsy performed better in the biopsy naïve than in the repeated biopsy setting. A SUVmax cut-off value equal to 4.8 provided the best results for detecting csPCa. CONCLUSION: Our real-world data illustrate the potentialities of PSMA-PET/CT-guided biopsy in diagnosing PCa. Specifically, in biopsy naïve patients with suspicion of high-risk disease, the use of PSMA-PET/CT-targeted biopsy can be considered. Additionally, in the context of repeated biopsies, a PSMA-PET/CT target biopsy might be advisable over the SB.

Association of Aggression with Lower Urinary Tract Symptoms and Overactive Bladder in Men: Observations from a Large Population-representative Study.

Background and objective: Lower urinary tract symptoms (LUTS) and overactive bladder (OAB) intimately affect the psychological wellbeing and mental health of men. However, to date, the association of aggression with LUTS and OAB has not been investigated. To address this knowledge gap, we evaluated the association of aggression with LUTS and OAB in a large representative cohort of men at the population level. Methods: We used computer-assisted web interviews that included reliable questionnaires for assessment of LUTS, OAB, and aggression. A population-representative group of men was based on the most recent census. For data analysis, we developed univariate and multivariate regression models. Key findings and limitations: We analyzed data for a cohort of 3001 men that was representative for age and place of residence. Aggression was more prevalent among respondents with LUTS and OAB in comparison to men without these conditions (p < 0.001). The scores for aggression were directly proportional to the scores for LUTS and OAB (Spearman's rank correlation coefficients of 0.261 for LUTS and 0.284 for OAB). Univariate linear regression models revealed an association between aggression and LUTS or OAB in all age groups. Finally, multivariable linear regression models confirmed that correlations of aggression with LUTS and OAB were independent of age, sociodemographic parameters, comorbidities, and lifestyle habits (regression coefficients of 0.013 for LUTS and 0.024 for OAB). Conclusions and clinical implications: Our study is the first to show that aggression among men is consistently associated with LUTS and OAB. Our results open a new research area on the effect of LUTS and OAB or their causes on psychological wellbeing and mental health, and may even support screening for hostile behavior in the clinical setting for individuals who report LUTS and OAB. Patient summary: We performed the first study to investigate whether aggression is linked to lower urinary tract symptoms (LUTS) and overactive bladder (OAB). Results from our survey in a representative group of men in Poland show that aggression is linked to LUTS and OAB. More research is needed to confirm these results.

3D virtual models and augmented reality for radical prostatectomy: a narrative review.

BACKGROUND AND OBJECTIVE: The increasing popularity of three-dimensional (3D) virtual reconstructions of two-dimensional (2D) imaging in urology has led to significant technological advancements, resulting in the creation of highly accurate 3D virtual models (3DVMs) that faithfully replicate individual anatomical details. This technology enhances surgical reality, providing surgeons with hyper-accurate insights into instantaneous subjective surgical anatomy and improving preoperative surgical planning. In the uro-oncologic field, the utility of 3D virtual reconstruction has been demonstrated in nephron-sparing surgery, impacting surgical strategy and postoperative outcomes in prostate cancer (PCa). The aim of this study is to offer a thorough narrative review of the current state and application of 3D reconstructions and augmented reality (AR) in radical prostatectomy (RP). METHODS: A non-systematic literature review was conducted using Medline, PubMed, the Cochrane Database, and Embase to gather information on clinical trials, randomized controlled trials, review articles, and prospective and retrospective studies related to 3DVMs and AR in RP. The search strategy followed the PICOS (Patients, Intervention, Comparison, Outcome, Study design) criteria and was performed in January 2024. KEY CONTENT AND FINDINGS: The adoption of 3D visualization has become widespread, with applications ranging from preoperative planning to intraoperative consultations. The urological community's interest in intraoperative surgical navigation using cognitive, virtual, mixed, and AR during RP is evident in a substantial body of literature, including 16 noteworthy investigations. These studies highlight the varied experiences and benefits of incorporating 3D reconstructions and AR into RP, showcasing improvements in preoperative planning, intraoperative navigation, and real-time decision-making. CONCLUSIONS: The integration of 3DVMs and AR technologies in urological oncology, particularly in the context of RP, has shown promising advancements. These technologies provide crucial support in preoperative planning, intraoperative navigation, and real-time decision-making, significantly improving the visualization of complex anatomical structures helping in the nerve sparing (NS) approach modulation and reducing positive surgical margin (PSM) rate. Despite positive outcomes, challenges such as small patient cohorts, lack of standardized methodologies, and concerns about costs and technology adoption persist.

Metaverse in surgery - origins and future potential.

The metaverse refers to a collective virtual space that combines physical and digital realities to create immersive, interactive environments. This space is powered by technologies such as augmented reality (AR), virtual reality (VR), artificial intelligence (AI) and blockchain. In healthcare, the metaverse can offer many applications. Specifically in surgery, potential uses of the metaverse include the possibility of conducting immersive surgical training in a VR or AR setting, and enhancing surgical planning through the adoption of three-dimensional virtual models and simulated procedures. At the intraoperative level, AR-guided surgery can assist the surgeon in real time to increase surgical precision in tumour identification and selective management of vessels. In post-operative care, potential uses of the metaverse include recovery monitoring and patient education. In urology, AR and VR have been widely explored in the past decade, mainly for surgical navigation in prostate and kidney cancer surgery, whereas only anecdotal metaverse experiences have been reported to date, specifically in partial nephrectomy. In the future, further integration of AI will improve the metaverse experience, potentially increasing the possibility of carrying out surgical navigation, data collection and virtual trials within the metaverse. However, challenges concerning data security and regulatory compliance must be addressed before the metaverse can be used to improve patient care.

Lower Urinary Tract Symptoms Correlate with Erectile Dysfunction and Premature Ejaculation but Not with Men's Sexual Activity: Results from a Large Population-Representative Study.

BACKGROUND: Lower urinary tract symptoms (LUTS) contribute to erectile dysfunction (ED) and premature ejaculation (PE). However, only a few studies have been conducted with representative groups of men that had well-balanced demographic characteristics. Thus, we aimed to confirm the effect of LUTS on ED and PE and to analyze the association between LUTS and men's sexual activity in a large representative cohort. In addition, we evaluated the sex-specific and overall quality of life of men who had LUTS with either ED or PE. METHODS: We used the latest census and estimated the sample size to build a group of men representative of the population. LUTS, ED, and PE were evaluated with reliable instruments. Regression models were used to analyze the data. RESULTS: All included men were representative in relation to their age and residential location (n = 3001). ED and PE were more common in men who reported LUTS compared with men who did not have LUTS (p < 0.001). Age, comorbidity, and lifestyle did not affect the negative effect of LUTS on ED or PE (regression coefficients of 0.159 and 0.528 for ED and PE, respectively, p < 0.001). However, regression models did not validate the impact of LUTS on sexual activity, defined by intercourse frequency and number of sexual partners (odds ratio of 0.981, CI 0.961-1.001, p = 0.061). Nevertheless, men with LUTS and either ED or PE had worse quality of sexual life and general quality of life compared with the remaining respondents. CONCLUSION: LUTS worsened ED and PE but had no impact on men's sexual activity. Our findings confirm the recommendations to assess for LUTS in men reporting ED or PE. CLINICAL TRIAL REGISTRATION: The study was registered with ClinicalTrials.gov (NCT05462171).

Urinary PSA-ZINC biomarker outperforms standard of care in early detection of prostate cancer.

BACKGROUND: Urine is a promising biological fluid for prostate cancer (PCa) diagnostics due to its non-invasive collection and wide range of biomarkers. The aim of this study was to assess the role of urinary PSA (uPSA) and urinary Zinc (uZinc) as biomarkers for the diagnosis of PCa in combination with routine parameters of standard of care (SOC - blood PSA, abnormal DRE, age) and MRI in patients candidates for prostate biopsy. METHODS: Urine samples after prostatic massages were collected from men with suspected PCa scheduled for prostate biopsy. Quantification of uPSA was performed by ECLIA platform and confirmed by ELISA assay, while uZinc measurement was evaluated by ICP-MS and confirmed by colorimetric in vitro assay. Six multivariate logistic regression analysis were performed to assess diagnostic performance of uPSA and uZinc (urine), SOC and MRI alone, and combination of MRI+SOC, MRI+urine and SOC+MRI+urine. The discriminative power of the logistic models was assessed by calculating the area under the receiver operating characteristic (ROC) curves (AUC). RESULTS: Two hundred thirty-eight patients were included in the analysis; 145 of them were diagnosed with PCa. Urine test showed a better discrimination of HS from CP, in respect of uPSA and uZinc alone, both for PCa of any grade and Gleason Score ≥7 (4+3) (AUC 0.804 and 0.823 respectively). ROC curve combining SOC+MRI+urine showed an AUC=0.882, that is statistically different from SOC or MRI alone, or MRI+SOC (P=0.0001, P=0.0001, and P=0.008 respectively). PCa risk algorithm designed considering SOC+MRI+urine results in potential reduction of 57% of unnecessary biopsies compared to the current standard parameters. CONCLUSIONS: The loss of uPSA and Zinc production and secretion during neoplastic transformation of the prostate could potentially represent a hallmark of PCa. Its combination with age, PSA and DRE, as well as with mpMRI could represent an interesting approach to improve the diagnostic accuracy of PCa.

Ten-year functional and oncological outcomes of a prospective randomized controlled trial comparing laparoscopic versus robot-assisted radical prostatectomy.

BACKGROUND: Among prostate cancer (PCa) treatment options, mini-invasive surgical approaches have gained a wide diffusion in the last decades. The aim of this study was to present oncological, functional, and quality of life data after 10 years of follow-up of a prospective randomized controlled trial (RCT) (ISRCTN11552140) comparing robot-assisted radical prostatectomy (RARP) versus laparoscopic radical prostatectomy (LRP) for the treatment of PCa. METHODS: Patients with localized PCa were randomized to undergo LRP or RARP between January 2010 and January 2011. Functional (continence and potency) and oncological (prostate-specific antigen, biochemical recurrence [BCR] and BCR-free survival [BCRFS]) variables were evaluated. BCRFS curves were estimated by the Kaplan-Meier method and compared using the log-rank test. Machine learning partial least square-discriminant analysis (PLS-DA) was used to identify the variables characterizing more the patients who underwent RARP or LRP. RESULTS: Seventy-five of the originally enrolled 120 patients remained on follow-up for 10 years; 40 (53%) underwent RARP and 35 (47%) LRP. Continence and potency recovery rates did not show significant differences (p = 0.068 and p = 0.56, respectively), despite a Δ12% for continence and Δ8% for potency in favor of the robotic approach. However, the quality of continence (in terms of International Consultation on Incontinence Questionnaire-Short Form [ICIQ-SF] score) and erection (in terms of International Index of Erectile Function-5 [IIEF-5] score) was significantly better after 10 years in the robotic group (p = 0.02 and p < 0.001). PLS-DA revealed that LRP was characterized by the worst functional-related outcomes analyzing the entire follow-up period. Four (10%) and six (17%) patients experienced BCR in RARP and LRP groups, respectively (p = 0.36), with an overall 10-year BCR-free survival of 88% and 78% (p = 0.16). CONCLUSIONS: Comparable continence and potency rates were observed between RARP and LRP after a 10-year follow-up. However, the RARP group exhibited superior totally dry rate and erection quality. No difference in terms of oncological outcomes was found.

Visual extended reality tools in image-guided surgery in urology: a systematic review.

PURPOSE: The aim of this systematic review is to assess the clinical implications of employing various Extended Reality (XR) tools for image guidance in urological surgery. METHODS: In June 2023, a systematic electronic literature search was conducted using the Medline database (via PubMed), Embase (via Ovid), Scopus, and Web of Science. The search strategy was designed based on the PICO (Patients, Intervention, Comparison, Outcome) criteria. Study protocol was registered on PROSPERO (registry number CRD42023449025). We incorporated retrospective and prospective comparative studies, along with single-arm studies, which provided information on the use of XR, Mixed Reality (MR), Augmented Reality (AR), and Virtual Reality (VR) in urological surgical procedures. Studies that were not written in English, non-original investigations, and those involving experimental research on animals or cadavers were excluded from our analysis. The quality assessment of comparative and cohort studies was conducted utilizing the Newcastle-Ottawa scale, whilst for randomized controlled trials (RCTs), the Jadad scale was adopted. The level of evidence for each study was determined based on the guidelines provided by the Oxford Centre for Evidence-Based Medicine. RESULTS: The initial electronic search yielded 1,803 papers after removing duplicates. Among these, 58 publications underwent a comprehensive review, leading to the inclusion of 40 studies that met the specified criteria for analysis. 11, 20 and 9 studies tested XR on prostate cancer, kidney cancer and miscellaneous, including bladder cancer and lithiasis surgeries, respectively. Focusing on the different technologies 20, 15 and 5 explored the potential of VR, AR and MR. The majority of the included studies (i.e., 22) were prospective non-randomized, whilst 7 and 11 were RCT and retrospective studies respectively. The included studies that revealed how these new tools can be useful both in preoperative and intraoperative setting for a tailored surgical approach. CONCLUSIONS: AR, VR and MR techniques have emerged as highly effective new tools for image-guided surgery, especially for urologic oncology. Nevertheless, the complete clinical advantages of these innovations are still in the process of evaluation.

Development of Machine Learning Algorithm to Predict the Risk of Incontinence After Robot-Assisted Radical Prostatectomy.

Introduction: Predicting postoperative incontinence beforehand is crucial for intensified and personalized rehabilitation after robot-assisted radical prostatectomy. Although nomograms exist, their retrospective limitations highlight artificial intelligence (AI)'s potential. This study seeks to develop a machine learning algorithm using robot-assisted radical prostatectomy (RARP) data to predict postoperative incontinence, advancing personalized care. Materials and Methods: In this propsective observational study, patients with localized prostate cancer undergoing RARP between April 2022 and January 2023 were assessed. Preoperative variables included age, body mass index, prostate-specific antigen (PSA) levels, digital rectal examination (DRE) results, Gleason score, International Society of Urological Pathology grade, and continence and potency questionnaires responses. Intraoperative factors, postoperative outcomes, and pathological variables were recorded. Urinary continence was evaluated using the Expanded Prostate cancer Index Composite questionnaire, and machine learning models (XGBoost, Random Forest, Logistic Regression) were explored to predict incontinence risk. The chosen model's SHAP values elucidated variables impacting predictions. Results: A dataset of 227 patients undergoing RARP was considered for the study. Post-RARP complications were predominantly low grade, and urinary continence rates were 74.2%, 80.7%, and 91.4% at 7, 13, and 90 days after catheter removal, respectively. Employing machine learning, XGBoost proved the most effective in predicting postoperative incontinence risk. Significant variables identified by the algorithm included nerve-sparing approach, age, DRE, and total PSA. The model's threshold of 0.67 categorized patients into high or low risk, offering personalized predictions about the risk of incontinence after surgery. Conclusions: Predicting postoperative incontinence is crucial for tailoring rehabilitation after RARP. Machine learning algorithm, particularly XGBoost, can effectively identify those variables more heavily, impacting the outcome of postoperative continence, allowing to build an AI-driven model addressing the current challenges in post-RARP rehabilitation.

Treatment preferences of patients with erectile dysfunction: a systematic review of randomized controlled trials.

INTRODUCTION: Patients' treatment preferences (PTP) depend on the complex interaction of numerous patient- and treatment-related factors; their assessment can guide therapy and promote compliance of patients with erectile dysfunction (ED). We aimed to systematically describe the literature evaluating the treatment preferences of patients with ED, published in the last 25 years. EVIDENCE ACQUISITION: A comprehensive bibliographic search of multiple databases was conducted in June, 2023. The literature search was limited to the articles published since 1998. Articles were deemed eligible if they described male patients with ED (P) undergoing treatment for this condition (I) compared with other treatments, placebo or sham therapy (C), and reported PTP (O). Only randomized controlled trials (RCTs) and post-hoc analyses of RCTs were selected (S). The data were presented in a narrative fashion. The risk of bias (RoB) was evaluated using the RoB 2 tool and the Mulhall-Montorsi model. EVIDENCE SYNTHESIS: A total 14 RCTs evaluating 6,841 patients and 4 post-hoc analyses of RCTs were included. All RCTs were considered to be at high RoB. No validated tool was used to investigate PTP. Sildenafil was the most frequently evaluated ED treatment (9 RCTs). Sildenafil was chosen over placebo by 78-100% of subjects and over ICI in 70% of patients due to its easier route of administration. No significant difference in patient preference was recorded between Sildenafil tablets and orodispersible (53% vs. 47%, P>0.05). Tadalafil was preferred over Sildenafil by 66-73% of patients (P<0.05), mainly because it allowed an erection long after taking the drug (55-67%). Tadalafil as-needed was chosen over Tadalafil 3 times/week by 57-59% of the patients (P<0.05). CONCLUSIONS: The available RCTs support the preference of ED patients for Sildenafil over ICI, Tadalafil over Sildenafil, and Tadalafil as-needed over Tadalafil 3 times/week. However, these findings should be considered at high RoB.

Robotic Vena Cava Thrombectomy with Three-dimensional Augmented Reality Guidance.

Robotic surgery has recently been used for treatment of renal cell carcinoma (RCC) and neoplastic thrombus located in the renal vein or inferior vena cava (IVC). Accurate identification of the thrombus location is crucial, and three-dimensional augmented reality (3D AR) may be valuable in achieving this. We enrolled patients with nonmetastatic RCC and level 0-I venous thrombus (Mayo Clinic classification) for robot-assisted radical nephrectomy and thrombectomy with 3D AR guidance. Five patients were prospectively enrolled; three had a level 0 thrombus and two had a level I thrombus. The mean operative time was 123 ± 15 min, mean IVC clamping time was 9.4 ± 6.8 min, and mean estimated blood loss was 750 ± 150 ml. The AR system allowed precise estimation of the thrombus location in all cases. No intraoperative complications or postoperative Clavien-Dindo grade >2 complications occurred. Use of 3D AR guidance allowed correct estimation of the limits of the thrombus and guided the surgeon in selecting an appropriate surgical strategy.

Automatic 3D Augmented-Reality Robot-Assisted Partial Nephrectomy Using Machine Learning: Our Pioneer Experience.

The aim of "Precision Surgery" is to reduce the impact of surgeries on patients' global health. In this context, over the last years, the use of three-dimensional virtual models (3DVMs) of organs has allowed for intraoperative guidance, showing hidden anatomical targets, thus limiting healthy-tissue dissections and subsequent damage during an operation. In order to provide an automatic 3DVM overlapping in the surgical field, we developed and tested a new software, called "ikidney", based on convolutional neural networks (CNNs). From January 2022 to April 2023, patients affected by organ-confined renal masses amenable to RAPN were enrolled. A bioengineer, a software developer, and a surgeon collaborated to create hyper-accurate 3D models for automatic 3D AR-guided RAPN, using CNNs. For each patient, demographic and clinical data were collected. A total of 13 patients were included in the present study. The average anchoring time was 11 (6-13) s. Unintended 3D-model automatic co-registration temporary failures happened in a static setting in one patient, while this happened in one patient in a dynamic setting. There was one failure; in this single case, an ultrasound drop-in probe was used to detect the neoplasm, and the surgery was performed under ultrasound guidance instead of AR guidance. No major intraoperative nor postoperative complications (i.e., Clavien Dindo > 2) were recorded. The employment of AI has unveiled several new scenarios in clinical practice, thanks to its ability to perform specific tasks autonomously. We employed CNNs for an automatic 3DVM overlapping during RAPN, thus improving the accuracy of the superimposition process.

Overactive bladder negatively affects erectile function and promotes premature ejaculation: findings from large representative population-level study.

PURPOSE: The effect of overactive bladder (OAB) on sexual health has been evaluated extensively for women but much less for men. Therefore, the aim of this study was to evaluate the relationship between OAB and men's sexual activity and the effect of OAB on erectile dysfunction (ED) and premature ejaculation (PE) in a large representative cohort of men at the population level. METHODS: This study was based on computer-assisted web interviews that used validated questionnaires. The most recent census and the sample size estimation calculations were employed to produce a population-representative pool. RESULTS: The study included 3001 men, representative of the population in terms of age and place of residence. The frequency of sexual intercourse was higher for respondents without OAB symptoms compared with persons who had OAB (p = 0.001), but there was no association between OAB symptoms and number of sexual partners (p = 0.754). Regression models did not confirm the effect of OAB on sexual activity (odds ratio 0.993, CI 0.974-1.013, p = 0.511). Both ED and PE were more prevalent in respondents with OAB symptoms compared with persons who lacked those symptoms (p < 0.001). Importantly, the effect of OAB on ED or PE was independent of age, comorbidities, and lifestyle habits (regression coefficients of 0.13 and 0.158 for ED and PE, respectively). CONCLUSION: Overactive bladder did not significantly affect men's sexual activity, but it significantly correlated with ED and PE. Our results suggest a need in daily clinical practice to screen for OAB symptoms for persons who report ED or PE.

Computer Vision and Machine-Learning Techniques for Automatic 3D Virtual Images Overlapping During Augmented Reality Guided Robotic Partial Nephrectomy.

OBJECTIVES: The research's purpose is to develop a software that automatically integrates and overlay 3D virtual models of kidneys harboring renal masses into the Da Vinci robotic console, assisting surgeon during the intervention. INTRODUCTION: Precision medicine, especially in the field of minimally-invasive partial nephrectomy, aims to use 3D virtual models as a guidance for augmented reality robotic procedures. However, the co-registration process of the virtual images over the real operative field is performed manually. METHODS: In this prospective study, two strategies for the automatic overlapping of the model over the real kidney were explored: the computer vision technology, leveraging the super-enhancement of the kidney allowed by the intraoperative injection of Indocyanine green for superimposition and the convolutional neural network technology, based on the processing of live images from the endoscope, after a training of the software on frames from prerecorded videos of the same surgery. The work-team, comprising a bioengineer, a software-developer and a surgeon, collaborated to create hyper-accuracy 3D models for automatic 3D-AR-guided RAPN. For each patient, demographic and clinical data were collected. RESULTS: Two groups (group A for the first technology with 12 patients and group B for the second technology with 8 patients) were defined. They showed comparable preoperative and post-operative characteristics. Concerning the first technology the average co-registration time was 7 (3-11) seconds while in the case of the second technology 11 (6-13) seconds. No major intraoperative or postoperative complications were recorded. There were no differences in terms of functional outcomes between the groups at every time-point considered. CONCLUSION: The first technology allowed a successful anchoring of the 3D model to the kidney, despite minimal manual refinements. The second technology improved kidney automatic detection without relying on indocyanine injection, resulting in better organ boundaries identification during tests. Further studies are needed to confirm this preliminary evidence.

Metaverse Surgical Planning with Three-dimensional Virtual Models for Minimally Invasive Partial Nephrectomy.

The recent integration of new virtual visualization modalities with artificial intelligence and high-speed internet connection has opened the door to the advent of the metaverse in medicine. In this totally virtual environment, three-dimensional virtual models (3DVMs) of the patient's anatomy can be visualized and discussed via digital avatars. Here we present for the first time a metaverse preoperative clinical case discussion before minimally invasive partial nephrectomy. The surgeons' digital avatars met in a virtual room and participated in a virtual consultation on the surgical strategy and clamping approach before the procedure. Robotic or laparoscopic procedures are then carried out according to the simulated surgical strategy. We demonstrate how this immersive virtual reality experience overcomes the barriers of distance and how the quality of surgical planning is enriched by a great sense of "being there", even if virtually. Further investigation will improve the quality of interaction with the models and among the avatars.