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.

Three-dimensional virtual models assistance predicts higher rates of "successful" minimally invasive partial nephrectomy: an Institutional analysis across the available trifecta definitions.

PURPOSE: 3D virtual models (3DVMs) are nowadays under scrutiny to improve partial nephrectomy (PN) outcomes. Five different Trifecta definitions have been proposed to optimize the framing of "success" in the PN field. Our aim is to analyze if the use of 3DVMs could impact the success rate of minimally invasive PN (mi-PN), according to the currently available definitions of Trifecta. MATERIALS AND METHODS: At our Institution 250 cT1-2N0M0 renal masses patients treated with mi-PN were prospectively enrolled. Inclusion criteria were the availability of contrast-enhanced CT, baseline and postoperative serum creatinine, and eGFR. These patients were then compared with a control group of 710 patients who underwent mi-PN with the same renal function assessments, but without 3DVMs. Multivariable logistic regression (MLR) models were used to predict the trifecta achievement according to the different trifecta definitions. RESULTS: Among the definitions, Trifecta rates ranged between 70.8% to 97.4% in the 3DVM group vs. 56.8% to 92.8% in the control group (all p values < 0.05). 3DVMs showed better postoperative outcomes in terms of ΔeGFR, ( - 16.6% vs. - 2.7%, p = 0.03), postoperative complications (15%, vs 22.9%, p = 0.002) and major complications (Clavien Dindo > 3, 2.8% vs 5.6%, p = 0.03). At MLR 3DVMs assistance independently predicted higher rates of successful PN across all the available definitions of Trifecta (OR: 2.7 p < 0.001, OR:2.0 p = 0.0008, OR:2.8 p = 0.02, OR 2.0 p = 0.003). CONCLUSIONS: The 3DVMs availability was found to be the constant predictive factor of successful PN, with a twofold higher probability of achieving Trifecta regardless of the different definitions available in Literature.

Treatment of Ureteral Stent-Related Symptoms.

BACKGROUND: The aim of the study was to assess the effectiveness of the main classes of drugs used at reducing morbidity related to ureteric stents. SUMMARY: After establishing a priori protocol, a systematic electronic literature search was conducted in July 2019. The randomized clinical trials (RCTs) selection proceeded in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) guidelines and was registered (PROSPERO ID 178130). The risk of bias and the quality assessment of the included RCTs were performed. Ureteral Stent Symptom Questionnaire (USSQ), International Prostate Symptom Score (IPSS), and quality of life (QoL) were pooled for meta-analysis. Mean difference and risk difference were calculated as appropriate for each outcome to determine the cumulative effect size. Fourteen RCTs were included in the analysis accounting for 2,842 patients. Alpha antagonist, antimuscarinic, and phosphodiesterase (PDE) inhibitors significatively reduced all indexes of the USSQ, the IPSS and QoL scores relative to placebo. Conversely, combination therapy (alpha antagonist plus antimuscarinic) showed in all indexes of the USSQ, IPSS, and QoL over alpha antagonist or antimuscarinic alone. On comparison with alpha blockers, PDE inhibitors were found to be equally effective for urinary symptoms, general health, and body pain parameters, but sexual health parameters improved significantly with PDE inhibitors. Finally, antimuscarinic resulted in higher decrease in all indexes of the USSQ, the IPSS, and QoL relative to alpha antagonist. KEY MESSAGE: Relative to placebo, alpha antagonist alone, antimuscarinics alone, and PDE inhibitors alone have beneficial effect in reducing stent-related symptoms. Furthermore, there are significant advantages of combination therapy compared with monotherapy. Finally, PDE inhibitors are comparable to alpha antagonist, and antimuscarinic seems to be more effective than alpha antagonist alone.

The impact of 3D models on positive surgical margins after robot-assisted radical prostatectomy.

PURPOSE: To evaluate the role of 3D models on positive surgical margin rate (PSM) rate in patients who underwent robot-assisted radical prostatectomy (RARP) compared to a no-3D control group. Secondarily, we evaluated the postoperative functional and oncological outcomes. METHODS: Prospective study enrolling patients with localized prostate cancer (PCa) undergoing RARP with mp-MRI-based 3D model reconstruction, displayed in a cognitive or augmented-reality fashion, at our Centre from 01/2016 to 01/2020. A control no-3D group was extracted from the last two years of our Institutional RARP database. PSMr between the two groups was evaluated and multivariable linear regression (MLR) models were applied. Finally, Kaplan-Meier estimator was used to calculate biochemical recurrence at 12 months after the intervention. RESULTS: 160 patients were enrolled in the 3D Group, while 640 were selected for the Control Group. A more conservative NS approach was registered in the 3D Group (full NS 20.6% vs 12.7%; intermediate NS 38.1% vs 38.0%; standard NS 41.2% vs 49.2%; p = 0.02). 3D Group patients had lower PSM rates (25 vs. 35.1%, p = 0.01). At MLR models, the availability of 3D technology (p = 0.005) and the absence of extracapsular extension (ECE, p = 0.004) at mp-MRI were independent predictors of lower PSMr. Moreover, 3D model represented a significant protective factor for PSM in patients with ECE or pT3 disease. CONCLUSION: The availability of 3D models during the intervention allows to modulate the NS approach, limiting the occurrence of PSM, especially in patients with ECE at mp-MRI or pT3 PCa.

Anastomosis quality score during robot-assisted radical prostatectomy: a new simple tool to maximize postoperative management.

PURPOSE: The urethro-vesical anastomosis represents one of the most challenging steps of robotic prostatectomy (RARP). To maximize postoperative management, we specifically designed our anastomosis quality score (AQS), based on the intraoperative characteristics of the urethra and bladder neck. METHODS: This is a prospective study, conducted from April 2019 to March 2020. All the patients were classified into three different AQS categories (low, intermediate, high) based on the quality of the anastomosis. The postoperative management was modulated accordingly. RESULTS: We enrolled 333 patients. According to AQS, no differences were recorded in intraoperative complications (p = 0.9). Median hospital stay and catheterization time were longer in AQS 1 group (p < 0.001). Additionally, the occurrence of postoperative complication was higher in AQS 1 category (p = 0.002) but, when focusing on the complications related to the quality of the anastomosis, no differences were found neither for acute urinary retention (p = 0.12) nor urine leakage (p = 0.11). Finally, concerning the continence recovery, no significant differences were found among the three groups for each time point. The highest potency recovery rate at one month of follow-up was recorded in AQS 3 category (p = 0. 03). CONCLUSION: The AQS proposed revealed to be a valid too to intraoperatively categorize patients who underwent RARP on the basis of the urethral and bladder neck features. The modulated postoperative management for each specific score category allowed to limit the occurrence of complications and to maximize the functional outcomes.

Implementing telemedicine for the management of benign urologic conditions: a single centre experience in Italy.

PURPOSE: To assess the use of telemedicine with phone-call visits as a practical tool to follow-up with patients affected by urological benign diseases, whose clinic visits had been cancelled during the acute phase of the COVID-19 pandemic. METHODS: Patients were contacted via phone-call and a specific questionnaire was administered to evaluate the health status of these patients and to identify those who needed an "in-person" ambulatory visit due to the worsening of their condition. Secondarily, the patients' perception of a potential shift towards a "telemedicine" approach to the management of their condition and to indirectly evaluate their desire to return to "in-person" clinic visits. RESULTS: 607 were contacted by phone-call. 87.5% (531/607) of the cases showed stability of the symptoms so no clinic in-person or emergency visits were needed. 81.5% (495/607) of patients were more concerned about the risk of contagion than their urological condition. The median score for phone visit comprehensibility and ease of communication of exams was 5/5; whilst patients' perception of phone visits' usefulness was scored 4/5. 53% (322/607) of the interviewees didn't own the basic supports required to be able to perform a real telemedicine consult according to the required standards. CONCLUSION: Telemedicine approach limits the number of unnecessary accesses to medical facilities and represents an important tool for the limitation of the risk of transmission of infectious diseases, such as COVID-19. However, infrastructures, health workers and patients should reach out to a computerization process to allow a wider diffusion of more advanced forms of telemedicine, such as televisit.

Applications of neural networks in urology: a systematic review.

PURPOSE OF REVIEW: Over the last decade, major advancements in artificial intelligence technology have emerged and revolutionized the extent to which physicians are able to personalize treatment modalities and care for their patients. Artificial intelligence technology aimed at mimicking/simulating human mental processes, such as deep learning artificial neural networks (ANNs), are composed of a collection of individual units known as 'artificial neurons'. These 'neurons', when arranged and interconnected in complex architectural layers, are capable of analyzing the most complex patterns. The aim of this systematic review is to give a comprehensive summary of the contemporary applications of deep learning ANNs in urological medicine. RECENT FINDINGS: Fifty-five articles were included in this systematic review and each article was assigned an 'intermediate' score based on its overall quality. Of these 55 articles, nine studies were prospective, but no nonrandomized control trials were identified. SUMMARY: In urological medicine, the application of novel artificial intelligence technologies, particularly ANNs, have been considered to be a promising step in improving physicians' diagnostic capabilities, especially with regards to predicting the aggressiveness and recurrence of various disorders. For benign urological disorders, for example, the use of highly predictive and reliable algorithms could be helpful for the improving diagnoses of male infertility, urinary tract infections, and pediatric malformations. In addition, articles with anecdotal experiences shed light on the potential of artificial intelligence-assisted surgeries, such as with the aid of virtual reality or augmented reality.

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.

Development of a novel nomogram to identify the candidate to extended pelvic lymph node dissection in patients who underwent mpMRI and target biopsy only.

BACKGROUND: Nowadays a tool able to predict the risk of lymph-node invasion (LNI) in patients underwent target biopsy (TB) only before radical prostatectomy (RP) is still lacking. Our aim is to develop a model based on mp-MRI and target biopsy (TB) alone able to predict the risk of LNI. METHODS: We retrospectively extracted data of patients with preoperative positive mp-MRI and TB only who underwent RARP with ePLND from April 2014 to March 2020. A logistic regression model was performed to evaluate the impact of pre- and intra-operative factors on the risk of LNI. Model discrimination was assessed using an area under (AUC) the ROC curve. A nomogram, and its calibration plot, to predict the risk of LNI were generated based on the logistic model. A validation of the model was done using a similar cohort. RESULTS: 461 patients were included, of which 52 (11.27) had LNI. After logistic regression analysis and multivariable model DRE, PI-RADS, seminal vesicle invasion, PSA and worst GS at I and II target lesions were significant predictors of LNI. The AUC was 0.74 [0.67-0.81] 95% CI. The calibration plot shows that our model is very close to the ideal one which is in the 95% CI. After the creation of a visual nomogram, the cut-off to discriminate between the risk or not of LNI was set with Youden index at 60 points that correspond to a risk of LNI of 7%. The model applied on a similar cohort shown a LH+ of 2.58 [2.17-2.98] 95% CI. CONCLUSIONS: Our nomogram for patients undergoing MRI-TB only takes into account clinical stage, SVI at MRI, biopsy Gleason pattern and PSA and it is able to identify patients with risk of LNI when a score higher than 7% is achieved.

Machine-Learning-Based Tool to Predict Target Prostate Biopsy Outcomes: An Internal Validation Study.

The aim of this study is to present a personalized predictive model (PPM) with a machine learning (ML) system that is able to identify and classify patients with suspected prostate cancer (PCa) following mpMRI. We extracted all the patients who underwent fusion biopsy (FB) from March 2014 to December 2019, while patients from August 2020 to April 2021 were included as a validation set. The proposed system was based on the following four ML methods: a fuzzy inference system (FIS), the support vector machine (SVM), k-nearest neighbors (KNN), and self-organizing maps (SOMs). Then, a system based on fuzzy logic (FL) + SVM was compared with logistic regression (LR) and standard diagnostic tools. A total of 1448 patients were included in the training set, while 181 patients were included in the validation set. The area under the curve (AUC) of the proposed FIS + SVM model was comparable with the LR model but outperformed the other diagnostic tools. The FIS + SVM model demonstrated the best performance, in terms of negative predictive value (NPV), on the training set (78.5%); moreover, it outperformed the LR in terms of specificity (92.1% vs. 83%). Considering the validation set, our model outperformed the other methods in terms of NPV (60.7%), sensitivity (90.8%), and accuracy (69.1%). In conclusion, we successfully developed and validated a PPM tool using the FIS + SVM model to calculate the probability of PCa prior to a prostate FB, avoiding useless ones in 15% of the cases.

A prospective randomized controlled trial comparing target prostate biopsy alone approach vs. target plus standard in naïve patients with positive mpMRI.

BACKGROUND: In the era of mpMRI guided target fusion biopsy (FB), the role of concomitant standard biopsy (SB) in naïve patients still remains under scrutiny. The aim of this study was to compare the detection rate (DR) of clinically significant prostate cancer (csPCa) in biopsy naïve patients with positive mpMRI who underwent FB alone (Arm A) vs FB+SB (Arm B). Secondary objectives were to compare the incidence of complications, the overall PCa DR and the biopsy results with final pathological findings after robotic prostatectomy (RARP). METHODS: This is a single center prospective non-inferiority parallel two arms (1:1) randomized control trial (ISRCTN registry number ISRCTN60263108) which took place at San Luigi Gonzaga University Hospital, Orbassano (Turin, Italy) from 4/2019 to 10/2021. Eligible participants were all adults aged<75 years old, biopsy naïve, with serum PSA<15 ng/mL and positive mpMRI (Pi-Rads V.2>3). FB was performed under ultrasound guidance using the BioJet fusion system; four to six target samples were obtained for each index lesion. SB was performed in accordance with the protocol by Rodríguez-Covarrubias. RARP with total anatomical reconstruction was carried out when indicated. DR of PCa and csPCA (Gleason Score >7) were evaluated. Post-biopsy complications according to Clavien-Dindo were recorded. Concordance between biopsy and RARP pathological findings was evaluated. Fisher's Exact test and Mann-Whitney test were applied; furthermore, Logistic Principal Component Analysis (LogPCA) and Pearson's correlation method, in terms of correlation funnel plots, were performed to explore data in a multivariate way. RESULTS: 201 and 193 patients were enrolled in Arm A and B, respectively. csPCa DR was 60.2% vs. 60.6% in Arm A and B respectively (Δ 0.4%; P=0.93); whilst overall PCa DR was 63.7% vs. 71.0% (Δ 7.3%; P=0.12). However, in a target only setting, the addition of SB homolaterally to the index lesion reaching a non-inferior performance compared to the combined sampling (Δ PCa DR 3%). Although the differences of 7.3% in PCa DR, during RARP were registered similar nerve sparing rate (P=0.89), positive surgical margins (P=0.67) and rate of significant upgrading (P=0.12). LogPCA model showed no distinction between the two cohorts; and Pearson's correlation values turned to be between -0.5 and +0.5. In Arm B, the lesion diameter <10 mm is the only predictive variable of positive SB only for PCa (P=0.04), with an additional value +3% for PCa DR. CONCLUSIONS: In biopsy naïve patients, FB alone is not inferior to FB+SB in detecting csPCa (Δ csPCa DR 0.4%). Δ 7.3% in overall PCa DR was registered between the two Arms, however the addition of further standard samples homolaterally to mp-MRI index lesion improved the overall PCa DR of FB only sampling (Δ PCa DR 3%). The omission of SB did not influence the post-surgical outcomes in terms of NS approach, PSMr and upgrading/downgrading.

Artificial intelligence for target prostate biopsy outcomes prediction the potential application of fuzzy logic.

BACKGROUND: In current precision prostate cancer (PCa) surgery era the identification of the best patients candidate for prostate biopsy still remains an open issue. The aim of this study was to evaluate if the prostate target biopsy (TB) outcomes could be predicted by using artificial intelligence approach based on a set of clinical pre-biopsy. METHODS: Pre-biopsy characteristics in terms of PSA, PSA density, digital rectal examination (DRE), previous prostate biopsies, number of suspicious lesions at mp-MRI, lesion volume, lesion location, and Pi-Rads score were extracted from our prospectively maintained TB database from March 2014 to December 2019. Our approach is based on Fuzzy logic and associative rules mining, with the aim to predict TB outcomes. RESULTS: A total of 1448 patients were included. Using the Frequent-Pattern growth algorithm we extracted 875 rules and used to build the fuzzy classifier. 963 subjects were classified whereas for the remaining 484 subjects were not classified since no rules matched with their input variables. Analyzing the classified subjects we obtained a specificity of 59.2% and sensitivity of 90.8% with a negative and the positive predictive values of 81.3% and 76.6%, respectively. In particular, focusing on ISUP ≥ 3 PCa, our model is able to correctly predict the biopsy outcomes in 98.1% of the cases. CONCLUSIONS: In this study we demonstrated that the possibility to look at several pre-biopsy variables simultaneously with artificial intelligence algorithms can improve the prediction of TB outcomes, outclassing the performance of PSA, its derivates and MRI alone.

Three-dimensional Virtual Models' Assistance During Minimally Invasive Partial Nephrectomy Minimizes the Impairment of Kidney Function.

Three-dimensional virtual models (3DVMs) are nowadays under scrutiny to improve partial nephrectomy (PN) outcomes. This report aims to analyze their impact on renal function preservation after minimally invasive PN. A total of 100 patients treated with minimally invasive PN with contrast-enhanced computed tomography from which a 3DVM was obtained, and having undergone baseline and 3rd month postoperative renal scans were prospectively enrolled and compared with a control group of 251 patients without 3DVMs. Weighted differential of pre- and postoperative renal scan-based effective renal plasmatic flow (b-WD ERPF) was calculated, according to the availability of 3DVMs and PADUA risk category. Multivariable logistic regression (MLR) models predicting a significant loss of renal function (LORF; ERPF drop >20%) were performed, overall and according to PADUA risk categories. The b-WD ERPF of the 3DVM group showed significantly lower LORF (-10%) than that of the control group (-19.6%, p = 0.02). In MLR, the availability of a 3DVM was found to be the only protective factor against a significant LORF (odds ratio [OR] = 0.3, p = 0.002). Moreover, after stratification as per tumor surgical complexity, this protective role was observed in both PADUA 8-9 and ≥10 category risk patients (OR = 0.3, p = 0.03 and OR = 0.1, p = 0.01). PATIENT SUMMARY: The drop in operated kidney function was significantly lower in surgeries assisted by three-dimensional virtual models (3VDMs), indicating that the availability of a 3VDM is the only protective factor against a significant functional damage.

3D imaging technologies in minimally invasive kidney and prostate cancer surgery: which is the urologists' perception?

BACKGROUND: Many specific 3D imaging technologies are currently available for the practising urologists. The aim of the study was to assess their perception about different 3D imaging tools in the field of prostate and kidney cancer surgery. METHODS: All the attendees of the 8th Techno-Urology-Meeting were asked to fill a questionnaire regarding the role of 3D virtual reconstruction PDFs, 3D printing models, augmented-reality (AR) and mixed reality technology in the setting of surgical planning, patient counselling, intraoperative guidance and training for kidney and prostate cancer surgery; Moreover the different materials used for 3D printing were compared to assess the most suitable in reproducing the organ and tumor features, as well as their estimated cost and production time. RESULTS: The population consisted of 180 attendees. Overall, AR was the preferred option for intraoperative guidance and training, in both prostate (55% and 38.3%) and kidney cancer surgery (58.3% and 40%). HoloLens (Microsoft Corp., Redmond, WA, USA) was perceived as the best imaging technology for the surgical planning (50% for prostate and 60% for kidney), whereas printed models for patients counselling (66.7% for prostate and 61.7% for kidney). Fused deposition models were deemed as the best printing technology in representing kidney anatomy and renal tumor location (40%), while silicon (46.7%) and Polyjet (36.7%) models for prostate anatomy and cancer location. Finally, attendees demonstrated poor knowledge of 3D printing costs and production times. CONCLUSIONS: Our study shows the perceptions of a heterogeneous surrogate of practicing urologists about the role and potential applications of 3D imaging technologies in daily surgical practice.

Robot-assisted-radical-cystectomy with total intracorporeal Y neobladder: Analysis of postoperative complications and functional outcomes with urodynamics findings.

OBJECTIVES: To describe our robotic Y intracorporeal neobladder (ICNB) technique and to report its post-operative complications and urodynamics (UD) findings. SUBJECTS: and Methods: In this prospective study we enrolled patients affected by MIBC (T1-T4N0-N1M0) from 01/2017 to 06/2021 at our Centers. All the patients underwent robotic radical cystectomy (RARC) with Y-ICNB reconfiguration. Early and late complications were collected and classified according to Clavien-Dindo. Continence and potency at 1, 3, 6 and 12 months were evaluated. At the 3rd month of follow-up patients underwent UD. Finally, in a retrospective match paired analysis the functional outcomes of Y RARC patients were compared with a cohort of open Y radical cystectomy. RESULTS: 45 patients were enrolled. Overall 30-day complications were observed in 25 (55,5%) patients and 30 to 90-days complications in 4 (8,9%). 9 patients (20%) had Clavien ≥3 complications. UDs revealed median neobladder capacity of 268 cc, with a median compliance of 13 ml/cm H20; the voiding phase showed a voiding volume and a post void residual (PVR) of 154 cc and 105 cc respectively. At 12 months of follow-up 4.4%, 15.5% and 4.4% of the patients experienced urge, stress and mix urinary incontinence respectively. The comparison between Y RARC and Y open RC revealed a higher neobladder capacity with open approach (p = 0.049) with subsequent better findings during the voiding phase in terms of maximum flow (p = 0.002), voiding volume (p = 0.001) and PVR (p = 0.01). Focusing on continence recovery, a slight trend in favor of RARC was shown without reaching the statistical significance. CONCLUSIONS: Robotic Y-ICNB is feasible and safe as shown by the low rate of postoperative complications. Satisfying UD functional outcomes are achievable, both during filling and voiding phase.

Beyond the Learning Curve of Prostate MRI/TRUS Target Fusion Biopsy after More than 1000 Procedures.

OBJECTIVE: To evaluate the learning curve (LC) of two urology residents in the execution of fusion biopsy (FB) in terms of overall prostate cancer (PCa) and clinically significant (cs) PCa detection rate (DR) and according to different characteristics of the lesions on MRI MATERIAL AND METHODS: We analyzed data from our prospective maintained FB database between January 2015 and December 2019. FB was performed using the BioJet fusion system (D&K Technologies, Barum, Germany) with a transrectal or transperineal approach. An ANOVA test was used to evaluate the homogeneity of our cohort. Multivariable linear and logistic regression analysis were used to evaluate the relationship between operator experience and DR for PCa and csPCa. Then, the postprocedural complication rate trend was evaluated. RESULTS: 1005 patients were included. The overall DR of PCa was 61.2% (615/1005) [IC 0.58 - 0.64]; whilst DR for csPCA was 54.6% (549/1005) [IC 0.51 - 0.57]. Operator experience does not seem to influence the DR of overall PCa and csPCa; whilst for lesions <8 mm in diameter, PCa and csPCa DR increased significantly with operator experience (P = 0.048 and P = 0.038, respectively). Postprocedural complications remained stable during the whole study period (P = 0.75). CONCLUSION: A standardized FB approach turned out to be feasible, safe, and effective since the beginning of the residents' LC. PCa and csPCa DR remained stable, at 60% and 55% respectively, after more than 1,000 biopsies. However, for lesions smaller than 8 mm, at least 100 FB of experience is needed to correctly sample the area.

Comparison between minimally-invasive partial and radical nephrectomy for the treatment of clinical T2 renal masses: results of a 10-year study in a tertiary care center.

BACKGROUND: Even if partial nephrectomy (PN) is nowadays considered the standard for managing cT1 renal masses, its role in the management of cT2 kidney tumors is controversial. We aimed to compare oncologic and functional outcomes of minimally invasive radical nephrectomy (RN) and PN in cT2 renal masses. METHODS: Patients with cT2 renal masses underwent minimally-invasive PN or RN performed by a highly experienced single surgeon from 2009 to 2019 were considered. Demographic, perioperative and functional variables were compared. Cumulative incidence plot and competing risks regression (CRR) models were used to test differences in 5-year cancer-specific mortality (CSM) and 5-year other-cause mortality (OCM) rates. Kaplan-Meier and Cox regression model was used to test differences in 5-year progression free survival (PFS) rates. RESULTS: Overall, 52 PN vs. 64 RN patients were identified. Relative to RN, PN patients recorded higher rates of complications (25% vs. 7.8%, P=0.02) but lower upstaging rate (≥pT3a 64.1% vs. 19.2%, P<0.0001). Functional outcomes were in favor of PN (all P<0.001). No differences were recorded between 5-year CSM and OCM according to nephrectomy type. At CRR models, older age and upstaging were independent predictors of 5-year OCM and CSM, respectively (all P<0.01). Finally, only upstaging, high grade tumors and presence of positive surgical margins were identified as independent predictors of 5-year PFS (all P<0.01). CONCLUSIONS: In experienced hands the treatment of cT2 renal neoplasms with minimally-invasive PN is feasible, providing perioperative and oncological safety profiles comparable to RN, with advantages in terms of functional outcomes.

The importance of anatomical reconstruction for continence recovery after robot assisted radical prostatectomy: a systematic review and pooled analysis from referral centers.

INTRODUCTION: Urinary incontinence is one of the most scared sequelae of robot assisted radical prostatectomy (RARP). Therefore, different surgical modifications, aimed to restore the original anatomy, were proposed to overcome this issue. The purpose of this study is to assess which is the best reconstruction technique (posterior only: PR; anterior only: AR; total: TR) compared to the standard approach for continence recovery after RARP in a tertiary care center. EVIDENCE ACQUISITION: After establishing an a priori protocol, a systematic electronic literature search was conducted in May 2019. The article selection proceeded in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) guidelines and was registered (PROSPERO registry number 131667). The risk of bias and the quality assessment of the included studies were performed. Simple pooled analysis was performed for continence rates according to the definition of continence (0 pad vs. 0-1 pad) and the different types of reconstruction at 1, 4, 12, 24, 52 weeks after RARP. Complication rate, operative and console time and estimated blood loss were pooled. Two-side test of proportion and T-test were used to compare rates and mean, respectively. EVIDENCE SYNTHESIS: Six studies meeting the inclusion criteria were found and included in the analysis. All the included studies were of "poor" or "good" quality. A high or moderate risk of bias was recorded. TR showed higher continence recovery rates, compared to their anterior reconstruction counterpart at 1, 4, 12, 24, 52 weeks (P<0.001 at all time-points). At 12 weeks TR showed the highest continence rates (P<0.001), followed by AR and PR. No statistically significant differences were recorded regarding anastomosis-related complication rates (anastomosis stricture P=0.08; urine leakage P=0.1). CONCLUSIONS: In patients undergoing RARP, TR facilitates a faster and higher continence recovery compared to standard approach or PR or AR only.

New Ultra-minimally Invasive Surgical Treatment for Benign Prostatic Hyperplasia: A Systematic Review and Analysis of Comparative Outcomes.

CONTEXT: Benign prostatic hyperplasia (BPH) associated with lower urinary tract symptoms (LUTS) is diagnosed in up to 80% of men during their lifetime. Several novel ultra-minimally invasive surgical treatments (uMISTs) for BPH/benign prostatic obstruction (BPO) have become available over the past 5 yr. OBJECTIVE: To evaluate the perioperative and functional outcomes of recently introduced uMISTs for BPH/BPO, including Urolift, Rezum, temporary implantable nitinol device, prostatic artery embolization (PAE), and intraprostatic injection. EVIDENCE ACQUISITION: A systematic literature search was conducted in December 2020 using Medline (via PubMed), Embase (via Ovid), Scopus, and Web of Science (registered on PROSPERO as CRD42021225014). The search strategy used PICO criteria and article selection was conducted in accordance with the PRISMA guidelines. The risk of bias and the quality of the articles included were assessed. A dedicated data extraction form was used to collect the data of interest. Pooled and cumulative analyses were performed to compare perioperative and functional outcomes between study groups. A random-effects model using the DerSimonian and Laird method was used to evaluate heterogeneity. Stata version 15.0 software was used for all statistical analyses. EVIDENCE SYNTHESIS: The initial electronic search identified 3978 papers, of which 48 ultimately met the inclusion criteria and were included in the analysis. Pooled analysis revealed a uMIST benefit in terms of International Prostate Symptom Score (IPSS; -9.81 points, 95% confidence interval [CI] -11.37 to -8.25 at 1 mo; -13.13 points, 95% CI -14.98 to -11.64 at 12 mo), maximum flow rate (from +3.66 ml/s, 95% CI 2.8-4.5 to +4.14 ml/s, 95% CI 0.72-7.56 at 12 mo), and postvoid residual volume (-10.10 ml, 95% CI -27.90 to 7.71 at 12 mo). No negative impact was observed on scores for the International Index of Erectile Function-5, Male Sexual Health Questionnaire-Ejaculatory Dysfunction bother and function scales (overall postintervention change in pooled median score of 1.88, 95% CI 1.34-2.42 at the start of follow-up; and 1.04, 95% CI 0.28-1.8 after 1 yr), or the IPSS-Quality of Life questionnaire. CONCLUSIONS: Novel uMISTs can yield fast and effective relief of LUTS without affecting patient quality of life. Only Rezum, UroLift, and PAE had a minimal impact on patients' sexual function with respect to baseline, especially regarding preservation of ejaculation. PATIENT SUMMARY: We reviewed outcomes for recently introduced ultra-minimally invasive surgical treatments for patients with lower urinary tract symptoms caused by benign prostate enlargement or obstruction. The evidence suggests that these novel techniques are beneficial in terms of controlling symptoms while preserving sexual function. TAKE HOME MESSAGE: Novel ultra-minimally invasive treatments can yield fast and effective relief of lower urinary tract symptoms without affecting a patient's quality of life.