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.

The DEpth of Endoscopic Perforation scale to assess intraoperative perforations during transurethral resection of bladder tumor: subgroup analysis of a randomized controlled trial.

PURPOSE: Bladder perforation (BP) is the most important intraoperative adverse event of transurethral resection of bladder tumor (TURBT). It is frequently underreported despite its impact on the postoperative course. There is no standardized classification of BP. The study aims to develop a classification of the depth of endoscopic bladder perforation during TURBT. METHODS: This is a sub-analysis of a prospective randomized trial enrolling 248 patients submitted to en-bloc vs conventional TURBT from 03/2018 to 06/2021. The DEpth of Endoscopic Perforation (DEEP) scale is as follows: "0" visible muscular layer with no perivesical fat; "1" visible muscle fibers with spotted perivesical fat; "2" exposition of perivesical fat; "3" intraperitoneal perforation. Logistic and linear regression models were used to investigate predictors of high-grade perforations (DEEP 2-3) and to assess whether the DEEP scale independently predicted patients' postoperative outcomes. RESULTS: A total of 146/248 (58.9%), 56/248 (22.6%), 41/248 (16.5%), 5/248 (2.0%) patients presented DEEP grade 0, 1, 2, and 3, respectively. Female gender [B coeff. 0.255 (95% CI 0.001-0.513); p = 0.05], tumor location [B coeff. 0.188 (0.026-0.339); p = 0.015], and obturator-nerve reflex [B coeff. 0.503 (0.148-0.857); p = 0.006] were independent predictors of DEEP. The scale predicted independently major complications [Odd Ratio (OR) 2.221 (1.098-4.495); p = 0.026], no post-operative chemotherapy intravesical instillation [OR 9.387 (2.434-36.200); p = 0.001], longer irrigation time [B coeff. 0.299 (0.166-0.441); p < 0.001] and hospital stay [B coeff. 0.315 (0.111-0.519); p = 0.003]. CONCLUSION: The DEEP scale provides a visual tool for grading bladder perforation during TURBT, which can help physicians standardize complication reporting and plan postoperative management accordingly.

Initial experience of robot-assisted partial nephrectomy with Hugo™ RAS system: implications for surgical setting.

PURPOSE: Hugo™ RAS system is one of the most promising new robotic platforms introduced in the field of urology. To date, no data have been provided on robot-assisted partial nephrectomy (RAPN) performed with Hugo™ RAS system. The aim of the study is to describe the setting and report the performance of the first series of RAPN performed with Hugo™ RAS system. METHODS: Ten consecutive patients who underwent RAPN at our Institution between February and December 2022 were prospectively enrolled. All RAPN were performed transperitoneally with a modular four-arm configuration. The main outcome was to describe the operative room setting, trocar placement and the performance of this novel robotic platform. Pre, intra and post-operative, variables were recorded. A descriptive analysis was performed. RESULTS: Seven patients underwent RAPN for right-side and three for left-side masses. Median tumor size and PADUA score were 3 (2.2-3.7) cm and 9 (8-9), respectively. Median docking and console time were 9.5 (9-14) and 138 (124-162) minutes, respectively. Median warm ischemia time was 13 (10-14) minutes, and one case was performed clamp-less. Median estimated blood loss was 90 (75-100) mL. One major complication (Clavien-Dindo 3a) occurred. No case of positive surgical margin was recorded. CONCLUSION: This is the first series to prove the feasibility of Hugo™ RAS system in the setting of RAPN. These preliminary results may help new adopters of this surgical platform to identify critical steps of robotic surgery with this platform and explore solutions before in-vivo surgery.

Systematic review of techniques and devices used to avoid warm ischemia time injury during kidney transplantation.

PURPOSE: The lack of a reliable and reproducible technique to ensure a constantly low temperature of the graft during kidney transplantation (KT) may be a cause of renal nonfunction. The aim of this review was to assess all the methods and devices available to ensure hypothermia during vascular anastomosis in KT. METHODS: A literature search was conducted through May 2022 using PubMed/Medline, Cochrane Library, Embase and Web of Science databases. Preferred Reporting Items for Systematic Reviews and Meta-analysis (PRISMA) guidelines were followed to identify eligible studies. The review protocol was registered on PROSPERO (CRD42022326550). RESULTS: A total of 20 studies reporting on four hypothermia techniques met our inclusion criteria. Simple instillation of cold serum is not sufficient, the graft reaching up to 33 ℃ at the end of warm ischemia time (WIT). Plastic bags filled with ice slush have questionable efficiency. The use of a gauze jacket filled with ice-slush was reported in 12/20 studies. It ensures a graft temperature up to 20.3 ℃ at the end of WIT. Some concerns have been linked to potentially inhomogeneous parenchymal cooling and secondary ileus. Novel devices with continuous flow of ice-cold solution around the graft might overcome these limitations, showing a renal temperature below 20 ℃ at all times during KT. CONCLUSION: The gauze filled with ice slush is the most common technique, but several aspects can be improved. Novel devices in the form of cold-ischemia jackets can ensure a lower and more stable temperature of the graft during KT, leading to higher efficiency and reproducibility.

The importance of second-look ureteroscopy implementation in the conservative management of upper tract urothelial carcinoma.

PURPOSE: The purpose of the study was to evaluate the effect of second-look ureteroscopy (SU) in the endoscopic operative work-up of patients with upper tract urothelial carcinoma (UTUC). MATERIALS AND METHODS: Patients with UTUC who underwent SU between 2016 and 2021 were included. Cancer detection rate (CDR) at SU was defined as endoscopic visualization of tumor. The effect of SU on recurrence-free survival (RFS), radical nephroureterectomy-free survival (RNU-FS), bladder cancer-free survival (BC-FS), and cancer-specific survival (CSS) was estimated using the Kaplan-Meier method. Multivariate logistic regression analysis (MLR) assessed predictors of negative SU. Finally, we evaluated the effect of SU timing on oncological outcomes, classifying SUs as "early" (≤ 8 weeks) and "late" (> 8 weeks). RESULTS: Overall, 85 patients underwent SU. The CDR at SU was 44.7%. After a median follow-up was 35 (IQR: 15-56) months, patients with positive SU had a higher rate of UTUC recurrence (47.4% vs 19.1%, p = 0.01) and were more frequently radically treated (34.2% vs 8.5%, p = 0.007). Patients with high-grade disease (hazard ratio [HR]: 3.14, 95% CI 1.18-8.31; p = 0.02) had a higher risk of UTUC recurrence, while high-grade tumor (HR: 3.87, 95%CI 1.08-13.77; p = 0.04) and positive SU (HR: 4.56, 95%CI 1.05-22.81; p = 0.04) were both predictors of RNU. Low-grade tumors [odds ratio (OR): 5.26, 95%CI 1.81-17.07, p = 0.003] and tumor dimension < 20 mm (OR: 5.69, 95%CI 1.48-28.31, p = 0.01) were predictors of negative SU. Finally, no significant difference emerged regarding UTUC recurrence, RNU, BC-FS, and CSM between early vs. late SUs (all p > 0.05). CONCLUSIONS: SU may help in identifying patients with UTUC experiencing an early recurrence after conservative treatment. Patients with low-grade and small tumors are those in which SU could be safely postponed after 8 weeks.

A new machine-learning model to predict long-term renal function impairment after minimally invasive partial nephrectomy: the Fundació Puigvert predictive model.

PURPOSE: To provide a new model to predict long-term renal function impairment after partial nephrectomy (PN). METHODS: Data of consecutive patients who underwent minimally invasive PN from 2005 to 2022 were analyzed. A minimum of 12 months of follow-up was required. We relied on a machine-learning algorithm, namely classification and regression tree (CART), to identify the predictors and associated clusters of chronic kidney disease (CKD) stage migration during follow-up. RESULTS: 568 patients underwent minimally invasive PN at our center. A total of 381 patients met our inclusion criteria. The median follow-up was 69 (IQR 38-99) months. A total of 103 (27%) patients experienced CKD stage migration at last follow-up. Progression of CKD stage after surgery, ACCI and baseline CKD stage were selected as the most informative risk factors to predict CKD progression, leading to the creation of four clusters. The progression of CKD stage rates for cluster #1 (no progression of CKD stage after surgery, baseline CKD stage 1-2, ACCI 1-4), #2 (no progression of CKD stage after surgery, baseline CKD stage 1-2, ACCI ≥ 5), #3 (no progression of CKD stage after surgery and baseline CKD stage 3-4-5) and #4 (progression of CKD stage after surgery) were 6.9%, 28.2%, 37.1%, and 69.6%, respectively. The c-index of the model was 0.75. CONCLUSION: We developed a new model to predict long-term renal function impairment after PN where the perioperative loss of renal function plays a pivotal role to predict lack of functional recovery. This model could help identify patients in whom functional follow-up should be intensified to minimize possible worsening factors of renal function.

Effectiveness of endourological management of ureteral stenosis in kidney transplant patients: EAU-YAU kidney transplantation working group collaboration.

PURPOSE: Ureteral stenosis (US) in kidney transplant (KT) recipients is associated with poorer long-term graft survival. Surgical repair is the standard of care, and endoscopic treatment represents an alternative for stenosis < 3 cm. We aimed to determine the effectiveness and safety of endourological management of US in KT patients and predictors of failure. METHODS: A retrospective multicenter study was conducted in four European referral centers, including all KT patients with US managed endoscopically between 2009 and 2021. Clinical success was defined as the absence of upper urinary tract catheterization, surgical repair or transplantectomy during follow-up. RESULTS: A total of 44 patients were included. The median time to US onset was 3.5 months (IQR 1.9-10.8), the median length of stricture was 10 mm (IQR 7-20). Management of US involved balloon dilation and laser incision in 34 (79.1%) and 6 (13.9%) cases, respectively, while 2 (4.7%) received both. Clavien-Dindo complications were infrequent (10%); only one Clavien ≥ III complication was reported. Clinical success was 61% at last follow-up visit (median = 44.6 months). In the bivariate analysis, duckbill-shaped stenosis (vs. flat/concave) was associated with treatment success (RR = 0.39, p = 0.04, 95% CI 0.12-0.76), while late-onset stenosis (> 3 months post KT) with treatment failure (RR = 2.00, p = 0.02, 95% CI 1.01-3.95). CONCLUSIONS: Considering the acceptable long-term results and the safety of these procedures, we believe that the endoscopic treatment should be offered as a first-line therapy for selected KT patients with US. Those with a short and duckbill-shaped stenosis diagnosed within 3 months of KT seem to be the best candidates.

Optimizing decision-making process of benign uretero-enteric anastomotic stricture treatment after radical cystectomy.

PURPOSE: To identify preoperative predictors of endo-urological treatment (EUT) failure while promoting a new diagnostic and therapeutic pathway for benign uretero-enteric anastomosis stricture (UES) management after radical cystectomy (RC). MATERIALS AND METHODS: We relied on a prospectively maintained database including 96 individuals (122 renal units) who developed a benign UES at our institution between 1990 and 2018. UES was classified into two different types according to morphology: FP1 (i.e., sharp or duckbill) and FP2 (i.e., flat or concave). EUT feasibility, success rate, as well as intra and postoperative complications were recorded. Uni- and multivariable logistic regression analysis (MVA) assessed for predictors of EUT failure. RESULTS: Overall, 78 (63.9%) and 32 (26.3%) cases were defined as FP1 and FP2, respectively. EUT was not feasible in 33 (27.1%) cases. After a median follow-up of 50 (IQR 5-240) months, successful treatment was reached only in 15/122 (12.3%) cases. EUT success rates raised when considering short (< 1 cm) (16.8%), FP1 morphology (16.7%) strictures, or the combination of these characteristics (22.4%). Overall, 5 (5.2%) cases had CD ≥ III complications. FP2 (OR: 1.91, 95%CI 1.21-5.31, p = 0.03) and stricture length ≥ 1 cm (OR: 9.08, 95%CI 2.09-65.71, p = 0.009) were associated with treatment failure at MVA. CONCLUSIONS: Endoscopic treatment for benign UES after RC is feasible but harbors a low success rate. Stricture length and radiological morphology of the stricture are related to endoscopic treatment failure. Surgeons should be aware of the stricture features during the preoperative decision-making process to choose the optimal candidate for endoscopic treatment.

Robot-assisted radical cystectomy and ileal conduit with HugoTM RAS system: feasibility, setting and perioperative outcomes.

INTRODUCTION: Robotic approach has shown its feasibility and safety with respect to open approach for radical cystectomy (1). The performances of HugoTM RAS system (Medtronic, Minneapolis, USA) have been demonstrated in several clinical scenarios (2-5). We report the feasibility and surgical settings of the first series of robot-assisted radical cystectomy (RARC) with intracorporeal ileal-conduit performed with HugoTM RAS system. METHODS: Two patients were submitted to RARC with ileal conduit at our institution. The trocar placement scheme and the operating room setting with docking angles of the four arms were already described (6). A 12-mm and a 5-mm trocar for the assistant were placed. In both cases, an ileal-conduit with a Wallace type-1 uretero-enteric derivation was performed intra-corporeally. RESULTS: The first patient was a 71-year-old male with a very-high risk non-muscle invasive bladder cancer(BC), and the second patient was a 64-year-old male with a diagnosis of T2 high-grade BC. Operative times were 360 and 420 minutes with a docking time of 12 and 9 minutes, respectively. No intraoperative complications occurred. The estimated blood loss was 200ml and 400ml, respectively. The second patient developed an ileus on postoperative day 4 (Clavien-Dindo grade 2). No positive surgical margins were recorded. No recurrence nor progression occurred during follow-up. CONCLUSION: RARC with intracorporeal ileal conduit urinary diversion is feasible with HugoTM RAS system. We provided insight into the surgical setting using this novel robotic platform to help new adopters to face this challenging procedure. These findings may help a wider distribution of robotic programs for BC treatment.

Health Information Technology Usability Evaluation Scale (Health-ITUES) and User-Experience Questionnaire (UEQ) for 3D Intraoperative Cognitive Navigation (ICON3DTM) System for Urological Procedures.

Backgound and objectives: In recent years, the adoption of 3D models for surgical planning and intraoperative guidance has gained a wide diffusion. The aim of this study was to evaluate the surgeons' perception and usability of ICON3DTM platform for robotic and laparoscopic urological surgical procedures. Materials and Methods: During the 10th edition of the Techno-Urology Meeting, surgeons and attendees had the opportunity to test the new ICON3DTM platform. The capability of the user to manipulate the model with hands/mouse, the software usability, the quality of the 3D model's reproduction, and the quality of its use during the surgery were evaluated with the Health Information Technology Usability Evaluation Scale (Health-ITUES) and the User-Experience Questionnaire (UEQ). Results: Fifty-three participants responded to the questionnaires. Based on the answers to the Health-ITUES questionnaire, ICON3DTM resulted to have a positive additional value in presurgical/surgical planning with 43.4% and 39.6% of responders that rated 4 (agree) and 5 (strongly agree), respectively. Regarding the UEQ questionnaire, both mouse and infrared hand-tracking system resulted to be easy to use for 99% of the responders, while the software resulted to be easy to use for 93.4% of the responders. Conclusions: In conclusion, ICON3DTM has been widely appreciated by urologists thanks to its various applications, from preoperative planning to its support for intraoperative decision-making in both robot-assisted and laparoscopic settings.

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.

Robotic partial nephrectomy in 3D virtual reconstructions era: is the paradigm changed?

CONTEXT: The development of a tailored, patient-specific medical and surgical approach is becoming object of intense research. In kidney oncologic surgery, where a clear understanding of case-specific surgical anatomy is considered a key point to optimize the perioperative outcomes, such philosophy gained increasing importance. Recently, important advances in 3D virtual modeling technologies have fueled the interest for their application in the field of robotic minimally invasive surgery for kidney tumors. OBJECTIVE: To provide a synthesis of current applications of 3D virtual models for robot-assisted partial nephrectomy. EVIDENCE ACQUISITION: Medline, PubMed, the Cochrane Database, and Embase were screened for Literature regarding the use of 3D virtual models for robot-assisted partial nephrectomy (RAPN). EVIDENCE SYNTHESIS: The use of 3D virtual models for RAPN has been tested in different settings, including surgical indication and planning, intraoperative guidance, and training. Currently, several studies are available on the application of this technology for surgical planning, demonstrating impact on clinical outcomes such as renal function recovery, whilst experiences concerning their intraoperative application for navigation are still experimental. One of the latest innovations in this field is represented by the development of dedicated softwares able to automatically overlap the 3D virtual models to the real anatomy, to perform augmented reality procedures. CONCLUSIONS: The available Literature suggests a potentially crucial role of 3D virtual reconstructions during RAPN. Encouraging results concerning surgical planning and indication, intraoperative navigation, and surgical training are available. In the future, artificial intelligence may represent the key to further improve the 3D virtual modeling technology during RAPN.

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.

The Role of 99mTc-Sestamibi Single-photon Emission Computed Tomography/Computed Tomography in the Diagnostic Pathway for Renal Masses: A Systematic Review and Meta-analysis.

CONTEXT: The diagnostic accuracy of current imaging techniques in differentiating benign from malignant neoplasms in the case of indeterminate renal masses is still suboptimal. OBJECTIVE: To evaluate the diagnostic accuracy of 99mTc-sestamibi (SestaMIBI) single-photon emission tomography computed tomography (SPECT)/CT in characterizing indeterminate renal masses by differentiating renal oncocytoma and hybrid oncocytic/chromophobe tumor (HOCT) from (1) all other renal lesions and (2) all malignant renal lesions. Secondary outcomes were: (1) benign versus malignant; (2) renal oncocytoma and HOCT versus clear cell (ccRCC) and papillary (pRCC) renal cell carcinoma; and (3) renal oncocytoma and HOCT versus chromophobe renal cell carcinoma (chRCC). EVIDENCE ACQUISITION: A literature search was conducted up to November 2022 using the PubMed/MEDLINE, Embase, and Web of Science databases. Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines were followed to identify eligible studies. Studies included were prospective and retrospective cross-sectional studies in which SestaMIBI SPECT/CT findings were compared to histology after renal mass biopsy or surgery. EVIDENCE SYNTHESIS: Overall, eight studies involving 489 patients with 501 renal masses met our inclusion criteria. The sensitivity and specificity of SestaMIBI SPECT/CT for renal oncocytoma and HOCT versus all other renal lesions were 89% (95% confidence interval [CI] 70-97%) and 89% (95% CI 86-92%), respectively. Notably, for renal oncocytoma and HOCT versus ccRCC and pRCC, SestaMIBI SPECT/CT showed specificity of 98% (95% CI 91-100%) and similar sensitivity. Owing to the relatively high risk of bias and the presence of heterogeneity among the studies included, the level of evidence is still low. CONCLUSIONS: SestaMIBI SPECT/CT has good sensitivity and specificity in differentiating renal oncocytoma and HOCT from all other renal lesions, and in particular from those with more aggressive oncological behavior. Although these results are promising, further studies are needed to support the use of SestaMIBI SPECT/CT outside research trials. PATIENT SUMMARY: A scan method called SestaMIBI SPECT/CT has promise for diagnosing whether kidney tumors are malignant or not. However, it should still be limited to research trials because the level of evidence from our review is low.

Evaluation of predictive factors for i-CLARAS (intraoperative complications in laparoscopic renal and adrenal surgery): a multicentre international retrospective cohort study.

The laparoscopic approach represents the standard of treatment for renal and adrenal diseases, and its use is increasing even outside referral centres. Although most procedures are routinely performed, intraoperative complications do not occur, and the rate and predictive factors of these complications have not been established. The aim of this study was to evaluate the incidence and type of intraoperative complications and to identify predictive factors in patients undergoing laparoscopic renal and adrenal surgery. This was a cohort, multicentre, international retrospective study. Patients who underwent laparoscopic renal and adrenal surgeries between April 2017 and March 2022 were included in the study. Bivariate analysis was performed using contingency tables and the χ2 test for independent samples to compare qualitative variables and the T test and Mood test for continuous variables. Multivariate analysis was performed using a logistic regression model to obtain adjusted odds ratios. A total of 2374 patients were included in the study. Intraoperative complications were reported for 8.09% of patients who underwent renal surgery, with the most common complications reported being hollow viscus and vascular complications, and for 6.75% of patients who underwent adrenal surgery, with the most common complication reported being parenchymatous viscous complications. Multivariate analysis revealed that both adrenal and renal surgery radiological preoperative factors, such as invasive features during adrenalectomy and the RENAL score during nephrectomy, are predictive factors of intraoperative complications. In contrast to existing data, surgeon experience was not associated with a reduction in the incidence of perioperative complications.

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 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.

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.