Development and validation of metrics for a new RAPN training model.

Robot-assisted partial nephrectomy (RAPN) is a complex and index procedure that urologists need to learn how to perform safely. No validated performance metrics specifically developed for a RAPN training model (TM) exist. A Core Metrics Group specifically adapted human RAPN metrics to be used in a newly developed RAPN TM, explicitly defining phases, steps, errors, and critical errors. A modified Delphi meeting concurred on the face and content validation of the new metrics. One hundred percent consensus was achieved by the Delphi panel on 8 Phases, 32 Steps, 136 Errors and 64 Critical Errors. Two trained assessors evaluated recorded video performances of novice and expert RAPN surgeons executing an emulated RAPN in the newly developed TM. There were no differences in procedure Steps completed by the two groups. Experienced RAPN surgeons made 34% fewer Total Errors than the Novice group. Performance score for both groups was divided at the median score using Total Error scores, into HiError and LoError subgroups. The LowErrs Expert RAPN surgeons group made 118% fewer Total Errors than the Novice HiErrs group. Furthermore, the LowErrs Expert RAPN surgeons made 77% fewer Total Errors than the HiErrs Expert RAPN surgeons. These results established construct and discriminative validity of the metrics. The authors described a novel RAPN TM and its associated performance metrics with evidence supporting their face, content, construct, and discriminative validation. This report and evidence support the implementation of a simulation-based proficiency-based progression (PBP) training program for RAPN.

Robot-assisted Radical Prostatectomy Performed with Different Robotic Platforms: First Comparative Evidence Between Da Vinci and HUGO Robot-assisted Surgery Robots.

BACKGROUND: In the field of robotic surgery, there is a lack of comparative evidence on surgical and functional outcomes of different robotic platforms. OBJECTIVE: To assess the outcomes of patients receiving robot-assisted radical prostatectomy (RARP) at a high-volume robotic center with daVinci and HUGO robot-assisted surgery (RAS) surgical systems. DESIGN, SETTING, AND PARTICIPANTS: We analyzed the data of 542 patients undergoing RARP ± extended pelvic lymph node dissection at OLV hospital (Aalst, Belgium) between 2021 and 2023. All procedures were performed by six surgeons using daVinci or HUGO RAS robots; the use of one platform rather than the other did not follow any specific preference and/or indication. OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS: Multivariable analyses investigated the association between robotic system (daVinci vs HUGO RAS) and surgical outcomes after adjustment for patient- and tumor-related factors. Urinary continence recovery was defined as the use of no/one safety pad. RESULTS AND LIMITATIONS: A total of 378 (70%) and 164 (30%) patients underwent RARP with daVinci and HUGO RAS surgical systems, respectively. Despite a higher rate of palpable disease in the HUGO RAS group (34% vs 25%), baseline characteristics did not differ between the groups (all p > 0.05). After adjusting for confounders, we did not find evidence of a difference between the groups with respect to operative time (estimate: 16.71; 95% confidence interval [CI]: -6.35, 39.78; p = 0.12), estimated blood loss (estimate: 3.12; 95% CI: -67.03, 73.27; p = 0.9), and postoperative Clavien-Dindo ≥2 complications (odds ratio [OR]: 1.66; 95% CI: 0.34, 8.15; p = 0.5). On final pathology, 55 (15%) and 20 (12%) men in, respectively, the daVinci and the HUGO RAS group had positive surgical margins (PSMs; p = 0.5). On multivariable analyses, we did not find evidence of an association between a robotic system and PSMs (OR: 1.08; 95% CI: 0.56, 2.07; p = 0.8). Similarly, the odds of recovering continence did not differ between daVinci and HUGO RAS cases after both 1 mo (OR: 0.78; 95% CI: 0.45, 1.38; p = 0.4) and 3 mo (OR: 1.17; 95% CI: 0.49, 2.79; p = 0.7). CONCLUSIONS: Among patients receiving RARP with daVinci or HUGO RAS surgical platforms, we did not find differences in surgical and functional outcomes between the robots. This may be a result of a standardized surgical technique that allowed surgeons to transfer their skills between robotic systems. Awaiting future investigations with longer follow-up, these results have important implications for patients, surgeons, and health care policymakers. PATIENT SUMMARY: We compared surgical and functional outcomes of patients receiving robot-assisted radical prostatectomy with daVinci versus HUGO robot-assisted surgery (RAS) robots. The two platforms were able to achieve similar outcomes, suggesting that the introduction of HUGO RAS is safe and allows for optimal outcomes after radical prostatectomy.

Robot-assisted adrenalectomy: Step-by-step technique and surgical outcomes at a high-volume robotic center.

Objective: In the last years, robotic surgery was introduced in several different settings with good perioperative results. However, its role in the management of adrenal masses is still debated. In order to provide a contribution to this field, we described our step-by-step technique for robotic adrenalectomy (RA) and related modifications according to the type of adrenal mass treated. Methods: We retrospectively analyzed 27 consecutive patients who underwent RA at Onze-Lieve-Vrouw hospital (Aalst, Belgium) between January 2009 and October 2022. Demographic, intra- and post-operative, and pathological data were retrieved from our prospectively maintained institutional database. Continuous variables are summarized as median and interquartile range (IQR). Categorical variables are reported as frequencies (percentages). Results: Twenty-seven patients underwent RA were included in the study. Median age, body mass index, and Charlson's comorbidity index were 61 (IQR: 49-71) years, 26 (IQR: 24-29) kg/m2, and 2 (IQR: 0-3), respectively, and 16 (59.3%) patients were male. Median tumor size at computed tomography scan was 6.0 (IQR: 3.5-8.0) cm. Median operative time and blood loss were 105 (IQR: 82-120) min and 175 (IQR: 94-250) mL, respectively. No intraoperative complications were recorded. Overall postoperative complications rate was 11.1%, with a postoperative transfusion rate of 3.7%. A total of 10 (37.0%) patients harbored malignant adrenal masses. Among them, 3 (11.1%) had adrenocortical carcinoma, 6 (22.2%) secondary metastasis, and 1 (3.7%) malignant pheochromocytoma on final pathological exam. Only 1 (10.0%) patient had positive surgical margins. Conclusion: We described our step-by-step technique for RA, which can be safely performed even in case of high challenging settings as malignant tumors, pheochromocytoma, and large masses. The standardization of perioperative protocol should be encouraged to maximize the outcomes of this complex surgical procedure.

Surgical Phase Duration in Robot-Assisted Partial Nephrectomy: A Surgical Data Science Exploration for Clinical Relevance.

(1) Background: Surgical phases form the basic building blocks for surgical skill assessment, feedback, and teaching. The phase duration itself and its correlation with clinical parameters at diagnosis have not yet been investigated. Novel commercial platforms provide phase indications but have not been assessed for accuracy yet. (2) Methods: We assessed 100 robot-assisted partial nephrectomy videos for phase durations based on previously defined proficiency metrics. We developed an annotation framework and subsequently compared our annotations to an existing commercial solution (Touch Surgery, Medtronic™). We subsequently explored clinical correlations between phase durations and parameters derived from diagnosis and treatment. (3) Results: An objective and uniform phase assessment requires precise definitions derived from an iterative revision process. A comparison to a commercial solution shows large differences in definitions across phases. BMI and the duration of renal tumor identification are positively correlated, as are tumor complexity and both tumor excision and renorrhaphy duration. (4) Conclusions: The surgical phase duration can be correlated with certain clinical outcomes. Further research should investigate whether the retrieved correlations are also clinically meaningful. This requires an increase in dataset sizes and facilitation through intelligent computer vision algorithms. Commercial platforms can facilitate this dataset expansion and help unlock the full potential, provided that the phase annotation details are disclosed.

Transitioning from Da Vinci Si to Xi: assessing surgical outcomes at a high-volume robotic center.

PURPOSE: In the emerging field of robotics, only few studies investigated the transition between different robotic platforms in terms of surgical outcomes. We aimed at assessing surgical outcomes of patients receiving robot-assisted radical prostatectomy (RARP) and robot-assisted partial nephrectomy (RAPN) at a high-volume robotic center during the transition from Si to Xi Da Vinci surgical systems. METHODS: We analyzed data of 1884 patients undergoing RARP (n = 1437, 76%) and RAPN (n = 447, 24%) at OLV hospital (Aalst, Belgium) between 2011 and 2021. For both procedures, we assessed operative time, estimated blood loss, length of stay, and positive surgical margins. For RARP, we investigated length of catheterization and PSA persistence after surgery, whereas warm ischemia time, clampless surgery, and acute kidney injury (AKI) were assessed for RAPN. Multivariable analyses (MVA) investigated the association between robotic platform (Si vs. Xi) and surgical outcomes after adjustment for patient- and tumor-related factors. RESULTS: A total of 975 (68%) and 462 (32%) patients underwent RARP performed with the Si vs. Xi surgical system, respectively. Baseline characteristics did not differ between the groups. On MVA, we did not find evidence of a difference between the groups with respect to operative time (estimate: 1.07) or estimated blood loss (estimate: 32.39; both p > 0.05). Median (interquartile range [IQR]) length of stay was 6 (3, 6) and 4 (3, 5) days in the Si vs. Xi group, respectively (p < 0.0001). On MVA, men treated with the Xi vs. Si robot had lower odds of PSM (Odds ratio [OR]: 0.58; p = 0.014). A total of 184 (41%) and 263 (59%) patients received RAPN with the Si and Xi robotic system, respectively. Baseline characteristics, including demographics, functional data, and tumor-related features did not differ between the groups. On MVA, operative time was longer in the Xi vs. Si group (estimate: 30.54; p = 0.006). Patients treated with the Xi vs. Si system had higher probability of undergoing a clampless procedure (OR: 2.56; p = 0.001), whereas the risk of AKI did not differ between the groups (OR: 1.25; p = 0.4). On MVA, patients operated with the Xi robot had shorter length of stay as compared to the Si group (estimate: - 0.86; p = 0.003), whereas we did not find evidence of an association between robotic system and PSM (OR: 1.55; p = 0.3). CONCLUSION: We found that the Xi robot allowed for improvements in peri-operative outcomes as compared to the Si platform, with lower rate of positive margins for RARP and higher rate of off-clamp procedures for RAPN. Hospital stay was also shorter for patients operated with the Xi vs. Si robot, especially after robot-assisted partial nephrectomy. Awaiting future investigations-in particular, cost analyses-these results have important implications for patients, surgeons, and healthcare policymakers.

Artificial Intelligence in Surgical Training for Kidney Cancer: A Systematic Review of the Literature.

The prevalence of renal cell carcinoma (RCC) is increasing due to advanced imaging techniques. Surgical resection is the standard treatment, involving complex radical and partial nephrectomy procedures that demand extensive training and planning. Furthermore, artificial intelligence (AI) can potentially aid the training process in the field of kidney cancer. This review explores how artificial intelligence (AI) can create a framework for kidney cancer surgery to address training difficulties. Following PRISMA 2020 criteria, an exhaustive search of PubMed and SCOPUS databases was conducted without any filters or restrictions. Inclusion criteria encompassed original English articles focusing on AI's role in kidney cancer surgical training. On the other hand, all non-original articles and articles published in any language other than English were excluded. Two independent reviewers assessed the articles, with a third party settling any disagreement. Study specifics, AI tools, methodologies, endpoints, and outcomes were extracted by the same authors. The Oxford Center for Evidence-Based Medicine's evidence levels were employed to assess the studies. Out of 468 identified records, 14 eligible studies were selected. Potential AI applications in kidney cancer surgical training include analyzing surgical workflow, annotating instruments, identifying tissues, and 3D reconstruction. AI is capable of appraising surgical skills, including the identification of procedural steps and instrument tracking. While AI and augmented reality (AR) enhance training, challenges persist in real-time tracking and registration. The utilization of AI-driven 3D reconstruction proves beneficial for intraoperative guidance and preoperative preparation. Artificial intelligence (AI) shows potential for advancing surgical training by providing unbiased evaluations, personalized feedback, and enhanced learning processes. Yet challenges such as consistent metric measurement, ethical concerns, and data privacy must be addressed. The integration of AI into kidney cancer surgical training offers solutions to training difficulties and a boost to surgical education. However, to fully harness its potential, additional studies are imperative.

Discrimination, Reliability, Sensitivity, and Specificity of Robotic Surgical Proficiency Assessment With Global Evaluative Assessment of Robotic Skills and Binary Scoring Metrics: Results From a Randomized Controlled Trial.

Objective: To compare binary metrics and Global Evaluative Assessment of Robotic Skills (GEARS) evaluations of training outcome assessments for reliability, sensitivity, and specificity. Background: GEARS-Likert-scale skills assessment are a widely accepted tool for robotic surgical training outcome evaluations. Proficiency-based progression (PBP) training is another methodology but uses binary performance metrics for evaluations. Methods: In a prospective, randomized, and blinded study, we compared conventional with PBP training for a robotic suturing, knot-tying anastomosis task. Thirty-six surgical residents from 16 Belgium residency programs were randomized. In the skills laboratory, the PBP group trained until they demonstrated a quantitatively defined proficiency benchmark. The conventional group were yoked to the same training time but without the proficiency requirement. The final trial was video recorded and assessed with binary metrics and GEARS by robotic surgeons blinded to individual, group, and residency program. Sensitivity and specificity of the two assessment methods were evaluated with area under the curve (AUC) and receiver operating characteristics (ROC) curves. Results: The PBP group made 42% fewer objectively assessed performance errors than the conventional group (P < 0.001) and scored 15% better on the GEARS assessment (P = 0.033). The mean interrater reliability for binary metrics and GEARS was 0.87 and 0.38, respectively. Binary total error metrics AUC was 97% and for GEARS 85%. With a sensitivity threshold of 0.8, false positives rates were 3% and 25% for, respectively, the binary and GEARS assessments. Conclusions: Binary metrics for scoring a robotic VUA task demonstrated better psychometric properties than the GEARS assessment.

Different approaches for bladder neck dissection during robot-assisted radical prostatectomy: the Aalst technique

ABSTRACT Introduction: Bladder neck dissection is one of the most delicate surgical steps of robotic-assisted radical prostatectomy (RARP) [1, 2], and it may affect surgical margins rate and functional outcomes [3, 4]. Given the relationship between outcomes and surgical experience [5-7], it is crucial to implement a step-by-step approach for each surgical step of the procedure, especially in the most challenging part of the intervention. In this video compilation, we described the techniques for bladder neck dissection utilized at OLV Hospital (Aalst, Belgium). Surgical Technique: We illustrated five different techniques for bladder neck dissection during RARP. The anterior technique tackles the bladder neck from above until the urethral catheter is visualized, and then the dissection is completed posteriorly. The lateral and postero-lateral approaches involve the identification of a weakness point at the prostate-vesical junction and aim to develop the posterior plane - virtually until the seminal vesicles - prior to the opening of the urethra anteriorly. Finally, we described our techniques for bladder neck dissection in more challenging cases such as in patients with bulky middle lobes and prior surgery for benign prostatic hyperplasia. All approaches follow anatomic landmarks to minimize positive surgical margins and aim to preserve the bladder neck in order to promote optimal functional recovery. All procedures were performed with DaVinci robotic platforms using a 3-instruments configuration (scissors, fenestrated bipolar, and needle driver). As standard protocol at our Institution, urinary catheter was removed on postoperative day two [8]. Conclusions: Five different approaches for bladder neck dissection during RARP were described in this video compilation. We believe that the technical details provided here might be of help for clinicians who are starting their practice with this surgical intervention.

A cost-effective model for training in Robot-Assisted Sacrocolpopexy.

BACKGROUND: The number of robotically assisted sacrocolpopexy procedures are increasing; therefore, experienced clinicians are needed. Simulation-based cadaver models are challenging in aspects of cost and availability. Therefore, we need to look at alternative and more cost-effective models. OBJECTIVE: The objective of this video was to design a new surgical model for the training of robotic-assisted sacrocolpopexy, which is affordable and accessible. METHODS: We used a whole chicken model to simulate the female pelvic floor. We used Medtronic's Hugo™ RAS system as the robotic console in that procedure. A vaginal cuff was prepared from the proventriculus (stomach), and a Y shaped mesh was secured to the ischium to simulate the sacrocolpopexy procedure. CONCLUSION: This model is easily constructed and in our view is cost-effective. We have demonstrated a new valuable education tool that can serve as a practical simulation model to teach the sacrocolpopexy procedure and to improve trainees' skills. A larger cohort study size is essential to demonstrate the learning curve among young trainees using this simulation model.

Different approaches for bladder neck dissection during robot-assisted radical prostatectomy: the Aalst technique.

INTRODUCTION: Bladder neck dissection is one of the most delicate surgical steps of robotic-assisted radical prostatectomy (RARP) [1, 2], and it may affect surgical margins rate and functional outcomes [3, 4]. Given the relationship between outcomes and surgical experience [5-7], it is crucial to implement a step-by-step approach for each surgical step of the procedure, especially in the most challenging part of the intervention. In this video compilation, we described the techniques for bladder neck dissection utilized at OLV Hospital (Aalst, Belgium). SURGICAL TECHNIQUE: We illustrated five different techniques for bladder neck dissection during RARP. The anterior technique tackles the bladder neck from above until the urethral catheter is visualized, and then the dissection is completed posteriorly. The lateral and postero-lateral approaches involve the identification of a weakness point at the prostate-vesical junction and aim to develop the posterior plane - virtually until the seminal vesicles - prior to the opening of the urethra anteriorly. Finally, we described our techniques for bladder neck dissection in more challenging cases such as in patients with bulky middle lobes and prior surgery for benign prostatic hyperplasia. All approaches follow anatomic landmarks to minimize positive surgical margins and aim to preserve the bladder neck in order to promote optimal functional recovery. All procedures were performed with DaVinci robotic platforms using a 3-instruments configuration (scissors, fenestrated bipolar, and needle driver). As standard protocol at our Institution, urinary catheter was removed on postoperative day two [8]. CONCLUSIONS: Five different approaches for bladder neck dissection during RARP were described in this video compilation. We believe that the technical details provided here might be of help for clinicians who are starting their practice with this surgical intervention.

Improving Augmented Reality Through Deep Learning: Real-time Instrument Delineation in Robotic Renal Surgery.

Several barriers prevent the integration and adoption of augmented reality (AR) in robotic renal surgery despite the increased availability of virtual three-dimensional (3D) models. Apart from correct model alignment and deformation, not all instruments are clearly visible in AR. Superimposition of a 3D model on top of the surgical stream, including the instruments, can result in a potentially hazardous surgical situation. We demonstrate real-time instrument detection during AR-guided robot-assisted partial nephrectomy and show the generalization of our algorithm to AR-guided robot-assisted kidney transplantation. We developed an algorithm using deep learning networks to detect all nonorganic items. This algorithm learned to extract this information for 65 927 manually labeled instruments on 15 100 frames. Our setup, which runs on a standalone laptop, was deployed in three different hospitals and used by four different surgeons. Instrument detection is a simple and feasible way to enhance the safety of AR-guided surgery. Future investigations should strive to optimize efficient video processing to minimize the 0.5-s delay currently experienced. General AR applications also need further optimization, including detection and tracking of organ deformation, for full clinical implementation.

Objective assessment of intraoperative skills for robot-assisted partial nephrectomy (RAPN).

RAPN training usually takes place in-vivo and methods vary across countries/institutions. No common system exists to objectively assess trainee capacity to perform RAPN at predetermined performance levels prior to in-vivo practice. The identification of objective performance metrics for RAPN training is a crucial starting point to improve training and surgical outcomes. The authors sought to examine the reliability, construct and discriminative validity of objective intraoperative performance metrics which best characterize the optimal and suboptimal performance of a reference approach for training novice RAPN surgeons. Seven Novice and 9 Experienced RAPN surgeons video recorded one or two independently performed RAPN procedures in the human. The videos were anonymized and two experienced urology surgeons were trained to reliably score RAPN performance, using previously developed metrics. The assessors were blinded to the performing surgeon, hospital and surgeon group. They independently scored surgeon RAPN performance. Novice and Experienced group performance scores were compared for procedure steps completed and errors made. Each group was divided at the median for Total Errors score, and subgroup scores (i.e., Novice HiErrs and LoErrs, Experienced HiErrs and LoErrs) were compared. The mean inter-rater reliability (IRR) for scoring was 0.95 (range 0.84-1). Compared with Novices, Experienced RAPN surgeons made 69% fewer procedural Total Errors. This difference was accentuated when the LoErr Expert RAPN surgeon's performance was compared with the HiErrs Novice RAPN surgeon's performance with an observed 170% fewer Total Errors. GEARS showed poor reliability (Mean IRR = 0.44; range 0.0-0.8), for scoring RAPN surgical performance. The RAPN procedure metrics reliably distinguish Novice and Experienced surgeon performances. They further differentiated performance levels within a group with similar experiences. Reliable and valid metrics will underpin quality-assured novice RAPN surgical training.

Robot-assisted sutureless partial nephrectomy for the treatment of fifteen bilateral renal masses in a patient with Von Hippel-Lindau syndrome: a case report from a high-volume robotic center.

Renal cell carcinoma is among major causes of death in patients with Von Hippel-Lindau (VHL) syndrome, and it usually presents with multiple and bilateral lesions that may require multiple renal surgeries. This, in turn, may compromise renal function, resulting in end-stage renal disease. To minimize renal function impairment in these patients, great importance is given to the preservation of functional parenchyma with the use of nephron-sparing techniques. Furthermore, new techniques such as off-clamp surgery, selective suturing or sutureless techniques may improve long-term functional outcomes. We described the case of a 27-year-old male patient with a family history of VHL disease affected by multiple, bilateral renal masses. He received bilateral, metachronous robot-assisted partial nephrectomies (RAPN) for a total of 15 renal lesions. No intra- or post-operative complications occurred, and the patient was discharged on the second postoperative day after both procedures. Serum creatinine after the second RAPN was 0.99 mg/dl (baseline value was 1.11 mg/dl). In patients with VHL syndrome and multiple renal lesions, robot-assisted partial nephrectomy, especially with the use of clampless and sutureless techniques, helps minimizing renal function impairment and should be performed when anatomically and technically feasible.

International Expert Consensus on Metric-based Characterization of Robot-assisted Partial Nephrectomy.

BACKGROUND: Robot-assisted partial nephrectomy (RAPN) training usually takes place in vivo, and methods vary across countries/institutions. No common system exists to objectively assess trainee ability to perform RAPN at predetermined performance levels prior to in vivo practice. The identification of objective performance metrics for RAPN training is a crucial starting point to improve training and surgical outcomes. OBJECTIVE: We sought to identify objective performance metrics that best characterize a reference approach to RAPN, and obtain face and content validity from procedure experts through a modified Delphi meeting. DESIGN, SETTING, AND PARTICIPANTS: During a series of online meetings, a core metrics team of three RAPN experts and a senior behavioral scientist performed a detailed task deconstruction of a transperitoneal left-sided RAPN procedure. OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS: Based on published guidelines, manufacturers' instructions, and unedited videos of RAPN, the team identified performance metrics that constitute an optimal approach for training purposes. The metrics were then subjected to an in-person modified international Delphi panel meeting with 19 expert surgeons. RESULTS AND LIMITATIONS: Eleven procedure phases, with 64 procedure steps, 43 errors, and 39 critical errors, were identified. After the modified Delphi process, the international expert panel added 13 metrics (two steps), six were deleted, and three were modified; 100% panel consensus on the resulting metrics was obtained. Limitations are that the metrics are applicable only to left-sided RAPN cases and some might have been excluded. CONCLUSIONS: Performance metrics that accurately characterize RAPN procedure were developed by a core group of experts. The metrics were then presented to and endorsed by an international panel of very experienced peers. Reliable and valid metrics underpin effective, quality-assured, structured surgical training for RAPN. PATIENT SUMMARY: We organize a meeting among robot-assisted partial nephrectomy (RAPN) experts to identify and reach consensus on objective performance metrics for RAPN training. The metrics are a crucial starting point to improve and quality assure surgical training and patients' clinical outcomes.

Long-term oncologic outcomes of robot-assisted radical cystectomy: update series from a high-volume robotic center beyond 10 years of follow-up.

Long-term oncologic data on patients undergoing robot-assisted radical cystectomy (RARC) for non-metastatic bladder cancer (BCa) are limited. The purpose of this study is to describe long-term oncologic outcomes of patients receiving robotic radical cystectomy at a high-volume European Institution. We analyzed data of 107 patients treated with RARC between 2003 and 2012 at a high-volume robotic center. Clinical, pathologic, and survival data at the latest follow-up were collected. Clinical recurrence (CR)-free survival, cancer-specific mortality (CSM)-free survival, and overall survival (OS) were plotted using Kaplan-Meier survival curves. Cox proportional hazard models investigated predictors of CR and CSM. Competing-risk regressions were utilized to depict cumulative incidences of death from BCa and death from other causes after RARC at long term. Pathologic nonorgan-confined BCa was found in 40% of patients, and 7 (7%) patients had positive soft tissue surgical margins. Median (interquartile range [IQR]) number of nodes removed was 11 (6, 14), and 26% of patients had pN + disease. Median (IQR) follow-up for survivors was 123 (117, 149) months. The 12-year CR-free, CSM-free and overall survival were 55% (95% confidence interval [CI] 44%, 65%), 62% (95% CI 50%, 72%), and 34% (95% CI 24%, 44%), respectively. Nodal involvement on final pathology was associated with poor prognosis on multivariable competing risk analysis. The cumulative incidence of non-cancer death exceeded that of death from BCa after approximately ten years after RARC. We provided relevant data on oncologic outcomes of RARC at a high-volume robotic center, with acceptable rates of clinical recurrence and cancer-specific survival at long-term. In patients treated with RARC, the cumulative incidence of death from causes other than BCa is non-negligible, and should be taken into consideration for post-operative follow-up.

Will Renorrhaphy Become Obsolete? Evaluation of a New Hemostatic Sealant.

Background: In robot-assisted partial nephrectomy (RAPN) renorrhaphy is used to achieve hemostatic control of the tumoral resection bed, with detrimental impact on renal function. Hemostatic agents are used to achieve rapid and optimal hemostasis. GATT-Patch is a new hemostatic sealant that has already demonstrated promising results. Objective: Compare GATT-Patch and standard renorrhaphy in terms of hemostatic capacity, ischemia time, and prevention of urinary leakage after RAPN in a porcine model. Design, Setting, and Participants: In this preclinical randomized controlled trial, four pigs underwent 32 RAPNs. After resection, GATT-Patch application and performance of classic renorrhaphy were randomized. After the procedure, the resection bed was reinspected. A necropsy study evaluated the adhesiveness of the patch, and retrograde pyelography was performed to determine the leakage burst pressure. Intervention: Application of GATT-Patch and performance of classic renorrhaphy were randomized and surgeons blinded to the hemostatic technique to be performed. Outcome Measurements and Statistical Analysis: Warm ischemia, hemostatic control, active bleeding during hemostatic control, total procedure time, bleeding at reinspection, and presence of urinary leakage on retrograde pyelography were recorded. Continuous variables were compared using the Student t-test. Categorical variables were compared using the Chi-square or Fisher's exact test. Results and Limitations: GATT-Patch reduced warm ischemia time (WIT), time to achieve hemostatic control, active bleeding time, and total procedure time, achieving hemostasis in 100% of the cases. Rebleeding at reinspection occurred in 0% of the GATT-Patch group. Renal parenchyma damage was observed in 100% of renorrhaphy cases and in 0% of GATT-Patch cases. Conclusions: GATT-Patch guaranteed optimal hemostasis and urine sealant effect after RAPN in porcine models. Compared to renorrhaphy, we observed a reduction in WIT, total procedure time, and potential reduction in healthy parenchyma loss. Patient Summary: GATT-Patch stops bleeding and provides hemostasis faster than suturing after resection of portions of the kidney in pigs. It might be tested in patients undergoing partial nephrectomy for kidney cancer.

Robot-assisted simple prostatectomy with the novel HUGO™ RAS System: feasibility, setting, and perioperative outcomes.

Robot-assisted simple prostatectomy (RASP) has demonstrated better peri-operative outcomes as compared to open simple prostatectomy. However, RASP is still limited by platform availability and cost-effectiveness issues. The new surgical robots increasing competition may spread the robotic approach also in non-oncological fields. We reported the first RASP executed in Europe at OLV Hospital (Aalst, Belgium) performed with the novel HUGO™ Robot-Assisted Surgery (RAS) System. The platform consists of four independent carts, an open console, and a system tower equipped for both laparoscopic and robotic surgery. Our main goal was to demonstrate the technical feasibility of RASP with the novel HUGO™ RAS along with its safety in terms of perioperative outcomes and complications. We also aimed to describe our surgical setup. We collected patient's baseline characteristics, intraoperative and perioperative complications, postoperative outcomes, docking time, operative time, clashing of the instruments, or technical errors of the system. The procedure was performed in a 72-year-old male with a prostate volume of 155 g at preoperative imaging. No need for conversion to open/laparoscopic surgery and/or for additional port placement was required. No intraoperative complications, instrument clashes, or failure of the system that compromised the completion of the surgery were recorded. Docking, operative, and console times were 9, 150, and 120 minutes, respectively. The catheter was removed on the second postoperative day. No postoperative complications occurred. The postoperative uroflowmetry revealed a maximum flow of 26.2 mL/s, without postvoid residual volume. Robot-assisted simple prostatectomy with the HUGO™ RAS System is a feasible and safe procedure in terms of perioperative outcomes and complications. Our setup allowed for a rapid docking procedure and a smoothly completion of the surgery.

Robot-Assisted Sacropexy with the Novel HUGO Robot-Assisted Surgery System: Initial Experience and Surgical Setup at a Tertiary Referral Robotic Center.

Introduction and Hypothesis: Robotic sacropexy (RSC) emerged in the last years as a valid alternative to the laparoscopic technique. However, the robotic approach is still limited by platform availability and concerns about cost-effectiveness. Recently, new robotic platforms joined the market, lowering the costs and offering the possibility to expand the robotic approach. The aim of our study was to demonstrate the technical feasibility and safety of the procedure with this new platform along with the description of our surgical setting. Materials and Methods: We reported data on the first five consecutive patients who underwent RSC at Onze Lieve Vrouw Hospital (Aalst, Belgium), performed with the novel HUGO™ Robot-Assisted Surgery (RAS) System. The platform consists of four fully independent carts, an open console, and a system tower equipped for both laparoscopic and robotic surgery. We collected patients' characteristics, intraoperative data, intraoperative complications, and clashes of instruments. Results: All procedures were completed according to the same surgical setting and technique. No need for conversion to open/laparoscopic surgery and/or for additional port placement was required. No intraoperative complications, instrument clashes, or system failure that compromised the surgery's completion were recorded. Median interquartile range docking, operative, and console time were 8 (6-9), 130 (115-165), and 80 (80-115) minutes, respectively. Conclusion: This series represents the first worldwide report of a robot-assisted sacropexy executed with the novel HUGO RAS System. Awaiting future investigation, this preliminary experience provides relevant data in terms of operative room settings and perioperative outcomes that might be helpful for future adopters of this platform.