Design and utilisation of a novel, high-fidelity, low-cost, hybrid-tissue simulation model to facilitate training in robot-assisted partial nephrectomy.

Robot-assisted partial nephrectomy (RAPN) has rapidly evolved as the standard of care for appropriately selected renal tumours, offering key patient benefits over radical nephrectomy or open surgical approaches. Accordingly, RAPN is a key competency that urology trainees wishing to treat kidney cancer must master. Training in robotic surgery is subject to numerous challenges, and simulation has been established as valuable step in the robotic learning curve. However, simulation models are often both expensive and suboptimal in fidelity. This means that the number of practice repetitions for a trainee may limited by cost restraints, and that trainees may struggle to reconcile the skills obtained in the simulation laboratory with real-world practice in the operating room. We have developed a high-fidelity, low-cost, customizable model for RAPN simulation based on porcine tissue. The model has been utilised in teaching courses at our institution, confirming both feasibility of use and high user acceptability. We share the design of our model in this proof-of-concept report.

Development of a continuously perfused ex vivo kidney training model for laparoscopic partial nephrectomy: validity and efficiency.

BACKGROUND: Suture hemostasis is essential for laparoscopic partial nephrectomy (LPN). This study aimed to develop, validate, and test the efficacy of a continuously perfused training model (CPTM) in LPN with high-level simulated bleeding. MATERIALS AND METHODS: The CPTM was constructed using fresh porcine kidneys with renal arteries continuously perfused with red-dyed liquid gelatin. Twenty-nine participants with expert, intermediate, or novice laparoscopic experience levels were recruited. The expert and intermediate participants evaluated the CPTM, and the novice participants were randomly assigned to one of two groups to complete training on a CPTM or dry box training model (DBTM). Messick's framework criteria were utilized to assess the validity and training efficacy of the model. The data were analyzed using the Mann-Whitney U , Kruskal-Wallis, and Friedman tests. A value of P< 0.05 was considered statistically significant. RESULTS: Positive comments were provided by all experts and intermediates for the Content . The Relationships with other variables demonstrated significant differences among novices, intermediates, and experts in all metrics ( P< 0.05). The Consequences showed that the CPTM helped novices acquire LPN skills. The training efficacy was significantly better than that of the DBTM ( P< 0.05). There were no significant differences between the final performances of the novices and the initial performances of the experts ( P >0.05). Synthesizing all metrics, the LPN skills learned using CPTMs were significantly improved in the 12th round of training. CONCLUSION: The CPTM offered a high-level simulation of bleeding with realistic tissue texture for acquiring LPN skills. Training of no fewer than 12 rounds is recommended for a novice's LPN training on the CPTM.

Evaluating robotic-assisted partial nephrectomy surgeons with fully convolutional segmentation and multi-task attention networks.

We use machine learning to evaluate surgical skill from videos during the tumor resection and renography steps of a robotic assisted partial nephrectomy (RAPN). This expands previous work using synthetic tissue to include actual surgeries. We investigate cascaded neural networks for predicting surgical proficiency scores (OSATS and GEARS) from RAPN videos recorded from the DaVinci system. The semantic segmentation task generates a mask and tracks the various surgical instruments. The movements from the instruments found via semantic segmentation are processed by a scoring network that regresses (predicts) GEARS and OSATS scoring for each subcategory. Overall, the model performs well for many subcategories such as force sensitivity and knowledge of instruments of GEARS and OSATS scoring, but can suffer from false positives and negatives that would not be expected of human raters. This is mainly attributed to limited training data variability and sparsity.

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.

Usefulness of Thiel-Embalmed Cadavers for Training in Organ Procurement.

BACKGROUND: The number of brain-dead donors has been increasing; however, the opportunity for young surgeons to experience deceased donor surgeries is extremely limited, especially in many Asian countries including Japan. Deceased donor surgeries require unique surgical skills and knowledge; however, it is difficult to provide on-the-job guidance and education. Therefore, cadaver training is meaningful and suitable for the training of deceased donor surgeries. Thiel's embalming method (TEM) provides natural coloration, flexibility, and tissue plasticity, and is widely used for cadaver surgical training. In this study, we evaluated the usefulness of Thiel's embalmed cadaver training for organ procurement surgery. MATERIAL AND METHODS: Each trainee performed hepatectomy, pancreatectomy, and nephrectomy using conventional open techniques. Faculty experts of transplantation surgery and organ procurement took attendees through surgical steps. After the procedure, all participants were asked to complete a voluntary, anonymous survey, consisting of a 10-point satisfaction scale, to evaluate their perceptions of the training. RESULTS: A total of 33 gastrointestinal surgeons participated in the training program for procuring the liver, pancreas, and kidneys. In the questionnaire administered to the participants, the evaluation was generally satisfactory, with an average of 9.1 points on the 10-point scales. Some participants expressed that Thiel-embalmed cadavers are more suitable for training on organ procurement compared with animals used in wet-lab training. CONCLUSION: We conclude that organ procurement training in human cadavers preserved by TEM is useful and suitable for practicing deceased donor organ procurement, especially in countries where deceased donors are not common, as in Japan.

A Call for Change. Can 3D Printing Replace Cadavers for Surgical Training?

While cadaveric dissection has stood the test of time because of its widely accepted educational value by experienced surgeons, the introduction advances in 3D printing and biomaterial technologies could potentially provide alternative tools for surgical training. This novel concept in simulation (physical reality) would encompass all the benefits of cadavers in terms of realism and clinical relevance without any of its ethical, infection, safety, and financial concerns.

Evaluation of Peri-operative Outcomes Associated With Resident Involvement on Tumor Resection and Renorrhaphy During Robotic-assisted Partial Nephrectomy.

OBJECTIVE: To evaluate perioperative outcomes of resident trainee involvement in tumor resection and renorrhaphy during robotic assisted partial nephrectomy (RAPN). MATERIALS AND METHODS: We analyzed 500 consecutive RAPN in a single surgeon prospectively maintained database. Cases with resident performed tumor resection and renorrhaphy (N = 71) were case matched on R.E.N.A.L. score and RAPN year using a greedy matching algorithm. Perioperative variables were compared to attending cases. RESULTS: There were no statistically significant differences in high grade postoperative complications (resident: 3% vs attending: 6%, P = .68), positive margins (resident: 1% vs attending: 3%, P = .31), length of stay (resident: 2.0 vs attending: 2.0 days, P = .73), and 30 day readmission (resident: 7% vs attending: 11%, P = .56). However, residents had a statistically significant longer warm ischemia time (median 21 vs 15 minutes, P <.001), thus less likely to achieve trifecta (66% vs 85%, P = .02). Resident involvement had longer median operative time (197 vs 184 minutes, P = .03). No statistically significant difference in functional volume loss (P = .12) or surface intermediate base margin score (P = .66) between residents and attending was found. No difference in post-operative creatinine change was found at 1 day and 1 month (resident: 0.2 vs attending: 0.1 mg/dL, P = .4 and resident: 0.1 vs attending: 0.1 mg/dL, P = .6, respectively). CONCLUSION: Supervised resident console involvement in tumor resection and renorrhaphy during RAPN is safe and does not increase rates of complications. Residents have longer median warm ischemia time compared to attending only cases, but this does not appear to impact post-operative renal function.

Interactive Virtual Reality Renal Models as an Educational and Preoperative Planning Tool for Laparoscopic Donor Nephrectomy.

OBJECTIVE: To evaluate the efficacy of interactive virtual reality (iVR) in providing a three-dimensional (3D) experience with the donor's anatomy for surgeons and patients, we present a retrospective, case-controlled study assessing the impact of iVR renal models prior to LDN on both surgical outcomes and patients' understanding of the procedure. MATERIALS AND METHODS: Twenty patients undergoing LDN were prospectively recruited; their contrast-enhanced CT scans were transformed into iVR models. An iVR platform allowed the surgeons to rotate and deconstruct the renal anatomy; patients could also view their anatomy as the procedure was explained to them. Questionnaires assessed surgeons' understanding of renal anatomy after CT alone and after CT+iVR. Surgeons also commented on whether iVR impacted their preoperative plan. Patients assessed their anatomical understanding and anxiety level before and after iVR. Surgical outcomes for the iVR cohort were compared to a retrospectively matched, non-iVR cohort of LDN patients. RESULTS: Surgeons altered their preoperative plan in 18 of 20 LDNs after viewing iVR models. Patients reported better understanding of their anatomy (5/5) and noted decreased preoperative anxiety (5/5) after viewing iVR. When compared to the non-iVR group, the iVR group had a 25% reduction in median operative time (P < .001). In terms of surgical outcomes, patients in the iVR group had a 40% lower median relative change in postoperative creatinine (P < .001). CONCLUSION: Preoperative viewing of iVR models altered the operative approach, decreased the operative time, and improved donor patient outcomes. iVR models also reduced patients' preoperative anxiety.

Learning curves of minimally invasive donor nephrectomy in a high-volume center: A cohort study of 1895 consecutive living donors.

BACKGROUND: Few studies have investigated the learning curves of minimally invasive donor nephrectomy (MIDN) using the cumulative sum (CUSUM) analysis. In addition, no study has compared the learning curves of the different surgical MIDN techniques in one cohort study using the CUSUM analysis. This study aims to evaluate and compare learning curves for several MIDN using the CUSUM analysis. METHODS: A retrospective review of consecutive donors, who underwent MIDN between 1997 and 2019, was conducted. Three laparoscopic-assisted techniques were applied in our institution and included for analysis: laparoscopic (LDN), hand-assisted retroperitoneoscopic (HARP), and robot-assisted laparoscopic (RADN) donor nephrectomy. The outcomes were compared based on surgeon volume to develop learning curves for the operative time per surgeon. RESULTS: Out of 1895 MIDN, 1365 (72.0%) were LDN, 427 (22.5%) were HARP, and 103 (5.4%) were RADN. The median operative time and median blood loss were 179 (IQR, 139-230) minutes and 100 (IQR, 40-200) mL, respectively. The incidence of major complication was 1.2% with no mortality, and the median hospital stay was three (IQR, 3-4) days. The CUSUM analysis resulted in learning curves, defined by decreased operative time, of 23 cases in LDN, 45 cases in HARP, and 26 cases in RADN. CONCLUSIONS: Our study shows different learning curves in three MIDN techniques with equal post-operative complications. The LDN and RADN learning curves are shorter than that of the hand-assisted donor nephrectomy. Our observations can be helpful for informing the development of teaching requirements for fellows to be trained in MIDN.

A Novel Dissection Gesture Classification to Characterize Robotic Dissection Technique for Renal Hilar Dissection.

PURPOSE: Deconstruction of robotic surgical gestures into semantic vocabulary yields an effective tool for surgical education. In this study we disassembled tissue dissection into basic gestures, created a classification system, and showed its ability to distinguish between experts and novices. MATERIALS AND METHODS: Videos of renal hilum preparation during robotic assisted partial nephrectomies were manually reviewed to identify all discrete surgical movements. Identified dissection movements were classified into distinct gestures based on the consensus of 6 expert surgeons. This classification system was then employed to compare expert and novice dissection patterns during the renal hilum preparation. RESULTS: A total of 40 robotic renal hilum preparation videos were reviewed, representing 16 from 6 expert surgeons (100 or more robotic cases) and 24 from 13 novice surgeons (fewer than 100 robotic cases). Overall 9,819 surgical movements were identified, including 5,667 dissection movements and 4,152 supporting movements. Nine distinct dissection gestures were identified and classified into the 3 categories of single blunt dissection (spread, peel/push, hook), single sharp dissection (cold cut, hot cut and burn dissect) and combination gestures (pedicalize, 2-hand spread, and coagulate then cut). Experts completed 5 of 9 dissection gestures more efficiently than novices (p ≤0.033). In consideration of specific anatomical locations, experts used more peel/push and less hot cut while dissecting the renal vein (p <0.001), and used more pedicalize while dissecting the renal artery (p <0.001). CONCLUSIONS: Using this novel dissection gesture classification system, key differences in dissection patterns can be found between experts/novices. This comprehensive classification of dissection gestures may be broadly applied to streamline surgical education.

Single-port robotic-assisted partial nephrectomy: initial clinical experience and lessons learned for successful outcomes.

The Intuitive Surgical DaVinci SP ("Single Port") robotic platform was approved in 2014, but, recently, there has been a dissemination of the technology with multiple urological procedures successfully adapted to this robot. There are some important differences from prior models. We aimed to share our early outcomes and lessons learned for performing successful single-port robotic-assisted partial nephrectomy (SP-RAPN). This study is a retrospective review of sequential SP-RAPN cases between 7/2019 and 3/2020. We extracted patient characteristics and early surgical outcomes. Surgical tips and tricks were recorded during these cases and compiled. SP-RAPN was successfully completed in 12 patients. Patients mean age was 57.8 ± 11.0 years and median ASA score was 2. Mean tumor size was 3.1 ± 2.2 cm. The average OR Time was 172 ± 41 min and EBL was 68 ± 75 mL. All cases had warm ischemia time < 25 min. Tumor pathology included 8 RCC (6 pT1a, 1 pT1b, 1 pT2a), 2 AML, and 2 oncocytoma. There were no complications. Our top surgical tips involved: (1) patient positioning, (2) port placement, (3) insufflation, (4) air docking, (5) assistant port placement, (6) dynamic arm control, (7) hilar clamping, (8) camera relocation, (9) tumor excision, and (10) extraction and port closure. SP-RAPN is safe and feasible in this series. There are advantages and disadvantages to this platform. As the technology matures and techniques evolve, SP-RAPN may become more appealing. Future studies should focus on long-term outcomes and cost-effectiveness of the SP system.

Changes in UK renal oncological surgical practice from 2008 to 2017: implications for cancer service provision and surgical training.

OBJECTIVE: To determine and analyse the temporal changes in oncological nephrectomy practice and training opportunities using data obtained from the UK British Association of Urological Surgeons nephrectomy register from 2008 to 2017. PATIENT AND METHODS: All nephrectomies within the dataset for this time period were analysed (n = 54 251). Cases were divided into radical nephrectomy (RN), partial nephrectomy (PN) and nephroureterectomy (NU). Simple nephrectomy, donor nephrectomy and benign PN were excluded. The annual frequencies for each oncological nephrectomy method, surgical approach, grade of surgeon, hospital caseload numbers and short-term surgical outcomes were determined. RESULTS: Reported annual nephrectomy numbers increased by 2.5-fold in the 9-year time period. The number of hospitals performing nephrectomies decreased by 22%, however, more than 40% of centres performed more than 70 cases a year. There was a trend towards a decrease in overall length of hospital stay (9 vs 5 days; P < 0.01) and decreased transfusion rates. The proportion of minimally invasive procedures increased from 57% to 75%, with nephron-sparing rates increasing from 8.9% overall to 24.8%. With regard to surgical technique, robot-assisted surgery saw a mean annual increase of 222%. Overall, there was a 10% decrease in the proportion of PNs performed by trainee surgeons. CONCLUSIONS: Renal surgery has changed considerably with regard to volume and also surgical approach, with rates of nephron-sparing surgery and minimally invasive surgery significantly increasing. Increasing hospital centralization and institutional experience, and a shift to robot-assisted surgery appear to have contributed to the observed improved patient outcomes. The increasing utilization of robot-assisted surgery has potential implications and challenges for the training of future urology surgeons.

Assessment of Advanced Perioperative Outcomes to Identify the True Learning Curve of Robotic-assisted Partial Nephrectomy.

OBJECTIVES: To evaluate the learning curve of robotic-assisted partial nephrectomy as it pertains to operative time (OT) and advanced perioperative variables such as achievement of trifecta, postoperative complications, 30-day readmission rates (RR), warm ischemia time (WIT), and functional volume loss (FVL). METHODS: We evaluated 418 consecutive robotic-assisted partial nephrectomy performed by a single surgeon between February 2008 and April 2019. Multivariable log-log regression models were used to evaluate the associations between case number and continuous outcomes (OT, WIT, and FVL). Multivariable logistic regression models were used to evaluate the association of case number with dichotomous outcomes (trifecta, postoperative complications, RR). RESULTS: Among the 406 eligible patients included in the study, 252 (62.1%) were male, median age was 63 years (range, 22-84), and median body mass index was 29 kg/m2 (interquartile range 26-33). Surgeon experience was associated with shorter OT (-2.5% per 50% increase in case number; 95% confidence interval; P <.001) and plateaus around 77 cases performed. There was slight improvement with trifecta (odds ratio [per 50% increase in cases] = 1.08; 95% confidence interval) and the plateau was also at 77 cases, however, this was not statistically significant (P = .086). We did not find statistically significant associations of surgeon experience with FVL (P = .77), postoperative complications (P = .74), WIT (P = .73), or 30-day RR (P = .33). CONCLUSION: There does not appear to be a relationship between surgical experience and grade 3 or higher postoperative complications, 30-day RR, WIT, or FVL. Trifecta outcomes and maximum OT performance appear to be optimized at approximately 77 cases.

Cadaveric Models for Renal Transplant Surgery Education: a Comprehensive Review.

PURPOSE OF REVIEW: To evaluate the utility of cadaveric models for kidney transplant (KT) surgery training. RECENT FINDINGS: Medline® and PubMed® databases were searched for English and Spanish language articles published describing different learning models used in KT formation. We evaluated the use of cadavers preserved by Thiel's embalming method (TEM) as KT simulation models. Students were divided in groups of 4 people: four trainees mentored by an expert in KT surgery. Among the trainees were surgical residents and low-experience surgeons. A total of 39 TEM preserved bodies were used, of which 75 viable renal grafts were obtained. In each cadaver, two complete transplantation processes were performed, each consisting of en bloc nephrectomy with the trunk of aorta and inferior vena cava, bench surgery and perfusion with saline of the organ, and KT surgery. As with any surgical procedure, learning KT surgery is a stepwise process that requires years of dedication. The models available for the surgical simulation of KT surgery allow to practice and achieve dexterity in performing the procedure in a safe and reproducible way. Training on TEM-preserved corpses offers a highly realistic model for the surgical simulation of KT surgery.

Initial learning curve for robot-assisted partial nephrectomy performed by a single experienced robotic surgeon.

INTRODUCTION: The objective of this study was to evaluate the initial learning curve for robot-assisted partial nephrectomy (RAPN) using the da Vinci Xi Surgical System (Intuitive Surgical, Sunnyvale, California). METHODS: This study included the initial 65 consecutive patients with small renal tumors who had undergone RAPN at our institution. A single trained surgeon with extensive experience in robot-assisted radical prostatectomy, but not in laparoscopic partial nephrectomy, performed RAPN for all patients using the da Vinci Xi. The learning curve was analyzed by examining the perioperative outcomes among five groups each consisting of 13 consecutive patients. RESULTS: In this series, the median tumor size and R.E.N.A.L. nephrometry score were 23 mm and 7, respectively, and the median console time and warm ischemia time (WIT) were 116 and 15 minutes, respectively. Fifty-eight patients (89.2%) achieved trifecta outcomes, meaning that the ischemic time was ≤25 minutes, there was a negative surgical margin, and no major postoperative complications occurred. Although there were no significant changes in R.E.N.A.L. nephrometry scores over time, increased surgeon experience was significantly associated with a shorter console time and WIT. Drawing logarithmic approximation curves enabled the achievement of a console time ≤150 minutes and WIT ≤20 minutes at the sixth and fourth procedures, respectively. Furthermore, multivariate analysis identified an independent correlation between surgeon experience with WIT, but not with console time. CONCLUSION: These findings suggest that regardless of a surgeon's prior experience in laparoscopic partial nephrectomy, an experienced robotic surgeon can perform RAPN using the da Vinci Xi with acceptable perioperative outcomes after a small number of procedures.

Extirpative renal surgery volume in training: different roads to the (same?) destination.

PURPOSE: To describe the overall extirpative renal surgery (ERS) training volume reported by PU and PS. METHODS: Case log data from the Accreditation Council for Graduate Medical Education (ACGME) was examined from 2013-2016 for surgery residents (Sres), urology residents (Ures), pediatric surgery fellows (PSfel) and pediatric urology fellows (PUfel). Case log information for all levels of participation over all case categories that could potentially offer ERS volume were recorded. Volume was estimated using the mean number of included cases during residency and fellowship and the sum was used to estimate total training volume. Volume between groups was compared using the student's t test. RESULTS: Case logs were included for 4447 residents (4259 Sres, 840 Ures) and fellows (188 PSfel, 71 PUfel). Mean PU volume was 113.1, which was higher than the mean PS volume of 10.3 (p < 0.001). For PU, more ERS were performed during residency than fellowship (p < 0.001). For PS the opposite was true (p < 0.001). When examining fellow training only, PUfel performed more ERS than PSfel (11.7 vs. 7.0 p < 0.001). CONCLUSION: While previous publications note similar short-term outcomes for ERS for malignancy for PU and PS, ERS case volume during training is significantly different. Review of recent ACGME data indicate that PU have more overall experience with ERS, with most gained during residency. Additionally, PUfel performed significantly more ERS than PSfel. Further study into how these training differences affect long-term outcomes is necessary.

Cumulative sum analysis of learning curve for video-assisted mini-laparotomy partial nephrectomy in renal cell carcinoma.

Video-assisted mini-laparotomy surgery (VAMS), a hybrid of open and laparoscopic surgical techniques, is an important surgical approach in the field of partial nephrectomy. The learning curve for VAMS partial nephrectomy has not been studied to date; we therefore, evaluated this learning curve.We prospectively evaluated 20 consecutive patients who underwent VAMS partial nephrectomy performed by a single surgeon (YEY) between March 2015 and December 2016. The learning curve was evaluated using the cumulative sum method. The measure of surgical performance was composed of 3 parameters (total operation time [Op time], warm ischemic time [WIT], and estimated blood loss [EBL]).Among the 20 patients who underwent VAMS partial nephrectomy, the mean age was 54.6 years. The mean Op time and WIT were 172.5 and 28.8 minutes, respectively. The learning curve for the Op time, WIT, and EBL consisted of 3 unique phases: phase 1 (the first 7 cases), phase 2 (the next 5 to 7 cases), and phase 3 (all subsequent cases). Phase 1 represents the initial learning curve, and the phase 2 plateau represents the period of expert competency. Phase 3 represents when one is competent in VAMS partial nephrectomy.The learning curve for VAMS partial nephrectomy is relatively short and after a learning curve of approximately 7 cases, the surgeon became familiar with VAMS partial nephrectomy; after 12 to 14 cases, the surgeon became competent in this procedure.

The ERUS Curriculum for Robot-assisted Partial Nephrectomy: Structure Definition and Pilot Clinical Validation.

BACKGROUND: No validated training program for robot-assisted partial nephrectomy (RAPN) exists. OBJECTIVE: To define the structure and provide a pilot clinical validation of a curriculum for robot-assisted partial nephrectomy (RAPN). DESIGN, SETTING, AND PARTICIPANTS: A modified Delphi consensus methodology involving 27 experts defined curriculum structure. One trainee completed the curriculum under the mentorship of an expert. A total of 40 patients treated with curriculum RAPN (cRAPN) were compared with 160 patients treated with standard of care (sRAPN). OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS: To define curriculum structure, consensus was defined as ≥90% expert agreement. To investigate curriculum safety, perioperative morbidity, renal function, and pathologic outcomes were evaluated. To investigate curriculum efficacy, RAPN steps and modules attempted and completed by the trainee were evaluated. Propensity score matching identified comparable cRAPN and sRAPN cases. Mann-Whitney U test, chi-square test, and linear regression were used to investigate the impact of the curriculum on patient's outcome and the impact of trainee's experience on surgical independence. RESULTS AND LIMITATIONS: Consensus-based key statements defined curriculum structure. No difference was recorded between cRAPN and sRAPN with respect to intraoperative or overall and grade-specific postoperative complications, blood loss, ischemia time, postoperative estimated glomerular filtration rate, and positive surgical margins (all p>0.05). Conversely, operative time was longer after cRAPN (p<0.0001). The trainee completed all phases of the curriculum and the trainee's experience was associated with more steps attempted/completed and increasing complexity of module attempted/completed (all p<0.0001). The limitations of the study are the enrolment of a single trainee at a single institution and the small sample size. Accordingly, the large confidence intervals observed cannot exclude inferior outcomes in case of cRAPN and further study is required to confirm safety. CONCLUSIONS: The European Association of Urology (EAU) Robotic Urology Section (ERUS) curriculum for RAPN can protect patients from suboptimal outcome during the learning curve of the surgeon and can aid surgeons willing to start an RAPN program. PATIENT SUMMARY: Patients should be aware that structured training programs can reduce the risk of suboptimal outcome due to the learning curve of the surgeon.

Fellowship and Subspecialization in Urology: An Analysis of Robotic-assisted Partial Nephrectomy.

OBJECTIVE: To evaluate the impact of a urologic fellowship on physician case-volume and immediate patient outcomes, and to assess predictors of undergoing a robotic-assisted partial nephrectomy by a fellowship-trained (FT) urologist. METHODS: We retrospectively reviewed all robotic (ICD-9 17.4) partial nephrectomies (PN; ICD-9 55.4) reported in the Statewide Planning and Research Cooperative Systems (SPARCS) database of New York State (NYS) from 2009 to 2014. Perioperative outcomes assessed included length of stay, 30-day readmission rates, 90-day readmission rates, and complication rates. Pearson chi-square tests were used to compare categorical variables, and unpaired Student t tests were used to assess continuous variables. RESULTS: FT urologists performed 2199 (56%) RAPN during the study period, and nonfellowship trained (NFT) urologists completed 1700 (44%) RAPN. FT urologists performed more RAPN in teaching hospitals than NFT urologists (23% vs 7%). The average surgical volume per year for a FT urologist conducting RAPN was 9.6 ± 2.2 cases/y. NFT urologists had an average surgical volume of 7.2 ± 1.5 cases/y (P = <.0001). No significant difference was found in length of stay, 30- or 90-day readmission rate, or complication rate between the groups. RAPN conducted at teaching hospitals were more likely to be conducted by FT urologists. Patients who were self-payers were less likely to have a RAPN by FT urologists. CONCLUSION: There were no differences for RAPN perioperative outcomes between FT urologists and their NFT peers. FT urologists perform a higher case-volume of RAPN in NYS, and this trend is increasing.

Initial Experience With Hand-Assisted Laparoscopic Living Donor Nephrectomy: Training and Clinical Practice as a General Surgeon.

BACKGROUND: To analyze our initial results of hand-assisted laparoscopic living donor nephrectomy, executed by a skilled gastrointestinal surgeon. METHODS: A total of 22 consecutive patients underwent the hand-assisted laparoscopic living donor nephrectomy between December 2014 and January 2017. We retrospectively analyze the patient's perioperative clinical data, which were collected prospectively. RESULTS: The right kidney was harvested in 12 patients. The mean operative time and intraoperative blood loss was 241.0 ± 43.4 minutes (range, 140-310 min) and 293.2 ± 203.1 mL (range, 50-700 mL), respectively. The mean warm ischemic time was 288.4 ± 103.4 seconds (range, 179-610 s). Postoperative complications included chyle leakage in 2 patients who were left kidney donors and oliguria in 1 patient who was a right kidney donor. All patients recovered with conservative care, and the mean hospital stay was 7.5 ± 1.7 days. The mean creatinine level was 0.7 ± 0.2 mg/dL before surgery, 1.1 ± 0.3 mg/dL at postoperative day (POD) 1, and 1.0 ± 0.2 mg/dL after discharge. The mean glomerular filtration rate was 97.9 ± 18.2 mL/min/1.73 m2 before surgery, 60.7 ± 10.4 at POD 1, and 67.3 ± 11.1 after discharge. Operation time was not associated with patient body mass index and case number. No significant differences, other than postoperative complications, were found in the perioperative data for the side of kidney donation. CONCLUSION: A skilled surgeon with experience in laparoscopic abdominal surgery (such as gastrectomy or colectomy) might safely perform hand-assisted donor nephrectomy. However, we could not identify a clear case number to complete the learning curve.