Prior Robotic Experience Research Articles

Analysis of Initial Outcomes of Gas-insufflation One-step Single-port Transaxillary (GOSTA) Robotic Thyroidectomy for Thyroid Cancer.

This study compared the initial outcomes of gas-insufflation one-step single-port transaxillary (GOSTA) robotic thyroidectomy with traditional open thyroidectomy for thyroid cancer at a single institution. A retrospective analysis was conducted on 77 patients who underwent thyroidectomy for differentiated thyroid cancer from January to June 2024. Exclusion criteria included benign nodules, Graves' disease, and previous thyroid surgeries. Two surgeons performed the procedures, with one having no prior robotic surgery experience. Of the 77 patients, 48 underwent open thyroidectomy and 29 underwent GOSTA thyroidectomy. The GOSTA group had a significantly lower mean age (40.1 vs. 47.6 years, p=0.002) and a higher proportion of female patients (p=0.040). The open group patients had more harvested lymph nodes than the GOSTA group patients (7.9 vs. 2.4, p<0.001). The GOSTA group patients had longer operation time (156.4 vs. 80.6 min, p<0.001), and had extended hospital stay than the open group patients (5.9 vs. 3.4 days, p<0.001). Complication rates were similar between the groups. GOSTA robotic thyroidectomy provides comparable safety and effectiveness to open thyroidectomy, with improved cosmetic outcomes despite longer operation times and hospital stays. This technique is feasible for surgeons without prior robotic experience, offering a viable alternative for patients prioritizing cosmetic results.

Implementation of the Versius robotic surgical system for thoracic surgery: first clinical evaluation of feasibility and performance.

The aim of this study is to demonstrate the ability of the Versius surgical system to successfully and safely complete a range of thoracic procedures aligned with Stage 2a (Development) of the Idea, Development, Exploration, Assessment and Long-term follow-up framework for surgical innovation. This prospective study included the first 30 consecutive patients who underwent robotic surgery with Versius by 2 surgeons without prior robotic experience between 1 April 2023 and 30 December 2023 [25 lung resections (wedge, segmentectomy and lobectomy) and 5 thymectomies]. There were no specific predetermined selection criteria for each case. The primary outcome was safe completion of the procedure without unplanned conversion. Secondary outcomes included intraoperative and postoperative complications, intraoperative device-related outcomes and pathology results. Twenty-eight (93.3%) cases were completed without conversion. Both conversions were to thoracoscopy, one due to a 'console alarm' and the other due to pulmonary artery bleeding. In lung resections, median console time was 103 (90-129) min. Five (20%) patients experienced postoperative complications, most frequent was persistent air leak (16%). Median length-of-stay was 3 (2-4) days. Neither readmissions nor mortality was observed. In thymectomies, no intraoperative or postoperative complications, readmissions, reinterventions or mortality were observed. Median console time was 77 (75-89) min and median length of stay was 1 (1-1) day. This phase 2a IDEAL-D study confirms lung resections and thymectomies are feasible with the use of Versius system, laying the foundation for larger phase 2b and 3 clinical studies within the IDEAL-D framework.

772 Assessing the Impact of Gaming Skills on Robotic Surgical Skill Acquisition and Learning Curves

Abstract Robotic surgery has rapidly advanced across various medical specialties over the past decade. Extensive research has confirmed the benefits of robotic surgery, leading to improved surgical outcomes and patient satisfaction. Historically, only highly experienced consultants in laparoscopic and open surgery received training in robotic surgery to the detriment of junior surgical trainees. Virtual reality simulators have introduced gamification to enhance surgical skills. Studies have shown that individuals with gaming experience, musical aptitude, and sports backgrounds exhibit improved psychomotor skills relevant to surgery, including hand-eye coordination, reaction time, and visuospatial awareness. Despite this, there is a lack of research on how gaming and musical abilities impact robotic surgical skill acquisition and learning curves. This prospective, observational, and comparative study involved 15 novice surgeons with no prior robotic experience recruited from various UK medical institutions. Participants were divided into two groups based on their video game experience. While statistical significance was not reached (p 0.26), an observed trend favoured the gaming cohort's performance (M 56.29, SD 57.85) on the robotic surgical simulator compared to the non-gamer group (M 38.41, SD 46.77) possibly due to the limited sample size. Gamers exhibited notably superior reaction time scores (p 0.037) Additionally, gamers demonstrated enhanced overall performance in spatial reasoning and the Beat Saber game, assessing hand-eye coordination, though these differences did not reach statistical significance. This study suggests that video gaming experience may provide novice surgeons with certain advantages when beginning training on the high-fidelity dVSS robotic surgical simulator. Further research with larger participant groups may confirm these findings.

Laparoscopic vs robotic inguinal hernia repair: a comparison of learning curves and skill transference in general surgery residents.

There is no consensus on whether laparoscopic experience should be a prerequisite for robotic training. Further, there is limited information on skill transference between laparoscopic and robotic techniques. This study focused on the general surgery residents' learning curve and skill transference within the twominimally invasive platforms. General surgery residents were observed during the performance of laparoscopic and robotic inguinal hernia repairs. The recorded data included objective measures (operative time, resident participation indicated by percent active time on console or laparoscopy relative to total case time, number of handoffs between the resident and attending), and subjective evaluations (preceptor and trainee assessments of operative performance) while controlling for case complexity, patient comorbidities, and residents' prior operative experience. Wilcoxon two-sample tests and Pearson Correlation coefficients were used for analysis. Twenty laparoscopic and forty-four robotic cases were observed. Mean operative times were 90min for robotic and 95min for laparoscopic cases (P = 0.4590). Residents' active participation time was 66% on the robotic platform and 37% for laparoscopic (P = < 0.0001). On average, hand-offs occurred 9.7 times during robotic cases and 6.3 times during laparoscopic cases (P = 0.0131). The mean number of cases per resident was 5.86 robotic and 1.67 laparoscopic (P = 0.0312). For robotic cases, there was a strong correlation between percent active resident participation and their prior robotic experience (r = 0.78) while there was a weaker correlation with prior laparoscopic experience (r = 0.47). On the other hand, prior robotic experience had minimal correlation with the percent active resident participation in laparoscopic cases (r = 0.12) and a weak correlation with prior laparoscopic experience (r = 0.37). The robotic platform may be a more effective teaching tool with a higher degree of entrustability indicated by the higher mean resident participation. We observed a greater degree of skill transference from laparoscopy to the robot, indicated by a higher degree of correlation between the resident's prior laparoscopic experience and the percent console time in robotic cases. There was minimal correlation between residents' prior robotic experience and their participation in laparoscopic cases. Our findings suggest that the learning curve for the robot may be shorter as prior robotic experience had a much stronger association with future robotic performance compared to the association observed in laparoscopy.

Randomized controlled trial of the CMR immersive virtual reality (IVR) headset training compared to e-learning for operating room configuration of the CMR versius robot

Robotic surgery offers potential advantages over laparoscopic procedures, but the training for configuring robotic systems in the operating room remains underexplored. This study seeks to validate immersive virtual reality (IVR) headset training for setting up the CMR Versius in the operating room. This single-blinded randomized control trial randomised medical students with no prior robotic experience using an online randomiser. The intervention group received IVR headset training, and the control group, e-learning modules. Assessors were blinded to participant group. Primary endpoint was overall score (OS): Likert-scale 1–5: 1 reflecting independent performance, with increasing verbal prompts to a maximum score of 5, requiring physical assistance to complete the task. Secondary endpoints included task scores, time, inter-rater reliability, and concordance with participant confidence scores. Statistical analysis was performed using IBM SPSS Version 27. Of 23 participants analysed, 11 received IVR and 12 received e-learning. The median OS was lower in the IVR group than the e-learning group 53.5 vs 84.5 (p < 0.001). VR recipients performed tasks independently more frequently and required less physical assistance than e-learning participants (p < 0.001). There was no significant difference in time to completion (p = 0.880). Self-assessed confidence scores and assessor scores differed for e-learning participants (p = 0.008), though not IVR participants (p = 0.607). IVR learning is more effective than e-learning for preparing robot-naïve individuals in operating room set-up of the CMR Versius. It offers a feasible, realistic, and accessible option in resource-limited settings and changing dynamics of operating theatre teams. Ongoing deliberate practice, however, is still necessary for achieving optimal performance. ISCRTN Number 10064213.

Transferability of Technical Skills Across Robotic Surgery Platforms: A Scoping Review.

As the application of robotic approaches to surgery continues to broaden, new consoles have been introduced to the market. Due to the global utilization of a single platform, previously validated curricula have not been assessed on new robotic systems. Surgery by its nature occurs in a high-stakes environment, potentially exacerbated by non-standardized robotic systems. The aim of this review is to critique the evidence available regarding the transferability of technical skills across robotic platforms. A scoping review utilizing the Medline (Pubmed) and Cochrane Databases was conducted. Full texts were reviewed and appraised. Selected articles were eligible for inclusion if they investigated the ability or implications of the transfer of skill across robotic platforms. Data was extracted, coded inductively, and themes synthesized. NVIVO software was used as an adjunct for this qualitative analysis. Following the removal of duplicates a total of 278 papers were screened according to the eligibility criteria. Fifty full-text articles were reviewed and four met the criterion for inclusion. Novices' performance across platforms was comparable. Increasing levels of prior robotic experience revealed an improvement in technical performance on a novel robotic platform. Safety metrics appear comparable across systems. Quantifying learning curves across robotic platforms and their implications for the robotic surgeon in training remains to be determined. Future research needs to address the gaps in the literature by clearly defining the extent of technical skills transfer between robotic platforms. These factors will guide the next iteration of surgical training curriculums and regulations for robotic surgery.

Format for safe introduction of robotic esophagectomy

The aim of this study is to review the current literature on the learning curve for robotic-assisted minimally invasive esophagectomy (RAMIE) and explore strategies for introducing and implementing RAMIE. A literature search of electronic databases (Pubmed and Science Direct) was conducted using multiple combinations and synonyms of the keywords “esophageal cancer”, “robotic esophagectomy”, “RAMIE”, and “learning curve” up to March 31, 2023. In total, eighteen studies were included. Fourteen studies reported on surgeons with experience in minimally invasive surgery. Seven studies reported on surgeons with prior robotic experience for benign diseases or experience as observant or assistant in robotic surgery or experience on cadaveric robotic training. Four studies reported on a specific training pathway. The learning curve was mostly analyzed using the cumulative sum control chart (CUSUM). The most commonly used measured variables were the total operation time, the thoracic and abdominal console time, the lymph node yield, and vocal cord palsy rates. Τhe learning curve plateaus for the total operative time, the vocal cord palsy rates, and the lymph node yield varied between 20-80, 15-80, and 18-73 cases, respectively. At present, several centers are increasingly adopting RAMIE for esophageal cancer. Education about the learning curve of RAMIE is crucial for the training pathway in order to safely introduce RAMIE in centers without pre-existing robotic esophagectomy experience.

Validity evidence for procedural competency in virtual reality robotic simulation, establishing a credible pass/fail standard for the vaginal cuff closure procedure.

The use of robotic surgery for minimally invasive procedures has increased considerably over the last decade. Robotic surgery has potential advantages compared to laparoscopic surgery but also requires new skills. Using virtual reality (VR) simulation to facilitate the acquisition of these new skills could potentially benefit training of robotic surgical skills and also be a crucial step in developing a robotic surgical training curriculum. The study's objective was to establish validity evidence for a simulation-based test for procedural competency for the vaginal cuff closure procedure that can be used in a future simulation-based, mastery learning training curriculum. Eleven novice gynaecological surgeons without prior robotic experience and 11 experienced gynaecological robotic surgeons (> 30 robotic procedures) were recruited. After familiarization with the VR simulator, participants completed the module 'Guided Vaginal Cuff Closure' six times. Validity evidence was investigated for 18 preselected simulator metrics. The internal consistency was assessed using Cronbach's alpha and a composite score was calculated based on metrics with significant discriminative ability between the two groups. Finally, a pass/fail standard was established using the contrasting groups' method. The experienced surgeons significantly outperformed the novice surgeons on 6 of the 18 metrics. The internal consistency was 0.58 (Cronbach's alpha). The experienced surgeons' mean composite score for all six repetitions were significantly better than the novice surgeons' (76.1 vs. 63.0, respectively, p < 0.001). A pass/fail standard of 75/100 was established. Four novice surgeons passed this standard (false positives) and three experienced surgeons failed (false negatives). Our study has gathered validity evidence for a simulation-based test for procedural robotic surgical competency in the vaginal cuff closure procedure and established a credible pass/fail standard for future proficiency-based training.

Impact of learning curve on the perioperative outcomes following robot-assisted partial nephrectomy for renal tumors.

Introduction:Robot-assisted partial nephrectomy (RAPN) is an established, minimally invasive technique to treat patients with renal masses. The aim of this study was to assess the learning curve (LC) of RAPN, evaluate its impact on perioperative outcomes following RAPN and to study the role of surgeon experience in achieving “trifecta” outcomes following RAPN.Methods:We prospectively analyzed the clinical and pathological outcomes of 108 consecutive patients who underwent RAPN for renal tumors from January 2012 to December 2016 by a laparoscopy trained surgeon with no prior robotic experience. We used warm ischemia time (WIT) <20 min, operative time <120 min, and blood loss <100 ml as endpoints for plotting the LCs. Trifecta was analyzed in relation to our LC.Results:Surgeon experience was found to correlate with WIT, operative time, and blood loss. Overall 18.5% of patients developed complications. Complication rate reduced with increasing surgeon experience. LC was 44 cases for WIT ≤20 min, 44 cases for operative time <120 min, and 54 cases for blood loss <100 ml. Trifecta outcome was achieved in 67.6% patients overall and was found to correlate with increasing surgeon experience. Improvement in trifecta outcomes continued to occur beyond the LC.Conclusions:RAPN is a viable option for nephron-sparing surgery in patients with renal carcinoma. For a surgeon trained in laparoscopy, acceptable perioperative outcomes following RAPN can be achieved after an LC of about 44 cases. Increasing surgeon experience was associated with improved “trifecta” achievement following RAPN.

Robotic skills can be aided by laparoscopic training.

General Surgery is currently the fastest growing specialty with regards to robotic surgical system utilization. Contrary to the experience in laparoscopy, simulator training for robotic surgery is not widely employed partly because robotic surgical simulators are expensive. We sought to determine the effect of a robotic simulation curriculum and whether robotic surgical skills could be derived from those psychomotor skills attained in laparoscopic training. Twenty-seven trainees with no prior robotic experience and limited laparoscopy exposure were randomly assigned to one of three training groups: no simulator training, training on a fundamentals of laparoscopic surgery (FLS™) standard box trainer, and training on a robotic computer based simulator (da Vinci Skills Simulator™). Baseline robotic surgical skills were assessed on the clinical robot docked to a standard FLS trainer box on two tasks-intracorporeal knot tying and peg transfer. Subjects subsequently underwent four 1-h long training sessions in their assigned training environment over a course of several weeks. Robotic surgical skills were reassessed on the robot on the same two tasks used to assess skills prior to training. FLS training resulted in a greater score improvement than no training for both knot and peg scores. FLS training was also determined to result in greater score improvement than robotic simulator training for knot tying. There was no significant difference in peg transfer or knot tying scores when comparing robotic simulator training and no training. Robotic surgical skills can be in part derived from psychomotor skills developed in a laparoscopic trainer, especially for complex skills such as intracorporeal knot tying. Acquisition of robotic surgical skills may be enhanced by practice on a laparoscopic simulator using the FLS curriculum. This may be especially helpful when a robotic simulator is not available or is poorly accessible.

Baseline Laparoscopic Skill May Predict Baseline Robotic Skill and Early Robotic Surgery Learning Curve.

Robotic surgery is associated with a learning curve unique to each trainee. Knowledge about a trainee's baseline skill and learning curve would facilitate the development of a more individualized training curriculum. The aim of our study was to determine whether baseline laparoscopic skill is predictive of one's baseline robotic skill and short-term learning curve. Trainees from four different surgical specialties were included in the study. Each trainee participated in a 4-week, simulation-based robotic surgery basic skills training course. Precourse, baseline laparoscopic and robotic skills were assessed using validated test tasks; a basic peg transfer (PT) and an advanced intracorporeal suturing and knot tying (ISKT) task. Trainee robotic skill was assessed again 1 week postcourse. Each task performance was video recorded and scored by two blinded expert surgeons. A total of 32 trainees were included; 14 urology, 7 gynecology, 8 thoracic Sx, 3 general Sx. Most (91%) were senior residents or clinical fellows and 50% had no prior robotic experience. There were no differences in baseline laparoscopic and robotic skill related to reported prior robotic experience. Between specialties, no differences were seen on baseline laparoscopic skill and only small differences were seen on baseline robotic skill. Both baseline Lap PT (p = 0.01) and Lap ISKT (p = 0.01) performances correlated with baseline robotic ISKT performance, but not robotic PT scores. Only baseline Lap ISKT performance correlated with postcourse robotic PT (p = 0.01) and ISKT (p < 0.01) performance. Baseline robotic ISKT scores, but not PT scores, correlated with postcourse robotic performance (p = 0.02 for PT, p < 0.01 for ISKT). In this study, a trainee's baseline laparoscopic skill correlated with certain baseline robotic skills. Better baseline performance on an advanced, but not basic, laparoscopic and robotic skill task may correlate with a shorter learning curve for basic robotic skills. Further exploration of this finding may yield better training curricula.

General surgery training and robotics: Are residents improving their skills?

While robotic-assisted operations have become more prevalent, many general surgery residencies do not have a formal robotic training curriculum. We sought to ascertain how well current general surgery training permits acquisition of robotic skills by comparing robotic simulation performance across various training levels. Thirty-six participants were categorized by level of surgical training: eight medical students (MS), ten junior residents (JR), ten mid-level residents (MLR), and eight senior residents (SR). Participants performed three simulation tasks on the da Vinci (®) Skills Simulator (MatchBoard, EnergyDissection, SutureSponge). Each task's scores (0-100) and cumulative scores (0-300) were compared between groups. There were no differences in sex, hand dominance, video gaming history, or prior robotic experience between groups; however, SR was the oldest (p < 0.001). The median overall scores did not differ: 188 (84-201) for MS, 183 (91-234) for JR, 197 (153-218) for MLR, and 205 (169-229) for SR (p = 0.14). The median SutureSponge score was highest for SR (61, range 39-81) compared to MS (43, range 26-61), JR (43, range 11-72), and MLR (55, range 36-68) (p = 0.039). However, there were no significant differences in MatchBoard (p = 0.27) or EnergyDissection (p = 0.99) scores between groups. There was a positive correlation between SutureSponge score and number of laparoscopic cases logged (p = 0.005, r(2) = 0.21), but this correlation did not exist for the MatchBoard or EnergyDissection tasks. Lastly, there was no correlation between total lifetime hours of video gaming and overall score (p = 0.89, R(2) = 0.0006). Robotic skillsets acquired during general surgery residency show minimal improvement during the course of training, although laparoscopic experience is correlated with advanced robotic task performance. Changes in residency curricula or pursuit of fellowship training may be warranted for surgeons seeking proficiency.

Obstetric and Gynecology Fellowship Program Directors at High Robotic Volume Institutions Have Higher Expectations of Incoming Fellows’ Prior Robotic Experience

Obstetric and Gynecology Fellowship Program Directors at High Robotic Volume Institutions Have Higher Expectations of Incoming Fellows’ Prior Robotic Experience

The da vinci robot system eliminates multispecialty surgical trainees' hand dominance in open and robotic surgical settings.

Background and Objectives:Handedness, or the inherent dominance of one hand's dexterity over the other's, is a factor in open surgery but has an unknown importance in robot-assisted surgery. We sought to examine whether the robotic surgery platform could eliminate the effect of inherent hand preference.Methods:Residents from the Urology and Obstetrics/Gynecology departments were enrolled. Ambidextrous and left-handed subjects were excluded. After completing a questionnaire, subjects performed three tasks modified from the Fundamentals of Laparoscopic Surgery curriculum. Tasks were performed by hand and then with the da Vinci robotic surgical system (Intuitive Surgical, Sunnyvale, California). Participants were randomized to begin with using either the left or the right hand, and then switch. Left:right ratios were calculated from scores based on time to task completion. Linear regression analysis was used to determine the significance of the impact of surgical technique on hand dominance.Results:Ten subjects were enrolled. The mean difference in raw score performance between the right and left hands was 12.5 seconds for open tasks and 8 seconds for robotic tasks (P < .05). Overall left-right ratios were found to be 1.45 versus 1.12 for the open and robot tasks, respectively (P < .05). Handedness significantly differed between robotic and open approaches for raw time scores (P < .0001) and left-right ratio (P = .03) when controlling for the prior tasks completed, starting hand, prior robotic experience, and comfort level. These findings remain to be validated in larger cohorts.Conclusion:The robotic technique reduces hand dominance in surgical trainees across all task domains. This finding contributes to the known advantages of robotic surgery.

Da Vinci Skills Simulator Construct Validation Study: Correlation of Prior Robotic Experience With Overall Score and Time Score Simulator Performance

To assess the construct validity of the da Vinci Skills Simulator (Intuitive Surgical, Sunnyvale, CA). Ideally, a well-designed simulator should demonstrate construct validity, which is defined in this study as the correlation between robotic surgical experience and performance on the simulator. Thirty-nine surgeons (18 [46%] group I [0-20 robotic cases]; 8 [21%] group II [21-150 robotic cases]; and 13 [33%] group III [>150 robotic cases]) were enrolled from September 2010 to December 2010. Participants completed 24 virtual-reality exercises on the da Vinci Skills Simulator. Data on 12 performance metrics were collected by the software. Overall means for score and time across exercises were analyzed. Overall scores (64.7%/79.1%/87.4%) and time scores (39.1%/58.6%/87.3%) were significantly different among surgeons in groups I-III (P <.001) and demonstrated significant linear relationships (P <.001) for all 24 exercises. Comparisons between the 3 groups using a univariate general linear model (GLM) was used to compare groups I and II and II and III. Groups I and II differed using overall score for 15 exercises and time score for 11 exercises. Groups II and III differed using overall score for 6 exercises and time score for 15 exercises. Mean overall score for 1 exercise displayed significance between both groups I and II and II and III; while using time score, 5 exercises displayed significance between surgeons in groups I and II and II and III. Initial construct validity analysis revealed that both overall scores and time scores showed a significant linear relationship when comparing the surgeons in groups I, II, and III. Overall score seems to be a stronger indicator for differences between surgeons in groups I and II. Time score seems to be a stronger indicator for differences between surgeons in groups II and III.

Comprehensive proficiency-based inanimate training for robotic surgery: reliability, feasibility, and educational benefit

We previously developed a comprehensive proficiency-based robotic training curriculum demonstrating construct, content, and face validity. This study aimed to assess reliability, feasibility, and educational benefit associated with curricular implementation. Over an 11-month period, 55 residents, fellows, and faculty (robotic novices) from general surgery, urology, and gynecology were enrolled in a 2-month curriculum: online didactics, half-day hands-on tutorial, and self-practice using nine inanimate exercises. Each trainee completed a questionnaire and performed a single proctored repetition of each task before (pretest) and after (post-test) training. Tasks were scored for time and errors using modified FLS metrics. For inter-rater reliability (IRR), three trainees were scored by two raters and analyzed using intraclass correlation coefficients (ICC). Data from eight experts were analyzed using ICC and Cronbach's α to determine test-retest reliability and internal consistency, respectively. Educational benefit was assessed by comparing baseline (pretest) and final (post-test) trainee performance; comparisons used Wilcoxon signed-rank test. Of the 55 trainees that pretested, 53 (96 %) completed all curricular components in 9-17 h and reached proficiency after completing an average of 72 ± 28 repetitions over 5 ± 1 h. Trainees indicated minimal prior robotic experience and "poor comfort" with robotic skills at baseline (1.8 ± 0.9) compared to final testing (3.1 ± 0.8, p < 0.001). IRR data for the composite score revealed an ICC of 0.96 (p < 0.001). Test-retest reliability was 0.91 (p < 0.001) and internal consistency was 0.81. Performance improved significantly after training for all nine tasks and according to composite scores (548 ± 176 vs. 914 ± 81, p < 0.001), demonstrating educational benefit. This curriculum is associated with high reliability measures, demonstrated feasibility for a large cohort of trainees, and yielded significant educational benefit. Further studies and adoption of this curriculum are encouraged.

Robotic suturing on the FLS model possesses construct validity, is less physically demanding, and is favored by more surgeons compared with laparoscopy

The value of robotic assistance for intracorporeal suturing is not well defined. We compared robotic suturing with laparoscopic suturing on the FLS model with a large cohort of surgeons. Attendees (n=117) at the SAGES 2006 Learning Center robotic station placed intracorporeal sutures on the FLS box-trainer model using conventional laparoscopic instruments and the da Vinci® robot. Participant performance was recorded using a validated objective scoring system, and a questionnaire regarding demographics, task workload, and suturing modality preference was completed. Construct validity for both tasks was assessed by comparing the performance scores of subjects with various levels of experience. A validated questionnaire was used for workload measurement. Of the participants, 84% had prior laparoscopic and 10% prior robotic suturing experience. Within the allotted time, 83% of participants completed the suturing task laparoscopically and 72% with the robot. Construct validity was demonstrated for both simulated tasks according to the participants' advanced laparoscopic experience, laparoscopic suturing experience, and self-reported laparoscopic suturing ability (p<0.001 for all) and according to prior robotic experience, robotic suturing experience, and self-reported robotic suturing ability (p<0.001 for all), respectively. While participants achieved higher suturing scores with standard laparoscopy compared with the robot (84±75 vs. 56±63, respectively; p<0.001), they found the laparoscopic task more physically demanding (NASA score 13±5 vs. 10±5, respectively; p<0.001) and favored the robot as their method of choice for intracorporeal suturing (62 vs. 38%, respectively; p<0.01). Construct validity was demonstrated for robotic suturing on the FLS model. Suturing scores were higher using standard laparoscopy likely as a result of the participants' greater experience with laparoscopic suturing versus robotic suturing. Robotic assistance decreases the physical demand of intracorporeal suturing compared with conventional laparoscopy and, in this study, was the preferred suturing method by most surgeons. Curricula for robotic suturing training need to be developed.

Multi-Institutional Analysis of Robotic Partial Nephrectomy for Hilar Versus Nonhilar Lesions in 446 Consecutive Cases

BackgroundMinimally invasive approaches to partial nephrectomy have been rapidly gaining popularity but require advanced laparoscopic surgical skills. Renal hilar tumors, due to their anatomic location, pose additional technical challenges to the operating surgeon. ObjectiveWe compared the outcomes of robot-assisted partial nephrectomy (RPN) for hilar and nonhilar tumors in our large multicenter contemporary series of patients. Design, setting, and participantsWe retrospectively reviewed prospectively collected data on 446 consecutive patients who underwent RPN by renal surgeons experienced in minimally invasive techniques at four academic institutions from June 2006 to March 2010. Patients were stratified into two groups: those with hilar lesions and those with nonhilar lesions. MeasurementsPatient demographics, operative outcomes, and postoperative outcomes, including oncologic outcomes, were recorded. Results and limitationsForty-one patients (9%) had hilar renal masses; 405 patients (91%) had nonhilar masses. There was no statistical differences in patient demographics except for larger median tumor size in the hilar cohort (3.2cm vs 2.6cm; p=0.001). The only significant difference in operative outcomes was an increase in warm ischemia times for the hilar group versus the nonhilar group (26.3±7.4min vs 19.6±10.0min; p=<0.0001). There were no differences in postoperative outcomes; however, there was a trend for increased risk of malignancy and higher stage tumors in the hilar lesion group. Final pathologic margin status was similar in both groups. Only one patient in the nonhilar group had evidence of recurrence at 21 mo. The study was limited by the lack of standard anatomic classification of renal tumors and the potential influence of the surgeons’ prior robotic experience. ConclusionsThe data represent the largest series of its kind and strongly suggest that RPN is a safe, effective, and feasible option for the minimally invasive approach to renal hilar tumors with no increased risk of adverse outcomes compared with nonhilar tumors in the hands of experienced robotic surgeons.

Impact of the Learning Curve on Perioperative Outcomes in Patients Who Underwent Robotic Partial Nephrectomy for Parenchymal Renal Tumours

BackgroundRobot-assisted partial nephrectomy (RAPN) is an emerging, minimally invasive technique to treat patients with small renal masses. ObjectiveTo evaluate the impact of the learning curve on perioperative outcomes such as operative times and warm ischaemia times (WIT), blood loss, overall complications, and renal function impairment in patients who underwent RAPN. Design, setting, and participantsWe collected prospectively the clinical and pathologic records of 62 consecutive patients who underwent RAPN between September 2006 and November 2009 for renal tumours at a nonacademic teaching institution by a single surgeon with extensive prior robotic experience. InterventionsThe surgeon used transperitoneal RAPN with excision of an adequate rim of healthy peritumour renal parenchyma. MeasurementsPerioperative parameters, pathologic outcome, and short-term outcomes for renal function were recorded. The effects of the learning curve on the previous reported perioperative and functional outcomes was studied. Results and limitationsThe mean pathologic tumour size was 2.8±1.3cm. A pelvicaliceal repair was needed in 33 cases (53%). The mean console time was 91±33min (range: 52–180), with a mean WIT of 20±7min (range: 9–40). Warm ischaemia (<20min) and console times were optimised after the first 30 (p<0.001) and 20 cases (p<0.001), respectively. Pathologic results yielded a positive surgical margin (PSM) rate of 2%. Mean creatinine level changed from a baseline value of 1.02±0.38mg/dl to 1.1±0.7mg/dl 3 mo after surgery. Estimated glomerular filtration rate changed from a baseline value of 81.17±29 to 80.5±29 (millilitres per minute per 1.73m2) 3 mo postoperatively. ConclusionsRAPN is a viable option for nephron-sparing surgery in patients with renal carcinoma. Specifically, in the hands of a surgeon with extensive robotic experience, RAPN requires a short learning curve to reach WIT <20min, console times <100min, limited blood loss, and acceptable overall complication rates.

UP.62: Advanced Robotic Assisted Laparoscopic Prostatectomy Training: Building The Foundation of a Reproducible Operation

We have hypothesized that the robotic assisted laparoscopic prostatectomy (RALP) may achieve optimal results with a shorter learning curve if trainees are exposed to a thorough curriculum. We previously studied our experience with beginner trainees and found that they required 66% more time to complete steps and spent most of their first 30 cases addressing basic steps. We report the results of 3 trainees with prior robotic experience learning more advanced steps.