Automated performance metrics and surgical gestures: two methods for assessment of technical skills in robotic surgery.

The objective of this study is to compare automated performance metrics (APM) and surgical gestures for technical skills assessment during simulated robot-assisted radical prostatectomy (RARP). Ten novices and six experienced RARP surgeons performed simulated RARPs on the RobotiX Mentor (Surgical Science, Sweden). Simulator APM were automatically recorded, and surgical videos were manually annotated with five types of surgical gestures. The consequences of the pass/fail levels, which were based on contrasting groups' methods, were compared for APM and surgical gestures. Intra-class correlation coefficient (ICC) analysis and a Bland-Altman plot were used to explore the correlation between APM and surgical gestures. Pass/fail levels for both APM and surgical gesture could fully distinguish between the skill levels of the surgeons with a specificity and sensitivity of 100%. The overall ICC (one-way, random) was 0.70 (95% CI: 0.34-0.88), showing moderate agreement between the methods. The Bland-Altman plot showed a high agreement between the two methods for assessing experienced surgeons but disagreed on the novice surgeons' skill level. APM and surgical gestures could both fully distinguish between novices and experienced surgeons in a simulated setting. Both methods of analyzing technical skills have their advantages and disadvantages and, as of now, those are only to a limited extent available in the clinical setting. The development of assessment methods in a simulated setting enables testing before implementing it in a clinical setting.

Evaluation of the learning curve for Thulium fiber laser enucleation of prostate (ThuFLEP): retrospective study of a single-surgeon experience in real-world settings.

PURPOSE: To assess the learning curve of Thulium Fiber Laser Enucleation of prostate (ThuFLEP) of a single surgeon inexperienced in laser endoscopic enucleation of prostate (EEP). METHODS: We retrospectively analyzed all patients with benign prostate hyperplasia undergoing ThuFLEP at our center between January 2022 and August 2023 by one surgeon. Inclusion criteria were International Prostate Symptom Score > 7, prostate volume < 200 g, and maximal urinary flow rate < 15 mL/s. The surgeon was inexperienced in laser EEP and trained by watching educational videos of ThuFLEP before starting to perform the procedure under mentoring during the first 4 cases. Procedural data (enucleation and morcellation efficiency, complications) and functional results up to 3 months were evaluated. Patients were divided into 4 cohorts of 20 consecutive cases to evaluate outcomes evolution throughout time. RESULTS: The mean age of the patients was 69.9 years (SD 7.8) and mean prostate volume was 89.9 g (SD 25.8). Preoperative functional parameters were comparable between the groups. Mean enucleation efficiency (EE) ratio and morcellation efficiency (ME) ratio reached respectively 0.78 g/min (SD 0.55) and 2.49 g/min (SD 1.03) and both variables significantly increased from group 1 to group 3 (p < 0,001). Perioperative complications remained low throughout the caseload with similar significant 3-month functional improvements between all groups. CONCLUSION: This is the first study to evaluate ThuFLEP learning curve for a single surgeon inexperienced in laser EEP with limited mentoring. Under these real-world conditions, nearly 60 cases were needed to complete the learning curve with a complications rate remaining low throughout the training process.

The long-term learning curve of holmium laser enucleation of the prostate (HoLEP) in the en-bloc technique: a single surgeon series of 500 consecutive cases.

PURPOSE: To evaluate perioperative parameters, clinical outcomes, and the learning curve of holmium laser enucleation of the prostate (HoLEP) of a single surgeon in 500 consecutive cases. METHODS: Demographic parameters, outcomes, and adverse events were evaluated. The learning curve for HoLEP in en-bloc technique of the first 500 consecutive patients was analyzed in clusters of 100 (clusters 1-5) using the Wilcoxen rank test, Chi² test and Kruskal Wallis test. RESULTS: Enucleation weight was similar in the clusters 1,2,3, and 5 (62 g, 63 g, 61 g, 61 g), in cluster 4 it was slightly higher at 73 g. There was a significant reduction in operating time from 67 min (cluster 1) to 57 min (cluster 2), 46 min (cluster 3), 53 min (cluster 4), and 43 min (cluster 5), p < 0.001. Enucleation efficiency (g/min) showed a steady increase (1.72, 2.24, 2.79, 2.92 vs. 2.99, p < 0.001). Laser energy efficiency also improved (2.17 vs. 2.12 vs. 1.71 vs. 1.65 vs. 1.55; p < 0.001). There was no measurable learning curve regarding the length of hospital stay (mean 2.5 days), catheterization time (1.9 days), hemoglobin drop (approx. 1 g/dl) or complications (p > 0.1). CONCLUSIONS: HoLEP using the en-bloc technique is a safe and highly effective method. Over time, a slight but steady learning curve and improvement in operation time, enucleation efficiency and laser energy efficiency were shown even for an experienced surgeon - after 500 cases, still no plateau was reached. There was no measurable learning curve regarding blood loss, complications, length of hospital stay, and catheterization time.

Efficacy of educational stepwise robot-assisted radical prostatectomy procedure for urology residents.

OBJECTIVE: To evaluate the effectiveness of an educational stepwise robot-assisted radical prostatectomy (RARP) procedure for urology residents. METHODS: We performed a detailed evaluation of 42 RARP procedures performed by a single urology resident from July 2019 to February 2022. The RARP procedures were divided into the following nine steps: (1) bladder dissection, (2) endopelvic fascia dissection, (3) bladder neck dissection, (4) seminal vesicle dissection, (5) Denonvilliers' fascia dissection, (6) dorsal vascular complex ligation, (7) dissection of the prostatic apex, (8) posterior anastomosis, and (9) urethro-vesical anastomosis. The procedures were further subcategorized as anatomical understanding, spatial recognition, and technical skills for evaluation of resident training. The surgeries were divided into first and second halves, and patient characteristics and operative outcomes were statistically analyzed. The operative time of each of the nine steps and the reasons for proctor intervention were compared. RESULTS: Among 42 patients, there were no significant differences in operative outcomes between the two groups. The median operative time was 169 min (164 vs. 179 min, p = .12), and the median console time was 128 min (127 vs. 130 min, p = .74). Although there were no significant differences in the time of the nine steps, the resident significantly overcame (7) dissection of the prostatic apex and (8) posterior anastomosis based on the evaluation of the proctored reasons for intervention. CONCLUSIONS: Urology residents can safely perform and efficiently learn RARP with this stepwise educational system. This educational stepwise RARP procedure can effectively help residents to develop their skills.

How Surgeons Think to Avoid Error: A Case Study of the Neurovascular Bundle Sparing During a Robotic Prostatectomy.

OBJECTIVE: To illustrate how experts efficiently navigate a "slowing down moment" to obtain optimal surgical outcomes using the neurovascular bundle sparing during a robotic prostatectomy as a case study. DESIGN: A series of semistructured interviews with four expert uro-oncologists were completed using a cognitive task analysis methodology. Cognitive task analysis, CTA, refers to the interview and extraction of a general body of knowledge. Each interview participant completed four 1 to 2-hour semistructured CTA interviews. The interview data were then deconstructed, coded, and analyzed using a grounded theory analysis to produce a CTA-grid for a robotic prostatectomy for each surgeon, with headings of: surgical steps, simplification maneuvers, visual cues, error/complication recognition, and error/complication management and avoidance. SETTING: The study took place at an academic teaching hospital located in an urban center in Canada. PARTICIPANTS: Four expert uro-oncologists participated in the study. RESULTS: Visual cues, landmarks, common pitfalls, and technique were identified as the 4 key components of the decision-making happening during a slowing down moment in the neurovascular bundle sparing during a robotic prostatectomy. CONCLUSION: The data obtained from the CTA is novel information identifying patterns and cues that expert surgeons use to inform their surgical decision-making and avoid errors. This decision-making knowledge of visual cues, landmarks, common pitfalls and techniques is also generalizable for other surgical subspecialties. Surgeon educators, surgical teaching programs and trainees looking to improve their decision-making skills could use these components to guide their educational strategies.

A Novel Expert Coaching Model in Urology, Aimed at Accelerating the Learning Curve in Robotic Prostatectomy.

INTRODUCTION/BACKGROUND: The surgical residency model assumes that upon completion, a surgeon is ready to practice and grow independently. However, many surgeons fail to improve after reaching proficiency, which in certain instances has correlated with worse clinical outcomes. Coaching addresses this problem and furthers surgeons' education post-residency. Currently, surgical coaching programs focus on medical students and residents, and have been shown to improve residents' and medical students' technical and non-technical abilities. Coaching programs also increase the accuracy of residents, fellows, and attendings in self-assessing their surgical ability. Despite the potential benefits, coaching remains underutilized and poorly studied. We developed an expert-led, face-to-face, video-based surgical coaching program at a tertiary medical center among specialized attending surgeons. Our goal was to evaluate the feasibility of such a program, measure surgeons' attitudes towards internal peer coaching, determine whether surgeons found the sessions valuable and educational, and to subjectively self-assess changes in operative technique. METHODS/MATERIALS: Surgeons who perform robot-assisted laparoscopic prostatectomies were chosen and grouped by number of cases completed: junior (<100 cases), intermediate (100-500 cases), and senior (>500 cases). Surgeons were scheduled for 3 1-hour coaching sessions 1-2 months apart (February-October 2019), meeting individually with the coach (PS), an expert Urologic Oncologist with thousands of cases of experience performing radical prostatectomy. He received training on coaching methodology prior to beginning the coaching program. Before each session, surgeons selected 1 of their recent intraoperative videos to review. During sessions, the coach led discussion on topics chosen by the surgeon (i.e. neurovascular bundle dissection, apical dissection, bladder neck); together, they developed goals to achieve before the next session. Subsequent sessions included presentation and discussion of a case occurring subsequent to the prior session. Sessions were coded by discussion topics and analyzed based on level of experience. Surgeons completed a survey evaluating the experience. RESULTS: All 6 surgeons completed 3 sessions. Five surgeons completed the survey; most respondents evaluated themselves as having improved in desired areas and feeling more confident performing the discussed steps of the operation. Discussed surgical principles varied by experience group; when subjectively quantifying the difficulty of surgical steps, the more difficult steps were discussed by the higher experience groups compared to the junior surgeons. The senior surgeons also focused more on oncologic potency, continence outcomes, and more theory-driven questions while the junior surgeons tended to focus more on anatomic and technique-based questions such as tissue handling and the use of cautery and clips. Overall, the surgeons thought this program provoked critical discussion and subsequently modified their technique, and "agreed" or "strongly agreed" that they would seek further sessions. CONCLUSIONS: Surgical coaching at a large medical center is not only feasible but was rated positively by surgeons across all levels of experience. Coaching led to subjective self-improvement and increased self-confidence among most surgeons. Surgeons also felt that this program offered a safe space to acquire new skills and think critically after finishing residency/fellowship. Themes discussed and takeaways from the sessions varied based on surgeon experience level. While further research is needed to more objectively quantify the impact coaching has on surgeon metrics and patient outcomes, the results of this study supports the initial "proof-of-concept" of peer-based surgical coaching and its potential benefits in accelerating the learning curve for surgeons' post-residency.

Validation of standardized training system for robot-assisted radical prostatectomy: comparison of perioperative and surgical outcomes between experienced surgeons and novice surgeons at a low-volume institute in Japan.

INTRODUCTION: Although robot-assisted radical prostatectomy (RARP) has become a standard treatment modality in patients with prostate cancer (PCa), RARP is a complicated and difficult surgical procedure due to the risk of serious surgery-related complications. This study aimed to evaluate the validation of a standardized training system for RARP in patients with PCa at a single institute. MATERIAL AND METHODS: We retrospectively reviewed the clinical and pathological records of 155 patients with PCa who underwent RARP at Gifu University between August 2018 and April 2021. We developed an institutional program for new surgeons based on the separation of the RARP procedure into six checkpoints. The primary endpoints were surgical outcomes and perioperative complications among three groups (expert, trainer, and novice surgeon groups). RESULTS: The console time was significantly longer in the novice surgeon group than in the other groups. Regarding bladder neck dissection, ligation of lateral pedicles, and vesicourethral anastomosis, the operative time was significantly shorter in the expert group than in the other groups. Surgery-related complications occurred in 15 patients (9.7%). CONCLUSIONS: Our training system for RARP might help reduce the influence of the learning curve on surgical outcomes and ensure that the surgeries performed at low-volume institutions are safe and effective.

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.

Evaluating robotic-assisted surgery training videos with multi-task convolutional neural networks.

We seek to understand if an automated algorithm can replace human scoring of surgical trainees performing the urethrovesical anastomosis in radical prostatectomy with synthetic tissue. Specifically, we investigate neural networks for predicting the surgical proficiency score (GEARS score) from video clips. We evaluate videos of surgeons performing the urethral anastomosis using synthetic tissue. The algorithm tracks surgical instrument locations from video, saving the positions of key points on the instruments over time. These positional features are used to train a multi-task convolutional network to infer each sub-category of the GEARS score to determine the proficiency level of trainees. Experimental results demonstrate that the proposed method achieves good performance with scores matching manual inspection in 86.1% of all GEARS sub-categories. Furthermore, the model can detect the difference between proficiency (novice to expert) in 83.3% of videos. Evaluation of GEARS sub-categories with artificial neural networks is possible for novice and intermediate surgeons, but additional research is needed to understand if expert surgeons can be evaluated with a similar automated system.

HoloMentor: A Novel Mixed Reality Surgical Anatomy Curriculum for Robot-Assisted Radical Prostatectomy.

OBJECTIVES: The disruption to surgical training and medical education caused by the global COVID-19 pandemic highlighted the need for realistic, reliable, and engaging educational opportunities available outside of the operating theatre and accessible for trainees of all levels. This article presents the design and development of a virtual reality curriculum which simulates the surgical mentorship experience outside of the operating theatre, with a focus on surgical anatomy and surgical decision-making. METHOD: This was a multi-institutional study between London's King's College and Imperial College. The index procedure selected for the module was robotic radical prostatectomy. For each stage of the surgical procedure, subject-matter experts (N = 3) at King's College London, identified (1) the critical surgical-decision making points, (2) critical anatomical landmarks, and (3) tips and techniques for overcoming intraoperative challenges. Content validity was determined by an independent panel of subject-matter experts (N = 8) at Imperial College, London, using Fleiss' kappa statistic. The experts' teaching points were combined with operative footage and illustrative animations, and projected onto a virtual reality headset. The module was piloted to surgical science students (N = 15). Quantitative analysis compared participants' confidence regarding their anatomical knowledge before and after taking the module. Qualitative data were gathered from students regarding their views on using the virtual reality model. RESULTS: Multi-rater agreement between experts was above the 70.0% threshold for all steps of the procedure. Seventy-three percentage of pilot study participants "agreed" or "strongly agreed" that they achieved a better understanding of surgical anatomy and the rationale behind each procedural step. This was reflected in an increase in the median knowledge score after trialing the curriculum (p < 0.001). 100% of subject-matter experts and 93.3% of participants "agreed" or "strongly agreed" that virtual mentorship would be useful for future surgical training. CONCLUSIONS: This study demonstrated that virtual surgical mentorship could be a feasible and cost-effective alternative to traditional training methods with the potential to improve technical skills, such as operative proficiency and nontechnical skills such as decision-making and situational judgement.

Learning From Those who Learned: A Survey of Fellowship Trained HoLEP Surgeons and Their Current Practice Patterns.

OBJECTIVE: To gain insight from the experience of learning Holmium laser enucleation of the prostate (HoLEP), teaching HoLEP, and the current HoLEP practice patterns of fellowship-trained endourologists. METHODS: Surveys were electronically distributed to United States (U.S.) practicing urologists who completed American Endourology fellowships (that included HoLEP) within the past 6 years. Questions focused on HoLEP training and current practice patterns. RESULTS: As of September 2019, 12% (6/49) of U.S. endourology fellowships reported including HoLEP as a component of training. With a 73% response rate (16 of 22), 81% participated in over 20 cases during training, while 50% participated in over 50. A total of 25% independently completed over 50 cases from start to finish. At training completion, most (80%) felt comfortable/somewhat comfortable completing an entire HoLEP independently and managing post-op complications. Seventy-five percent practice HoLEP currently, and 25% teach to trainees. When asked "What is most challenging about HoLEP in current practice?" common responses were: efficiency/profitability concerns, poor reimbursement, educating OR/hospital staff, establishing case volume, minimizing sphincter trauma, and large glands (>200gm). CONCLUSION: With diverse exposure in fellowship, most incorporate HoLEP into their practice after training. Aspects of the procedure remain challenging after several years of experience. Profitability/reimbursement concerns should be further explored to increase HoLEP adoption.

Objective assessment of intraoperative skills for robot-assisted radical prostatectomy (RARP): results from the ERUS Scientific and Educational Working Groups Metrics Initiative.

OBJECTIVE: To develop and seek consensus from procedure experts on the metrics that best characterise a reference robot-assisted radical prostatectomy (RARP) and determine if the metrics distinguished between the objectively assessed RARP performance of experienced and novice urologists, as identifying objective performance metrics for surgical training in robotic surgery is imperative for patient safety. MATERIALS AND METHODS: In Study 1, the metrics, i.e. 12 phases of the procedure, 81 steps, 245 errors and 110 critical errors for a reference RARP were developed and then presented to an international Delphi panel of 19 experienced urologists. In Study 2, 12 very experienced surgeons (VES) who had performed >500 RARPs and 12 novice urology surgeons performed a RARP, which was video recorded and assessed by two experienced urologists blinded as to subject and group. Percentage agreement between experienced urologists for the Delphi meeting and Mann-Whitney U- and Kruskal-Wallis tests were used for construct validation of the newly identified RARP metrics. RESULTS: At the Delphi panel, consensus was reached on the appropriateness of the metrics for a reference RARP. In Study 2, the results showed that the VES performed ~4% more procedure steps and made 72% fewer procedure errors than the novices (P = 0.027). Phases VIIa and VIIb (i.e. neurovascular bundle dissection) best discriminated between the VES and novices. LIMITATIONS: VES whose performance was in the bottom half of their group demonstrated considerable error variability and made five-times as many errors as the other half of the group (P = 0.006). CONCLUSIONS: The international Delphi panel reached high-level consensus on the RARP metrics that reliably distinguished between the objectively scored procedure performance of VES and novices. Reliable and valid performance metrics of RARP are imperative for effective and quality assured surgical training.

Quantifying the "Assistant Effect" in Robotic-Assisted Radical Prostatectomy (RARP): Measures of Technical Performance.

PURPOSE: Surgeons are reliant on the bedside assistant during robotic surgeries. Using a modified global rating scale (GRS), we aim to assess the association between an assistant's technical skill on surgeon performance in Robotic-Assisted Radical Prostatectomy (RARP). METHODS: Prospective, intraoperative video from RARP cases at three centers were collected. Baseline demographic and RARP-experience data were collected from participating surgeons and trainees. The dissection of the prostatic pedicle and neurovascular bundle step (NVB) was analyzed. Expert analysts scored the console surgeon performance using the Global Evaluative Assessment of Robotic Skills (GEARS), and the bedside assistant performance using a modified Objective Structured Assessment of Technical Skills (aOSATS). The primary outcome is the association between console surgeon performance, as measured by GEARS, and assistant skill, as measured by aOSATS. Spearman's rho correlations were used to test the relationship between assistant and surgeon technical performance, and a multivariable linear regression model was created to test this association while controlling for patient factors. RESULTS: 92 RARP cases were available for the analysis, comprising 14 console surgeons and 22 different bedside assistants. In only 5 (5.4%) cases, the neurovascular bundle step was completed by a trainee, and in 13 (14.1%) of cases, a staff-level surgeon acted as the bedside assistant. aOSATS score was significantly associated with robotic console experience (P = 0.011), and prior laparoscopic experience (P < 0.001). Assistant aOSATS score showed a weak but significant correlation with surgeon GEARS score during the neurovascular bundle step (spearman's rho = 0.248, P = 0.028). On linear regression, aOSATS remained a significant predictor of console surgeon performance (P = 0.016), after controlling for patient age and BMI, prostate volume, tumor stage, and presence of nerve-sparing. CONCLUSIONS: This is the first study to assess the association between assistant technical skill and surgeon performance in RARP. Additionally, we have provided validity evidence for a modified OSATS global rating scale for training and assessing bedside assistant performance.

Real-time assessment of learning curve for robot-assisted laparoscopic prostatectomy.

INTRODUCTION: The learning curves analysed to date for robot-assisted laparoscopic prostatectomy are based on arbitrary cut-offs of the total cases. METHODS: We analysed a large dataset of robot-assisted laparoscopic prostatectomies from a single centre between 2008 and 2019 for assessment of the learning curve for perioperative outcomes with respect to time and individual cases. RESULTS: A total of 1,406 patients were evaluated, with mean operative time 198.08 minutes and mean console time 161.05 minutes. A plot of operative time and console time showed an initial decline followed by a near-constant phase. The inflection points were detected at 1,398 days (308th case) for operative time and 1,470 days (324th case) for console time, with a declining trend of 8.83 minutes and 7.07 minutes, respectively, per quarter-year (p<0.001). Mean estimated blood loss showed a 70.04% reduction between the start (214.76ml) and end (64.35ml) (p<0.001). The complication rate did not vary with respect to time (p=0.188) or the number of procedures (p=0.354). There was insufficient evidence to claim that the number of operations (p=0.326), D'Amico classification (p=0.114 for intermediate versus low; p=0.158 for high versus low) or time (p=0.114) was associated with the odds of positive surgical margins. CONCLUSIONS: It takes about 300 cases and nearly 4 years to standardise operative and console times, with a requirement of around 80 cases per annum for a single surgical team in the initial years to optimise the outcomes of robot-assisted laparoscopic prostatectomy.

Role of Bed Assistant During Robot-assisted Radical Prostatectomy: The Effect of Learning Curve on Perioperative Variables.

BACKGROUND: A remote interaction between a console surgeon (CS) and a bedside surgeon (BS) makes the role of the latter critical. No conclusive data are reported about the length of the learning curve of a BS. OBJECTIVE: To highlight the role of a BS during robot-assisted radical prostatectomy (RARP) and to analyze the effect of the learning curve of a BS on intra- and postoperative outcomes. DESIGN, SETTING, AND PARTICIPANTS: From June 2013 to September 2016, 129 RARPs were performed by one expert CS (>1000 RARPs) and two BSs (residents). According to the learning curve of the BS, the patients were divided into three groups: group 1 (first 20 procedures), group 2 (21-40 procedures), and group 3 (>40 procedures). OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS: Preoperative variables, pathological data, operating time (OT), blood loss (BL), number of lymph nodes excised (LE), length of hospital stay (LHS), and time to catheter removal (CR) were analyzed. Linear/logistic regression analyses tested the impact of BS experience on surgical outcomes. T test and chi-square test compared the outcomes of the two BSs. RESULTS AND LIMITATIONS: Perfect interaction between CSs and BSs are requested to obtain the optimal exposure and avoid any conflict. On the linear regression model, BS learning curve was not related to OT, BL, LHS, and CR, but was related to LE (r2=0.09; p=0.03). On multivariate analyses, no correlation between BS experience and OT, BL, LHS, CR, LE, margin status, and complications (all p>0.05) was found. Comparing the two BSs, no difference was found for the abovementioned outcomes in the first 40 surgeries (all p>0.05). Study limitations include the limited cohort of patients and its retrospective nature. CONCLUSIONS: In this study, BS learning curve does not appear to influence the surgical outcomes; good experience of the CS was probably the explanation. PATIENT SUMMARY: In our experience, it is the primary surgeon who dictates the perioperative outcomes during robot-assisted radical prostatectomy.

The surgical learning curve for endoscopic GreenLight™ laser enucleation of the prostate: an international multicentre study.

OBJECTIVES: To investigate the effect of surgical experience on the perioperative outcomes of endoscopic GreenLight™ (Boston Scientific Corporation, Marlborough, MA, USA) laser enucleation of the prostate (GreenLEP). SUBJECTS/PATIENTS AND METHODS: A multicentre retrospective study of the first patients treated with GreenLEP by six surgeons was conducted. For each patient, surgical experience was coded as the total number of procedures performed by the surgeons before the patient's operation. The learning curve was analysed in terms of changes over time for the following variables: enucleation time, morcellation time, occurrence of intraoperative complications (IOCs), 3-month postoperative International Prostate Symptom Score (IPSS) reduction, and the rate of Pentafecta achievement. RESULTS: In total, 922 patients were analysed. At multivariable regression analyses adjusted for case mix, surgical experience was associated with shorter enucleation and morcellation time (P < 0.001), lower IOC rate (P < 0.001), higher 3-month postoperative reduction in IPSS (P = 0.004), and higher probability of Pentafecta achievement (P < 0.001). The relationship between surgical experience and enucleation time/IOCs appeared as non-linear, with a steep slope reduction within the first 100 cases and a plateau observed after 200 cases, whilst the IPSS improved rapidly early in the learning curve process and plateaued after ~100 procedures. Finally, there was a linear improvement in Pentafecta achievement, with a plateau observed after 270 cases. CONCLUSION: Surgical experience has a significant impact on the perioperative outcomes for GreenLEP procedures. After adjusting for patient and prostate characteristics, plateau results were achieved after a long learning curve. A more intensely mentored and structured training schedule might allow quicker and safer adoption of the procedure.

Does YouTube include high-quality resources for training on laparoscopic and robotic radical prostatectomy?

PURPOSE: Our aim was to assess the educational quality of the YouTube video content related to laparoscopic and robotic radical prostatectomy (RP). METHODS: An objective scoring tool named as Prostatectomy Assessment and Competency Evaluation (PACE) score was used to measure and quantify seven critical steps in RP including bladder drop, preparation of the prostate, bladder neck dissection, posterior/seminal vesicle dissection, neurovascular bundle preservation, apical dissection, and urethro-vesical anastomosis. A five-point scale was used for grading the seven steps, where a score of 1 and 5 represented the lowest and ideal performance, respectively. Additionally, descriptive statistics including the upload time, video length, view count, number of comments, likes, and dislikes were all recorded. RESULTS: Of the 1688 videos (551 from laparoscopic RP, 567 from robotic RP, and 570 from robot-assisted RP), 226 videos were analyzed after excluding duplicate and irrelevant videos. Robotic/robot-assisted RP videos were found to be statistically longer than laparoscopic RP videos (p = 0.016). The PACE score of urethro-vesical anastomosis step in robotic RP videos was statistically higher than laparoscopic RP videos (p = 0.021). A weak but significant positive correlation between the video length and total PACE score (rho: 0.51; p = 0.04 for laparoscopic RP and rho: 0.43; p = 0.03 for robotic/robot-assisted RP) was found. A weak but positive correlation was also determined between number of likes and total PACE score (rho: 0.39; p = 0.02) for robotic/robot-assisted RP videos. CONCLUSIONS: Although YouTube website includes high-quality videos for both laparoscopic and robotic/robot-assisted RP, there is no objective parameter to predict the educational quality of the videos.

Comparison of clinical outcomes and automated performance metrics in robot-assisted radical prostatectomy with and without trainee involvement.

PURPOSE: In this study, we investigate the effect of trainee involvement on surgical performance, as measured by automated performance metrics (APMs), and outcomes after robot-assisted radical prostatectomy (RARP). METHODS: We compared APMs (instrument tracking, EndoWrist® articulation, and system events data) and clinical outcomes for cases with varying resident involvement. Four of 12 standardized RARP steps were designated critical ("cardinal") steps. Comparison 1: cases where the attending surgeon performed all four cardinal steps (Group A) and cases where a trainee was involved in at least one cardinal step (Group B). Comparison 2, where Group A is split into Groups C and D: cases where attending performs the whole case (Group C) vs. cases where a trainee performed at least one non-cardinal step (Group D). Mann-Whitney U and Chi-squared tests were used for comparisons. RESULTS: Comparison 1 showed significant differences in APM profiles including camera movement time, third instrument usage, dominant instrument moving time, velocity, articulation, as well as non-dominant instrument moving time and articulation (all favoring Group A p < 0.05). There was a significant difference in re-admission rates (10.9% in Group A vs 0% in Group B, p < 0.02), but not for post-operative outcomes. Comparison 2 demonstrated a significant difference in dominant instrument articulation (p < 0.05) but not in post-operative outcomes. CONCLUSIONS: Trainee involvement in RARP is safe. The degree of trainee involvement does not significantly affect major clinical outcomes. APM profiles are less efficient when trainees perform at least one cardinal step but not during non-cardinal steps.

Incorporation and validation of clinically relevant performance metrics of simulation (CRPMS) into a novel full-immersion simulation platform for nerve-sparing robot-assisted radical prostatectomy (NS-RARP) utilizing three-dimensional printing and hydrogel casting technology.

OBJECTIVES: To incorporate and validate clinically relevant performance metrics of simulation (CRPMS) into a hydrogel model for nerve-sparing robot-assisted radical prostatectomy (NS-RARP). MATERIALS AND METHODS: Anatomically accurate models of the human pelvis, bladder, prostate, urethra, neurovascular bundle (NVB) and relevant adjacent structures were created from patient MRI by injecting polyvinyl alcohol (PVA) hydrogels into three-dimensionally printed injection molds. The following steps of NS-RARP were simulated: bladder neck dissection; seminal vesicle mobilization; NVB dissection; and urethrovesical anastomosis (UVA). Five experts (caseload >500) and nine novices (caseload <50) completed the simulation. Force applied to the NVB during the dissection was quantified by a novel tension wire sensor system fabricated into the NVB. Post-simulation margin status (assessed by induction of chemiluminescent reaction with fluorescent dye mixed into the prostate PVA) and UVA weathertightness (via a standard 180-mL leak test) were also assessed. Objective scoring, using Global Evaluative Assessment of Robotic Skills (GEARS) and Robotic Anastomosis Competency Evaluation (RACE), was performed by two blinded surgeons. GEARS scores were correlated with forces applied to the NVB, and RACE scores were correlated with UVA leak rates. RESULTS: The expert group achieved faster task-specific times for nerve-sparing (P = 0.007) and superior surgical margin results (P = 0.011). Nerve forces applied were significantly lower for the expert group with regard to maximum force (P = 0.011), average force (P = 0.011), peak frequency (P = 0.027) and total energy (P = 0.003). Higher force sensitivity (subcategory of GEARS score) and total GEARS score correlated with lower nerve forces (total energy in Joules) applied to NVB during the simulation with a correlation coefficient (r value) of -0.66 (P = 0.019) and -0.87 (P = 0.000), respectively. Both total and force sensitivity GEARS scores were significantly higher in the expert group compared to the novice group (P = 0.003). UVA leak rate highly correlated with total RACE score r value = -0.86 (P = 0.000). Mean RACE scores were also significantly different between novices and experts (P = 0.003). CONCLUSION: We present a realistic, feedback-driven, full-immersion simulation platform for the development and evaluation of surgical skills pertinent to NS-RARP. The correlation of validated objective metrics (GEARS and RACE) with our CRPMS suggests their application as a novel method for real-time assessment and feedback during robotic surgery training. Further work is required to assess the ability to predict live surgical outcomes.

Serving as a bedside surgeon before performing robotic radical prostatectomy improves surgical outcomes.

INTRODUCTION: To evaluate the influence of previous experience as bedside assistants on patient selection, perioperative and pathological results in robot assisted laparoscopic radical prostatectomy. MATERIALS AND METHODS: The first 50 cases of two robotic surgeons were reviewed retrospectively. Group 1 consisted of the first 50 cases of the surgeon with previous experience as a robotic bedside assistant between September 2016-July 2018, while group 2 included the first 50 cases of the surgeon with no bedside assistant experience between February 2009-December 2009. Groups were examined in terms of demographics, prostate volume, presence of median lobe, prostate specific antigen (PSA), preoperative Gleason score, positive core number, clinical stage, console surgery time, estimated blood loss, postoperative Gleason score, pathological stage, positive surgical margin rate, postoperative complications, length of hospital stay and biochemical recurrence rate. RESULTS: Previous abdominal surgery and the presence of median lobe hypertrophy rates were higher in Group 1 than in Group 2 (20% vs. 4%, p=0.014; 24% vs. 6%, p=0.012; respectively). In addition, patients in Group 1 were in a higher clinical stage than those in Group 2 (cT2: 70% vs. 28%, p=0.001). Median console surgery time and median length of hospital stay was significantly shorter in Group 1 than in Group 2 (170 min vs. 240 min, p=0.001; 3 vs. 4, p=0.022; respectively). Clavien grade 3 complication rate was higher in Group 2 but was statistically insignificant. CONCLUSION: Our findings might reflect that previous bedside assistant experience led to an increase in self-confidence and the ability to manage troubleshooting and made it more likely for surgeons to start with more difficult cases with more challenging patients. It is recommended that novice surgeons serve as bedside assistants before moving on to consoles.