Uretero-enteric Strictures After Robot Assisted Radical Cystectomy: Prevalence and Management Over Two Decades.

INTRODUCTION: To evaluate the prevalence, predictors, management, and trends for ureteroenteric strictures (UES) after robot-assisted radical cystectomy (RARC). METHODS: Retrospective review of our RARC database was performed (2005-2022). UES was described in terms of timing, laterality, and management. Kaplan-Meier curves were used to depict time to UES. Local regression was used to assess trend of UES over time and multivariable regression to identify variables associated with UES. RESULTS: UES occurred in 109 patients (15%). UES occurred in 13%, 17%, and 19% at 1, 3, and 5 years after RARC, respectively. Incidence of UES decreased in 2017, coinciding with stentless uretero-enteric anastomosis. UES occurred on the right in 33%, on the left in 46%, and bilaterally in 21%. All patients were initially managed by nephrostomy/stent. Surgical revision was required in 45% of patients, of which 13% developed recurrent UES after revision. On MVA, UES formation was associated with ureteral stents (OR 2.27, 95%CI 1.01-5.10, P = .05) and receipt of neoadjuvant chemotherapy (OR 2.01, 95%CI 1.24-3.25, P = .005). CONCLUSION: UES occurred in 15% of patients after RARC, with 45% of patients requiring surgical reimplantation. Ureteral stents and the receipt of neoadjuvant chemotherapy were associated with UES formation.

Optimizing the Financial Burden of the Approach to Robot-Assisted Radical Prostatectomy.

Objectives: The robot-assisted approach to radical prostatectomy (RARP) has been adopted worldwide as an acceptable alternative to open prostatectomy owing to improved visualization and dexterity for surgeons, with improved recovery and convalescence for patients. However, the associated cost of installation of robot as well as running costs may hamper its utilization. We sought to investigate and identify the drivers of cost at our institution and implement changes that could reduce costs. Methods: We retrospectively reviewed the annual cost data of all RARPs performed by a single surgeon between April 1, 2017 and March 31, 2018. A cost analysis was performed investigating the variable costs associated with RARP: anesthesia related, operative time, and medical supplies. We then prospectively implemented a cost reduction plan that included reducing the number of robotic instruments used per surgery, surgical supplies, and changing the type of trocars. We also investigated whether these changes impacted cost as well as operative outcomes. Results: Forty retrospective procedures were compared with 32 prospective procedures after implementation of cost reduction plan. There were no differences in clinical characteristics. Cost savings per case were $705 for variable costs (95% CI $662, $748, p < 0.01): $36 for anesthesia related (95% CI $5, $67, p = 0.03), $198 for operative time (95% CI $145, $251, p < 0.01), and $471 for medical supplies (95% CI $438, $504, p < 0.01). There was no statistically significant difference in operative time or estimated blood loss between the two groups. Conclusion: Cost reduction plan can reduce total cost associated with RARP without compromising patient safety or operating room efficiency.

A computer vision technique for automated assessment of surgical performance using surgeons' console-feed videos.

PURPOSE: To develop and validate an automated assessment of surgical performance (AASP) system for objective and computerized assessment of pelvic lymph node dissection (PLND) as an integral part of robot-assisted radical cystectomy (RARC) using console-feed videos recorded during live surgery. METHODS: Video recordings of 20 PLNDs were included. The quality of lymph node clearance was assessed based on the features derived from the computer vision process which include: the number and cleared area of the vessels/nerve (N-Vs); image median color map; and mean entropy (measures the level of disorganization) in the video frame. The automated scores were compared to the validated pelvic lymphadenectomy appropriateness and completion evaluation (PLACE) scoring rated by a panel of expert surgeons. Logistic regression analysis was employed to compare automated scores versus PLACE scores. RESULTS: Fourteen procedures were used to develop the AASP algorithm. A logistic regression model was trained and validated using the aforementioned features with 30% holdout cross-validation. The model was tested on the remaining six procedures, and the accuracy of predicting the expert-based PLACE scores was 83.3%. CONCLUSIONS: To our knowledge, this is the first automated surgical skill assessment tool that provides an objective evaluation of surgical performance with high accuracy compared to expert surgeons' assessment that can be extended to any endoscopic or robotic video-enabled surgical procedure.

Use of Robotic Anastomosis Competency Evaluation (RACE) for assessment of surgical competency during urethrovesical anastomosis.

INTRODUCTION: We sought to evaluate the Robotic Anastomosis Competency Evaluation (RACE), a validated tool that objectively quantifies surgical skills specifically for urethrovesical anastomosis (UVA), as a tool to track progress of trainees, and to determine the predictive value of RACE. METHODS: UVAs performed by trainees at our institution were evaluated using RACE over a period of two years. Trainees were supervised by an experienced robotic surgeon. Outcomes included trainee-related variables (RACE score, proportion of UVA performed by trainee, and suturing speed), and clinical outcomes (total UVA duration, postoperative urinary continence, and UVA-related complications). Significance was determined using linear regression analysis. RESULTS: A total of 51 UVAs performed by six trainees were evaluated. Trainee RACE scores (19.8 to 22.3; p=0.01) and trainee proportion of UVA (67% to 80%; p=0.003) improved significantly over time. Trainee suture speed was significantly associated with RACE score (mean speed range 0.54-0.74 sutures/minute; p=0.03). Neither urinary continence at six weeks nor six months was significantly associated with RACE score (p=0.17 and p=0.15, respectively), and only one UVA-related postoperative complication was reported. CONCLUSIONS: Trainee RACE scores improved and proportion of UVA performed by trainees increased over time. RACE can be used as an objective measure of surgical performance during training. Strict mentor supervision allowed safe training without compromising patient outcomes.

Development and validation of surgical training tool: cystectomy assessment and surgical evaluation (CASE) for robot-assisted radical cystectomy for men.

BACKGROUND: We aimed to develop a structured scoring tool: cystectomy assessment and surgical evaluation (CASE) that objectively measures and quantifies performance during robot-assisted radical cystectomy (RARC) for men. METHODS: A multinational 10-surgeon expert panel collaborated towards development and validation of CASE. The critical steps of RARC in men were deconstructed into nine key domains, each assessed by five anchors. Content validation was done utilizing the Delphi methodology. Each anchor was assessed in terms of context, score concordance, and clarity. The content validity index (CVI) was calculated for each aspect. A CVI ≥ 0.75 represented consensus, and this statement was removed from the next round. This process was repeated until consensus was achieved for all statements. CASE was used to assess de-identified videos of RARC to determine reliability and construct validity. Linearly weighted percent agreement was used to assess inter-rater reliability (IRR). A logit model for odds ratio (OR) was used to assess construct validation. RESULTS: The expert panel reached consensus on CASE after four rounds. The final eight domains of the CASE included: pelvic lymph node dissection, development of the peri-ureteral space, lateral pelvic space, anterior rectal space, control of the vascular pedicle, anterior vesical space, control of the dorsal venous complex, and apical dissection. IRR > 0.6 was achieved for all eight domains. Experts outperformed trainees across all domains. CONCLUSION: We developed and validated a reliable structured, procedure-specific tool for objective evaluation of surgical performance during RARC. CASE may help differentiate novice from expert performances.

Cognitive learning and its future in urology: surgical skills teaching and assessment.

PURPOSE OF REVIEW: The aim of this study is to provide an overview of the current status of novel cognitive training approaches in surgery and to investigate the potential role of cognitive training in surgical education. RECENT FINDINGS: Kinematics of end-effector trajectories, as well as cognitive state features of surgeon trainees and mentors have recently been studied as modalities to objectively evaluate the expertise level of trainees and to shorten the learning process. Virtual reality and haptics also have shown promising in research results in improving the surgical learning process by providing feedback to the trainee. SUMMARY: 'Cognitive training' is a novel approach to enhance training and surgical performance. The utility of cognitive training in improving motor skills in other fields, including sports and rehabilitation, is promising enough to justify its utilization to improve surgical performance. However, some surgical procedures, especially ones performed during human-robot interaction in robot-assisted surgery, are much more complicated than sport and rehabilitation. Cognitive training has shown promising results in surgical skills-acquisition in complicated environments such as surgery. However, these methods are mostly developed in research groups using limited individuals. Transferring this research into the clinical applications is a demanding challenge. The aim of this review is to provide an overview of the current status of these novel cognitive training approaches in surgery and to investigate the potential role of cognitive training in surgical education.

Development and Validation of an Objective Scoring Tool for Robot-Assisted Radical Prostatectomy: Prostatectomy Assessment and Competency Evaluation.

PURPOSE: Comprehensive training and skill acquisition by urological surgeons are vital to optimize surgical outcomes and patient safety. We sought to develop and validate PACE (Prostatectomy Assessment and Competence Evaluation), an objective and procedure specific tool to assess the quality of robot-assisted radical prostatectomy. MATERIALS AND METHODS: Development and content validation of PACE was performed by deconstructing robot-assisted radical prostatectomy into 7 key domains utilizing the Delphi methodology. Reliability and construct validation were then assessed using de-identified videos performed by practicing surgeons and fellows. Consensus for each domain was defined as achieving a content validity index of 0.75 or greater. Reliability was assessed by the intraclass correlation and construct validation using a mixed linear model accounting for multiple ratings on the same video. RESULTS: After 3 rounds consensus was reached on wording, relevance of the skills assessed and concordance between the score assigned and the skill assessed. An intraclass correlation of 0.4 or greater was achieved for all domains. The expert group outperformed trainees in all domains but reached statistical significance in bladder drop (4.5 vs 3.4, p = 0.002), preparation of the prostate (4.4 vs 3.2, p <0.0001), seminal vesicle and posterior plane dissection (8.3 vs 6.8, p = 0.03), and neurovascular bundle preservation (4.1 vs 2.4, p <0.0001). Limitations included the lack of assessment of other key skills such as communication and decision making. CONCLUSIONS: PACE is a structured, procedure specific and reliable tool that objectively measures surgical performance during robot-assisted radical prostatectomy. It can differentiate different levels of expertise and provide structured feedback to customize training and surgical quality improvement.

Surgical Competency for Robot-Assisted Hysterectomy: Development and Validation of a Robotic Hysterectomy Assessment Score (RHAS).

STUDY OBJECTIVE: To develop and validate a procedure-specific scoring algorithm to objectively measure robotic surgical skills during robot-assisted hysterectomy and to facilitate robotic surgery training and education. DESIGN: (Canadian Task Force classification III). SETTING: A National Comprehensive Cancer Network-designated comprehensive cancer center. PATIENTS: Deidentified videos for robot-assisted hysterectomies were evaluated. INTERVENTIONS: Videos from 26 robotic hysterectomies performed by surgeons with varying degrees of experience using the scoring system were evaluated. In phase I, critical elements of a robotic hysterectomy were deconstructed into 6 key domains to assess technical skills for procedure completion. Anchor descriptions were developed for each domain to match a 5-point Likert scale. Delphi methodology was used for content validation. A panel of 5 expert robotic surgeons refined this scoring system. In phase II, video recordings of procedures performed by surgeons with varying degrees of experience (expert, advanced beginner, and novice) were evaluated by blinded expert reviewers using the scoring system. Descriptive statistics were used to summarize the scores for each domain. Intraclass correlation was used to determine the interrater reliability. A p value <.05 was considered significant. MEASUREMENTS AND MAIN RESULTS: The average score for the 3 classes of surgeon was 75.6 for expert, 71.3 for advanced beginner, and 69.0 for novice (p = .006). There were significant differences in scores of most individual domains among the various classes of surgeons. Novice surgeons took significantly longer than expert surgeons to complete their half of a hysterectomy (22.2 vs 12.0 minutes; p = .001). CONCLUSION: This pilot study demonstrates the feasibility of using a standardized rubric for clinical skills assessment in robotic hysterectomy. Blinded expert reviewers were able to differentiate between varying levels of surgical experience using this assessment tool.

Development, validation and clinical application of Pelvic Lymphadenectomy Assessment and Completion Evaluation: intraoperative assessment of lymph node dissection after robot-assisted radical cystectomy for bladder cancer.

OBJECTIVES: To develop a scoring tool, Pelvic Lymphadenectomy Appropriateness and Completion Evaluation (PLACE), to assess the intraoperative completeness and appropriateness of pelvic lymph node dissection (PLND) following robot-assisted radical cystectomy (RARC). PATIENTS, SUBJECTS AND METHODS: A panel of 11 open and robotic surgeons developed the content and structure of PLACE. The PLND template was divided into three zones. In all, 21 de-identified videos of bilateral robot-assisted PLNDs were assessed by the 11 experts using PLACE to determine inter-rater reliability. Lymph node (LN) clearance was defined as the proportion of cleared LNs from all PLACE zones. We investigated the correlation between LN clearance and LN count. Then, we compared the LN count of 18 prospective PLNDs using PLACE with our retrospective series performed using the extended template (No PLACE). RESULTS: A significant reliability was achieved for all PLACE zones among the 11 raters for the 21 bilateral PLND videos. The median (interquartile range) for LN clearance was 468 (431-545). There was a significant positive correlation between LN clearance and LN count (R2 = 0.70, P < 0.01). The PLACE group yielded similar LN counts when compared to the No PLACE group. CONCLUSIONS: Pelvic Lymphadenectomy Appropriateness and Completion Evaluation is a structured intraoperative scoring system that can be used intraoperatively to measure and quantify PLND for quality control and to facilitate training during RARC.

Biopiracy of natural products and good bioprospecting practice.

BACKGROUND: Biopiracy mainly focuses on the use of biological resources and/or knowledge of indigenous tribes or communities without allowing them to share the revenues generated out of economic exploitation or other non-monetary incentives associated with the resource/knowledge. METHODS: Based on collaborations of scientists from five continents, we have created a communication platform to discuss not only scientific topics, but also more general issues with social relevance. This platform was termed 'PhytCancer -Phytotherapy to Fight Cancer' (www.phyt-cancer.uni-mainz.de). As a starting point, we have chosen the topic "biopiracy", since we feel this is of pragmatic significance for scientists working with medicinal plants. RESULTS: It was argued that the patenting of herbs or natural products by pharmaceutical corporations disregarded the ownership of the knowledge possessed by the indigenous communities on how these substances worked. Despite numerous court decisions in U.S.A. and Europe, several international treaties, (e.g. from United Nations, World Health Organization, World Trade Organization, the African Unity and others), sharing of a rational set of benefits amongst producers (mainly pharmaceutical companies) and indigenous communities is yet a distant reality. In this paper, we present an overview of the legal frameworks, discuss some exemplary cases of biopiracy and bioprospecting as excellent forms of utilization of natural resources. CONCLUSIONS: We suggest certain perspectives, by which we as scientists, may contribute towards prevention of biopiracy and also to foster the fair utilization of natural resources. We discuss ways, in which the interests of indigenous people especially from developing countries can be secured.