Literature DB >> 28557582

Surgeon Performance Predicts Early Continence After Robot-Assisted Radical Prostatectomy.

Mitchell G Goldenberg1,2, Larry Goldenberg3, Teodor P Grantcharov2.   

Abstract

INTRODUCTION: There is limited, yet compelling evidence supporting the role of surgeon technical performance in influencing patient outcomes. To date, this concept has been underexplored in endourologic procedures. We hypothesized that a surgeon's technical performance plays a role in predicting an early return to continence after robot-assisted radical prostatectomy (RARP).
MATERIALS AND METHODS: We conducted a retrospective, matched case-control analysis of prospectively collected unedited RARP endoscopic videos performed by a single surgeon. A blinded observer with expertise in intraoperative video analysis evaluated clinically relevant steps of RARP using the global evaluative assessment of robotic skill (GEARS) and the generic error rating tool (GERT). The primary outcome was continence status at 3 months postoperatively, defined as patient use of less than or equal to a single precautionary pad. Mann-Whitney U tests examined differences in predictor variables between cases and controls, and multivariate analysis was conducted using binary logistic regression models.
RESULTS: Twenty-four incontinent patients were matched for age, body mass index, preoperative International Prostate Symptoms Score, use of posterior/anterior hitch, prostate weight, and learning curve position. No statistically significant difference in errors between groups was observed using the GERT. On multivariate analysis, overall case GEARS score was independently predictive of 3-month continence status (odds ratios [OR] = 0.55, 95% confidence interval [CI] 0.33-0.91), as were urethrovesical anastomosis (OR = 0.70, 95% CI 0.50-0.97) and bladder neck GEARS scores (OR = 0.69, 95% CI 0.51-0.94).
CONCLUSIONS: Our study generates the hypothesis that there may be a link between surgeon technical performance and functional outcomes in RARP. This relationship may have implications for the accreditation and training of future urologists and warrants further investigation.

Entities:  

Keywords:  medical errors; prostatectomy; psychomotor performance; robotic surgical procedures; urinary incontinence

Mesh:

Year:  2017        PMID: 28557582     DOI: 10.1089/end.2017.0284

Source DB:  PubMed          Journal:  J Endourol        ISSN: 0892-7790            Impact factor:   2.942


  13 in total

Review 1.  The safety of urologic robotic surgery depends on the skills of the surgeon.

Authors:  Erika Palagonia; Elio Mazzone; Geert De Naeyer; Frederiek D'Hondt; Justin Collins; Pawel Wisz; Fijs W B Van Leeuwen; Henk Van Der Poel; Peter Schatteman; Alexandre Mottrie; Paolo Dell'Oglio
Journal:  World J Urol       Date:  2019-08-19       Impact factor: 4.226

Review 2.  Surgical Education, Simulation, and Simulators-Updating the Concept of Validity.

Authors:  Mitchell Goldenberg; Jason Y Lee
Journal:  Curr Urol Rep       Date:  2018-05-17       Impact factor: 3.092

Review 3.  Artificial intelligence and robotics: a combination that is changing the operating room.

Authors:  Iulia Andras; Elio Mazzone; Fijs W B van Leeuwen; Geert De Naeyer; Matthias N van Oosterom; Sergi Beato; Tessa Buckle; Shane O'Sullivan; Pim J van Leeuwen; Alexander Beulens; Nicolae Crisan; Frederiek D'Hondt; Peter Schatteman; Henk van Der Poel; Paolo Dell'Oglio; Alexandre Mottrie
Journal:  World J Urol       Date:  2019-11-27       Impact factor: 4.226

4.  A deep-learning model using automated performance metrics and clinical features to predict urinary continence recovery after robot-assisted radical prostatectomy.

Authors:  Andrew J Hung; Jian Chen; Saum Ghodoussipour; Paul J Oh; Zequn Liu; Jessica Nguyen; Sanjay Purushotham; Inderbir S Gill; Yan Liu
Journal:  BJU Int       Date:  2019-03-20       Impact factor: 5.588

Review 5.  The association between video-based assessment of intraoperative technical performance and patient outcomes: a systematic review.

Authors:  Saba Balvardi; Anitha Kammili; Melissa Hanson; Carmen Mueller; Melina Vassiliou; Lawrence Lee; Kevin Schwartzman; Julio F Fiore; Liane S Feldman
Journal:  Surg Endosc       Date:  2022-05-12       Impact factor: 4.584

6.  Surgomics: personalized prediction of morbidity, mortality and long-term outcome in surgery using machine learning on multimodal data.

Authors:  Martin Wagner; Johanna M Brandenburg; Sebastian Bodenstedt; André Schulze; Alexander C Jenke; Antonia Stern; Marie T J Daum; Lars Mündermann; Fiona R Kolbinger; Nithya Bhasker; Gerd Schneider; Grit Krause-Jüttler; Hisham Alwanni; Fleur Fritz-Kebede; Oliver Burgert; Dirk Wilhelm; Johannes Fallert; Felix Nickel; Lena Maier-Hein; Martin Dugas; Marius Distler; Jürgen Weitz; Beat-Peter Müller-Stich; Stefanie Speidel
Journal:  Surg Endosc       Date:  2022-09-28       Impact factor: 3.453

7.  A novel ex vivo trainer for robotic vesicourethral anastomosis.

Authors:  Kevin Shee; Kevin Koo; Xiaotian Wu; Fady M Ghali; Ryan J Halter; Elias S Hyams
Journal:  J Robot Surg       Date:  2019-01-28

Review 8.  Innovations in Urologic Surgical Training.

Authors:  Runzhuo Ma; Sharath Reddy; Erik B Vanstrum; Andrew J Hung
Journal:  Curr Urol Rep       Date:  2021-03-13       Impact factor: 3.092

Review 9.  Novel robotic systems and future directions.

Authors:  Ki Don Chang; Ali Abdel Raheem; Koon Ho Rha
Journal:  Indian J Urol       Date:  2018 Apr-Jun

10.  The role of AI technology in prediction, diagnosis and treatment of colorectal cancer.

Authors:  Chaoran Yu; Ernest Johann Helwig
Journal:  Artif Intell Rev       Date:  2021-07-04       Impact factor: 8.139

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