Abstract

You have accessJournal of UrologySurgical Technology & Simulation: Training & Skills Assessment III1 Apr 2017PD46-05 A RANDOMISED CONTROLLED TRIAL OF COGNITIVE TRAINING FOR TECHNICAL AND NON-TECHNICAL SKILLS IN ROBOTIC SURGERY Nicholas Raison, Kamran Ahmed, Takashige Abe, Abdullatif Aydin, Oliver Brunckhorst, Haleema Aya, Husnain Iqbal, David Eldred-Evans, Andrea Gavazzi, Giacomo Novara, Nicolo Buffi, Ben Challacombe, Craig McIlhenny, Shamim Khan, Henk Van Der Poel, and Prokar Dasgupta Nicholas RaisonNicholas Raison More articles by this author , Kamran AhmedKamran Ahmed More articles by this author , Takashige AbeTakashige Abe More articles by this author , Abdullatif AydinAbdullatif Aydin More articles by this author , Oliver BrunckhorstOliver Brunckhorst More articles by this author , Haleema AyaHaleema Aya More articles by this author , Husnain IqbalHusnain Iqbal More articles by this author , David Eldred-EvansDavid Eldred-Evans More articles by this author , Andrea GavazziAndrea Gavazzi More articles by this author , Giacomo NovaraGiacomo Novara More articles by this author , Nicolo BuffiNicolo Buffi More articles by this author , Ben ChallacombeBen Challacombe More articles by this author , Craig McIlhennyCraig McIlhenny More articles by this author , Shamim KhanShamim Khan More articles by this author , Henk Van Der PoelHenk Van Der Poel More articles by this author , and Prokar DasguptaProkar Dasgupta More articles by this author View All Author Informationhttps://doi.org/10.1016/j.juro.2017.02.2377AboutPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookTwitterLinked InEmail INTRODUCTION AND OBJECTIVES Cognitive training techniques such as mental imagery (MI) have been successfully used as training aids for sport, music and rehabilitation medicine. By stimulating similar neural pathways to motor tasks, MI practice leads to improved motor performance. Studies have shown that MI may be effective in surgery although so far this has been limited to laparoscopic technical skills training. Given the unique training challenges posed by robotic surgery, the potential for MI to supplement training outside of the costly and stressful operating room environment is considerable. This studies aims to establish the feasibility of cognitive training for technical and non-technical skills training in robotic surgery. METHODS A double blind, randomised controlled trial of 61 robotic novices was performed. ISRCTN registry ID ISRCTN47552076. All participants underwent initial basic robotic skills training using a robotic virtual reality simulator. Baseline ability was recorded. Participants were randomised to either MI or standard training in robotic technical and NTS skills. Participants performed 3 dry-lab warm-up exercises before completing a urethrovesical anastomosis (UVA) within a simulated operating room environment. Alongside completion of the UVA task, subjects were required to manage 3 NTS scenarios. Performances were video-recorded and analysed post hoc by blinded, expert robotic surgeons. Technical skills were assessed using GEARS and NOTSS was used for NTS. RESULTS 28 subjects underwent cognitive training and 33 underwent standard training. No significant differences in surgical experience or baseline ability between the 2 study groups. Cognitive training resulted in a significantly better technical performance compared to standard training (total GEARS score 13.37 vs 10.94, p = 0.007). No difference was seen in NTS performance (mean total NOTSS score for MI and standard training respectively 23.5 vs 27.0 p = 0.18). CONCLUSIONS This RCT provides strong evidence for the role of cognitive training in technical skills training in robotic surgery but not in NTS training. Further assessment of cognitive training in more experienced robotic surgeons is now required to determine the optimal integration of cognitive training into the robotic surgical curriculum. © 2017FiguresReferencesRelatedDetails Volume 197Issue 4SApril 2017Page: e891-e892 Advertisement Copyright & Permissions© 2017MetricsAuthor Information Nicholas Raison More articles by this author Kamran Ahmed More articles by this author Takashige Abe More articles by this author Abdullatif Aydin More articles by this author Oliver Brunckhorst More articles by this author Haleema Aya More articles by this author Husnain Iqbal More articles by this author David Eldred-Evans More articles by this author Andrea Gavazzi More articles by this author Giacomo Novara More articles by this author Nicolo Buffi More articles by this author Ben Challacombe More articles by this author Craig McIlhenny More articles by this author Shamim Khan More articles by this author Henk Van Der Poel More articles by this author Prokar Dasgupta More articles by this author Expand All Advertisement Advertisement PDF downloadLoading ...

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