1569 NOVEL AUGMENTED REALITY VIDEO SIMULATION FOR ROBOTIC PARTIAL NEPHRECTOMY SURGERY TRAINING

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You have accessJournal of UrologyTechnology & Instruments: Surgical Education & Skills Assessment (II)1 Apr 20131569 NOVEL AUGMENTED REALITY VIDEO SIMULATION FOR ROBOTIC PARTIAL NEPHRECTOMY SURGERY TRAINING Andrew Hung, Patrick Ramos, Jeremy Montez, and Inderbir Gill Andrew HungAndrew Hung Los Angeles, CA More articles by this author , Patrick RamosPatrick Ramos Los Angeles, CA More articles by this author , Jeremy MontezJeremy Montez Los Angeles, CA More articles by this author , and Inderbir GillInderbir Gill Los Angeles, CA More articles by this author View All Author Informationhttps://doi.org/10.1016/j.juro.2013.02.3099AboutPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookTwitterLinked InEmail INTRODUCTION AND OBJECTIVES Existing robotic virtual reality simulators have focused on basic surgical skills. Mimic Technologies and USC Urology have jointly developed a prototype training module featuring augmented reality simulation on the dV-Trainer. Users observe 3D video of robotic kidney surgery and operate augmented virtual instruments to identify anatomy, demonstrate technical skills, and learn steps of the operation. Herein, we evaluate the face, content, and construct validity of the proof-of-concept prototype. METHODS Pre-study questionnaires were used to classify participants as “novice” (no prior robotic cases as primary surgeon (n=24)) or “expert” (≥30 cases (n=12)). Participants were prospectively assessed on a training module featuring the bowel mobilization segment of a robotic partial nephrectomy. Performance metrics collected using Mimic software on the dV-Trainer were categorized as anatomy, technical, or steps. A post-study questionnaire assessed realism of simulation module (face validity), and utility as training tool (content validity). Wilcoxon nonparametric test compared performance data between cohorts (construct validity). RESULTS Novice and expert surgeons had performed a median of 0 and 200 (30-2015) robotic cases, respectively (p=0.004). Experts rated the module as “very realistic” (median 8/10 (range 4-10)) and “very useful” for resident training (9/10 (5-10)). Anatomy and steps exercises rated highly as training tools (8.5/10 (6-10) and 8/10 (5-10), respectively). Technical exercises in the prototype form received more modest scoring (5.5/10 (2-9)). Experts outperformed novices on overall attempts to correct answer (p=0.004), while they took similar time to complete all exercises (p=0.1). Expert outperformed novices on steps questions (no. attempts p<0.0001; answering time p=0.004), but performed similarly on anatomy questions (no. attempts p=0.2; time p=0.09) and technical skills exercises (no. attempts p=0.06; time p=0.7). CONCLUSIONS This proof-of-concept prototype using augmented reality simulation has face and content validity, and construct validity in teaching steps of the operation. Anatomy identification and technical skills training exercises will undergo further refinement in development. © 2013 by American Urological Association Education and Research, Inc.FiguresReferencesRelatedDetailsCited byHung A, Shah S, Dalag L, Shin D and Gill I (2015) Development and Validation of a Novel Robotic Procedure Specific Simulation Platform: Partial NephrectomyJournal of Urology, VOL. 194, NO. 2, (520-526), Online publication date: 1-Aug-2015. Volume 189Issue 4SApril 2013Page: e643-e644 Advertisement Copyright & Permissions© 2013 by American Urological Association Education and Research, Inc.MetricsAuthor Information Andrew Hung Los Angeles, CA More articles by this author Patrick Ramos Los Angeles, CA More articles by this author Jeremy Montez Los Angeles, CA More articles by this author Inderbir Gill Los Angeles, CA More articles by this author Expand All Advertisement Advertisement PDF downloadLoading ...