MP23-15 COMPARATIVE EVALUATION OF 2D AND NOVEL 3D ROBOTIC SURGERY MENTORING TOOLS

Abstract

You have accessJournal of UrologyTechnology & Instruments: Surgical Education & Skills Assessment II1 Apr 2015MP23-15 COMPARATIVE EVALUATION OF 2D AND NOVEL 3D ROBOTIC SURGERY MENTORING TOOLS Swar Shah, Anthony Jarc, Eric Hwang, Joey Chau, Jean-Christophe Bernhard, Inderbir Gill, Monish Aron, and Andrew Hung Swar ShahSwar Shah More articles by this author , Anthony JarcAnthony Jarc More articles by this author , Eric HwangEric Hwang More articles by this author , Joey ChauJoey Chau More articles by this author , Jean-Christophe BernhardJean-Christophe Bernhard More articles by this author , Inderbir GillInderbir Gill More articles by this author , Monish AronMonish Aron More articles by this author , and Andrew HungAndrew Hung More articles by this author View All Author Informationhttps://doi.org/10.1016/j.juro.2015.02.1258AboutPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookTwitterLinked InEmail INTRODUCTION AND OBJECTIVES The gold standard of robotic surgery mentoring is in-room proctoring via telestration on the vision cart touchscreen or 3D cursors on a second console. Previous investigation of remote tele-mentoring on the da Vinci® Si was limited to bi-directional audio with 2D vision and telestration for the proctor. Herein, we present an initial evaluation of the utility and efficiency of three novel 3D proctoring tools compared to standard 2D telestration. METHODS Pre-study questionnaires classified participants as trainees (<50 robotic cases, n=16) or proctors (≥50 robotic cases or Intuitive Surgical standardized proctors, n=16). Proctors mentored trainees using 4 tool types: 2D telestration, 3D pointers, 3D hands, and 3D instruments (Figure) – all with bi-directional audio. Proctor tool was randomly ordered and paired with one of 4 validated dry lab tasks. For each task, temporal metrics and number of errors committed were recorded. Proctors and trainees completed post exercise and post study questionnaires. Median and range of responses were calculated. Mann-Whitney U and Kruskal-Wallis tests were used for pairwise and group comparisons of proctor tools, respectively. RESULTS Overall, 80% of proctors favored mentoring with 3D vision to 2D vision (median 4.5/5). Proctors found 3D instruments more effective than 2D telestration and 3D pointers, and no different than 3D hands (p = 0.03, 0.05, 0.3, respectively). Trainees found 3D instruments more effective than 2D telestration and 3D pointers (p=0.001 and 0.009, respectively). Trainees also found 3D hands more effective than 2D telestration and 3D pointers (p=0.01 and 0.03, respectively), and reported no difference between 3D hands and 3D instruments (p=0.3). Though not significant, mean number of errors identified and mentored per tool type shows an increasing trend with tool complexity from 2D telestration, 3D pointers, 3D hands, to 3D instruments (p>0.05). No significant difference was detected for total number of errors, mean mentor time per error or time mentored per tool (p>0.05). CONCLUSIONS Experts preferred 3D vision for robotic mentoring, particularly with 3D instruments. More sophisticated mentoring tools, such as these, may enable mentors to better train new robotic surgeons by identifying more trainee errors and by providing more efficient and meaningful instruction. © 2015 by American Urological Association Education and Research, Inc.FiguresReferencesRelatedDetails Volume 193Issue 4SApril 2015Page: e272-e273 Advertisement Copyright & Permissions© 2015 by American Urological Association Education and Research, Inc.MetricsAuthor Information Swar Shah More articles by this author Anthony Jarc More articles by this author Eric Hwang More articles by this author Joey Chau More articles by this author Jean-Christophe Bernhard More articles by this author Inderbir Gill More articles by this author Monish Aron More articles by this author Andrew Hung More articles by this author Expand All Advertisement Advertisement PDF DownloadLoading ...