PD58-11 BEYOND EFFICIENCY: SURFACE ELECTROMYOGRAPHY ENABLES FURTHER INSIGHTS INTO THE QUALITY OF SURGICAL MOVEMENT OF EXPERT UROLOGISTS (2021)

You have accessJournal of UrologySurgical Technology & Simulation: Training & Skills Assessment (PD58)1 Sep 2021PD58-11 BEYOND EFFICIENCY: SURFACE ELECTROMYOGRAPHY ENABLES FURTHER INSIGHTS INTO THE QUALITY OF SURGICAL MOVEMENT OF EXPERT UROLOGISTS Perry Xu, Daniel Haik, Pengbo Jiang, Andrew Brevik, Akhil Peta, Zhamshid Okhunov, Shlomi Tapiero, Emmanuel John, Rahul Soangra, Jaime Landman, and Ralph Clayman Perry XuPerry Xu More articles by this author , Daniel HaikDaniel Haik More articles by this author , Pengbo JiangPengbo Jiang More articles by this author , Andrew BrevikAndrew Brevik More articles by this author , Akhil PetaAkhil Peta More articles by this author , Zhamshid OkhunovZhamshid Okhunov More articles by this author , Shlomi TapieroShlomi Tapiero More articles by this author , Emmanuel JohnEmmanuel John More articles by this author , Rahul SoangraRahul Soangra More articles by this author , Jaime LandmanJaime Landman More articles by this author , and Ralph ClaymanRalph Clayman More articles by this author View All Author Informationhttps://doi.org/10.1097/JU.0000000000002092.11AboutPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookLinked InTwitterEmail Abstract INTRODUCTION AND OBJECTIVE: The advent of laparoscopic and robotic surgery has required urologists to hone multiple skillsets that involve complex movements. Surface electromyography (EMG) accurately records aspects of complex movements. Our objective was to use EMG to capture the differences of surgical movement between expert urologists and trainees while performing laparoscopic and robotic surgical tasks. METHODS: Based on surgical experience, 26 participants were divided into three groups: novice trainees (no surgical training; n=10), intermediate trainees (resident; n=11), and experts (faculty; n=5). With 12 surface EMG electrodes affixed to the upper extremities, participants performed 2 tasks: laparoscopic peg transfer (LPT) and robotic suturing (RS) (Figure 1). Performance EMG data were computed based on muscular activation and workload. These variables were compared across groups using ANOVA statistical analysis; significance was defined as p<0.05 and differences were confirmed with posthoc Tukey analysis. RESULTS: Novices took longer to complete the LPT and RS tasks (Table 1). There was no significant difference across skill level for both tasks in muscle contraction range, root mean square (variability in linear motion), and average work per second. Experts had higher muscle contraction frequency compared to both novices and intermediate trainees in RS (p<0.01). Intermediate trainees had higher muscle contraction frequency compared to novices in LPT (p=0.03). Experts had lower cumulative workload in RS compared to novices (p=0.04). CONCLUSIONS: Contrary to open surgery where speed is often regarded as a primary indicator of skill, among a range of personnel there was no significant difference in efficiency in task completion. Instead, experts in robotic surgery were distinguished by a higher muscle contraction frequency indicating a more concentrated effort expended on fine muscle control and microadjustments. Source of Funding: None © 2021 by American Urological Association Education and Research, Inc.FiguresReferencesRelatedDetails Volume 206Issue Supplement 3September 2021Page: e1021-e1021 Advertisement Copyright & Permissions© 2021 by American Urological Association Education and Research, Inc.MetricsAuthor Information Perry Xu More articles by this author Daniel Haik More articles by this author Pengbo Jiang More articles by this author Andrew Brevik More articles by this author Akhil Peta More articles by this author Zhamshid Okhunov More articles by this author Shlomi Tapiero More articles by this author Emmanuel John More articles by this author Rahul Soangra More articles by this author Jaime Landman More articles by this author Ralph Clayman More articles by this author Expand All Advertisement Loading ...