You have accessJournal of UrologySurgical Technology & Simulation: Training & Skills Assessment (PD58)1 Sep 2021PD58-02 ROBOTIC SURGERY SKILL TRANSFERENCE BETWEEN MULTI-PORT (MP) AND SINGLE-PORT (SP) ROBOTIC PLATFORMS Rachel Melnyk, Patrick Saba, Michael Witthaus, Tyler Holler, Beilei Xu, Wencheng Wu, Alexis Steinmetz, Kit Yuen, Karen Doersch, Elizabeth Ellis, Mahmoud Khalil, Jacob Gantz, William Tabayoyong, Jonathan Bloom, Hani Rashid, Nicholas Kavoussi, and Ahmed Ghazi Rachel MelnykRachel Melnyk More articles by this author , Patrick SabaPatrick Saba More articles by this author , Michael WitthausMichael Witthaus More articles by this author , Tyler HollerTyler Holler More articles by this author , Beilei XuBeilei Xu More articles by this author , Wencheng WuWencheng Wu More articles by this author , Alexis SteinmetzAlexis Steinmetz More articles by this author , Kit YuenKit Yuen More articles by this author , Karen DoerschKaren Doersch More articles by this author , Elizabeth EllisElizabeth Ellis More articles by this author , Mahmoud KhalilMahmoud Khalil More articles by this author , Jacob GantzJacob Gantz More articles by this author , William TabayoyongWilliam Tabayoyong More articles by this author , Jonathan BloomJonathan Bloom More articles by this author , Hani RashidHani Rashid More articles by this author , Nicholas KavoussiNicholas Kavoussi More articles by this author , and Ahmed GhaziAhmed Ghazi More articles by this author View All Author Informationhttps://doi.org/10.1097/JU.0000000000002092.02AboutPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookLinked InTwitterEmail Abstract INTRODUCTION AND OBJECTIVE: As surgeons adopt the new da Vinci single-port (SP) robotic platform, we aim to identify if multi-port (MP) robotic skills are readily transferable to SP surgery. METHODS: 5 MP robotic experts (>200 cases) and 5 MP novices (<10 cases) all with no prior SP experience independently completed a validated urethrovesical anastomosis (UVA) simulation using the MP followed by the SP robot. GEARS and RACE scores were assigned by 2 blinded reviewers. Objective [galvanic skin response (GSR)] and subjective [Surg-TLX (/100) and difficulty ratings (/20) of camera movement, endowrist movement, and avoiding instrument collisions] cognitive load measurements were collected. RESULTS: Experts achieved significantly greater GEARS and RACE scores on MP (27 v 17.3, p<0.001; 26.9 v 15.9, p<0.001, respectively) and SP (24.1 v 18.1, p=0.002; 21.8 v 16.3, p=0.017) than Novices. Experts had significantly higher Surg-TLX (+13 pts, p=0.015) and difficulty ratings using SP compared to MP (+11.8, p<0.01; +13.6, p<0.01; +14 pts, p<0.01) while Novices maintained high Surg-TLX and difficulty scores on both platforms [rating only the SP camera movement to be significantly more difficult (+7.2, p=0.03)]. GSR demonstrated similar trends. Experts’ UVA performance (GEARS and RACE) significantly decreased from MP to SP (27→24.1, p=0.047; 26.9→21.8, p=0.011, respectively).On subanalysis, Experts had significant decreases in GEARS subscores of force sensitivity and robotic control (-0.7, p=0.04; -0.9, p=0.02), but maintained subscores of depth perception, bimanual dexterity, and efficiency. RACE subscores of needle entry, needle driving, and tissue approximation (-0.9, p=0.01; -1.0, p=0.02; -1.0, p<0.01) significantly decreased while maintaining subscores of needle positioning and suture placement. Both Experts and Novices were rated significantly lower at the knot tying skill on the SP robot (-1.0, p=0.03; -1.2, p=0.02, respectively). CONCLUSIONS: For experts proficient in MP, specific SP training should be developed due to partial skill transference. Cognitive load remained steady for novices across robots, suggesting that concurrent SP and MP training may be possible. Source of Funding: N/A © 2021 by American Urological Association Education and Research, Inc.FiguresReferencesRelatedDetails Volume 206Issue Supplement 3September 2021Page: e1016-e1017 Advertisement Copyright & Permissions© 2021 by American Urological Association Education and Research, Inc.MetricsAuthor Information Rachel Melnyk More articles by this author Patrick Saba More articles by this author Michael Witthaus More articles by this author Tyler Holler More articles by this author Beilei Xu More articles by this author Wencheng Wu More articles by this author Alexis Steinmetz More articles by this author Kit Yuen More articles by this author Karen Doersch More articles by this author Elizabeth Ellis More articles by this author Mahmoud Khalil More articles by this author Jacob Gantz More articles by this author William Tabayoyong More articles by this author Jonathan Bloom More articles by this author Hani Rashid More articles by this author Nicholas Kavoussi More articles by this author Ahmed Ghazi More articles by this author Expand All Advertisement Loading ...