Mp26-09 eye movement behavior associates with expertise level in robot-assisted surgery

You have accessJournal of UrologyCME1 Apr 2023MP26-09 EYE MOVEMENT BEHAVIOR ASSOCIATES WITH EXPERTISE LEVEL IN ROBOT-ASSISTED SURGERY Mehdi Seilanian Toussi, Saeed Shadpour, Kristopher Attwood, Qian Liu, Camille Gutierrez, james L. Mohler, and Somayeh B. Shafiei Mehdi Seilanian ToussiMehdi Seilanian Toussi More articles by this author , Saeed ShadpourSaeed Shadpour More articles by this author , Kristopher AttwoodKristopher Attwood More articles by this author , Qian LiuQian Liu More articles by this author , Camille GutierrezCamille Gutierrez More articles by this author , james L. Mohlerjames L. Mohler More articles by this author , and Somayeh B. ShafieiSomayeh B. Shafiei More articles by this author View All Author Informationhttps://doi.org/10.1097/JU.0000000000003254.09AboutPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookLinked InTwitterEmail Abstract INTRODUCTION AND OBJECTIVE: An objective method for assessing robot-assisted surgery (RAS) skills that can be used in clinical settings has not been established. This study aimed to compare visual metrics at three different skill levels—inexperienced, competent, or experienced— to determine whether eye gaze data differed among RAS surgeons. METHODS: Eleven right-handed participants who performed coagulation subtasks (monopolar or bipolar cautery) during hysterectomy, cystectomy, or nephrectomy on live pigs with the Da Vinci robot had their eye gaze data captured using TobiiPro2 eyeglasses. Visual metrics were extracted using eye gaze data (Table 1). An expert RAS surgeon evaluated each participant's performance and level of expertise after watching operation videos using the modified Global Evaluative Assessment of Robotic Skills (GEARS) assessment tool. Each metric was compared across the three skill levels—novice, competent, or experienced—using ANOVA. RESULTS: When participants performed coagulation using the dominant hand, the entropy of the right eye’s pupil diameter differed among skill levels (p-value = 0.01). When this subtask was completed with the non-dominant hand, the rates of change of the gaze directions of the left eye in the horizontal and vertical dimensions and the right eye in the vertical dimension differed (p-values = 2x10-6, 6x10-6, and 6x10-4, respectively) across skill levels. Table 2 shows the significance level for the difference in visual metrics between skill level pairs. CONCLUSIONS: Visual metrics differed significantly across RAS skill levels. The ease and efficacy of recording and evaluating visual data without interfering with the surgeon's work suggest a new objective surgical skill evaluation method that could be applied to clinical settings. Source of Funding: National Institute of Biomedical Imaging and Bioengineering of the National Institutes of Health under award number R01EB029398, the Alliance Foundation of Roswell Park Comprehensive Cancer Center, and the National Cancer Institute (NCI) grant P30CA016056 involving the use of Roswell Park Comprehensive Cancer Center’s Laboratory Animal Shared Resource and Applied Technology Laboratory for Advanced Surgery © 2023 by American Urological Association Education and Research, Inc.FiguresReferencesRelatedDetails Volume 209Issue Supplement 4April 2023Page: e355 Advertisement Copyright & Permissions© 2023 by American Urological Association Education and Research, Inc.MetricsAuthor Information Mehdi Seilanian Toussi More articles by this author Saeed Shadpour More articles by this author Kristopher Attwood More articles by this author Qian Liu More articles by this author Camille Gutierrez More articles by this author james L. Mohler More articles by this author Somayeh B. Shafiei More articles by this author Expand All Advertisement PDF downloadLoading ...