Abstract 273: Evaluating Clinical Outcomes and Cost‐Effectiveness of Robotic Carotid Artery Stenting: A Multi‐Center, Propensity Score Matched Study

Objective Preclinical studies suggest that robotic carotid artery stenting (CAS) could be superior to manual CAS. However, very limited comparative data exists comparing robotic and manual CAS patients. In addition, no data exists comparing the costs of manual and robotic CAS. Methods All robotic CAS cases at 2 academic neurosurgery centers were retrospectively reviewed and 1:1 propensity matched with manual CAS cases. Personnel costs, supply costs, and total procedure costs were collected in collaboration with hospital administration using time‐driven activity‐based cost‐analysis (TDABC). Results 24 robotic CAS cases were performed between 2019 and 2023. Co‐morbidities and baseline procedural characteristics were well‐matched between robotic and manual cases. Unplanned manual conversion was observed in only one robotic case (4.2%). Robotic CAS complications and outcomes were comparable to manual. Robotic CAS was associated with a significantly increased fluoroscopy time (29.0 vs. 19.2 min.; p<0.001). Robotic procedure time (88.9±18.2 min.) was significantly (p=0.003) higher than manual (68.72±22.4 min.). Health professional costs ($1,589.71±176.92, $1,375.99±233.39, p<0.005), supply cost ($3,918.25±421.20, $2,152.74±1,030.26, p<0.001) and total procedure costs ($5,306.11±608.95, $3,437.56±1,165.67, p<0.001) were greater for robotic CAS. Conclusions With a low rate of technical failure and post‐operative complications, we show robotic carotid artery stenting is safe and feasible in the first multi‐center and largest sample to date. In addition, robotic CAS achieves comparable clinical outcomes. Robotic CAS was associated with increased fluoroscopy time, but fluoroscopy time decreased as operators gained familiarity with the CorPath GRX. Robotic CAS was associated with a greater procedural cost, which was driven by greater personnel and supply costs. Our findings highlight the need for further studies to optimize robotic CAS and reduce its associated costs.