Machine Meets Brain: A Systematic Review of Effectiveness of Robotically Performed Cerebral Angiography Interventions

Abstract

BACKGROUND: Stroke is a leading cause of death in the United States, with significant economic and human costs. Early diagnosis and rapid treatment are critical for preventing stroke-related morbidity and mortality. However, accessibility to neurointerventional medical centers remains a challenge for many Americans, highlighting the need for innovative solutions to improve stroke management. METHODS: This systematic review adhered to the PRISMA (preferred reporting items for systematic reviews and meta-analyses) guidelines and included 5 medical databases to identify relevant studies on robotically assisted cerebral angiography (RCA). Studies focusing on in-human robotic intracranial cerebral angiography were included. A bias assessment was conducted using appropriate tools for randomized controlled trials (RCTs) and non-RCTs. RESULTS: A total of 7 studies met the inclusion criteria, with 1 RCT and 6 non-RCTs included in the analysis. Robotic systems such as CorPath GRX, Magellan robot, YDHB-NS01, VIR-2 (vascular interventional robot), and RobEnt were evaluated. The studies reported various success rates, procedure times, and complications associated with robotically assisted procedures. Overall, the robotic interventions demonstrated promising results in terms of safety and efficacy, with comparable outcomes to manual methods. Despite the promising findings, several limitations were identified, including technical issues with the robotic systems, the high costs, and limited long-term data. Future research should focus on standardizing protocols, conducting larger trials with longer follow-up periods, and assessing cost-effectiveness to determine the role of RCA in clinical practice. CONCLUSIONS: RCA shows potential as a valuable tool in neuroendovascular interventions. Addressing the technical challenges and conducting further research will be crucial to fully realize the clinical benefits of this innovative technology and improve patient outcomes in stroke management.