2025/11/18 by Bowen Liang, Chao Song, Shibo Xia +4 · 1 voice
Engineering · Medicine · #Aortic aneurysm repair treatments #Soft Robotics and Applications #Surgical Simulation and Training
paper · pdf · doi:10.1002/mco2.70489
openalex publication_date 2025/11/18 · openalex created_date 2025/11/19 · openalex updated_date 2026/07/26
Endovascular surgical robots have advanced vascular surgery through the integration of automatic programs for complex interventions. However, current systems still lack full procedural automation capabilities. This single-center single-arm study explores the feasibility and safety of automatic robotic-assisted endovascular aortic repair (EVAR) using a novel surgical algorithm with in vitro and in vivo experiments. The EVAR process was deconstructed into surgical steps and programmed into an endovascular surgical robot, which executed the steps automatically based on parameters derived from image processing software. In vitro experiments using 3D-printed vascular models demonstrated millimeter-level precision, with reduced operation time, fluoroscopy time, and radiation exposure compared to manual robotic control. In vivo evaluations in four patients with abdominal aortic aneurysms achieved 100% technical and clinical success, with no major adverse events. Operation time averaged 110 ± 47 min, fluoroscopy time was 19 ± 6 min, and patient-side radiation exposure was 1251 ± 389 mGy. Surgeon-side radiation exposure was 4 ± 1 mGy. The results indicate that automatic robotic-assisted EVAR can be performed with acceptable accuracy and safety to provide standardized therapies, shorten operation time, and reduce radiation exposure of patients.