Acute ischemic stroke is a major cause of mortality and long-term disability worldwide. Mechanical thrombectomy has significantly improved patient outcomes; however, its success remains highly variable, particularly in tortuous cerebral anatomies and for clots with differing mechanical properties. Current clinical practice lacks quantitative tools to predict thrombectomy performance and relies largely on physician experience.
The objective of the VThrombectomy project was to develop and validate a virtual thrombectomy framework that integrates advanced computational modeling with in vitro experimentation. The project aimed to identify and quantify the biomechanical factors—such as clot composition, frictional interactions, vessel flexibility, and device mechanics—that govern thrombectomy success and failure. By doing so, the project sought to provide mechanistic insights that can support device design, procedural optimization, and future in silico clinical trials.