Imaging selection in ischemic stroke: Feasibility of automated CT-perfusion analysis

Abstract

Background: Advanced imaging may refine patient selection for ischemic stroke treatment but delays to acquire and process the imaging have limited implementation. Aims: We examined the feasibility of imaging selection in clinical practice using fully automated software in the EXTEND trial program. Methods: CTP and perfusion-diffusion MRI data were processed using fully-automated software to generate a yes/no 'mismatch' classification that determined eligibility for trial therapies. The technical failure/mismatch classification error rate and time to image and treat with CT vs. MR-based selection were examined. Results: In a consecutive series of 776 patients from five sites over six-months t..