Identifying acute ischemic stroke patients within the thrombolytic treatment window using deep learning.
Journal:
Journal of neuroimaging : official journal of the American Society of Neuroimaging
PMID:
36068184
Abstract
BACKGROUND AND PURPOSE: Treatment of acute ischemic stroke is heavily contingent upon time, as there is a strong relationship between time clock and tissue progression. Work has established imaging biomarker assessments as surrogates for time since stroke (TSS), namely, by comparing signal mismatch between diffusion-weighted imaging (DWI) and fluid-attenuated inversion recovery (FLAIR) imaging. Our goal was to develop an automatic technique for determining TSS from imaging that does not require subspecialist radiology expertise.