Ischemic stroke is characterized by the sudden loss of blood circulation to an area in the brain. Conventional imaging methods, including CT and MR, were difficult to evaluate and quantify the surface patterns of lesions. As textural features could serve as quantitative biomarkers of variation in surface intensity or patterns, in this study, we explored the feasibility of texture analysis (TA) based on T2-weighted fluid-attenuated inversion recovery (T2-FLAIR) as well as apparent diffusion coefficient (ADC) in predicting the prognosis of ischemic stroke. Our results indicated that the texture features could differentiate minor stroke from severe stroke, and detect functional outcomes.
This abstract and the presentation materials are available to members only; a login is required.