Abstract #2029

Texture analysis based on ADC maps and T2-FLAIR images in prognosis of ischemic stroke

Hao Wang¹, Liyun Zheng², Jixian Lin^3,4, Jing Zhao³, Bin Song¹, and Yongming Dai²

¹Department of Radiology, Minhang Hospital, Fudan University, Shanghai, China, ²United Imaging Healthcare, MR collaboration, Shanghai, China, ³Department of Neurology, Minhang Hospital, Fudan University, Shanghai, China, ⁴Department of Electronic Engineering, Fudan University, Shanghai, China

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.

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