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Abstract #2029

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

Hao Wang1, Liyun Zheng2, Jixian Lin3,4, 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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