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Abstract #4165

Diffusion magnetic resonance imaging for predicting changes in the severity of Progressive Supranuclear Palsy

Xiang-An Zhao1, Lin Sung-Han1, Tsai Chih-Chien1, Wu Yi-Ming2, Lin Wey-Yil3, Weng Yi-Hsin3, Lu Chin-Song3, and Wang Jiun-Jie1

1Medical Imaging and Radiological Sciences, Chang Gung University, Taoyuan City, Taiwan, 2Medical Imaging and Intervention, Chang Gung Memorial Hospital, Taoyuan City, Taiwan, 3Neurology, Chang Gung Memorial Hospital, Taoyuan City, Taiwan

Progressive Supranuclear Palsy (PSP) is an atypical Parkinsonism, which shared similar symptoms with Parkinson’s disease (PD) and PSP progressed typically much faster than PD and the prognosis is often poor. The linear regression analysis demonstrated the capability of diffusion MRI indices as measured from multiple brain regions in the prediction of two-year clinical severity. Strong predictive power can be observed in mHY, motor subscale of UPDRS and PIGD. The two-year clinical decay in patients with PSP can be accurately predicted by using diffusion tensor derived parameters as measured from distinct brain regions.

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