Abstract #2581

Prognosis of body function in Parkinson’s disease using diffusion magnetic resonance imaging

Chih-Chien Tsai¹, Po-Yuan Chen², Sung-han Lin², Shu-Hang Ng³, Yao-Liang Chen⁴, Chin-Song Lu⁵, Jur-Shan Cheng⁶, Yi-Hsin Weng⁵, Wey-Yil Lin⁷, Yi-Ming Wu³, and Jiun-Jie Wang²

¹Healthy Aging Research Center, Chang Gung University, TaoYuan, Taiwan, ²Department of Medical Imaging and Radiological Sciences, Chang Gung University, TaoYuan, Taiwan, ³Department of Medical Imaging and Intervention, Chang Gung Memorial Hospital, Linkou, Taiwan, ⁴Department of Medical Imaging and Intervention, Chang Gung Memorial Hospital, Keelung, Taiwan, ⁵Neuroscience Research Center, Chang Gung Memorial Hospital, Linkou, Taiwan, ⁶Clinical Informatics and Medical Statistics Research Center, Chang Gung University, TaoYuan, Taiwan, ⁷Department of Neurology, Landseed Hospital, TaoYuan, Taiwan

Parkinson’s disease (PD) is a common progressive neurodegenerative disorder characterized by resting tremor, bradykinesia, restricted mobility, and postural instability. PD has a progressive course and is associated with increased mortality, with physical disability and non-motor symptoms exerting a significant negative impact on quality of life. Robust early prediction of clinical outcomes in Parkinson’s disease would be paramount for implementing appropriate management interventions. The predictive power varied according to the clinical measures used and was highest in the prediction of UPDRS. This finding was further confirmed by using bootstrap approach and leave-one-out cross-validation analysis.

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