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Abstract #0540

CEST MRI with distribution-based analysis for assessment of early stage disease activity in a multiple sclerosis mouse model

Tao Liu1,2,3, Aline M Thomas1,3, Yanrong Chen1,4, Jeff WM Bulte1,3, and Xiaolei Song1,3

1Russell H. Morgan Dept. of Radiology and Radiological Science, Johns Hopkins University, Baltimore, MD, United States, 2Dept. of Neurology, Hainan General Hospital, Haikou, China, 3Cellular Imaging Section, Institute for Cell Engineering, Johns Hopkins University, Baltimore, MD, United States, 4Dept. of Information Sciences and Technology, Northwest University, Xi'an, China

Imaging biomarkers that can detect pathological alterations earlier in multiple sclerosis (MS) progression may enable earlier intervention and improved therapeutic efficacy of available treatments. Here we assessed disease manifestations at an early stage using CEST MRI in a preclinical MS model with histogram-guided analysis. The analysis method is simple-to-execute and robust for evaluation of diseases with subtle changes that lack a priori knowledge of abnormal regions of interest (ROIs) and have multiple potentially contributing offsets. We demonstrated that CEST Z-spectra signals at 1 and 2 ppm are potential MRI biomarkers for detecting early and subtle pathological changes in EAE mice.

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