Abstract #0540

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

Tao Liu^1,2,3, Aline M Thomas^1,3, Yanrong Chen^1,4, Jeff WM Bulte^1,3, and Xiaolei Song^1,3

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.

This abstract and the presentation materials are available to members only; a login is required.

Join Here