Abstract #0110

Quantifying Cervical Spinal Cord Pathology of Multiple Sclerosis Using Oscillating Gradient Spin-echo DWI

Sisi Li¹, Fan Liu¹, Yi Xiao¹, Diwei Shi², Mangsuo Zhao³, Yuqi Zhang³, Xianchang Zhang⁴, Yishi Wang⁴, Junzhong Xu^5,6,7, and Hua Guo¹

¹Center for Biomedical Imaging Research, Department of Biomedical Engineering, Tsinghua University, Beijing, China, ²Center for Nano and Micro Mechanics, Department of Engineering Mechanics, Tsinghua University, Beijing, China, ³Department of Neurology, Yuquan Hospital, School of Clinical Medicine, Tsinghua University, Beijing, China, ⁴MR Research Collaboration Team, Siemens Healthineers Ltd., Beijing, China, ⁵Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, United States, ⁶Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, United States, ⁷Department of Physics and Astronomy, Vanderbilt University, Nashville, TN, United States

Synopsis

Keywords: Microstructure, Diffusion Tensor Imaging, oscillating gradient, diffusion time, spinal cord, multiple sclerosis

Motivation: Spinal cord MRI has both diagnostic and prognostic value for multiple sclerosis (MS) patients. Several quantitative MRI biomarkers show high sensitivity to characterize MS lesions but lack pathological specificity. Time-dependent DWI may reveal microstructural features and pathological variations in MS.

Goal(s): To explore diffusion time-dependence in the cervical spinal cord and its potential to quantify pathology of MS

Approach: Optimized oscillating gradient spin-echo (OGSE) DTI were performed for healthy volunteers (N=18) and MS patients (N=17).

Results: Diffusivities show time-dependence in the dorsal-columns and lateral-funiculis of healthy controls. The increase of RD in MS lesions is larger than healthy WM when diffusion time decreases.

Impact: The time-dependence of diffusivities in the cervical spinal cord of healthy volunteers and MS patients are observed using optimized OGSE DWI sequences on a clinical scanner. This may reveal further insight into the microstructural differences and pathological variations in MS.

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