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Abstract #1549

Feasibility of MUSE DTI in differentiation of spinal cord injury severity in cervical spondylotic myelopathy

Haoyue Shao1, Xiangyu Tang1, Qiufeng liu1, and Weiyin Vivian Liu2
1Tongji Hospital Affiliated to Tongji Medical College of Huazhong University of Science and Technology, Wuhan, China, 2GE Healthcare, Beijing, China

Synopsis

Keywords: Spinal Cord, Diffusion/other diffusion imaging techniques, cervical spondylotic myelopathyMUSE (Multiplexed Sensitivity-Encoding) is a novel diffusion weighted imaging with 2 to 3-excitations, phase acquisition step reduction, to achieve high-resolution diffusion imaging, higher signal-to-noise ratio, fewer motion artifacts and magnetic field inhomogeneities. In this study, we applied MUSE-based diffusion tensor imaging to investigate the compression-caused microstructure changes in the spinal cord of each subject. Our results suggested that MUSE-DTI computed parameters (Trace, FA, ADC) have dependable diagnostic values in detecting CSM (cervical spondylotic myelopathy) and that the ADC value is the best indicator of spinal cord compression.

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