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Diffusion Tensor Magnetic Resonance Imaging in Chronic Spinal Cord Compression
Published on: May 7, 2019
Recovery after spinal cord relapse in multiple sclerosis is predicted by radial diffusivity
Patrick Freund1, Claudia Wheeler-Kingshott, Jonathan Jackson
1Department of Brain Repair and Rehabilitation, NMR Unit, UCL Institute of Neurology, London, UK.
Summary
Radial diffusivity in the spinal cord
Area of Science:
- Neuroimaging
- Multiple Sclerosis Research
- Spinal Cord Imaging
Background:
- Multiple sclerosis (MS) relapses can cause significant disability.
- Understanding predictors of recovery is crucial for MS patient management.
- Spinal cord involvement in MS impacts clinical outcomes.
Purpose of the Study:
- To investigate if diffusion tensor imaging (DTI) measures predict recovery after MS spinal cord relapse.
- To assess changes in radial diffusivity (RD) and axial diffusivity (AD) over time.
- To determine the role of RD and AD in the corticospinal tract (CST) of the cervical cord.
Main Methods:
- 14 MS patients with cervical cord relapses were assessed clinically over 6 months.
- Spinal cord DTI was performed at multiple time points.
- RD and AD were calculated in the CST and other spinal cord regions.
- Regression analyses identified predictors of clinical outcome.
Main Results:
- Lower baseline radial diffusivity in the corticospinal tract predicted better clinical recovery.
- Clinically improving patients showed a greater decrease in corticospinal tract radial diffusivity compared to controls.
- Radial diffusivity changes correlated with clinical improvement over time.
Conclusions:
- Radial diffusivity is a potential biomarker for predicting clinical recovery in MS.
- Dynamic changes in RD reflect spinal cord pathological processes like inflammation and remyelination.
- RD may be valuable in clinical trials for spinal cord injury and other neurological diseases.
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