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Diffusion Tensor Magnetic Resonance Imaging in the Analysis of Neurodegenerative Diseases
Published on: July 28, 2013
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Quantitative evaluation of callosal abnormalities in relapsing-remitting multiple sclerosis using diffusion tensor
Lu Xu1, Sheng-Hui Chang1, Li Yang1
1Department of Neurology, Tianjin Neurological Institute, Tianjin Medical University General Hospital, Tianjin, 300052, PR China.
Clinical Neurology and Neurosurgery
|December 29, 2020
Summary
Diffusion tensor imaging (DTI) reveals significant corpus callosum (CC) damage in relapsing-remitting multiple sclerosis (RRMS) patients. DTI parameters show promise as sensitive biomarkers for detecting this pathological damage.
Area of Science:
- Neuroimaging
- Neurology
- Radiology
Background:
- Controversial findings exist regarding diffusion tensor imaging (DTI) changes in the corpus callosum (CC) of relapsing-remitting multiple sclerosis (RRMS) patients.
- Previous studies have reported varying results on CC alterations in RRMS.
Approach:
- A systematic literature review and meta-analysis were conducted.
- Included studies compared DTI parameters (FA, MD, AD, RD) between RRMS patients and healthy controls.
- Data were analyzed using Stata 12.0.
Key Points:
- Meta-analysis of 15 studies (461 RRMS patients, 365 controls) revealed significant reductions in whole CC, genu, and splenium FA in RRMS patients.
- Whole CC, genu, and splenium mean diffusivity (MD) were significantly increased in RRMS patients.
- Axial diffusivity (AD) and radial diffusivity (RD) were significantly increased in the whole CC of RRMS patients.
- Meta-regression indicated that the male ratio significantly influenced FA reduction in the splenium CC.
Conclusions:
- Diffusion tensor imaging parameters demonstrate increased sensitivity for detecting pathological damage in the corpus callosum of RRMS patients.
- DTI metrics can serve as valuable biomarkers for assessing CC involvement in RRMS.
- Further research may explore the specific impact of factors like gender on DTI findings in RRMS.

