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Diffusion Tensor Magnetic Resonance Imaging in the Analysis of Neurodegenerative Diseases
Published on: July 28, 2013
Application of quantitative DTI metrics in sporadic CJD
E Caverzasi1, R G Henry2, P Vitali3
1Department of Neurology, University of California, San Francisco (UCSF), San Francisco, CA, USA ; Department of Neuroradiology, C. Mondino National Neurological Institute, Pavia. University of Pavia, Italy.
Abstract:
Diffusion Weighted Imaging is extremely important for the diagnosis of probable sporadic Jakob-Creutzfeldt disease, the most common human prion disease. Although visual assessment of DWI MRI is critical diagnostically, a more objective, quantifiable approach might more precisely identify the precise pattern of brain involvement. Furthermore, a quantitative, systematic tracking of MRI changes occurring over time might provide insights regarding the underlying histopathological mechanisms of human prion disease and provide information useful for clinical trials. The purposes of this study were: 1) to describe quantitatively the average cross-sectional pattern of reduced mean diffusivity, fractional anisotropy, atrophy and T1 relaxation in the gray matter (GM) in sporadic Jakob-Creutzfeldt disease, 2) to study changes in mean diffusivity and atrophy over time and 3) to explore their relationship with clinical scales. Twenty-six sporadic Jakob-Creutzfeldt disease and nine control subjects had MRIs on the same scanner; seven sCJD subjects had a second scan after approximately two months. Cortical and subcortical gray matter regions were parcellated with Freesurfer. Average cortical thickness (or subcortical volume), T1-relaxiation and mean diffusivity from co-registered diffusion maps were calculated in each region for each subject. Quantitatively on cross-sectional analysis, certain brain regions were preferentially affected by reduced mean diffusivity (parietal, temporal lobes, posterior cingulate, thalamus and deep nuclei), but with relative sparing of the frontal and occipital lobes. Serial imaging, surprisingly showed that mean diffusivity did not have a linear or unidirectional reduction over time, but tended to decrease initially and then reverse and increase towards normalization. Furthermore, there was a strong correlation between worsening of patient clinical function (based on modified Barthel score) and increasing mean diffusivity.
Insights
Quantitative MRI reveals specific brain patterns in sporadic Jakob-Creutzfeldt disease (sCJD). Mean diffusivity changes over time correlate with disease progression and clinical function, offering insights for diagnosis and trials.
Area of Science:
- Neuroimaging
- Neurology
- Prion Diseases
Background:
- Sporadic Jakob-Creutzfeldt disease (sCJD) is a fatal human prion disease.
- Diffusion Weighted Imaging (DWI) is crucial for sCJD diagnosis.
- Objective MRI quantification can enhance diagnostic precision and track disease progression.
Purpose of the Study:
- Quantify the cross-sectional pattern of gray matter changes in sCJD using MRI.
- Investigate longitudinal changes in mean diffusivity and atrophy in sCJD.
- Explore the relationship between MRI findings and clinical scales in sCJD patients.
Main Methods:
- Acquired MRI scans from 26 sCJD patients and 9 controls.
- Utilized Freesurfer for gray matter parcellation and quantitative analysis.
- Calculated mean diffusivity, fractional anisotropy, atrophy, and T1 relaxation in specific brain regions.
Main Results:
- Cross-sectional analysis showed preferential reduction in mean diffusivity in parietal, temporal lobes, posterior cingulate, and thalamus.
- Serial imaging revealed non-linear, initially decreasing then increasing, mean diffusivity over time.
- Increased mean diffusivity correlated significantly with worsening clinical function (modified Barthel score).
Conclusions:
- Quantitative MRI provides objective measures of brain involvement in sCJD.
- Longitudinal DWI changes in sCJD are complex and not uniformly progressive.
- MRI metrics, particularly mean diffusivity, show promise for monitoring disease and aiding clinical trials.

