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.

Neuroimage. Clinical
|March 14, 2014
PubMed

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.