Diffusion tensor imaging (DTI) and its clinical correlates in drug naïve Wilson's disease

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Rakesh Jadav1, Jitender Saini, Sanjib Sinha

  • 1Department of Neurology, National Institute of Mental Health and Neurosciences (NIMHANS), Bangalore, 560 029, Karnataka, India.

Insights

Diffusion tensor imaging (DTI) reveals widespread white matter (WM) abnormalities in drug-naïve Wilson

Area of Science:

  • Neuroimaging
  • Neurology
  • Medical Physics

Background:

  • Wilson's disease (WD) is a genetic disorder characterized by copper accumulation.
  • White matter (WM) abnormalities are known in WD, but their full extent is unclear.
  • Conventional MRI may not detect subtle WM changes.

Purpose of the Study:

  • To evaluate white matter (WM) abnormalities in drug-naïve Wilson's disease (WD) patients using diffusion tensor imaging (DTI).
  • To correlate DTI metrics with clinical scores to assess disease severity.

Main Methods:

  • Prospective case-control study with 15 drug-naïve WD patients and 15 controls.
  • Acquisition of 3T MRI including DTI and conventional sequences (T2W/FLAIR).
  • Analysis of fractional anisotropy (FA) and mean diffusivity (MD) in various brain regions.

Main Results:

  • WD patients showed significantly increased MD and decreased FA in multiple WM regions, including those appearing normal on conventional MRI.
  • Abnormalities were noted in the frontal and occipital WM, internal capsules, and midbrain.
  • Clinical scores correlated with DTI metrics, indicating MD's association with neurological symptoms and daily living activities.

Conclusions:

  • DTI is sensitive to widespread WM abnormalities in drug-naïve WD, even in areas with normal conventional MRI appearance.
  • DTI metrics can reveal the true extent of WM involvement in WD.
  • DTI may serve as a valuable tool for assessing WD severity.