Sensitivity of multi-shell NODDI to multiple sclerosis white matter changes: a pilot study

Insights

Neurite orientation dispersion and density imaging (NODDI) offers improved sensitivity and specificity for detecting white matter damage in multiple sclerosis (MS) patients compared to traditional diffusion tensor imaging (DTI). NODDI better distinguishes microstructural changes in normal-appearing white matter and lesions.

Area of Science:

  • Neuroimaging
  • Biomedical Engineering
  • Neurology

Background:

  • Diffusion tensor imaging (DTI) detects white matter (WM) damage in multiple sclerosis (MS), including normal-appearing WM (NAWM).
  • DTI indices can be confounded by natural WM variations like crossing fibers.
  • Neurite orientation dispersion and density imaging (NODDI) offers distinct measures of fiber density and dispersion.

Purpose of the Study:

  • To compare the efficacy of NODDI with DTI in characterizing WM microstructural changes in MS patients.
  • To assess NODDI's viability and sensitivity in detecting MS-related tissue damage.

Main Methods:

  • Performed NODDI and DTI on lesion tissue and NAWM in five MS patients and five controls.
  • Compared DTI indices with NODDI-derived measures of neurite orientation and density.

Main Results:

  • Both DTI and NODDI identified WM damage in MS lesions and NAWM.
  • NODDI revealed additional microstructural changes not detected by DTI.
  • NODDI provided better contrast in MS-NAWM by differentiating orientation dispersion and fiber density.

Conclusions:

  • NODDI is a viable neuroimaging technique for MS patients.
  • NODDI demonstrates improved sensitivity and potentially greater specificity than DTI for detecting microstructural alterations in MS white matter.