Open AccessDiffusion basis spectrum imaging for identifying pathologies in MS subtypes
Author(s) -
Shirani Afsaneh,
Sun Peng,
Trinkaus Kathryn,
Perantie Dana C.,
George Ajit,
Naismith Robert T.,
Schmidt Robert E.,
Song ShengKwei,
Cross Anne H.
Publication year - 2019
Publication title -
annals of clinical and translational neurology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.824
H-Index - 42
ISSN - 2328-9503
DOI - 10.1002/acn3.50903
Subject(s) - diffusion mri , corpus callosum , white matter , medicine , fractional anisotropy , multiple sclerosis , imaging biomarker , biomarker , isotropy , neuropathology , pathology , magnetic resonance imaging , radiology , physics , biology , optics , biochemistry , disease , psychiatry
Diffusion basis spectrum imaging (DBSI) combines discrete anisotropic diffusion tensors and the spectrum of isotropic diffusion tensors to model the underlying multiple sclerosis (MS) pathologies. We used clinical MS subtypes as a surrogate of underlying pathologies to assess DBSI as a biomarker of pathology in 55 individuals with MS. Restricted isotropic fraction (reflecting cellularity) and fiber fraction (representing apparent axonal density) were the most important DBSI metrics to classify MS using brain white matter lesions. These DBSI metrics outperformed lesion volume. When analyzing the normal‐appearing corpus callosum, the most significant DBSI metrics were fiber fraction, radial diffusivity (reflecting myelination), and nonrestricted isotropic fraction (representing edema). This study provides preliminary evidence supporting the ability of DBSI as a potential noninvasive biomarker of MS neuropathology.