Abstract #0910
Quantitatively Characterize Pathological Compositions for Different Types of Multiple Sclerosis Lesion
Yong Wang 1,2 , Peng Sun 1 , Qing Wang 1 , Kathryn Trinkaus 3 , Robert T. Naismith 4 , Robert E. Schmidt 4 , Anne H. Cross 2,4 , and Sheng-Kwei Song 1,2
1
Radiology, Washington University in St.
Louis, Saint Louis, MO, United States,
2
Hope
Center for neurological Disorders, Washington University
in St. Louis, Saint Louis, MO, United States,
3
Biostatistics,
Washington University in St. Louis, Saint Louis, MO,
United States,
4
Neurology,
Washington University in St. Louis, Saint Louis, MO,
United States
Accurately characterizing and quantifying the
pathological composition within multiple sclerosis (MS)
lesions can provide important evidence and information
to better assess disease severity, monitor progression
and evaluate treatment effects. However available
conventional and quantitative MRI is incapable to
distinguish pathological components within MS lesions.
Against this background, diffusion basis spectrum
imaging (DBSI) was recently developed to simultaneously
quantify axonal injury, demyelination and inflammation.
This study found that DBSI metrics and quantitative
histology measured the same pathological
characteristics, and DBSI can quantitatively
characterize pathological compositions for different MS
lesion types, a task yet to be demonstrated by other
neuroimaging approaches.
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