Abstract #2055
Improved Identification of MS Disease-Relevant Changes in Gray and White Matter using Susceptibility-Based Ultra-High Field MRI
David A. Rudko 1,2 , Igor Solovey 2 , Joseph S. Gati 2 , Marcelo Kremenchutzky 3 , and Ravi S. Menon 2
1
Department of Physics and Astronomy,
University of Western Ontario, London, Ontario, Canada,
2
Robarts
Research Institute, Centre for Functional and Metabolic
Mapping, London, Ontario, Canada,
3
Department
of Clinical Neurological Sciences, University of Western
Ontario, London, Ontario, Canada
Conventional MRI measures of multiple sclerosis (MS)
disease status, using the number and location of lesions
in white matter have not correlated well with clinical
symptoms or demonstrated significant predictive power
for understanding disease progression. The purpose of
this study was to evaluate quantitative susceptibility
(QS) and apparent transverse relaxation rate (R
2
*
)
mapping as surrogate biomarkers of clinically relevant,
age-adjusted demyelination and iron deposition in MS. QS
and R
2
*
maps
acquired using 7T gradient echo MRI identified
demyelination and iron accumulation in MS that
correlated strongly with clinical disability. Using this
information may allow earlier administration of
therapies and monitoring of MS pathology in-vivo.
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