Abstract #0902
Prediction of disease course in multiple sclerosis using cortical thinning measurements at baseline
Sushmita Datta 1 , Koushik A Govindarajan 1 , Stacey S. Cofield 2 , Gary R. Cutter 2 , Fred D. Lublin 3 , Jerry S. Wolinsky 4 , and Ponnada A. Narayana 1
1
Department of Diagnostic and Interventional
Imaging, The University of Texas Health Science Center
at Houston, Houston, Texas, United States,
2
Department
of Biostatistics, University of Alabama at Birmingham,
Birmingham, Alabama, United States,
3
The
Corinne Goldsmith Dickinson Center for Multiple
Sclerosis, Mount Sinai School of Medicine, New York, New
York, New York, United States,
4
Department
of Neurology, The University of Texas Health Science
Center at Houston, Houston, Texas, United States
Multiple sclerosis (MS) is a heterogeneous disease with
variable disease course. This poses a challenge in
identifying predictors of the disease course in
individual patients. Cortical thinning is one of the
measures that may have predictive value. We have
estimated cortical thickness using high resolution
magnetic resonance imaging (MRI) in a large cohort of
596 RRMS patients. These studies indicate that
significant cortical thinning of inferior parietal gyrus,
temporal pole, and supramarginal gyrus in the right
hemisphere at baseline that persists at six months can
predict disease status at 36 months.
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