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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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