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Abstract #0883

Correlations of inflammation metrics from multi echo T2 relaxation and multi-shell diffusion imaging in multiple sclerosis

Tigris S. Joseph1,2, Hanwen Liu2,3,4, Shannon H. Kolind1,2,4,5, Guojun Zhao4, Peng Sun6, Robert Carruthers4, Alice Schabas4, Ana-Luiza Sayao4, Virginia Devonshire4, Roger Tam5,7, G. R. Wayne Moore2,4,8, David K. B. Li4,5, Sheng-Kwei Song9, Anthony Traboulsee4, Irene M. Vavasour2,5, and Cornelia Laule1,2,5,8
1Physics and Astronomy, University of British Columbia, Vancouver, BC, Canada, 2International Collaboration on Repair Discoveries, University of British Columbia, Vancouver, BC, Canada, 3Montreal Neurological Institute - Hospital, McGill University, Montreal, QC, Canada, 4Medicine, University of British Columbia, Vancouver, BC, Canada, 5Radiology, University of British Columbia, Vancouver, BC, Canada, 6Imaging Physics, MD Anderson Cancer Center, Houston, TX, United States, 7School of Biomedical Engineering, University of British Columbia, Vancouver, BC, Canada, 8Pathology & Laboratory Medicine, University of British Columbia, Vancouver, BC, Canada, 9Radiology, Washington University, St. Louis, MO, United States

Synopsis

Inflammation is a key component in multiple sclerosis (MS) pathology. Quantitative MRI metrics reflecting inflammation are important for understanding disease processes in vivo. Metrics from multi-echo T2 relaxation, Diffusion Basis Spectrum Imaging (DBSI) and Neurite Orientation Dispersion and Density Imaging (NODDI) were compared in participants with MS and healthy controls. NODDI neurite density index and DBSI restricted fraction were correlated and may be sensitive to similar pathology. GMT2 correlated negatively with cellularity, but positively with oedema, suggesting oedema may be a key mechanism driving GMT2 increases. Our findings support a complementary T2 and diffusion approach to probe inflammation in MS.

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