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Abstract #3663

Development of an MR-based Biomarker of Arteriolar Sclerosis

Nazanin Makkinejad1, Arnold M. Evia1, Ashish Tamhane2, Chantal Sopacua1, Sue E. Leurgans2,3, Julie A. Schneider2,3,4, David A. Bennett2,3, and Konstantinos Arfanakis1,2,5

1Department of Biomedical Engineering, Illinois Institute of Technology, Chicago, IL, United States, 2Rush Alzheimer's Disease Center, Rush University, Chicago, IL, United States, 3Department of Neurological Sciences, Rush University, Chicago, IL, United States, 4Department of Pathology, Rush University, Chicago, IL, United States, 5Department of Diagnostic Radiology, Rush University, Chicago, IL, United States

Arteriolar sclerosis is often present in the brain of older adults and has been associated with lower cognitive performance and higher risk of dementia. There is currently no standard biomarker for arteriolar sclerosis. Future clinical trials of therapeutic interventions targeting arteriolar sclerosis will require an approach for participant selection with high positive predictive value (PPV). The purpose of this work was to develop a classifier with high PPV for arteriolar sclerosis based on information about regional white matter hyperintensities, magnetic susceptibility, cerebral microbleeds, and demographics.

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