Abstract #3663

Development of an MR-based Biomarker of Arteriolar Sclerosis

Nazanin Makkinejad¹, Arnold M. Evia¹, Ashish Tamhane², Chantal Sopacua¹, Sue E. Leurgans^2,3, Julie A. Schneider^2,3,4, David A. Bennett^2,3, and Konstantinos Arfanakis^1,2,5

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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