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Abstract #1470

In-vivo classification of arteriolar sclerosis and small vessel atherosclerosis in aging, and prediction of cognitive decline

Nazanin Makkinejad1, Arnold M. Evia2, Ashish A. Tamhane2, David A. Bennett2, Julie A. Schneider2, and Konstantinos Arfanakis1,2
1Biomedical Engineering, Illinois Institute of Technology, Chicago, IL, United States, 2Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, United States

Arteriolar sclerosis and small vessel atherosclerosis are two age-related neuropathologies that are common in older adults and have been linked to cognitive decline and dementia. Definitive diagnosis of either pathology is only possible at autopsy. In this work, a novel MRI-based classifier was developed for predicting the presence of arteriolar sclerosis or small vessel atherosclerosis in-vivo. The classifier was first developed based on ex-vivo MRI and pathology data from a large community-based cohort of older adults and was then translated in-vivo. The performance of the classifier was assessed both ex-vivo and in-vivo.

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