1686
Enlarged Perivascular Spaces in Older Adults: Segmentation by Deep Learning; Correlations with Neuropathology and Cognitive Decline
Carles Javierre Petit1, Ashish A. Tamhane2, Arnold M. Evia1, Nazanin Makkinejad1, Gady Agam3, 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, 3Computer Science, Illinois Institute of Technology, Chicago, IL, United States
This work shows EPVS associations with gross infarcts and cerebral amyloid angiopathy, and independent contributions on cognition above and beyond neuropathologies and demographics in a large community cohort of older adults after quantitative assessment of EPVS using deep learning.
Figure 5: Neuropathologic correlates of EPVS. Pathologies with significant associations with EPVS in the single pathology models were included in the same multiple linear regression model and are listed in each element of this table. Abbreviations: AB=amyloid beta plaques, NFT=neurofibrillary tangles, HS=hippocampal sclerosis, GI=gross infarcts, MI=microscopic infarcts, ARS=arteriolosclerosis, ATH=atherosclerosis, CAA=cerebral amyloid angiopathy, LB=Lewy bodies, TDP=TDP-43 pathology. Significant pathologies are in bold. [PATH: COEFFICIENT (P-VALUE)].
Figure 2. Neuropathologic findings.