Abstract #4855
Correlates of Perivascular Spaces Volume Based on Automated Segmentation of T1-weighted MRI
Sichen Ludwig Zhao1, William S Tackett2, Banafsheh Shakibajahromi2, Sudipto Dolui3, Ilya M Nasrallah3, David A Wolk2, Corey T McMillan2, Farshid Sepehrband4, and John A Detre2
1Department of Bioengineering, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, PA, United States, 2Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States, 3Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States, 4Laboratory of Neuroimaging, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA, United States
Synopsis
Perivascular spaces (PVS) are a component of the glymphatic system, the brain-wide waste drainage pathway, but the pathophysiological significance of enlarged perivascular space volume is incompletely characterized. We obtained PVS segmentations from 167 cognitively intact or mildly symptomatic older subjects from high-resolution T1-weighted MRI using an automated approach and correlated PVS volume with both amyloid status, as determined by amyloid PET, and cortical thickness changes from normative values. Automated PVS segmentations required additional masking of CSF spaces and manual exclusion of some lacunar infarcts. PVS volume was correlated with brain atrophy and not amyloid status.
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