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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