Abstract #3929

Data-driven imaging marker for cerebral consequences of Post-Acute Sequelae of COVID19 - prospective validation and [18F]FEPPA PET correlation

Chuan Huang¹, Jia Ying¹, Paul Vaska², Ramin Parsey³, Christine Delorenzo³, Zennur Sekendiz⁴, Ashley Fontana ⁴, Minos Kritikos⁵, Sean A.P. Clouston⁵, and Benjamin J. Luft⁶

¹Radiology and Imaging Sciences, Emory University School of Medicine, Atlanta, GA, United States, ²Radiology, Stony Brook Medicine, Stony Brook, NY, United States, ³Psychiatry, Stony Brook Medicine, Stony Brook, NY, United States, ⁴Medicine, Stony Brook Medicine, Stony Brook, NY, United States, ⁵Family, Population, and Preventive Medicine, Stony Brook Medicine, Stony Brook, NY, United States, ⁶World Trade Center Health and Wellness Program, Stony Brook Medicine, Stony Brook, NY, United States

Synopsis

Keywords: Infectious Disease, Brain, PASC, COVID-19

Motivation: Recognizing neurological symptoms in Post-Acute Sequelae of COVID-19 (PASC), this study investigates neuroinflammatory markers to develop reliable neuroimaging diagnostics.

Goal(s): To validate CoreFA, a data-driven imaging marker, for detecting white matter changes and to explore its correlation with [18F]FEPPA PET neuroinflammatory markers.

Approach: Diffusion MRI-derived fractional anisotropy (FA) was assessed in white matter tracts to derive CoreFA. CoreFA was validated in a prospective cohort and examined for association with neuroinflammation via FEPPA PET.

Results: CoreFA demonstrated high diagnostic accuracy (AUC = 0.81 for initial group; AUC = 0.77 for prospective cohort). [18F]FEPPA PET scans confirmed neuroinflammation in regions with reduced FA.

Impact: The strong correlation between CoreFA and neuroinflammatory markers from PET imaging provides a potential biomarker for assessing PASC-related brain changes.

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