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Updated: Jan 8, 2026

Hybrid PET/MRI Imaging of Alzheimer's Disease Based on 18F-AV-1451
Published on: April 18, 2025
Alzheimer's Imaging Consortium
Christopher A Brown1, Manuel Taso2, Sandhitsu R Das1
1University of Pennsylvania, Philadelphia, PA, USA.
New MRI techniques reveal that changes in brain microstructure and water permeability may predict ARIA-E risk in patients receiving anti-amyloid therapy. These advanced imaging methods offer improved detection and mechanistic insights into ARIA.
Area of Science:
- Neuroimaging
- Radiology
- Neurology
Background:
- Amyloid-related imaging abnormalities (ARIA-E) are a significant risk of anti-amyloid therapy (AAT).
- Current FLAIR MRI monitoring may be enhanced by novel contrast mechanisms for improved detection and mechanistic understanding.
- Investigating perivascular spaces, microstructural alterations, and water permeability using advanced MRI techniques in AAT patients.
Purpose of the Study:
- To investigate perivascular spaces, microstructural alterations, and parenchymal water permeability in patients receiving AAT.
- To assess the utility of novel MRI techniques for detecting and understanding ARIA-E.
- To explore potential MRI-based predictors of ARIA risk.
Main Methods:
- Eight participants receiving AAT underwent advanced imaging (multi-shell diffusion MRI, ultralong TE T2-weighted, T2-saturation water-exchange) alongside clinical MRIs.
- Sequences added <15 minutes to clinical 3T MRI protocols.
- Microstructure and water exchange were measured in relevant ROIs, including those that developed ARIA.
Main Results:
- Two patients developed ARIA-E, with distinct clinical trajectories.
- Patients who developed ARIA showed lower baseline NDI/ODI and transient increases at 2 months, contrasting with ARIA- patients.
- Increased water exchange and white matter FWF were observed in ARIA patients, with ARIA-E/H visualized on water exchange maps.
Conclusions:
- Water diffusion and exchange measures enhance understanding of ARIA, suggesting transient cellularity increases and prolonged water permeability.
- Findings indicate that microstructural changes may predict future ARIA risk.
- Ongoing data collection aims to further validate these novel MRI techniques for ARIA assessment.
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