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Alzheimer's Imaging Consortium.

Christopher A Brown1, Manuel Taso2, Sandhitsu R Das1

  • 1University of Pennsylvania, Philadelphia, PA, USA.

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Summary
This summary is machine-generated.

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.

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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.