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Updated: Dec 13, 2025

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Hybrid PET/MRI Imaging of Alzheimer's Disease Based on 18F-AV-1451
Published on: April 18, 2025
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Determining Amyloid-β Positivity Using 18F-AZD4694 PET Imaging
Joseph Therriault1,2,3, Andrea L Benedet1,2,3, Tharick A Pascoal1,2,3
1Translational Neuroimaging Laboratory, McGill University Research Centre for Studies in Aging, Douglas Hospital, McGill University, Montreal, Quebec, Canada.
Summary
This study establishes a quantitative threshold for amyloid-β PET imaging using 18F-AZD4694, aiding Alzheimer
Area of Science:
- Neurology
- Nuclear Medicine
- Biomarkers
Background:
- Amyloid-β plaque deposition is a key pathological marker of Alzheimer's disease (AD), detectable years before symptom onset.
- Accurate quantification of amyloid-β burden is crucial for AD diagnosis, clinical management, and clinical trial participant selection.
- 18F-AZD4694 is a high-affinity positron emission tomography (PET) ligand for imaging amyloid-β plaques, but quantitative cutoffs are lacking.
Purpose of the Study:
- To establish a reliable quantitative threshold for determining amyloid-β positivity using 18F-AZD4694 PET imaging.
- To compare multiple methods for deriving this quantitative cutoff in a diverse cohort.
Main Methods:
- 176 individuals (young adults, cognitively unimpaired elderly, cognitively impaired) underwent 18F-AZD4694 PET, lumbar puncture, MRI, and APOE genotyping.
- Five methods were used to derive quantitative thresholds: comparison with young-control SUV ratios (SUVRs), ROC curves (clinical and visual classification), Gaussian Mixture Modeling, and comparison with CSF Aβ42/Aβ40 ratio.
- 18F-AZD4694 SUVRs were normalized to cerebellar gray matter.
Main Results:
- Four methods (ROC curves based on visual/clinical classification, Gaussian Mixture Modeling, CSF Aβ comparison) showed good convergence, yielding optimal cutoffs between 1.51-1.56 SUVR.
- A threshold of 1.55 SUVR demonstrated reliable discriminative accuracy across multiple methods.
- A method based on young controls' means and 2 SDs produced a lower threshold (1.33 SUVR), disagreeing with other methods.
Conclusions:
- Several methods converge to support a quantitative 18F-AZD4694 PET threshold of 1.55 SUVR for amyloid-β positivity.
- This quantitative cutoff offers reliable discriminative accuracy for amyloid-β plaque detection.
- While visual assessment is current standard, quantitative thresholds can aid in resolving rater disagreements and evaluating borderline cases in clinical practice.
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