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Updated: May 12, 2026

Hybrid PET/MRI Imaging of Alzheimer's Disease Based on 18F-AV-1451
Published on: April 18, 2025
Assessing mild cognitive impairment with amyloid and dopamine terminal molecular imaging
Roger L Albin1, James F Burke, Robert A Koeppe
1Department of Neurology, University of Michigan, Ann Arbor, Michigan 48109-2200, USA. ralbin@umich.edu
Unlabelled:
We evaluated PET-based classification of neurodegenerative pathology in mild cognitive impairment (MCI).
Methods:
Our study was a cross-sectional and prospective evaluation of a cohort of 27 MCI subjects drawn from a university-based cognitive disorders clinic. We compared expert clinical consensus classification of MCI at entry and possible dementia at follow-up with molecular imaging-based classification using (11)C-dihydotetrabenazine PET measurement of striatal dopamine terminal integrity and (11)C-Pittsburgh compound B ((11)C-PiB) PET measurement of cerebral amyloid burden.
Results:
Eleven subjects were initially classified clinically as amnestic MCI, 7 as multidomain MCI, and 9 as nonamnestic MCI. At a mean follow-up of 3 y, 18 subjects converted to dementia. PET imaging evidence of significant cerebral amyloid deposition or nigrostriatal denervation was a strong predictor of conversion to dementia. There was only moderate concordance between expert clinical classifications and PET-based classifications of dementia subtypes.
Conclusion:
Combined PET molecular imaging of cerebral amyloid burden and striatal dopamine terminal integrity may be useful for identifying subjects at high risk for progression to dementia and in defining neurochemically differentiated subsets of MCI subjects.
Insights
Positron emission tomography (PET) imaging of brain amyloid and dopamine pathways can predict dementia progression in mild cognitive impairment (MCI). This molecular imaging approach aids in identifying high-risk individuals and differentiating MCI subtypes.
Area of Science:
- Neuroscience
- Nuclear Medicine
- Geriatric Medicine
Background:
- Mild cognitive impairment (MCI) is a transitional stage between normal aging and dementia.
- Accurate classification of MCI subtypes and prediction of progression are crucial for timely intervention.
- Current clinical classifications may not fully capture underlying neurodegenerative pathology.
Purpose of the Study:
- To evaluate the utility of PET-based classification of neurodegenerative pathology in subjects with MCI.
- To compare molecular imaging findings with expert clinical consensus.
- To assess the predictive value of PET imaging for conversion to dementia.
Main Methods:
- Cross-sectional and prospective evaluation of 27 MCI subjects.
- Clinical classification of MCI at baseline and dementia at follow-up.
- PET imaging using (11)C-dihydotetrabenazine for dopamine terminal integrity and (11)C-Pittsburgh compound B ((11)C-PiB) for cerebral amyloid burden.
Main Results:
- 18 out of 27 subjects converted to dementia within a mean follow-up of 3 years.
- PET evidence of amyloid deposition or nigrostriatal denervation strongly predicted dementia conversion.
- Moderate concordance was observed between clinical and PET-based dementia classifications.
Conclusions:
- Combined PET imaging of amyloid burden and dopamine integrity may identify MCI subjects at high risk for dementia.
- Molecular imaging can help define neurochemically distinct MCI subtypes.
- PET offers a valuable tool for understanding and classifying neurodegenerative processes in MCI.
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