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Prediction of Outcomes in Mild Cognitive Impairment by Using 18F-FDG-PET: A Multicenter Study
Kengo Ito1, Hidenao Fukuyama, Michio Senda
1Department of Clinical and Experimental Neuroimaging, National Center for Geriatrics and Gerontology, Aichi, Japan. kito@ncgg.go.jp
Journal of Alzheimer'S Disease : JAD
|January 16, 2015
Summary
18F-FDG-PET scans can predict Alzheimer's disease (AD) in patients with mild cognitive impairment (MCI). A specialized PET score showed high accuracy in identifying individuals likely to develop AD within two years.
Area of Science:
- Neurology
- Nuclear Medicine
- Biomarker Research
Background:
- 18F-FDG-PET is a recognized biomarker for neuronal injury per NIA-AA criteria.
- Mild cognitive impairment (MCI) is a prodromal stage for dementia, including Alzheimer's disease (AD).
Purpose of the Study:
- To evaluate the predictive value of 18F-FDG-PET for Alzheimer's disease (AD) development in patients with mild cognitive impairment (MCI).
- To compare visual interpretation with an automated PET score for predicting MCI to AD conversion.
Main Methods:
- A multicenter prospective cohort study involving 114 MCI patients.
- Clinical, neuropsychological, MRI, and 18F-FDG-PET assessments at baseline.
- 3-year follow-up to evaluate dementia progression, with visual and automated PET analysis.
Main Results:
- 47% of MCI patients progressed to probable AD within 3 years.
- The automated PET score achieved 83% diagnostic accuracy at 2 years, outperforming visual interpretation.
- The PET score was the most significant predictor of MCI to AD conversion.
Conclusions:
- The PET score is a highly significant predictor for conversion from MCI to AD.
- The PET score demonstrates promising diagnostic performance, particularly for rapid converters within 2 years.
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