Abstract
Objective We compared amyloid positron emission tomography (PET) and magnetic resonance imaging (MRI) in subjects clinically diagnosed with Alzheimer's disease (AD), mild cognitive impairment (MCI), and older healthy controls (OHC) in order to test how these imaging biomarkers represent cognitive decline in AD. Methods Fifteen OHC, 19 patients with MCI, and 19 patients with AD were examined by [18F]florbetapir PET to quantify the standard uptake value ratio (SUVR) as the degree of amyloid accumulation, by MRI and the voxel-based specific regional analysis system for AD to calculate z-score as the degree of entorhinal cortex atrophy, and by mini-mental state examination (MMSE) and Alzheimer's Disease Assessment Scale-cognitive component - Japanese version (ADAS-Jcog) for cognitive functions. Results Both cutoff values for measuring AD-like levels of amyloid (1.099 for SUVR) and entorhinal cortex atrophy (1.60 for z-score) were well differentially diagnosed and clinically defined AD from OHC (84.2% for SUVR and 86.7% for z-score). Subgroup analysis based on beta-amyloid positivity revealed that z-score significantly correlated with MMSE (r=-0.626, p<0.01) and ADAS-Jcog (r=0.691, p<0.01) only among subjects with beta-amyloid. Conclusions This is the first study to compare [18F]florbetapir PET and MRI voxel-based analysis of entorhinal cortex atrophy for AD. Both [18F]florbetapir PET and MRI detected changes in AD compared with OHC. Considering that entorhinal cortex atrophy correlated well with cognitive decline only among subjects with beta-amyloid, [18F]florbetapir PET makes it possible to detect AD pathology in the early stage, whereas MRI morphometry for subjects with beta-amyloid provides a good biomarker to assess the severity of AD in the later stage.
| Original language | English |
|---|---|
| Pages (from-to) | 505-513 |
| Number of pages | 9 |
| Journal | International Journal of Geriatric Psychiatry |
| Volume | 30 |
| Issue number | 5 |
| DOIs | |
| Publication status | Published - 01-05-2015 |
| Externally published | Yes |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
All Science Journal Classification (ASJC) codes
- Geriatrics and Gerontology
- Psychiatry and Mental health
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