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Radiotracer Administration for High Temporal Resolution Positron Emission Tomography of the Human Brain: Application to FDG-fPET
Published on: October 22, 2019
Reduced FDG-PET brain metabolism and executive function predict clinical progression in elderly healthy subjects
Michael Ewers1, Matthias Brendel, Angela Rizk-Jackson
1Institute for Stroke and Dementia Research, Klinikum der Universität München, Ludwig-Maximilian-University, Munich, Germany ; Department of Radiology, University of California, San Francisco, CA, USA ; VA Medical Center, Center for Imaging of Neurodegenerative Diseases, San Francisco, CA, USA.
Abstract:
Brain changes reminiscent of Alzheimer disease (AD) have been previously reported in a substantial portion of elderly cognitive healthy (HC) subjects. The major aim was to evaluate the accuracy of MRI assessed regional gray matter (GM) volume, 18F-fluorodeoxyglucose positron emission tomography (FDG-PET), and neuropsychological test scores to identify those HC subjects who subsequently convert to mild cognitive impairment (MCI) or AD dementia. We obtained in 54 healthy control (HC) subjects a priori defined region of interest (ROI) values of medial temporal and parietal FDG-PET and medial temporal GM volume. In logistic regression analyses, these ROI values were tested together with neuropsychological test scores (free recall, trail making test B (TMT-B)) as predictors of HC conversion during a clinical follow-up between 3 and 4 years. In voxel-based analyses, FDG-PET and MRI GM maps were compared between HC converters and HC non-converters. Out of the 54 HC subjects, 11 subjects converted to MCI or AD dementia. Lower FDG-PET ROI values were associated with higher likelihood of conversion (p = 0.004), with the area under the curve (AUC) yielding 82.0% (95% CI = (95.5%, 68.5%)). The GM volume ROI was not a significant predictor (p = 0.07). TMT-B but not the free recall tests were a significant predictor (AUC = 71% (95% CI = 50.4%, 91.7%)). For the combination of FDG-PET and TMT-B, the AUC was 93.4% (sensitivity = 82%, specificity = 93%). Voxel-based group comparison showed reduced FDG-PET metabolism within the temporo-parietal and prefrontal cortex in HC converters. In conclusion, medial temporal and-parietal FDG-PET and executive function show a clinically acceptable accuracy for predicting clinical progression in elderly HC subjects.
Insights
Brain imaging (FDG-PET) and cognitive tests accurately predict conversion from healthy aging to Alzheimer's disease (AD) or mild cognitive impairment (MCI) in older adults.
Area of Science:
- Neuroimaging
- Neurology
- Geriatrics
Background:
- Brain changes resembling Alzheimer's disease (AD) are found in cognitively healthy (HC) elderly individuals.
- Identifying HC individuals at risk for progression to mild cognitive impairment (MCI) or AD dementia is crucial for early intervention.
Purpose of the Study:
- To assess the accuracy of MRI-derived gray matter (GM) volume, 18F-fluorodeoxyglucose positron emission tomography (FDG-PET), and neuropsychological tests in predicting conversion from HC to MCI or AD dementia.
- To identify predictors of clinical progression in elderly HC subjects.
Main Methods:
- 54 HC subjects underwent regional FDG-PET and medial temporal GM volume assessments.
- Logistic regression analyzed ROI values and neuropsychological scores (free recall, Trail Making Test B [TMT-B]) as predictors of conversion over 3-4 years.
- Voxel-based analyses compared FDG-PET and MRI GM maps between converters and non-converters.
Main Results:
- 11 out of 54 HC subjects converted to MCI or AD dementia.
- Lower FDG-PET ROI values significantly predicted conversion (AUC 82.0%).
- TMT-B scores also predicted conversion (AUC 71%), while free recall did not.
- The combination of FDG-PET and TMT-B achieved high predictive accuracy (AUC 93.4%).
- HC converters showed reduced temporo-parietal and prefrontal cortex metabolism on FDG-PET.
Conclusions:
- Medial temporal and parietal FDG-PET metabolism and executive function (TMT-B) accurately predict clinical progression in elderly HC individuals.
- These biomarkers offer clinically acceptable accuracy for identifying individuals at risk of developing MCI or AD dementia.
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