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Principal Investigator  
Principal Investigator's Name: Thomas Gates
Institution: St Vincent's Centre for Applied Medical Research
Department: Clinical Research Program
Country:
Proposed Analysis: My understanding is that newly recruited participants in ADNI-3 underwent 18F-Florbetaben (FBB) PET scans. Our study is a pilot diagnostic validation study aiming to validate a novel MRI sequence against amyloid PET scanning (as gold-standard) to detect amyloid burden in the brain. We have conducted paired MRI and FBB PET scans in 22 patients (age M=72.5, SD=7.1; 59% female, 46% healthy controls, 27% clinical diagnosis of MCI, 27% clinical diagnosis of AD). One of our planned sub-analyses involves classifying each participant as having either high or low amyloid burden according to a FBB SUVr cut-off in 10 different sub-regions of interest (encompassing the prefrontal, orbitofrontal, parietal, lateral temporal, posterior cingulate cortices, precuneus, hippocampus, and occipital lobes), and then comparing the MRI signal between these two groups in each sub-region. We have found in preliminary analyses that applying existing SUVr cut-offs based on a composite region (e.g., the entire frontal cortex) to individual sub-regions appears to lack the sensitivity needed to differentiate our high and low amyloid burden groups (relative to BAPL visual read). We would like to access a larger dataset of healthy control FBB data (with co-registered T1 MRI scans) to empirically derive more appropriate SUVr cut-offs for each sub-region that will hopefully better discriminate the high and low amyloid groups and provide a clearer demonstration that the directionality and strength of the MRI signal is similar to that of FBB PET.
Additional Investigators  
Investigator's Name: Lucette Cysique
Proposed Analysis: See entry for Thomas Gates
Investigator's Name: Yann Quide
Proposed Analysis: See entry for Thomas Gates