title: Predicting Regional Pattern of Longitudinal β-Amyloid Accumulation by Baseline PET.
abstract: Knowledge about spatial and temporal patterns of β-amyloid (Aβ) accumulation is essential for understanding Alzheimer disease (AD) and for design of antiamyloid drug trials. Here, we tested whether the regional pattern of longitudinal Aβ accumulation can be predicted by baseline amyloid PET.Methods:Baseline and 2-y follow-up18F-florbetapir PET data from 58 patients with incipient and manifest dementia due to AD were analyzed. With the determination of how fast amyloid deposits in a given region relative to the whole-brain gray matter, a pseudotemporal accumulation rate for each region was calculated. The actual accumulation rate of18F-florbetapir was calculated from follow-up data.Results:Pseudotemporal measurements from baseline PET data explained 87% (P< 0.001) of the variance in longitudinal accumulation rate across 62 regions. The method accurately predicted the top 10 fast and slow accumulating regions.Conclusion:Pseudotemporal analysis of baseline PET images is capable of predicting the regional pattern of longitudinal Aβ accumulation in AD at a group level. This approach may be useful in exploring spatial patterns of Aβ accumulation in other amyloid-associated disorders such as Lewy body disease and atypical forms of AD. In addition, the method allows identification of brain regions with a high accumulation rate of Aβ, which are of particular interest for antiamyloid clinical trials.
authors.affiliation: Department of Nuclear Medicine, Technische Universität München, Munich, Germany.
authors.forename: Tengfei
authors.initials: T
authors.lastname: Guo
authors.affiliation: Department of Nuclear Medicine, University of Munich, Munich, Germany.
authors.forename: Matthias
authors.initials: M
authors.lastname: Brendel
authors.affiliation: Department of Psychiatry and Psychotherapy, Technische Universität München, Munich, Germany; and.
authors.forename: Timo
authors.initials: T
authors.lastname: Grimmer
authors.affiliation: Department of Nuclear Medicine, University of Munich, Munich, Germany.
authors.forename: Axel
authors.initials: A
authors.lastname: Rominger
authors.forename: Igor
authors.initials: I
authors.lastname: Yakushev
mesh_terms: D000368:Aged; D000544:Alzheimer Disease / Q000000981:diagnostic imaging / Q000378:metabolism; D016229:Amyloid beta-Peptides / Q000378:metabolism*; D000814:Aniline Compounds; D005026:Ethylene Glycols; D005260:Female; D006801:Humans; D007091:Image Processing, Computer-Assisted; D008137:Longitudinal Studies; D008297:Male; D049268:Positron-Emission Tomography
chemical_list: D016229:Amyloid beta-Peptides; D000814:Aniline Compounds; D005026:Ethylene Glycols; C545186:florbetapir
keywords: Alzheimer’s disease; amyloid imaging; clinical trial; dementia; mild cognitive impairment