@article{aab7f7f838ae4219a11a8c591fe88184,
title = "Utility of perfusion PET measures to assess neuronal injury in Alzheimer's disease",
abstract = "Introduction: 18F-fluorodeoxyglucose (FDG) positron emission tomography (PET) is commonly used to estimate neuronal injury in Alzheimer's disease (AD). Here, we evaluate the utility of dynamic PET measures of perfusion using 11C-Pittsburgh compound B (PiB) to estimate neuronal injury in comparison to FDG PET. Methods: FDG, early frames of PiB images, and relative PiB delivery rate constants (PiB-R1) were obtained from 110 participants from the Dominantly Inherited Alzheimer Network. Voxelwise, regional cross-sectional, and longitudinal analyses were done to evaluate the correlation between images and estimate the relationship of the imaging biomarkers with estimated time to disease progression based on family history. Results: Metabolism and perfusion images were spatially correlated. Regional PiB-R1 values and FDG, but not early frames of PiB images, significantly decreased in the mutation carriers with estimated year to onset and with increasing dementia severity. Discussion: Hypometabolism estimated by PiB-R1 may provide a measure of brain perfusion without increasing radiation exposure.",
keywords = "Alzheimer's disease, FDG, Neuronal injury, Perfusion, PiB",
author = "{Dominantly Inherited Alzheimer Network} and Nelly Joseph-Mathurin and Yi Su and Blazey, {Tyler M.} and Mateusz Jasielec and Andrei Vlassenko and Karl Friedrichsen and Gordon, {Brian A.} and Hornbeck, {Russ C.} and Lisa Cash and Ances, {Beau M.} and Thomas Veale and Cash, {David M.} and Brickman, {Adam M.} and Virginia Buckles and Cairns, {Nigel J.} and Carlos Cruchaga and Alison Goate and Jack, {Clifford R.} and Celeste Karch and William Klunk and Koeppe, {Robert A.} and Marcus, {Daniel S.} and Richard Mayeux and Eric McDade and Noble, {James M.} and John Ringman and Saykin, {Andrew J.} and Thompson, {Paul M.} and Chengjie Xiong and Morris, {John C.} and Bateman, {Randall J.} and Benzinger, {Tammie L.S.}",
note = "Funding Information: The authors would like to thank the participants and their families, without whom this work would not be possible, and all the researchers of the Dominantly Inherited Alzheimer Network. The authors would like to thank Christopher Owen, M.A., for his image processing advice and input. The authors would like to thank Karen Schwelle, Cathy Raymond, and Dzunu Pamela from the Washington University's English Language Program who provided assistance in the English editing process. This work was supported by the National Institutes of Health (NIH)/National Institute on Aging (NIA) ( U01AG042791 , UF1AG032438 ). Data management and computations were made possible using the facilities of the Washington University Center for High-Performance Computing, and the Central Neuroimaging Data Archive (CNDA)/Neuroimaging Informatics and Analysis Center (NIAC) (1P30NS098577, R01 EB009352). D.M.C. and T.V. are supported by a grant from the Alzheimer's Society ( AS-PG-15-025 ). Y.S. is supported in part by BrightFocus Foundation grants A2017272S and A2017330S ; Alzheimer's Association Research Grant AARG-17-532945 ; Arizona Alzheimer's Research Consortium ; and NIH /NIA R01AG055444 , R01AG031581 . Publisher Copyright: {\textcopyright} 2018 The Authors",
year = "2018",
month = jan,
day = "1",
doi = "10.1016/j.dadm.2018.08.012",
language = "English",
volume = "10",
pages = "669--677",
journal = "Alzheimer's and Dementia: Diagnosis, Assessment and Disease Monitoring",
issn = "2352-8729",
}