Volume 6, Issue 3 p. 221-229
Review Article

The Alzheimer's Disease Neuroimaging Initiative positron emission tomography core

William J. Jagust

Corresponding Author

William J. Jagust

Helen Wills Neuroscience Institute, University of California Berkeley, Berkeley, CA, USA

Lawrence Berkeley National Laboratory, Berkeley, CA, USA

Corresponding author. Tel.: 510-643-6537.

E-mail address: [email protected]

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Dan Bandy

Dan Bandy

Banner Alzheimer's Institute and Banner Good Samaritan PET Center, Phoenix, AZ, USA

Translational Genomics Research Institute, University of Arizona, Phoenix, AZ, USA

Arizona Alzheimer's Consortium, Phoenix, AZ, USA

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Kewei Chen

Kewei Chen

Banner Alzheimer's Institute and Banner Good Samaritan PET Center, Phoenix, AZ, USA

Translational Genomics Research Institute, University of Arizona, Phoenix, AZ, USA

Arizona Alzheimer's Consortium, Phoenix, AZ, USA

Department of Mathematics, Arizona State University, Tempe, AZ, USA

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Norman L. Foster

Norman L. Foster

Center for Alzheimer's Care, Imaging and Research and Department of Neurology, University of Utah, Salt Lake City, UT, USA

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Susan M. Landau

Susan M. Landau

Helen Wills Neuroscience Institute, University of California Berkeley, Berkeley, CA, USA

Lawrence Berkeley National Laboratory, Berkeley, CA, USA

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Chester A. Mathis

Chester A. Mathis

Department of Radiology, University of Pittsburgh, Pittsburgh, PA, USA

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Julie C. Price

Julie C. Price

Department of Radiology, University of Pittsburgh, Pittsburgh, PA, USA

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Eric M. Reiman

Eric M. Reiman

Banner Alzheimer's Institute and Banner Good Samaritan PET Center, Phoenix, AZ, USA

Translational Genomics Research Institute, University of Arizona, Phoenix, AZ, USA

Arizona Alzheimer's Consortium, Phoenix, AZ, USA

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Daniel Skovronsky

Daniel Skovronsky

Avid Radiopharmaceuticals, Inc, Philadelphia, PA, USA

Department of Radiology, University of Pennsylvania, Philadelphia, PA, USA

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Robert A. Koeppe

Robert A. Koeppe

Division of Nuclear Medicine, Department of Radiology, University of Michigan, Ann Arbor, MI, USA

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Alzheimer's Disease Neuroimaging Initiative

Alzheimer's Disease Neuroimaging Initiative

Data used in the preparation of this article were obtained in part from the Alzheimer's Disease Neuroimaging Initiative (ADNI) database (www.loni.ucla.edu/ADNI). As such, the investigators within ADNI contributed to the design and implementation of ADNI and/or provided data but did not participate in analysis of writing of this report. ADNI investigators are listed at www.loni.ucla.edu/ADNI/Collaboration/ADNI_Authorship.list.pdf

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First published: 01 May 2010
Citations: 385
GE Healthcare holds a license agreement with the University of Pittsburgh based on the PIB technology described in this manuscript. Dr Mathis is a co-inventor of PIB and, as such, has a financial interest in this license agreement. GE Healthcare had no role in the design or interpretation of results or preparation of this manuscript.

Abstract

Background

This is a progress report of the Alzheimer's Disease Neuroimaging Initiative (ADNI) positron emission tomography (PET) Core.

Methods

The Core has supervised the acquisition, quality control, and analysis of longitudinal [18F]fluorodeoxyglucose PET (FDG-PET) data in approximately half of the ADNI cohort. In an “add on” study, approximately 100 subjects also underwent scanning with [11C] Pittsburgh compound B PET for amyloid imaging. The Core developed quality control procedures and standardized image acquisition by developing an imaging protocol that has been widely adopted in academic and pharmaceutical industry studies. Data processing provides users with scans that have identical orientation and resolution characteristics despite acquisition on multiple scanner models. The Core labs have used many different approaches to characterize differences between subject groups (Alzheimer's disease, mild cognitive impairment, controls), to examine longitudinal change over time in glucose metabolism and amyloid deposition, and to assess the use of FDG-PET as a potential outcome measure in clinical trials.

Results

ADNI data indicate that FDG-PET increases statistical power over traditional cognitive measures, might aid subject selection, and could substantially reduce the sample size in a clinical trial. Pittsburgh compound B PET data showed expected group differences, and identified subjects with significant annual increases in amyloid load across the subject groups. The next activities of the PET core in ADNI will entail developing standardized protocols for amyloid imaging using the [18F]-labeled amyloid imaging agent AV45, which can be delivered to virtually all ADNI sites.

Conclusions

ADNI has demonstrated the feasibility and utility of multicenter PET studies and is helping to clarify the role of biomarkers in the study of aging and dementia.