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Table of Contents
Vol. 28, No. 3, 2009
Issue release date: October 2009
Section title: Original Research Article
Free Access
Dement Geriatr Cogn Disord 2009;28:259–266

Performance of FDG PET for Detection of Alzheimer’s Disease in Two Independent Multicentre Samples (NEST-DD and ADNI)

Haense C.a, b · Herholz K.b · Jagust W.J.c · Heiss W.D.a
aMax Planck Institute for Neurological Research, Cologne, Germany; bWolfson Molecular Imaging Centre, University of Manchester, Manchester, UK; cSchool of Public Health and Helen Wills Neuroscience Institute, University of California, Berkeley, Calif., USA
email Corresponding Author

Prof. Karl Herholz

University of Manchester, Wolfson Molecular Imaging Centre

27 Palatine Road

Manchester M20 3LJ (UK)

Tel. +44 161 275 0000, Fax +44 161 275 0003, E-Mail karl.herholz@manchester.ac.uk

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Aim: We investigated the performance of FDG PET using an automated procedure for discrimination between Alzheimer’s disease (AD) and controls, and studied the influence of demographic and technical factors. Methods: FDG PET data were obtained from the Alzheimer’s Disease Neuroimaging Initiative (ADNI) [102 controls (76.0 ± 4.9 years) and 89 AD patients (75.7 ± 7.6 years, MMSE 23.5 ± 2.1) and the Network for Standardisation of Dementia Diagnosis (NEST-DD) [36 controls (62.2 ± 5.0 years) and 237 AD patients (70.8 ± 8.3 years, MMSE 20.9 ± 4.4). The procedure created t-maps of abnormal voxels. The sum of t-values in predefined areas that are typically affected by AD (AD t-sum) provided a measure of scan abnormality associated with a preset threshold for discrimination between patients and controls. Results: AD patients had much higher AD t-sum scores compared to controls (p < 0.01), which were significantly related to dementia severity (ADNI: r = –0.62, p < 0.01; NEST-DD: r = –0.59, p < 0.01). Early-onset AD patients had significantly higher AD t-sum scores than late-onset AD patients (p < 0.01). Differences between databases were mainly due to different age distributions. The predefined AD t-sum threshold yielded a sensitivity and specificity of 83 and 78% in ADNI and 78 and 94% in NEST-DD, respectively. Conclusion: The automated FDG PET analysis procedure provided good discrimination power, and was most accurate for early-onset AD.

© 2009 S. Karger AG, Basel

Article / Publication Details

First-Page Preview
Abstract of Original Research Article

Accepted: July 29, 2009
Published online: September 25, 2009
Issue release date: October 2009

Number of Print Pages: 8
Number of Figures: 2
Number of Tables: 2

ISSN: 1420-8008 (Print)
eISSN: 1421-9824 (Online)

For additional information: http://www.karger.com/DEM

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