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  Discrimination between Alzheimer dementia and controls by automated analysis of multicenter FDG PET

Herholz, K., Salmon, E., Perani, D., Baron, J. C., Holthoff, V., Frölich, L., et al. (2002). Discrimination between Alzheimer dementia and controls by automated analysis of multicenter FDG PET. NeuroImage, 17(1), 302-316.

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Herholz, Karl1, Author           
Salmon, E.2, Author
Perani, D.2, Author
Baron, J. C.2, Author
Holthoff, Vjera2, Author
Frölich, L.2, Author
Schönknecht, P.2, Author
Ito, K.2, Author
Mielke, Rüdiger2, Author
Kalbe, Elke3, Author           
Zündorf, Gerhard2, Author
Delbeuck, X.2, Author
Pelati, O.2, Author
Anchisi, D.2, Author
Fazio, F.2, Author
Kerrouche, N.2, Author
Desgranges, B.2, Author
Eustache, F.2, Author
Beuthien-Baumann, B.2, Author
Menzel, C.2, Author
Schröder, J.2, AuthorKato, T.2, AuthorArahata, Y.2, AuthorHenze, M.2, AuthorHeiss, Wolf-Dieter1, Author            more..
1Wolf-Dieter Heiss, Emeriti, Max Planck Institute for Metabolism Research, Managing Director: Jens Brüning, Max Planck Society, ou_2149649              
2Max Planck Inst Neurol Res, Gleueler Str 50, D-50931 Cologne,; Germany; Max Planck Inst Neurol Res, D-50931 Cologne, Germany; Univ Cologne, Neurol Clin, D-50931 Cologne, Germany; Univ Liege, Cyclotron Res Ctr, B-4000 Liege, Belgium; Univ Liege, Serv Neurol, B-4000 Liege, Belgium; Univ Milano Bicocca, Univ Vita Salute HSR, Inst H San Raffaele, CNR,Inst Neurosci & Bioimaging, Milan, Italy; INSERM, U320, Caen, France; Dresden Univ Technol, Dept Psychiat & Psychotherapy, D-8027 Dresden, Germany; Univ Frankfurt, Dept Psychiat & Psychotherapy, D-6000 Frankfurt, Germany; Univ Heidelberg, Sect Geriatr Psychiat, Heidelberg, Germany; Natl Inst Longev Sci, Obu, Japan; Dresden Univ Technol, Dept Nucl Med, D-8027 Dresden, Germany; PET Ctr, Rossendorf, Germany; Univ Frankfurt, Dept Nucl Med, D-6000 Frankfurt, Germany; German Canc Res Ctr, D-6900 Heidelberg, Germany, ou_persistent22              
3Klinisches PET, Neurologische Abteilung, Max-Planck-Institut für neurologische Forschung, Managing Director: D. Yves von Cramon, Max Planck Institute for Metabolism Research, Managing Director: Jens Brüning, Max Planck Society, ou_2149663              


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 Abstract: Copyright 2002 Elsevier Science (USA)
 Abstract: A new diagnostic indicator of FDG PET scan abnormality, based on age-adjusted t statistics and an automated voxel-based procedure, is presented and validated in a large data set comprising 110 normal controls and 395 patients with probable Alzheimer's disease (AD) that were studied in eight participating centers. The effect of differences in spatial resolution of PET scanners was minimized effectively by filtering and masking. In controls FDG uptake declined significantly with age in anterior cingulate and frontolateral perisylvian cortex. In patients with probable AD decline of FDG uptake in posterior cingulate, temporoparietal, and prefrontal association cortex was related to dementia severity. These effects were clearly distinct from age effects in controls, suggesting that the disease process of AD is not related to normal aging. Women with probable AD had significantly more frontal metabolic impairment than men. The new indicator of metabolic abnormality in AD-related regions provided 93% sensitivity and specificity for distinction of mild to moderate probable AD from normals, and 84% sensitivity at 93% specificity for detection of very mild probable AD (defined by Mini Mental Score 24 or better). All regions related to AD severity were already affected in very mild AD, suggesting that all vulnerable areas are affected to a similar degree already at disease onset. Ventromedial frontal cortex was also abnormal. In conclusion, automated analysis of multicenter FDG PET is feasible, provides insights into AD pathophysiology, and can be used potentially as a sensitive biomarker for early AD diagnosis.


Language(s): eng - English
 Dates: 2002-09
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: eDoc: 13606
ISI: 000178102000022
 Degree: -



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Title: NeuroImage
  Alternative Title : Neuroimage
Source Genre: Journal
Publ. Info: -
Pages: - Volume / Issue: 17 (1) Sequence Number: - Start / End Page: 302 - 316 Identifier: ISSN: 1053-8119