Discrimination between Alzheimer dementia and controls by automated analysis of multicenter FDG PET (Articolo in rivista)

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  • Discrimination between Alzheimer dementia and controls by automated analysis of multicenter FDG PET (Articolo in rivista) (literal)
Anno
  • 2002-01-01T00:00:00+01:00 (literal)
Alternative label
  • Herholz K. 2, Salmon E. 2, Perani D. 1, Baron J.C. 2, Holthoff V. 2, Frolich L. 2, Schonknecht P. 2, Ito K 2, Mielke R. 2, Kalbe E. 2, Zundorf G. 2, Delbeuck X. 2, Pelati O 1., Anchisi D 1., Fazio F .1, et. all. (2002)
    Discrimination between Alzheimer dementia and controls by automated analysis of multicenter FDG PET
    in NeuroImage (Orlando Fla., Print)
    (literal)
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  • Herholz K. 2, Salmon E. 2, Perani D. 1, Baron J.C. 2, Holthoff V. 2, Frolich L. 2, Schonknecht P. 2, Ito K 2, Mielke R. 2, Kalbe E. 2, Zundorf G. 2, Delbeuck X. 2, Pelati O 1., Anchisi D 1., Fazio F .1, et. all. (literal)
Pagina inizio
  • 302 (literal)
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  • 316 (literal)
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  • IMpact factor: 5.624 (literal)
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  • The study opens the perspective to use this reference data base and the completely user-independent analysis of FDG PET in other diagnostic, longitudinal, and intervention studies of Alzheimer’s disease and related conditions. Since the present study was based on clinical diagnosis as the gold standard, further studies are required to clarify the additional value of FDG PET with this automatic procedure over clinical assessment in predicting clinical decline and the histopathological diagnosis of AD in patients who present to the clinic with early dementia. The procedure is available for further scientific evaluation by submission of FDG PET resting brain images via FTP to the NEST-DD coordinator (see project homepage at www.nestdd). org). (literal)
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  • ISI Web of Science (WOS) (literal)
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  • 1. Vita Salute San Raffaele University, IRCCS San Raffaele, Uni Milano Bicocca, IBFM-CNR, Milan 2. Max Planck, Dpt of Neurology University of Koln, Germania (literal)
Titolo
  • Discrimination between Alzheimer dementia and controls by automated analysis of multicenter FDG PET (literal)
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. (literal)
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