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Predicting long‐term clinical stability in amyloid‐positive subjects by FDG‐PET

Imaging biomarkers can be used to screen participants for Alzheimer's disease clinical trials. To test the predictive values in clinical progression of neuropathology change (amyloid‐PET) or brain metabolism as neurodegeneration biomarker ([18F]FDG‐PET), we evaluated data from N = 268 healthy c...

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Autores principales: Iaccarino, Leonardo, Sala, Arianna, Perani, Daniela
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6562030/
https://www.ncbi.nlm.nih.gov/pubmed/31211176
http://dx.doi.org/10.1002/acn3.782
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author Iaccarino, Leonardo
Sala, Arianna
Perani, Daniela
author_facet Iaccarino, Leonardo
Sala, Arianna
Perani, Daniela
author_sort Iaccarino, Leonardo
collection PubMed
description Imaging biomarkers can be used to screen participants for Alzheimer's disease clinical trials. To test the predictive values in clinical progression of neuropathology change (amyloid‐PET) or brain metabolism as neurodegeneration biomarker ([18F]FDG‐PET), we evaluated data from N = 268 healthy controls and N = 519 mild cognitive impairment subjects. Despite being a significant risk factor, amyloid positivity was not associated with clinical progression in the majority (≥60%) of subjects. Notably, a negative [18F]FDG‐PET scan at baseline strongly predicted clinical stability with high negative predictive values (>0.80) for both groups. We suggest [18F]FDG‐PET brain metabolism or other neurodegeneration measures should be coupled to amyloid‐PET to exclude clinically stable individuals from clinical trials.
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spelling pubmed-65620302019-06-17 Predicting long‐term clinical stability in amyloid‐positive subjects by FDG‐PET Iaccarino, Leonardo Sala, Arianna Perani, Daniela Ann Clin Transl Neurol Brief Communications Imaging biomarkers can be used to screen participants for Alzheimer's disease clinical trials. To test the predictive values in clinical progression of neuropathology change (amyloid‐PET) or brain metabolism as neurodegeneration biomarker ([18F]FDG‐PET), we evaluated data from N = 268 healthy controls and N = 519 mild cognitive impairment subjects. Despite being a significant risk factor, amyloid positivity was not associated with clinical progression in the majority (≥60%) of subjects. Notably, a negative [18F]FDG‐PET scan at baseline strongly predicted clinical stability with high negative predictive values (>0.80) for both groups. We suggest [18F]FDG‐PET brain metabolism or other neurodegeneration measures should be coupled to amyloid‐PET to exclude clinically stable individuals from clinical trials. John Wiley and Sons Inc. 2019-05-24 /pmc/articles/PMC6562030/ /pubmed/31211176 http://dx.doi.org/10.1002/acn3.782 Text en © 2019 The Authors. Annals of Clinical and Translational Neurology published by Wiley Periodicals, Inc on behalf of American Neurological Association. This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.
spellingShingle Brief Communications
Iaccarino, Leonardo
Sala, Arianna
Perani, Daniela
Predicting long‐term clinical stability in amyloid‐positive subjects by FDG‐PET
title Predicting long‐term clinical stability in amyloid‐positive subjects by FDG‐PET
title_full Predicting long‐term clinical stability in amyloid‐positive subjects by FDG‐PET
title_fullStr Predicting long‐term clinical stability in amyloid‐positive subjects by FDG‐PET
title_full_unstemmed Predicting long‐term clinical stability in amyloid‐positive subjects by FDG‐PET
title_short Predicting long‐term clinical stability in amyloid‐positive subjects by FDG‐PET
title_sort predicting long‐term clinical stability in amyloid‐positive subjects by fdg‐pet
topic Brief Communications
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6562030/
https://www.ncbi.nlm.nih.gov/pubmed/31211176
http://dx.doi.org/10.1002/acn3.782
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