Diagnostic and prognostic value of amyloid PET textural and shape features: comparison with classical semi-quantitative rating in 760 patients from the ADNI-2 database.


Journal

Brain imaging and behavior
ISSN: 1931-7565
Titre abrégé: Brain Imaging Behav
Pays: United States
ID NLM: 101300405

Informations de publication

Date de publication:
Feb 2019
Historique:
pubmed: 11 2 2018
medline: 14 6 2019
entrez: 11 2 2018
Statut: ppublish

Résumé

We evaluated the performance of amyloid PET textural and shape features in discriminating normal and Alzheimer's disease (AD) subjects, and in predicting conversion to AD in subjects with mild cognitive impairment (MCI) or significant memory concern (SMC). Subjects from the Alzheimer's Disease Neuroimaging Initiative with available baseline

Identifiants

pubmed: 29427064
doi: 10.1007/s11682-018-9833-0
pii: 10.1007/s11682-018-9833-0
doi:

Substances chimiques

Aniline Compounds 0
Ethylene Glycols 0
Radiopharmaceuticals 0
florbetapir 6867Q6IKOD

Types de publication

Journal Article Multicenter Study

Langues

eng

Sous-ensembles de citation

IM

Pagination

111-125

Auteurs

Fayçal Ben Bouallègue (F)

Nuclear Medicine Department, Montpellier University Hospital, Montpellier, France. faycal.ben-bouallegue@umontpellier.fr.
Nuclear Medicine Department, Purpan University Hospital, Toulouse, France. faycal.ben-bouallegue@umontpellier.fr.

Fabien Vauchot (F)

Nuclear Medicine Department, Montpellier University Hospital, Montpellier, France.

Denis Mariano-Goulart (D)

Nuclear Medicine Department, Montpellier University Hospital, Montpellier, France.
PhyMedExp, INSERM - CNRS, Montpellier University, Montpellier, France.

Pierre Payoux (P)

Nuclear Medicine Department, Purpan University Hospital, Toulouse, France.
ToNIC, Toulouse NeuroImaging Center, Université de Toulouse, Inserm, UPS, Toulouse, France.

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Classifications MeSH