Reference Cluster Normalization Improves Detection of Frontotemporal Lobar Degeneration by Means of FDG-PET.

Détails

Ressource 1Télécharger: BIB_802AF755AC09.P001.pdf (773.66 [Ko])
Etat: Public
Version: de l'auteur⸱e
ID Serval
serval:BIB_802AF755AC09
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Institution
Titre
Reference Cluster Normalization Improves Detection of Frontotemporal Lobar Degeneration by Means of FDG-PET.
Périodique
Plos One
Auteur⸱e⸱s
Dukart J., Perneczky R., Förster S., Barthel H., Diehl-Schmid J., Draganski B., Obrig H., Santarnecchi E., Drzezga A., Fellgiebel A., Frackowiak R., Kurz A., Müller K., Sabri O., Schroeter M.L., Yakushev I.
ISSN
1932-6203 (Electronic)
ISSN-L
1932-6203
Statut éditorial
Publié
Date de publication
2013
Volume
8
Numéro
2
Pages
e55415
Langue
anglais
Notes
Publication types: Journal Article Publication Status: ppublish
Résumé
Positron emission tomography with [18F] fluorodeoxyglucose (FDG-PET) plays a well-established role in assisting early detection of frontotemporal lobar degeneration (FTLD). Here, we examined the impact of intensity normalization to different reference areas on accuracy of FDG-PET to discriminate between patients with mild FTLD and healthy elderly subjects. FDG-PET was conducted at two centers using different acquisition protocols: 41 FTLD patients and 42 controls were studied at center 1, 11 FTLD patients and 13 controls were studied at center 2. All PET images were intensity normalized to the cerebellum, primary sensorimotor cortex (SMC), cerebral global mean (CGM), and a reference cluster with most preserved FDG uptake in the aforementioned patients group of center 1. Metabolic deficits in the patient group at center 1 appeared 1.5, 3.6, and 4.6 times greater in spatial extent, when tracer uptake was normalized to the reference cluster rather than to the cerebellum, SMC, and CGM, respectively. Logistic regression analyses based on normalized values from FTLD-typical regions showed that at center 1, cerebellar, SMC, CGM, and cluster normalizations differentiated patients from controls with accuracies of 86%, 76%, 75% and 90%, respectively. A similar order of effects was found at center 2. Cluster normalization leads to a significant increase of statistical power in detecting early FTLD-associated metabolic deficits. The established FTLD-specific cluster can be used to improve detection of FTLD on a single case basis at independent centers - a decisive step towards early diagnosis and prediction of FTLD syndromes enabling specific therapies in the future.
Pubmed
Web of science
Open Access
Oui
Création de la notice
21/03/2013 9:16
Dernière modification de la notice
20/08/2019 14:40
Données d'usage