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Using CT Data to Improve the Quantitative Analysis of 18F-FBB PET Neuroimages.
Segovia, Fermín; Sánchez-Vañó, Raquel; Górriz, Juan M; Ramírez, Javier; Sopena-Novales, Pablo; Testart Dardel, Nathalie; Rodríguez-Fernández, Antonio; Gómez-Río, Manuel.
Afiliación
  • Segovia F; Department of Signal Theory, Networking and Communications, University of Granada, Granada, Spain.
  • Sánchez-Vañó R; Department of Nuclear Medicine, "9 de Octubre" Hospital, Valencia, Spain.
  • Górriz JM; Clinical Medicine and Public Health Doctoral Program of the University of Granada, Granada, Spain.
  • Ramírez J; Department of Signal Theory, Networking and Communications, University of Granada, Granada, Spain.
  • Sopena-Novales P; Biosanitary Investigation Institute of Granada, Granada, Spain.
  • Testart Dardel N; Department of Signal Theory, Networking and Communications, University of Granada, Granada, Spain.
  • Rodríguez-Fernández A; Biosanitary Investigation Institute of Granada, Granada, Spain.
  • Gómez-Río M; Department of Nuclear Medicine, "9 de Octubre" Hospital, Valencia, Spain.
Front Aging Neurosci ; 10: 158, 2018.
Article en En | MEDLINE | ID: mdl-29930505
18F-FBB PET is a neuroimaging modality that is been increasingly used to assess brain amyloid deposits in potential patients with Alzheimer's disease (AD). In this work, we analyze the usefulness of these data to distinguish between AD and non-AD patients. A dataset with 18F-FBB PET brain images from 94 subjects diagnosed with AD and other disorders was evaluated by means of multiple analyses based on t-test, ANOVA, Fisher Discriminant Analysis and Support Vector Machine (SVM) classification. In addition, we propose to calculate amyloid standardized uptake values (SUVs) using only gray-matter voxels, which can be estimated using Computed Tomography (CT) images. This approach allows assessing potential brain amyloid deposits along with the gray matter loss and takes advantage of the structural information provided by most of the scanners used for PET examination, which allow simultaneous PET and CT data acquisition. The results obtained in this work suggest that SUVs calculated according to the proposed method allow AD and non-AD subjects to be more accurately differentiated than using SUVs calculated with standard approaches.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Front Aging Neurosci Año: 2018 Tipo del documento: Article País de afiliación: España Pais de publicación: Suiza
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Front Aging Neurosci Año: 2018 Tipo del documento: Article País de afiliación: España Pais de publicación: Suiza