Fiche publication
Date publication
septembre 2015
Auteurs
Membres identifiés du Cancéropôle Est :
Pr KARCHER Gilles
Tous les auteurs :
Van Der Gucht A, Verger A, Guedj E, Malandain G, Hossu G, Yagdigul Y, Roch V, Poussier S, Maillard L, Karcher G, Marie PY
Lien Pubmed
Résumé
INTRODUCTION: The impact of age is crucial and must be taken into account when applying a voxel-based quantitative analysis on brain images from [18F]-fluorodeoxyglucose Positron Emission Tomography (FDG-PET). This study aimed to determine whether age-related changes in brain FDG-PET images are more accurately assessed when the conventional statistical parametric mapping (SPM) normalization method is used with an adaptive template, obtained from analysed PET images using a Block-Matching (BM) algorithm to fit with the characteristics of these images. METHODS: Age-related changes in FDG-PET images were computed with linear models in 84 neurologically healthy subjects (35 women, 19 to 82-year-old), and compared between results provided by the SPM normalization algorithm applied on its dedicated conventional template or on the adaptive BM template. A threshold P value of 0.05 was used together with a family-wise error correction. RESULTS: The age-related changes in FDG-PET images were much more apparent when computed with the adaptive template than with the conventional template as evidenced by: (1) stronger correlation coefficients with age for the overall frontal and temporal uptake values (respective R 2 values of 0.20 and 0.07) and (2) larger extents of involved areas (13 and 5 % of whole brain template volume, respectively), leading to reveal several age-dependent areas (especially in dorsolateral prefrontal, inferior temporal/fusiform and primary somatosensory cortices). CONCLUSION: Age-related changes in brain FDG uptake may be more accurately determined when applying the SPM method of voxel-based quantitative analysis on a template that best fits the characteristics of the analysed TEP images.
Référence
Ann Nucl Med. 2015 Sep 1.
