Age-related changes in FDG brain uptake are more accurately assessed when applying an adaptive template to the SPM method of voxel-based quantitative analysis.
BACKGROUND
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 R² 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).


CONCLUSIONS
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.
Department of Nuclear Medicine and Nancyclotep Experimental Imaging Platform, CHU Nancy, Allée du Morvan, Vandœuvre, 54000, Nancy, France. axel.vandergucht@gmail.com.
Axel
A
Van Der Gucht
Department of Nuclear Medicine and Nancyclotep Experimental Imaging Platform, CHU Nancy, Allée du Morvan, Vandœuvre, 54000, Nancy, France.|INSERM, UMR 947, 54000, Nancy, France.|Faculty of Medicine, University of Lorraine, 54000, Nancy, France.
Antoine
A
Verger
Department of Nuclear Medicine, AP-HM, Hospital "La Timone", 13000, Marseille, France.|CNRS UMR 7289, Institut de Neurosciences de la Timone, INT, 13000, Marseille, France.
Eric
E
Guedj
INRIA Sophia Antipolis-Méditerranée, 06902, Sophia Antipolis, France.
Grégoire
G
Malandain
CIC-IT, CHU Nancy, 5400, Nancy, France.|INSERM, CIC-IT 1433, 5400, Nancy, France.
Gabriela
G
Hossu
Department of Nuclear Medicine and Nancyclotep Experimental Imaging Platform, CHU Nancy, Allée du Morvan, Vandœuvre, 54000, Nancy, France.
Yalcin
Y
Yagdigul
Department of Nuclear Medicine and Nancyclotep Experimental Imaging Platform, CHU Nancy, Allée du Morvan, Vandœuvre, 54000, Nancy, France.|INSERM, UMR 947, 54000, Nancy, France.|Faculty of Medicine, University of Lorraine, 54000, Nancy, France.
Véronique
V
Roch
Department of Nuclear Medicine and Nancyclotep Experimental Imaging Platform, CHU Nancy, Allée du Morvan, Vandœuvre, 54000, Nancy, France.|INSERM, UMR 947, 54000, Nancy, France.|Faculty of Medicine, University of Lorraine, 54000, Nancy, France.
Sylvain
S
Poussier
Faculty of Medicine, University of Lorraine, 54000, Nancy, France.|Department of Neurology, CHU-Nancy, 54000, Nancy, France.
Louis
L
Maillard
Department of Nuclear Medicine and Nancyclotep Experimental Imaging Platform, CHU Nancy, Allée du Morvan, Vandœuvre, 54000, Nancy, France.|Faculty of Medicine, University of Lorraine, 54000, Nancy, France.|CRAN, UMR 7039, Université de Lorraine-CNRS, 54500, Vandoeuvre, France.
Gilles
G
Karcher
Department of Nuclear Medicine and Nancyclotep Experimental Imaging Platform, CHU Nancy, Allée du Morvan, Vandœuvre, 54000, Nancy, France.|Faculty of Medicine, University of Lorraine, 54000, Nancy, France.|INSERM, U1116, 54000, Nancy, France.
Pierre-Yves
PY
Marie
D000293:Adolescent; D000328:Adult; D000368:Aged; D000375:Aging; D000465:Algorithms; D001692:Biological Transport; D001921:Brain / Q000000981:diagnostic imaging* / Q000378:metabolism*; D005260:Female; D019788:Fluorodeoxyglucose F18 / Q000378:metabolism*; D006801:Humans; D007091:Image Processing, Computer-Assisted; D008297:Male; D008875:Middle Aged; D049268:Positron-Emission Tomography; D055815:Young Adult
D019788:Fluorodeoxyglucose F18
18F-fluorodeoxyglucose; Age; Block-Matching algorithm; Positron emission tomography; Spatial normalization; Statistical parametric mapping