title: Cerebral glucose metabolism on positron emission tomography of children.
abstract: Establishing the normative range of age-dependent fluorodeoxyglucose (FDG) uptake in the developing brain is necessary for understanding regional quantitative analysis of positron emission tomography (PET) brain images in children and also to provide functional information on brain development. We analyzed head sections of FDG PET/computed tomography (CT) images for 115 patients (5 months to 23 years) without central nervous system disease before treatment, as PET studies are not performed on healthy children owing to ethical considerations and the risk of radiation exposure. We investigated the changes in FDG uptake and established age-associated normative ranges of cerebral FDG. Head sections of FDG PET/CT images were registered to a population-based probabilistic atlas of human cortical structures. Gray matter of 56 brain structures was defined on normalized PET images according to the atlas. To avoid individual and experimental confounding factors, the relative standardized uptake value (SUV) over the cerebellum of each structure was calculated. Relative SUVs were analyzed by ANOVA and modeled using generalized estimating equalization analysis with false discovery rate control. Age and structure were significant factors affecting SUVs. Anatomic proximity had little effect on FDG uptake. Linear and quadratic developmental trajectories were observed on absolute and relative SUVs, respectively. An increase from posterior-to-anterior and superior-to-inferior pattern was observed in both absolute SUV increase rate and relative SUV peak age. The SUV of each structure was modeled with respect to age, and these models can serve as baselines for the quantitative analysis of cerebral FDG-PET images of children.
authors.affiliation: Centre for Advanced Imaging, University of Queensland, Brisbane St Lucia, Queensland, Australia.
authors.forename: Zuyao Y
authors.initials: ZY
authors.lastname: Shan
authors.forename: Andrew J
authors.initials: AJ
authors.lastname: Leiker
authors.forename: Arzu
authors.initials: A
authors.lastname: Onar-Thomas
authors.forename: Yimei
authors.initials: Y
authors.lastname: Li
authors.forename: Tianshu
authors.initials: T
authors.lastname: Feng
authors.forename: Wilburn E
authors.initials: WE
authors.lastname: Reddick
authors.forename: David C
authors.initials: DC
authors.lastname: Reutens
authors.forename: Barry L
authors.initials: BL
authors.lastname: Shulkin
mesh_terms: D000293:Adolescent; D017677:Age Distribution; D000704:Analysis of Variance; D001931:Brain Mapping; D002540:Cerebral Cortex / Q000000981:diagnostic imaging* / Q000254:growth & development*; D002648:Child; D002675:Child, Preschool; D005260:Female; D019788:Fluorodeoxyglucose F18 / Q000378:metabolism; D005947:Glucose / Q000378:metabolism*; D006689:Hodgkin Disease / Q000000981:diagnostic imaging; D006801:Humans; D007223:Infant; D008297:Male; D049268:Positron-Emission Tomography; D012189:Retrospective Studies; D014057:Tomography, X-Ray Computed; D055815:Young Adult
chemical_list: D019788:Fluorodeoxyglucose F18; D005947:Glucose
keywords: FDG-PET; SUVs; brain imaging; child development; glucose metabolism
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