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Each brain image was spatially normalized, and the standardized uptake value (SUV) was obtained. The SUV and the SUV relative to different pseudo-references were explored as a function of age.<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Results<\/jats:title>\n                <jats:p>At all evaluated ages, the occipital lobe showed the highest [<jats:sup>18<\/jats:sup>F]FDG uptake (0.27\u2009\u00b1\u20090.04 SUV\/year), while the parietal lobe and brainstem had the lowest uptake (0.17\u2009\u00b1\u20090.02 SUV\/year, for both regions). An increase [<jats:sup>18<\/jats:sup>F]FDG uptake was found for all brain regions until 12 years old, while no significant uptake differences were found between ages 13 (SUV\u2009=\u20095.39) to 17 years old (SUV\u2009=\u20095.52) (<jats:italic>P<\/jats:italic>\u2009&lt;\u20090.0001 for the whole brain). A sex dependence was found in the <jats:italic>SUVmean<\/jats:italic> for the whole brain during adolescence (SUV 5.04\u20135.25 for males, 5.68\u20135.74 for females, <jats:italic>P<\/jats:italic>\u2009=\u20090.0264). Asymmetries in [<jats:sup>18<\/jats:sup>F]FDG uptake were found in the temporal and central regions during infancy.<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Conclusions<\/jats:title>\n                <jats:p>Brain glycolytic metabolism of [<jats:sup>18<\/jats:sup>F]FDG, measured through the <jats:italic>SUVmean<\/jats:italic>, increased with age until early adolescence (&lt;\u200913 years old), showing differences across brain regions. Age, sex, and brain region influence [<jats:sup>18<\/jats:sup>F]FDG uptake, with significant hemispheric asymmetries for temporal and central regions.<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Graphical Abstract<\/jats:title>\n                \n              <\/jats:sec>","DOI":"10.1007\/s00247-023-05794-4","type":"journal-article","created":{"date-parts":[[2023,11,1]],"date-time":"2023-11-01T07:02:22Z","timestamp":1698822142000},"page":"2574-2585","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":12,"title":["Semiquantitative analysis of cerebral [18F]FDG-PET uptake in pediatric patients"],"prefix":"10.1007","volume":"53","author":[{"given":"\u00c1lvaro","family":"Cruz-Cortes","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7089-4797","authenticated-orcid":false,"given":"Arturo","family":"Avenda\u00f1o-Estrada","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sarael","family":"Alcauter","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Juan Carlos","family":"N\u00fa\u00f1ez-Enr\u00edquez","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Belen","family":"Rivera-Bravo","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Miguel \u00c1ngel","family":"Olarte-Casas","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Miguel \u00c1ngel","family":"\u00c1vila-Rodr\u00edguez","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2023,11,1]]},"reference":[{"issue":"2","key":"5794_CR1","doi-asserted-by":"publisher","first-page":"154","DOI":"10.1007\/s12098-014-1657-3","volume":"82","author":"P Krishnan","year":"2015","unstructured":"Krishnan P, Muthusami P, Heyn C, Shroff M (2015) Advances in pediatric neuroimaging. 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