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The present study aimed to explore the correlation of MRI features with brain metabolism characteristics of\n                      <jats:sup>18<\/jats:sup>\n                      F-fluorodeoxyglucose positron emission tomography (\n                      <jats:sup>18<\/jats:sup>\n                      F-FDG PET) and to describe the metabolic patterns in Anti-N-methyl-D-aspartate receptor (anti-NMDAR) encephalitis at acute and subacute phases. Twenty-four patients with anti-NMDAR encephalitis confirmed by serum and\/or CSF tests at acute and subacute phases, 9 females and 15 males, with an age range of 6\u201380 years, were enrolled in this retrospective study as encephalitis group.\n                      <jats:sup>18<\/jats:sup>\n                      F-FDG PET and MRI findings of all patients were investigated and interpreted with visual analysis. Chi-square test was performed to compare the diagnostic sensitivity between MRI and PET. Independent sample\n                      <jats:italic>t<\/jats:italic>\n                      -test was used to compare the standardized uptake value ratio (SUVR) of each ROI between the encephalitis group and control group, which consisted of 24 healthy volunteers of the same age and gender.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      There was no statistical difference in the diagnostic sensitivity between FDG PET (23\/24, 95.83%) and MRI (18\/24, 75.00%) in anti-NMDAR encephalitis patients (\n                      <jats:italic>P<\/jats:italic>\n                      \u2009&gt;\u20090.05). Three categories of abnormalities shown on T2 FLAIR, including shallow of sulci and swelling of brain tissue, increased signal in the sulci, increased signal on brain gray matter or adjacent white matter presented hypermetabolism on PET, excepting increased signal in brain linear structure with hypometabolism of the basal ganglia on PET. We identified 19 brain regions with hypermetabolism and 16 brain regions with hypometabolism that exhibited statistically significant changes in SUVRs between anti-NMDAR encephalitis group and control group (FDR\n                      <jats:italic>P<\/jats:italic>\n                      \u2009&lt;\u20090.05).\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>\n                      Anteroposterior glucose metabolism gradient (frontal-temporal\/parietal-occipital) is proved to be a typical pattern of anti-NMDAR encephalitis at the acute and subacute phases in both visual and statistical testing. Interestingly, the pattern is also commonly found in the anterior and posterior portions of the parietal lobe and cingular cortex, which may be a potential indicator for the diagnosis of this disorder. In addition, MRI is an important and reliable neuroimaging modality to assist in the correct evaluation of activity changes on individual\n                      <jats:sup>18<\/jats:sup>\n                      F-FDG PET.\n                    <\/jats:p>\n                  <\/jats:sec>","DOI":"10.1186\/s12868-023-00823-2","type":"journal-article","created":{"date-parts":[[2023,9,25]],"date-time":"2023-09-25T08:01:57Z","timestamp":1695628917000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":12,"title":["Typical metabolic pattern of 18F-FDG PET in Anti-NMDAR encephalitis in the acute and subacute phases and its correlation with T2 FLAIR-MRI features"],"prefix":"10.1186","volume":"24","author":[{"given":"Leilei","family":"Yuan","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Guangjuan","family":"Mao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yudi","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yang","family":"Xu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Qian","family":"Chen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Baoci","family":"Shan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tao","family":"Cui","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lin","family":"Ai","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2023,9,25]]},"reference":[{"issue":"11","key":"823_CR1","doi-asserted-by":"publisher","first-page":"1045","DOI":"10.1016\/S1474-4422(19)30244-3","volume":"18","author":"J Dalmau","year":"2019","unstructured":"Dalmau J, Armangue T, Planaguma J, Radosevic M, Mannara F, Leypoldt F, Geis C, Lancaster E, Titulaer MJ, Rosenfeld MR, et al. 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