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dc.rights.licenseopenen_US
dc.contributor.authorKUCHCINSKI, Gregory
dc.contributor.authorPATIN, Lucas
dc.contributor.authorLOPES, Renaud
dc.contributor.authorLEROY, Melanie
dc.contributor.authorDELBEUCK, Xavier
dc.contributor.authorROLLIN-SILLAIRE, Adeline
dc.contributor.authorLEBOUVIER, Thibaud
dc.contributor.authorWANG, Yi
dc.contributor.authorSPINCEMAILLE, Pascal
hal.structure.identifierNeurocentre Magendie : Physiopathologie de la Plasticité Neuronale [U1215 Inserm - UB]
dc.contributor.authorTOURDIAS, Thomas
dc.contributor.authorHACEIN-BEY, Lotfi
dc.contributor.authorDEVOS, David
dc.contributor.authorPASQUIER, Florence
dc.contributor.authorLECLERC, Xavier
dc.contributor.authorPRUVO, Jean-Pierre
dc.contributor.authorVERCLYTTE, Sebastien
dc.date.accessioned2023-03-16T09:19:11Z
dc.date.available2023-03-16T09:19:11Z
dc.date.issued2022-07-26
dc.identifier.issn0938-7994en_US
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/172325
dc.description.abstractEnObjectives: We aimed to define brain iron distribution patterns in subtypes of early-onset Alzheimer’s disease (EOAD) by the use of quantitative susceptibility mapping (QSM). Methods: EOAD patients prospectively underwent MRI on a 3-T scanner and concomitant clinical and neuropsychological evaluation, between 2016 and 2019. An age-matched control group was constituted of cognitively healthy participants at risk of developing AD. Volumetry of the hippocampus and cerebral cortex was performed on 3DT1 images. EOAD subtypes were defined according to the hippocampal to cortical volume ratio (HV:CTV). Limbic-predominant atrophy (LPMRI) is referred to HV:CTV ratios below the 25th percentile, hippocampal-sparing (HpSpMRI) above the 75th percentile, and typical-AD between the 25th and 75th percentile. Brain iron was estimated using QSM. QSM analyses were made voxel-wise and in 7 regions of interest within deep gray nuclei and limbic structures. Iron distribution in EOAD subtypes and controls was compared using an ANOVA. Results: Sixty-eight EOAD patients and 43 controls were evaluated. QSM values were significantly higher in deep gray nuclei (p < 0.001) and limbic structures (p = 0.04) of EOAD patients compared to controls. Among EOAD subtypes, HpSpMRI had the highest QSM values in deep gray nuclei (p < 0.001) whereas the highest QSM values in limbic structures were observed in LPMRI (p = 0.005). QSM in deep gray nuclei had an AUC = 0.92 in discriminating HpSpMRI and controls. Conclusions: In early-onset Alzheimer’s disease patients, we observed significant variations of iron distribution reflecting the pattern of brain atrophy. Iron overload in deep gray nuclei could help to identify patients with atypical presentation of Alzheimer’s disease. Key Points: • In early-onset AD patients, QSM indicated a significant brain iron overload in comparison with age-matched controls. • Iron load in limbic structures was higher in participants with limbic-predominant subtype. • Iron load in deep nuclei was more important in participants with hippocampal-sparing subtype. © 2022, The Author(s), under exclusive licence to European Society of Radiology.
dc.language.isoENen_US
dc.subject.enAlzheimer disease
dc.subject.enAtrophy
dc.subject.enIron
dc.subject.enMagnetic resonance imaging
dc.subject.enQuantitative susceptibility mapping
dc.title.enQuantitative susceptibility mapping demonstrates different patterns of iron overload in subtypes of early-onset Alzheimer’s disease
dc.title.alternativeEur Radiol.en_US
dc.typeArticle de revueen_US
dc.identifier.doi10.1007/s00330-022-09014-9en_US
dc.subject.halSciences du Vivant [q-bio]/Neurosciences [q-bio.NC]en_US
dc.identifier.pubmed35881183en_US
bordeaux.journalEuropean Radiologyen_US
bordeaux.page194-195en_US
bordeaux.volume33en_US
bordeaux.hal.laboratoriesNeurocentre Magendie - U1215en_US
bordeaux.issue1en_US
bordeaux.institutionUniversité de Bordeauxen_US
bordeaux.institutionINSERMen_US
bordeaux.teamRelations glie-neuroneen_US
bordeaux.peerReviewedouien_US
bordeaux.inpressnonen_US
hal.identifierhal-04031727
hal.version1
hal.date.transferred2023-03-16T09:19:15Z
hal.exporttrue
dc.rights.ccPas de Licence CCen_US
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=European%20Radiology&rft.date=2022-07-26&rft.volume=33&rft.issue=1&rft.spage=194-195&rft.epage=194-195&rft.eissn=0938-7994&rft.issn=0938-7994&rft.au=KUCHCINSKI,%20Gregory&PATIN,%20Lucas&LOPES,%20Renaud&LEROY,%20Melanie&DELBEUCK,%20Xavier&rft.genre=article


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