Brain MRI findings in paediatric genetic disorders associated with white matter abnormalities

To describe the specific brain magnetic resonance imaging (MRI) patterns of the paediatric genetic disorders associated with white matter abnormalities in Northern Finland. In this retrospective population-based longitudinal study, brain MRI scans accumulated from 1990 to 2019 at Oulu University Hos...

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Published in:Developmental medicine and child neurology 2024-07
Main Authors: Oikarainen, Jaakko H, Knuutinen, Oula A, Kangas, Salla M, Rahikkala, Elisa J, Pokka, Tytti M-L, Moilanen, Jukka S, Hinttala, Reetta M, Vieira, Päivi M, Uusimaa, Johanna M, Suo-Palosaari, Maria H
Format: Article
Language:English
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Summary:To describe the specific brain magnetic resonance imaging (MRI) patterns of the paediatric genetic disorders associated with white matter abnormalities in Northern Finland. In this retrospective population-based longitudinal study, brain MRI scans accumulated from 1990 to 2019 at Oulu University Hospital, Finland, were assessed. Inclusion criteria were defined as leukodystrophies or genetic diseases with significant white matter abnormalities that did not meet the criteria for leukodystrophy, at least one brain MRI, and age under 18 years at diagnosis. A total of 83 patients (48 males, 35 females) were found with 52 different diseases. The median age at the time of the brain MRI was 22 months (interquartile range [IQR] = 46 months). In 72 (87%) of the children, brain MRIs revealed abnormal findings, including cerebral white matter abnormalities (n = 49, 59%), brainstem signal abnormalities (n = 28, 34%), thinning of the corpus callosum (n = 30, 36%), delayed myelination (n = 11, 13%), and permanent hypomyelination (n = 9, 11%). Symmetrical and bilateral white matter signal patterns of the brain MRI should raise suspicion of genetic disorders when the clinical symptoms are compatible. This study illustrates brain imaging patterns of childhood-onset genetic disorders in a population in Northern Finland and improves the diagnostic accuracy of rare genetic disorders.
ISSN:0012-1622
1469-8749
1469-8749
DOI:10.1111/dmcn.16036