Quantitative brain MRI in patients with alpha-mannosidosis: Study from 3 centers

Introduction: Alpha-mannosidosis is a rare lysosomal storage disease with multisystemic abnormalities and a wide clinical variability. The primary clinical brain MRI findings are described in case report studies. Quantitative MRI outcomes using robust automated methods as a prerequisite for clinical...

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Published inMolecular genetics and metabolism Vol. 126; no. 2; p. S106
Main Authors Nestrasil, Igor, Paulson, Amy, Jireckova, Jitka, Nascene, David, Vaneckova, Manuela, Jurickova, Katarina, Hlavata, Anna, Lund, Troy, Orchard, Paul, Dusek, Petr, Magner, Martin
Format Journal Article
LanguageEnglish
Published Elsevier Inc 01.02.2019
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ISSN1096-7192
1096-7206
DOI10.1016/j.ymgme.2018.12.267

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Summary:Introduction: Alpha-mannosidosis is a rare lysosomal storage disease with multisystemic abnormalities and a wide clinical variability. The primary clinical brain MRI findings are described in case report studies. Quantitative MRI outcomes using robust automated methods as a prerequisite for clinical trials are not available. Methods: High-resolution T1-weighted MRI scans of 6 subjects (age: range 6-27 mean ± SD 14.5±4.9 years of age) with alpha-mannosidosis acquired on clinical MRI scanners were evaluated by automated volumetric analysis and compared to MRIs of 80 healthy controls (age: range 6-25 mean ± SD 14.0±7.7 years of age). Brain volumes were adjusted for intracranial volume and age. Results: Lower volumes of total cerebral grey matter (specifically putamen*, caudate**, and thalamus*) and cerebellum* (both white* and grey* matter) were observed in patients. No change was seen in volumes of cerebral cortex, corpus callosum, total cerebral white matter, and brainstem. (*p<0.001 **p<0.02) Conclusions: In the cohort of 6 alpha-mannosidosis patients brain MRI atrophy of subcortical grey matter structures and cerebellum and a preservation of cerebral white matter structures were quantified by automated volumetric analysis. These findings will be later assessed to determine correlation to functional motor and cognitive scores.
ISSN:1096-7192
1096-7206
DOI:10.1016/j.ymgme.2018.12.267