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 in | Molecular genetics and metabolism Vol. 126; no. 2; p. S106 |
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Main Authors | , , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
Elsevier Inc
01.02.2019
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Online Access | Get full text |
ISSN | 1096-7192 1096-7206 |
DOI | 10.1016/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. |
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ISSN: | 1096-7192 1096-7206 |
DOI: | 10.1016/j.ymgme.2018.12.267 |