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Pathological cut-offs of global and regional brain volume loss in multiple sclerosis
T. Uher, M. Vaneckova, J. Krasensky, L. Sobisek, M. Tyblova, J. Volna, Z. Seidl, N. Bergsland, MG. Dwyer, R. Zivadinov, N. De Stefano, MP. Sormani, EK. Havrdova, D. Horakova,
Jazyk angličtina Země Velká Británie
Typ dokumentu časopisecké články, pozorovací studie, práce podpořená grantem
PubMed
29143562
DOI
10.1177/1352458517742739
Knihovny.cz E-zdroje
- MeSH
- atrofie patologie MeSH
- corpus callosum diagnostické zobrazování patologie MeSH
- dospělí MeSH
- lidé středního věku MeSH
- lidé MeSH
- longitudinální studie MeSH
- magnetická rezonanční tomografie normy MeSH
- mladiství MeSH
- mladý dospělý MeSH
- mozek diagnostické zobrazování patologie MeSH
- progrese nemoci * MeSH
- roztroušená skleróza diagnóza diagnostické zobrazování patologie MeSH
- šedá hmota diagnostické zobrazování patologie MeSH
- senioři MeSH
- senzitivita a specificita MeSH
- thalamus diagnostické zobrazování patologie MeSH
- Check Tag
- dospělí MeSH
- lidé středního věku MeSH
- lidé MeSH
- mladiství MeSH
- mladý dospělý MeSH
- mužské pohlaví MeSH
- senioři MeSH
- ženské pohlaví MeSH
- Publikační typ
- časopisecké články MeSH
- pozorovací studie MeSH
- práce podpořená grantem MeSH
BACKGROUND: Volumetric MRI surrogate markers of disease progression are lacking. OBJECTIVE: To establish cut-off values of brain volume loss able to discriminate between healthy controls and MS patients. METHODS: In total, 386 patients after first demyelinating event suggestive of MS (CIS), 964 relapsing-remitting MS (RRMS) patients, 63 secondary-progressive MS (SPMS) patients and 58 healthy controls were included in this longitudinal study. A total of 11,438 MRI scans performed on the same MRI scanner with the same protocol were analysed. Annualised percentage changes of whole brain, grey matter, thalamus and corpus callosum volumes were estimated. We investigated cut-offs able to discriminate between healthy controls and MS patients. RESULTS: At a predefined specificity of 90%, the annualised percentage change cut-off of corpus callosum volume (-0.57%) was able to distinguish between healthy controls and patients with the highest sensitivity (51% in CIS, 48% in RRMS and 42% in SPMS patients). Lower sensitivities (22%-49%) were found for cut-offs of whole brain, grey matter and thalamic volume loss. Among CIS and RRMS patients, cut-offs were associated with greater accumulation of disability. CONCLUSION: We identified cut-offs of annualised global and regional brain volume loss rates able to discriminate between healthy controls and MS patients.
Department of Health Science University of Genoa Genoa Italy
Department of Medicine Surgery and Neuroscience University of Siena Siena Italy
Department of Statistics and Probability University of Economics Prague Prague Czech Republic
Citace poskytuje Crossref.org
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- $a BACKGROUND: Volumetric MRI surrogate markers of disease progression are lacking. OBJECTIVE: To establish cut-off values of brain volume loss able to discriminate between healthy controls and MS patients. METHODS: In total, 386 patients after first demyelinating event suggestive of MS (CIS), 964 relapsing-remitting MS (RRMS) patients, 63 secondary-progressive MS (SPMS) patients and 58 healthy controls were included in this longitudinal study. A total of 11,438 MRI scans performed on the same MRI scanner with the same protocol were analysed. Annualised percentage changes of whole brain, grey matter, thalamus and corpus callosum volumes were estimated. We investigated cut-offs able to discriminate between healthy controls and MS patients. RESULTS: At a predefined specificity of 90%, the annualised percentage change cut-off of corpus callosum volume (-0.57%) was able to distinguish between healthy controls and patients with the highest sensitivity (51% in CIS, 48% in RRMS and 42% in SPMS patients). Lower sensitivities (22%-49%) were found for cut-offs of whole brain, grey matter and thalamic volume loss. Among CIS and RRMS patients, cut-offs were associated with greater accumulation of disability. CONCLUSION: We identified cut-offs of annualised global and regional brain volume loss rates able to discriminate between healthy controls and MS patients.
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