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The association between lacunes and white matter hyperintensity features on MRI: The SMART-MR study

Lacunes and white matter hyperintensities (WMHs) are features of cerebral small vessel disease (CSVD) that are associated with poor functional outcomes. However, how the two are related remains unclear. In this study, we examined the association between lacunes and several WMH features in patients w...

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Autores principales: Ghaznawi, Rashid, Geerlings, Mirjam I, Jaarsma-Coes, Myriam G, Zwartbol, Maarten HT, Kuijf, Hugo J, van der Graaf, Yolanda, Witkamp, Theo D, Hendrikse, Jeroen, de Bresser, Jeroen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6890997/
https://www.ncbi.nlm.nih.gov/pubmed/30204039
http://dx.doi.org/10.1177/0271678X18800463
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author Ghaznawi, Rashid
Geerlings, Mirjam I
Jaarsma-Coes, Myriam G
Zwartbol, Maarten HT
Kuijf, Hugo J
van der Graaf, Yolanda
Witkamp, Theo D
Hendrikse, Jeroen
de Bresser, Jeroen
author_facet Ghaznawi, Rashid
Geerlings, Mirjam I
Jaarsma-Coes, Myriam G
Zwartbol, Maarten HT
Kuijf, Hugo J
van der Graaf, Yolanda
Witkamp, Theo D
Hendrikse, Jeroen
de Bresser, Jeroen
author_sort Ghaznawi, Rashid
collection PubMed
description Lacunes and white matter hyperintensities (WMHs) are features of cerebral small vessel disease (CSVD) that are associated with poor functional outcomes. However, how the two are related remains unclear. In this study, we examined the association between lacunes and several WMH features in patients with a history of vascular disease. A total of 999 patients (mean age 59 ± 10 years) with a 1.5 T brain magnetic resonance imaging (MRI) scan were included from the SMART-MR study. Lacunes were scored visually and WMH features (volume, subtype and shape) were automatically determined. Analyses consisted of linear and Poisson regression adjusted for age, sex, and total intracranial volume (ICV). Patients with lacunes (n = 188; 19%) had greater total (B = 1.03, 95% CI: 0.86 to 1.21), periventricular/confluent (B = 1.08, 95% CI: 0.89 to 1.27), and deep (B = 0.71, 95% CI: 0.44 to 0.97) natural log-transformed WMH volumes than patients without lacunes. Patients with lacunes had an increased risk of confluent type WMHs (RR = 2.41, 95% CI: 1.98 to 2.92) and deep WMHs (RR = 1.41, 95% CI: 1.22 to 1.62) and had a more irregular shape of confluent WMHs than patients without lacunes, independent of total WMH volume. In conclusion, we found that lacunes on MRI were associated with WMH features that correspond to more severe small vessel changes, mortality, and poor functional outcomes.
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spelling pubmed-68909972019-12-12 The association between lacunes and white matter hyperintensity features on MRI: The SMART-MR study Ghaznawi, Rashid Geerlings, Mirjam I Jaarsma-Coes, Myriam G Zwartbol, Maarten HT Kuijf, Hugo J van der Graaf, Yolanda Witkamp, Theo D Hendrikse, Jeroen de Bresser, Jeroen J Cereb Blood Flow Metab Original Articles Lacunes and white matter hyperintensities (WMHs) are features of cerebral small vessel disease (CSVD) that are associated with poor functional outcomes. However, how the two are related remains unclear. In this study, we examined the association between lacunes and several WMH features in patients with a history of vascular disease. A total of 999 patients (mean age 59 ± 10 years) with a 1.5 T brain magnetic resonance imaging (MRI) scan were included from the SMART-MR study. Lacunes were scored visually and WMH features (volume, subtype and shape) were automatically determined. Analyses consisted of linear and Poisson regression adjusted for age, sex, and total intracranial volume (ICV). Patients with lacunes (n = 188; 19%) had greater total (B = 1.03, 95% CI: 0.86 to 1.21), periventricular/confluent (B = 1.08, 95% CI: 0.89 to 1.27), and deep (B = 0.71, 95% CI: 0.44 to 0.97) natural log-transformed WMH volumes than patients without lacunes. Patients with lacunes had an increased risk of confluent type WMHs (RR = 2.41, 95% CI: 1.98 to 2.92) and deep WMHs (RR = 1.41, 95% CI: 1.22 to 1.62) and had a more irregular shape of confluent WMHs than patients without lacunes, independent of total WMH volume. In conclusion, we found that lacunes on MRI were associated with WMH features that correspond to more severe small vessel changes, mortality, and poor functional outcomes. SAGE Publications 2018-09-11 2019-12 /pmc/articles/PMC6890997/ /pubmed/30204039 http://dx.doi.org/10.1177/0271678X18800463 Text en © The Author(s) 2018 http://creativecommons.org/licenses/by-nc/4.0/ This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (http://www.creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).
spellingShingle Original Articles
Ghaznawi, Rashid
Geerlings, Mirjam I
Jaarsma-Coes, Myriam G
Zwartbol, Maarten HT
Kuijf, Hugo J
van der Graaf, Yolanda
Witkamp, Theo D
Hendrikse, Jeroen
de Bresser, Jeroen
The association between lacunes and white matter hyperintensity features on MRI: The SMART-MR study
title The association between lacunes and white matter hyperintensity features on MRI: The SMART-MR study
title_full The association between lacunes and white matter hyperintensity features on MRI: The SMART-MR study
title_fullStr The association between lacunes and white matter hyperintensity features on MRI: The SMART-MR study
title_full_unstemmed The association between lacunes and white matter hyperintensity features on MRI: The SMART-MR study
title_short The association between lacunes and white matter hyperintensity features on MRI: The SMART-MR study
title_sort association between lacunes and white matter hyperintensity features on mri: the smart-mr study
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6890997/
https://www.ncbi.nlm.nih.gov/pubmed/30204039
http://dx.doi.org/10.1177/0271678X18800463
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