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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...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2018
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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. |
format | Online Article Text |
id | pubmed-6890997 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | SAGE Publications |
record_format | MEDLINE/PubMed |
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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