Cargando…
Infarction Distribution Pattern in Acute Stroke May Predict the Extent of Leptomeningeal Collaterals
OBJECTIVE: The aim of this study was to evaluate whether the distribution pattern of early ischemic changes in the initial MRI allows a practical method for estimating leptomeningeal collateralization in acute ischemic stroke (AIS). METHODS: Seventy-four patients with AIS underwent MRI followed by c...
Autores principales: | , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2015
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4556517/ https://www.ncbi.nlm.nih.gov/pubmed/26327519 http://dx.doi.org/10.1371/journal.pone.0137292 |
_version_ | 1782388357388566528 |
---|---|
author | Verma, Rajeev Kumar Gralla, Jan Klinger-Gratz, Pascal Pedro Schankath, Adrian Jung, Simon Mordasini, Pasquale Zubler, Christoph Arnold, Marcel Buehlmann, Monika Lang, Matthias F. El-Koussy, Marwan Hsieh, Kety |
author_facet | Verma, Rajeev Kumar Gralla, Jan Klinger-Gratz, Pascal Pedro Schankath, Adrian Jung, Simon Mordasini, Pasquale Zubler, Christoph Arnold, Marcel Buehlmann, Monika Lang, Matthias F. El-Koussy, Marwan Hsieh, Kety |
author_sort | Verma, Rajeev Kumar |
collection | PubMed |
description | OBJECTIVE: The aim of this study was to evaluate whether the distribution pattern of early ischemic changes in the initial MRI allows a practical method for estimating leptomeningeal collateralization in acute ischemic stroke (AIS). METHODS: Seventy-four patients with AIS underwent MRI followed by conventional angiogram and mechanical thrombectomy. Diffusion restriction in Diffusion weighted imaging (DWI) and correlated T2-hyperintensity of the infarct were retrospectively analyzed and subdivided in accordance with Alberta Stroke Program Early CT score (ASPECTS). Patients were angiographically graded in collateralization groups according to the method of Higashida, and dichotomized in 2 groups: 29 subjects with collateralization grade 3 or 4 (well-collateralized group) and 45 subjects with grade 1 or 2 (poorly-collateralized group). Individual ASPECTS areas were compared among the groups. RESULTS: Means for overall DWI-ASPECTS were 6.34 vs. 4.51 (well vs. poorly collateralized groups respectively), and for T2-ASPECTS 9.34 vs 8.96. A significant difference between groups was found for DWI-ASPECTS (p<0.001), but not for T2-ASPECTS (p = 0.088). Regarding the individual areas, only insula, M1-M4 and M6 showed significantly fewer infarctions in the well-collateralized group (p-values <0.001 to 0.015). 89% of patients in the well-collateralized group showed 0–2 infarctions in these six areas (44.8% with 0 infarctions), while 59.9% patients of the poor-collateralized group showed 3–6 infarctions. CONCLUSION: Patients with poor leptomeningeal collateralization show more infarcts on the initial MRI, particularly in the ASPECTS areas M1 to M4, M6 and insula. Therefore DWI abnormalities in these areas may be a surrogate marker for poor leptomeningeal collaterals and may be useful for estimation of the collateral status in routine clinical evaluation. |
format | Online Article Text |
id | pubmed-4556517 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-45565172015-09-10 Infarction Distribution Pattern in Acute Stroke May Predict the Extent of Leptomeningeal Collaterals Verma, Rajeev Kumar Gralla, Jan Klinger-Gratz, Pascal Pedro Schankath, Adrian Jung, Simon Mordasini, Pasquale Zubler, Christoph Arnold, Marcel Buehlmann, Monika Lang, Matthias F. El-Koussy, Marwan Hsieh, Kety PLoS One Research Article OBJECTIVE: The aim of this study was to evaluate whether the distribution pattern of early ischemic changes in the initial MRI allows a practical method for estimating leptomeningeal collateralization in acute ischemic stroke (AIS). METHODS: Seventy-four patients with AIS underwent MRI followed by conventional angiogram and mechanical thrombectomy. Diffusion restriction in Diffusion weighted imaging (DWI) and correlated T2-hyperintensity of the infarct were retrospectively analyzed and subdivided in accordance with Alberta Stroke Program Early CT score (ASPECTS). Patients were angiographically graded in collateralization groups according to the method of Higashida, and dichotomized in 2 groups: 29 subjects with collateralization grade 3 or 4 (well-collateralized group) and 45 subjects with grade 1 or 2 (poorly-collateralized group). Individual ASPECTS areas were compared among the groups. RESULTS: Means for overall DWI-ASPECTS were 6.34 vs. 4.51 (well vs. poorly collateralized groups respectively), and for T2-ASPECTS 9.34 vs 8.96. A significant difference between groups was found for DWI-ASPECTS (p<0.001), but not for T2-ASPECTS (p = 0.088). Regarding the individual areas, only insula, M1-M4 and M6 showed significantly fewer infarctions in the well-collateralized group (p-values <0.001 to 0.015). 89% of patients in the well-collateralized group showed 0–2 infarctions in these six areas (44.8% with 0 infarctions), while 59.9% patients of the poor-collateralized group showed 3–6 infarctions. CONCLUSION: Patients with poor leptomeningeal collateralization show more infarcts on the initial MRI, particularly in the ASPECTS areas M1 to M4, M6 and insula. Therefore DWI abnormalities in these areas may be a surrogate marker for poor leptomeningeal collaterals and may be useful for estimation of the collateral status in routine clinical evaluation. Public Library of Science 2015-09-01 /pmc/articles/PMC4556517/ /pubmed/26327519 http://dx.doi.org/10.1371/journal.pone.0137292 Text en © 2015 Verma et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Verma, Rajeev Kumar Gralla, Jan Klinger-Gratz, Pascal Pedro Schankath, Adrian Jung, Simon Mordasini, Pasquale Zubler, Christoph Arnold, Marcel Buehlmann, Monika Lang, Matthias F. El-Koussy, Marwan Hsieh, Kety Infarction Distribution Pattern in Acute Stroke May Predict the Extent of Leptomeningeal Collaterals |
title | Infarction Distribution Pattern in Acute Stroke May Predict the Extent of Leptomeningeal Collaterals |
title_full | Infarction Distribution Pattern in Acute Stroke May Predict the Extent of Leptomeningeal Collaterals |
title_fullStr | Infarction Distribution Pattern in Acute Stroke May Predict the Extent of Leptomeningeal Collaterals |
title_full_unstemmed | Infarction Distribution Pattern in Acute Stroke May Predict the Extent of Leptomeningeal Collaterals |
title_short | Infarction Distribution Pattern in Acute Stroke May Predict the Extent of Leptomeningeal Collaterals |
title_sort | infarction distribution pattern in acute stroke may predict the extent of leptomeningeal collaterals |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4556517/ https://www.ncbi.nlm.nih.gov/pubmed/26327519 http://dx.doi.org/10.1371/journal.pone.0137292 |
work_keys_str_mv | AT vermarajeevkumar infarctiondistributionpatterninacutestrokemaypredicttheextentofleptomeningealcollaterals AT grallajan infarctiondistributionpatterninacutestrokemaypredicttheextentofleptomeningealcollaterals AT klingergratzpascalpedro infarctiondistributionpatterninacutestrokemaypredicttheextentofleptomeningealcollaterals AT schankathadrian infarctiondistributionpatterninacutestrokemaypredicttheextentofleptomeningealcollaterals AT jungsimon infarctiondistributionpatterninacutestrokemaypredicttheextentofleptomeningealcollaterals AT mordasinipasquale infarctiondistributionpatterninacutestrokemaypredicttheextentofleptomeningealcollaterals AT zublerchristoph infarctiondistributionpatterninacutestrokemaypredicttheextentofleptomeningealcollaterals AT arnoldmarcel infarctiondistributionpatterninacutestrokemaypredicttheextentofleptomeningealcollaterals AT buehlmannmonika infarctiondistributionpatterninacutestrokemaypredicttheextentofleptomeningealcollaterals AT langmatthiasf infarctiondistributionpatterninacutestrokemaypredicttheextentofleptomeningealcollaterals AT elkoussymarwan infarctiondistributionpatterninacutestrokemaypredicttheextentofleptomeningealcollaterals AT hsiehkety infarctiondistributionpatterninacutestrokemaypredicttheextentofleptomeningealcollaterals |