Impact of Pretreatment Ischemic Location on Functional Outcome after Thrombectomy

Pretreatment ischemic location may be an important determinant for functional outcome prediction in acute ischemic stroke. In total, 143 anterior circulation ischemic stroke patients in the THRACE study were included. Ischemic lesions were semi-automatically segmented on pretreatment diffusion-weigh...

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Autores principales: Yu Xie, Julien Oster, Emilien Micard, Bailiang Chen, Ioannis K. Douros, Liang Liao, François Zhu, Marc Soudant, Jacques Felblinger, Francis Guillemin, Gabriela Hossu, Serge Bracard, on behalf of the THRACE Investigators
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Publicado: MDPI AG 2021
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spelling oai:doaj.org-article:c2e8346f2e2847c49376eb93c53f4bea2021-11-25T17:21:01ZImpact of Pretreatment Ischemic Location on Functional Outcome after Thrombectomy10.3390/diagnostics111120382075-4418https://doaj.org/article/c2e8346f2e2847c49376eb93c53f4bea2021-11-01T00:00:00Zhttps://www.mdpi.com/2075-4418/11/11/2038https://doaj.org/toc/2075-4418Pretreatment ischemic location may be an important determinant for functional outcome prediction in acute ischemic stroke. In total, 143 anterior circulation ischemic stroke patients in the THRACE study were included. Ischemic lesions were semi-automatically segmented on pretreatment diffusion-weighted imaging and registered on brain atlases. The percentage of ischemic tissue in each atlas-segmented region was calculated. Statistical models with logistic regression and support vector machine were built to analyze the predictors of functional outcome. The investigated parameters included: age, baseline National Institutes of Health Stroke Scale score, and lesional volume (three-parameter model), together with the ischemic percentage in each atlas-segmented region (four-parameter model). The support vector machine with radial basis functions outperformed logistic regression in prediction accuracy. The support vector machine three-parameter model demonstrated an area under the curve of 0.77, while the four-parameter model achieved a higher area under the curve (0.82). Regions with marked impacts on outcome prediction were the uncinate fasciculus, postcentral gyrus, putamen, middle occipital gyrus, supramarginal gyrus, and posterior corona radiata in the left hemisphere; and the uncinate fasciculus, paracentral lobule, temporal pole, hippocampus, inferior occipital gyrus, middle temporal gyrus, pallidum, and anterior limb of the internal capsule in the right hemisphere. In conclusion, pretreatment ischemic location provided significant prognostic information for functional outcome in ischemic stroke.Yu XieJulien OsterEmilien MicardBailiang ChenIoannis K. DourosLiang LiaoFrançois ZhuMarc SoudantJacques FelblingerFrancis GuilleminGabriela HossuSerge Bracardon behalf of the THRACE InvestigatorsMDPI AGarticlestrokeischemiaoutcomethrombectomyMedicine (General)R5-920ENDiagnostics, Vol 11, Iss 2038, p 2038 (2021)
institution DOAJ
collection DOAJ
language EN
topic stroke
ischemia
outcome
thrombectomy
Medicine (General)
R5-920
spellingShingle stroke
ischemia
outcome
thrombectomy
Medicine (General)
R5-920
Yu Xie
Julien Oster
Emilien Micard
Bailiang Chen
Ioannis K. Douros
Liang Liao
François Zhu
Marc Soudant
Jacques Felblinger
Francis Guillemin
Gabriela Hossu
Serge Bracard
on behalf of the THRACE Investigators
Impact of Pretreatment Ischemic Location on Functional Outcome after Thrombectomy
description Pretreatment ischemic location may be an important determinant for functional outcome prediction in acute ischemic stroke. In total, 143 anterior circulation ischemic stroke patients in the THRACE study were included. Ischemic lesions were semi-automatically segmented on pretreatment diffusion-weighted imaging and registered on brain atlases. The percentage of ischemic tissue in each atlas-segmented region was calculated. Statistical models with logistic regression and support vector machine were built to analyze the predictors of functional outcome. The investigated parameters included: age, baseline National Institutes of Health Stroke Scale score, and lesional volume (three-parameter model), together with the ischemic percentage in each atlas-segmented region (four-parameter model). The support vector machine with radial basis functions outperformed logistic regression in prediction accuracy. The support vector machine three-parameter model demonstrated an area under the curve of 0.77, while the four-parameter model achieved a higher area under the curve (0.82). Regions with marked impacts on outcome prediction were the uncinate fasciculus, postcentral gyrus, putamen, middle occipital gyrus, supramarginal gyrus, and posterior corona radiata in the left hemisphere; and the uncinate fasciculus, paracentral lobule, temporal pole, hippocampus, inferior occipital gyrus, middle temporal gyrus, pallidum, and anterior limb of the internal capsule in the right hemisphere. In conclusion, pretreatment ischemic location provided significant prognostic information for functional outcome in ischemic stroke.
format article
author Yu Xie
Julien Oster
Emilien Micard
Bailiang Chen
Ioannis K. Douros
Liang Liao
François Zhu
Marc Soudant
Jacques Felblinger
Francis Guillemin
Gabriela Hossu
Serge Bracard
on behalf of the THRACE Investigators
author_facet Yu Xie
Julien Oster
Emilien Micard
Bailiang Chen
Ioannis K. Douros
Liang Liao
François Zhu
Marc Soudant
Jacques Felblinger
Francis Guillemin
Gabriela Hossu
Serge Bracard
on behalf of the THRACE Investigators
author_sort Yu Xie
title Impact of Pretreatment Ischemic Location on Functional Outcome after Thrombectomy
title_short Impact of Pretreatment Ischemic Location on Functional Outcome after Thrombectomy
title_full Impact of Pretreatment Ischemic Location on Functional Outcome after Thrombectomy
title_fullStr Impact of Pretreatment Ischemic Location on Functional Outcome after Thrombectomy
title_full_unstemmed Impact of Pretreatment Ischemic Location on Functional Outcome after Thrombectomy
title_sort impact of pretreatment ischemic location on functional outcome after thrombectomy
publisher MDPI AG
publishDate 2021
url https://doaj.org/article/c2e8346f2e2847c49376eb93c53f4bea
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