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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: Xie, Yu, Oster, Julien, Micard, Emilien, Chen, Bailiang, Douros, Ioannis K., Liao, Liang, Zhu, François, Soudant, Marc, Felblinger, Jacques, Guillemin, Francis, Hossu, Gabriela, Bracard, Serge
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8625281/
https://www.ncbi.nlm.nih.gov/pubmed/34829385
http://dx.doi.org/10.3390/diagnostics11112038
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author Xie, Yu
Oster, Julien
Micard, Emilien
Chen, Bailiang
Douros, Ioannis K.
Liao, Liang
Zhu, François
Soudant, Marc
Felblinger, Jacques
Guillemin, Francis
Hossu, Gabriela
Bracard, Serge
author_facet Xie, Yu
Oster, Julien
Micard, Emilien
Chen, Bailiang
Douros, Ioannis K.
Liao, Liang
Zhu, François
Soudant, Marc
Felblinger, Jacques
Guillemin, Francis
Hossu, Gabriela
Bracard, Serge
author_sort Xie, Yu
collection PubMed
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.
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spelling pubmed-86252812021-11-27 Impact of Pretreatment Ischemic Location on Functional Outcome after Thrombectomy Xie, Yu Oster, Julien Micard, Emilien Chen, Bailiang Douros, Ioannis K. Liao, Liang Zhu, François Soudant, Marc Felblinger, Jacques Guillemin, Francis Hossu, Gabriela Bracard, Serge Diagnostics (Basel) Article 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. MDPI 2021-11-04 /pmc/articles/PMC8625281/ /pubmed/34829385 http://dx.doi.org/10.3390/diagnostics11112038 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Xie, Yu
Oster, Julien
Micard, Emilien
Chen, Bailiang
Douros, Ioannis K.
Liao, Liang
Zhu, François
Soudant, Marc
Felblinger, Jacques
Guillemin, Francis
Hossu, Gabriela
Bracard, Serge
Impact of Pretreatment Ischemic Location on Functional Outcome after Thrombectomy
title 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_short Impact of Pretreatment Ischemic Location on Functional Outcome after Thrombectomy
title_sort impact of pretreatment ischemic location on functional outcome after thrombectomy
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8625281/
https://www.ncbi.nlm.nih.gov/pubmed/34829385
http://dx.doi.org/10.3390/diagnostics11112038
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