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Evaluation and Prediction of Post-stroke Cerebral Edema Based on Neuroimaging

Cerebral edema is a common complication of acute ischemic stroke that leads to poorer functional outcomes and substantially increases the mortality rate. Given that its negative effects can be reduced by more intensive monitoring and evidence-based interventions, the early identification of patients...

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Detalles Bibliográficos
Autores principales: Zhang, Xiaocheng, Huang, Peiyu, Zhang, Ruiting
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8786707/
https://www.ncbi.nlm.nih.gov/pubmed/35087464
http://dx.doi.org/10.3389/fneur.2021.763018
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author Zhang, Xiaocheng
Huang, Peiyu
Zhang, Ruiting
author_facet Zhang, Xiaocheng
Huang, Peiyu
Zhang, Ruiting
author_sort Zhang, Xiaocheng
collection PubMed
description Cerebral edema is a common complication of acute ischemic stroke that leads to poorer functional outcomes and substantially increases the mortality rate. Given that its negative effects can be reduced by more intensive monitoring and evidence-based interventions, the early identification of patients with a high risk of severe edema is crucial. Neuroimaging is essential for the assessment and prediction of edema. Simple markers, such as midline shift and hypodensity volume on computed tomography, have been used to evaluate edema in clinical trials; however, advanced techniques can be applied to examine the underlying mechanisms. In this study, we aimed to review current imaging tools in the assessment and prediction of cerebral edema to provide guidance for using these methods in clinical practice.
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spelling pubmed-87867072022-01-26 Evaluation and Prediction of Post-stroke Cerebral Edema Based on Neuroimaging Zhang, Xiaocheng Huang, Peiyu Zhang, Ruiting Front Neurol Neurology Cerebral edema is a common complication of acute ischemic stroke that leads to poorer functional outcomes and substantially increases the mortality rate. Given that its negative effects can be reduced by more intensive monitoring and evidence-based interventions, the early identification of patients with a high risk of severe edema is crucial. Neuroimaging is essential for the assessment and prediction of edema. Simple markers, such as midline shift and hypodensity volume on computed tomography, have been used to evaluate edema in clinical trials; however, advanced techniques can be applied to examine the underlying mechanisms. In this study, we aimed to review current imaging tools in the assessment and prediction of cerebral edema to provide guidance for using these methods in clinical practice. Frontiers Media S.A. 2022-01-11 /pmc/articles/PMC8786707/ /pubmed/35087464 http://dx.doi.org/10.3389/fneur.2021.763018 Text en Copyright © 2022 Zhang, Huang and Zhang. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Neurology
Zhang, Xiaocheng
Huang, Peiyu
Zhang, Ruiting
Evaluation and Prediction of Post-stroke Cerebral Edema Based on Neuroimaging
title Evaluation and Prediction of Post-stroke Cerebral Edema Based on Neuroimaging
title_full Evaluation and Prediction of Post-stroke Cerebral Edema Based on Neuroimaging
title_fullStr Evaluation and Prediction of Post-stroke Cerebral Edema Based on Neuroimaging
title_full_unstemmed Evaluation and Prediction of Post-stroke Cerebral Edema Based on Neuroimaging
title_short Evaluation and Prediction of Post-stroke Cerebral Edema Based on Neuroimaging
title_sort evaluation and prediction of post-stroke cerebral edema based on neuroimaging
topic Neurology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8786707/
https://www.ncbi.nlm.nih.gov/pubmed/35087464
http://dx.doi.org/10.3389/fneur.2021.763018
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