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...
Main Authors: | , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2022-01-01
|
Series: | Frontiers in Neurology |
Subjects: | |
Online Access: | https://www.frontiersin.org/articles/10.3389/fneur.2021.763018/full |
_version_ | 1798035607938662400 |
---|---|
author | Xiaocheng Zhang Peiyu Huang Ruiting Zhang |
author_facet | Xiaocheng Zhang Peiyu Huang Ruiting Zhang |
author_sort | Xiaocheng Zhang |
collection | DOAJ |
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. |
first_indexed | 2024-04-11T21:00:33Z |
format | Article |
id | doaj.art-dabd34a274844aa782444364affb65d5 |
institution | Directory Open Access Journal |
issn | 1664-2295 |
language | English |
last_indexed | 2024-04-11T21:00:33Z |
publishDate | 2022-01-01 |
publisher | Frontiers Media S.A. |
record_format | Article |
series | Frontiers in Neurology |
spelling | doaj.art-dabd34a274844aa782444364affb65d52022-12-22T04:03:32ZengFrontiers Media S.A.Frontiers in Neurology1664-22952022-01-011210.3389/fneur.2021.763018763018Evaluation and Prediction of Post-stroke Cerebral Edema Based on NeuroimagingXiaocheng ZhangPeiyu HuangRuiting ZhangCerebral 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.https://www.frontiersin.org/articles/10.3389/fneur.2021.763018/fullischemic strokeedemamechanismimaging evaluationpredictors |
spellingShingle | Xiaocheng Zhang Peiyu Huang Ruiting Zhang Evaluation and Prediction of Post-stroke Cerebral Edema Based on Neuroimaging Frontiers in Neurology ischemic stroke edema mechanism imaging evaluation predictors |
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 | ischemic stroke edema mechanism imaging evaluation predictors |
url | https://www.frontiersin.org/articles/10.3389/fneur.2021.763018/full |
work_keys_str_mv | AT xiaochengzhang evaluationandpredictionofpoststrokecerebraledemabasedonneuroimaging AT peiyuhuang evaluationandpredictionofpoststrokecerebraledemabasedonneuroimaging AT ruitingzhang evaluationandpredictionofpoststrokecerebraledemabasedonneuroimaging |