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急性脑出血的神经影像学

Neuroimaging of Acute Intracerebral Hemorrhage.

作者信息

Sporns Peter B, Psychogios Marios-Nikos, Boulouis Grégoire, Charidimou Andreas, Li Qi, Fainardi Enrico, Dowlatshahi Dar, Goldstein Joshua N, Morotti Andrea

机构信息

Department of Neuroradiology, Clinic for Radiology & Nuclear Medicine, University Hospital Basel, 4031 Basel, Switzerland.

Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, 20246 Hamburg, Germany.

出版信息

J Clin Med. 2021 Mar 5;10(5):1086. doi: 10.3390/jcm10051086.

DOI:10.3390/jcm10051086
PMID:33807843
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7962049/
Abstract

Intracerebral hemorrhage (ICH) accounts for 10% to 20% of all strokes worldwide and is associated with high morbidity and mortality. Neuroimaging is clinically important for the rapid diagnosis of ICH and underlying etiologies, but also for identification of ICH expansion, often as-sociated with an increased risk for poor outcome. In this context, rapid assessment of early hema-toma expansion risk is both an opportunity for therapeutic intervention and a potential hazard for hematoma evacuation surgery. In this review, we provide an overview of the current literature surrounding the use of multimodal neuroimaging of ICH for etiological diagnosis, prediction of early hematoma expansion, and prognostication of neurological outcome. Specifically, we discuss standard imaging using computed tomography, the value of different vascular imaging modalities to identify underlying causes and present recent advances in magnetic resonance imaging and computed tomography perfusion.

摘要

脑出血(ICH)占全球所有中风的10%至20%,并与高发病率和死亡率相关。神经影像学在临床上对于脑出血及其潜在病因的快速诊断很重要,而且对于识别脑出血扩大也很重要,脑出血扩大通常与不良预后风险增加有关。在这种情况下,快速评估早期血肿扩大风险既是治疗干预的机会,也是血肿清除手术的潜在风险。在这篇综述中,我们概述了围绕脑出血多模态神经影像学用于病因诊断、早期血肿扩大预测以及神经功能预后评估的当前文献。具体而言,我们讨论了使用计算机断层扫描的标准成像、不同血管成像模式在识别潜在病因方面的价值,并介绍了磁共振成像和计算机断层扫描灌注的最新进展。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7259/7962049/45207b4aa2af/jcm-10-01086-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7259/7962049/083a8b7a981c/jcm-10-01086-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7259/7962049/30ef448dea9d/jcm-10-01086-g002a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7259/7962049/5f92359149af/jcm-10-01086-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7259/7962049/45207b4aa2af/jcm-10-01086-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7259/7962049/083a8b7a981c/jcm-10-01086-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7259/7962049/30ef448dea9d/jcm-10-01086-g002a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7259/7962049/5f92359149af/jcm-10-01086-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7259/7962049/45207b4aa2af/jcm-10-01086-g004.jpg

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本文引用的文献

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Imaging-Based Outcome Prediction of Acute Intracerebral Hemorrhage.基于影像学的急性脑出血预后预测。
Transl Stroke Res. 2021 Dec;12(6):958-967. doi: 10.1007/s12975-021-00891-8. Epub 2021 Feb 6.
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Noncontrast CT markers of intracerebral hemorrhage expansion and poor outcome: A meta-analysis.非对比 CT 标志物与脑出血扩展及不良预后的关系:一项荟萃分析。
Neurology. 2020 Oct 6;95(14):632-643. doi: 10.1212/WNL.0000000000010660. Epub 2020 Aug 26.
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Inter- and Intrarater Agreement of Spot Sign and Noncontrast CT Markers for Early Intracerebral Hemorrhage Expansion.
脑出血的神经影像学:进展与知识空白
Front Neurosci. 2024 May 9;18:1408288. doi: 10.3389/fnins.2024.1408288. eCollection 2024.
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Unveiling the Crystal Ball: Predictors of Adverse Outcomes in Intracerebral Hemorrhage Patients.揭开水晶球的面纱:脑出血患者不良结局的预测因素
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Biomed Eng Online. 2023 Dec 4;22(1):114. doi: 10.1186/s12938-023-01172-1.
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Machine Learning for Onset Prediction of Patients with Intracerebral Hemorrhage.用于脑出血患者发病预测的机器学习
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Role of SIRT3 in neurological diseases and rehabilitation training.SIRT3 在神经疾病及康复训练中的作用。
Metab Brain Dis. 2023 Jan;38(1):69-89. doi: 10.1007/s11011-022-01111-4. Epub 2022 Nov 14.
早期脑出血扩大的斑点征和非增强CT标记物的评分者间及评分者内一致性
J Clin Med. 2020 Apr 4;9(4):1020. doi: 10.3390/jcm9041020.
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Calculation of Prognostic Scores, Using Delayed Imaging, Outperforms Baseline Assessments in Acute Intracerebral Hemorrhage.延迟成像预测评分优于急性脑出血的基线评估。
Stroke. 2020 Apr;51(4):1107-1110. doi: 10.1161/STROKEAHA.119.027119. Epub 2020 Mar 10.
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