Suppr超能文献

用于预测动脉瘤性蛛网膜下腔出血后脑血管痉挛的计算机断层扫描分级方案:历史回顾

Computed tomography grading schemes used to predict cerebral vasospasm after aneurysmal subarachnoid hemorrhage: a historical review.

作者信息

Klimo Paul, Schmidt Richard H

机构信息

Department of Neurosurgery, Children's Hospital Boston, Massachusetts, USA.

出版信息

Neurosurg Focus. 2006 Sep 15;21(3):E5. doi: 10.3171/foc.2006.21.3.5.

Abstract

The elucidation of predictive factors of cerebral vasospasm following aneurysmal subarachnoid hemorrhage (SAH) is a major area of both clinical and basic science research. It is becoming clear that many factors contribute to this phenomenon. The most consistent predictor of vasospasm has been the amount of SAH seen on the postictal computed tomography scan. Over the last 30 years, it has become clear that the greater the amount of blood within the basal cisterns, the greater the risk of vasospasm. To evaluate this risk, various grading schemes have been proposed, from simple to elaborate, the most widely known being the Fisher scale. Most recently, volumetric quantification and clearance models have provided the most detailed analysis. Intraventricular hemorrhage, although not supported as strongly as cisternal SAH, has also been shown to be a risk factor for vasospasm.

摘要

阐明动脉瘤性蛛网膜下腔出血(SAH)后脑血管痉挛的预测因素是临床和基础科学研究的一个主要领域。越来越清楚的是,许多因素导致了这种现象。血管痉挛最一致的预测因素是发作后计算机断层扫描上可见的SAH量。在过去30年中,已经明确基底池内的血液量越大,血管痉挛的风险就越大。为了评估这种风险,已经提出了各种分级方案,从简单到复杂,最广为人知的是Fisher分级。最近,体积定量和清除模型提供了最详细的分析。脑室内出血虽然不像脑池SAH那样得到有力支持,但也已被证明是血管痉挛的一个危险因素。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验