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使用基于射频的经颅多普勒分析对栓塞性阵雨进行量化。

Quantification of embolic showers using radio-frequency based TCD analysis.

作者信息

Lipperts M G A, Sauren L D C, Maessen J G, Hoeks A P G, Mess W H

机构信息

Department of Cardiothoracic Surgery, Cardiovascular Research Institute Maastricht, Academic Hospital Maastricht, Maastricht, The Netherlands.

出版信息

Ultrasound Med Biol. 2009 Mar;35(3):395-402. doi: 10.1016/j.ultrasmedbio.2008.09.019. Epub 2008 Dec 12.

Abstract

During cardiac surgery and cardiology interventions, microemboli may be generated and disperse in the systemic circulation. The amount of microemboli that ends up in cerebral blood vessels is associated with postoperative neurologic complications. During cardiac surgery a large amount of cerebral microemboli can occur at once and create so-called "cerebral embolic showers." To correlate postoperative neurologic outcome to cerebral embolic load, a quantitative evaluation of these embolic showers is necessary. The standard monitoring technology to visualize cerebral microemboli is transcranial Doppler (TCD). Although the conventional TCD systems are equipped with software claiming to detect microembolic signals, none of the existing TCD systems is capable of an accurate estimation of the number of cerebral microemboli in embolic showers. In this study, an algorithm with a high temporal resolution, based on the radiofrequency (RF) signal of a TCD system, has been designed to quantify these showers. Evaluation by three independent observers of a training set demonstrates that the proposed method has a sensitivity of at least one order of magnitude better than the automatic detection algorithm on the existing Doppler device used. RF-based emboli detection can possibly become a standard addition to conventional Doppler methods, considering that accurate estimation of the embolic load supports quantification of neurologic risk during various surgical procedures.

摘要

在心脏手术和心脏病介入治疗过程中,可能会产生微栓子并散布于体循环中。最终进入脑血管的微栓子数量与术后神经并发症相关。在心脏手术期间,大量脑微栓子可能会一次性出现,形成所谓的“脑栓塞性阵雨”。为了将术后神经学结果与脑栓塞负荷相关联,对这些栓塞性阵雨进行定量评估是必要的。可视化脑微栓子的标准监测技术是经颅多普勒(TCD)。尽管传统的TCD系统配备了声称能检测微栓子信号的软件,但现有的TCD系统都无法准确估计栓塞性阵雨中脑微栓子的数量。在本研究中,基于TCD系统的射频(RF)信号设计了一种具有高时间分辨率的算法来量化这些阵雨。由三名独立观察者对一个训练集进行评估表明,所提出的方法的灵敏度比所使用的现有多普勒设备上的自动检测算法至少高一个数量级。考虑到准确估计栓塞负荷有助于量化各种手术过程中的神经风险,基于射频的栓子检测可能会成为传统多普勒方法的标准补充。

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