Online Automatic Discrimination Between Solid and Gaseous Cerebral Microemboli With the First Multifrequency Transcranial Doppler

D. Russell, R. Brucher
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引用次数: 163

Abstract

Background and Purpose— The aim of this study was to assess the first multifrequency transcranial Doppler system that was specially developed to automatically detect and discriminate between solid and gaseous cerebral microemboli. Methods— The multifrequency transcranial Doppler instrumentation insonates simultaneously with 2.5 and 2.0 MHz. Differentiation between solid and gaseous microemboli is based on the principle that solid microemboli reflect more ultrasound at the higher than at the lower frequency, whereas the opposite is the case for gaseous microemboli. In the in vitro studies, 159 plastic spheres (50 or 80 &mgr;m in diameter) and 105 gas bubbles (8 to 25 &mgr;m) were studied in a pulsatile closed-loop system containing irodinium or pig blood. In vivo studies were carried out for 1 hour in 15 patients with mechanical heart valves and in 45 patients with carotid stenosis. This gave a total of 60 hours of online automatic monitoring in patients. Results— In the in vitro studies, 152 of the 159 (95.6%) plastic spheres were classified as solid, and 7 (4.4%) were classified as uncertain solid. Of the 105 gas bubbles, 99 (94.3%) were classified as gaseous and 6 (5.7%) as uncertain gaseous. Thus, correct classification was made for 251 (95.1%) of the 264 embolic events studied. A comparison between the automatic multifrequency discrimination and the known embolic classification gave a &kgr; value of 0.897 (P <0.0001). The multifrequency Doppler classified 433 (84.2%) of the 514 emboli detected in the mechanical heart valve patients as gaseous, 74 (14.4%) as solid, and 7 (1.4%) as uncertain (3 uncertain solid, 4 uncertain gas). Thirty-two emboli were detected in 17 (38%) of the 45 carotid stenosis patients; 30 (93.7%) were classified as solid and 2 (6.3%) as uncertain solid. Conclusions— This study has shown that multifrequency transcranial Doppler can be used to automatically differentiate between solid and gaseous microemboli online. Most detected microemboli in this initial study of mechanical heart valves were classified as gaseous, whereas most were classified as solid in the patients with carotid stenosis.
第一多频经颅多普勒在线自动识别脑微栓子
背景和目的:本研究的目的是评估第一个专门用于自动检测和区分固体和气体脑微栓塞的多频经颅多普勒系统。方法——多频经颅多普勒仪器与2.5和2.0 MHz同时受到声波的作用。固体微栓子与气体微栓子的区分是基于固体微栓子在高频处比低频处反射更多的超声,而气体微栓子则相反。在体外研究中,在含碘或猪血的脉冲闭环系统中研究了159个塑料球(直径50或80微米)和105个气泡(直径8至25微米)。在15例机械心脏瓣膜患者和45例颈动脉狭窄患者中进行了1小时的体内研究。这给患者提供了总共60小时的在线自动监测。结果:在体外研究中,159个塑料球中有152个(95.6%)被归类为固体,7个(4.4%)被归类为不确定固体。105个气泡中,99个(94.3%)为气态,6个(5.7%)为不确定气体。因此,对264例栓塞事件中的251例(95.1%)进行了正确的分类。将自动多频判别法与已知栓塞分类法进行了比较,得出了&kgr;值0.897 (P <0.0001)。在514例机械心脏瓣膜患者中,经多频多普勒诊断,气体栓塞433例(84.2%),固体栓塞74例(14.4%),不确定栓塞7例(1.4%)(不确定固体栓塞3例,不确定气体栓塞4例)。45例颈动脉狭窄患者中,17例(38%)检出32个栓子;固体30例(93.7%),不确定固体2例(6.3%)。结论:本研究表明,多频经颅多普勒可用于在线自动区分固体和气体微栓塞。在这项机械心脏瓣膜的初步研究中,大多数检测到的微栓塞被归类为气态,而在颈动脉狭窄患者中,大多数被归类为固体。
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