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经颅多普勒指数检测到的脑血流振荡。

Oscillations in cerebral blood flow detected with a transcranial Doppler index.

作者信息

Giller C A, Hatab M R, Giller A M

机构信息

Department of Neurological Surgery, University of Texas Southwestern Medical Center, Dallas 75232-8855, USA.

出版信息

J Cereb Blood Flow Metab. 1999 Apr;19(4):452-9. doi: 10.1097/00004647-199904000-00011.

Abstract

Although transcranial Doppler ultrasound (TCD) has been used to detect oscillations in CBF, interpretation is severely limited, since only blood velocity and not flow is measured. Oscillations in vessel diameter could, therefore, mask or alter the detection of those in flow by TCD velocities. In this report, the authors use a TCD-derived index of flow to detect and quantify oscillations of CBF in humans at rest. A flow index (FI) was calculated from TCD spectra by averaging the intensity weighted mean in a beat-by-beat manner over 10 seconds. Both FI and TCD velocity were measured in 16 studies of eight normal subjects at rest every 10 seconds for 20 minutes. End tidal CO2 and blood pressure were obtained simultaneously in six of these studies. The TCD probe position was meticulously held constant. An index of vessel area was calculated by dividing FI by velocity. Spectral estimations were obtained using the Welch method. Spectral peaks were defined as peaks greater than 2 dB above background. The frequencies and magnitudes of spectral peaks of FI, velocity, blood pressure, and CO2 were compared with t tests. The Kolmogorov-Smirnov test was used to further confirm that the data were not white noise. In most cases, three spectral peaks (a, b, c) could be identified, corresponding to periods of 208+/-93, 59+/-31, and 28+/-4 (SD) seconds for FI, and 196+/-83, 57+/-20, and 28+/-6, (SD) seconds for velocity. The magnitudes of the spectral peaks for FI were significantly greater (P<0.02) than those for velocity. These magnitudes corresponded to variations of at least 15.6%, 9.8%, and 6.8% for FI, and 4.8%, 4.2%, and 2.8% for velocity. The frequencies of the spectral peaks of CO2 were similar to those of FI with periods of 213+/-100, 60+/-46, and 28+/-3.6 (SD) seconds. However, the CO2 spectral peak magnitudes were small, with an estimated maximal effect on CBF of (+/-) 2.5+/-0.98, 1.5+/-0.54, and 1.1+/-0.31 (SD) percent. The frequencies of the blood pressure spectral peaks also were similar, with periods of 173+/-81, 44+/-8, and 26+/-2.5 (SD) seconds. Their magnitudes were small, corresponding to variations in blood pressure of (+/-) 2.1+/-0.55, 0.97+/-0.25, and 0.72+/-0.19 (SD) percent. Furthermore, coherence analysis showed no correlation between CO2 and FI, and only weak correlations at isolated frequencies between CO2 and velocity, blood pressure and velocity, or blood pressure and FI. The Kolmogorov-Smirnov test distinguished our data from white noise in most cases. Oscillations in vessel flow occur with significant magnitude at three distinct frequencies in normal subjects at rest and can be detected with a TCD-derived index. The presence of oscillations in blood velocity at similar frequencies but at lower magnitudes suggests that the vessel diameters oscillate in synchrony with flow. Observed variations in CO2 and blood pressure do not explain the flow oscillations. Ordinary TCD velocities severely underestimate these oscillations and so are not appropriate when small changes in flow are to be measured.

摘要

尽管经颅多普勒超声(TCD)已被用于检测脑血流量(CBF)的振荡,但由于其仅测量血流速度而非血流量,因此解释受到严重限制。血管直径的振荡可能会掩盖或改变TCD速度对血流量振荡的检测。在本报告中,作者使用一种由TCD得出的血流指数来检测和量化静息状态下人类CBF的振荡。通过在10秒内逐搏平均强度加权均值,从TCD频谱计算出血流指数(FI)。在对8名正常受试者进行的16项静息研究中,每隔10秒测量FI和TCD速度,持续20分钟。其中6项研究同时获取了呼气末二氧化碳分压和血压。TCD探头位置被精心保持恒定。通过将FI除以速度计算出血管面积指数。使用Welch方法获得频谱估计值。频谱峰值被定义为高于背景2 dB以上的峰值。使用t检验比较FI、速度、血压和二氧化碳频谱峰值的频率和幅度。使用Kolmogorov-Smirnov检验进一步确认数据不是白噪声。在大多数情况下,可以识别出三个频谱峰值(a、b、c),FI对应的周期为208±93、59±31和28±4(标准差)秒,速度对应的周期为196±83、57±20和28±6(标准差)秒。FI频谱峰值的幅度显著大于速度频谱峰值的幅度(P<0.02)。这些幅度对应于FI至少15.6%、9.8%和6.8%的变化,以及速度4.8%、4.2%和2.8%的变化。二氧化碳频谱峰值的频率与FI相似,周期为213±100、60±46和28±3.6(标准差)秒。然而二氧化碳频谱峰值幅度较小,估计对CBF的最大影响为(±)2.5±0.98、1.5±0.54和1.1±0.31(标准差)百分比。血压频谱峰值的频率也相似,周期为173±81、44±8和26±2.5(标准差)秒。其幅度较小,对应于血压(±)2.1±0.55、0.97±0.25和0.72±0.19(标准差)百分比的变化。此外,相干分析表明二氧化碳与FI之间无相关性,二氧化碳与速度、血压与速度或血压与FI之间仅在孤立频率处有弱相关性。在大多数情况下,Kolmogorov-Smirnov检验将我们的数据与白噪声区分开来。静息状态下的正常受试者中,血管血流振荡在三个不同频率下以显著幅度发生,并且可以通过一种由TCD得出的指数检测到。相似频率但幅度较低的血流速度振荡表明血管直径与血流同步振荡。观察到的二氧化碳和血压变化并不能解释血流振荡。普通的TCD速度严重低估了这些振荡,因此在测量血流的微小变化时并不适用。

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