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高强度瞬态信号(HITS)的检测:方法与原因

Detection of high intensity transient signals (HITS): how and why?

作者信息

Droste D W, Ringelstein E B

机构信息

Klinik und Poliklinik für Neurologie der WWU Münster, Albert-Schweitzer-Str. 33, D-48129 Münster, Germany.

出版信息

Eur J Ultrasound. 1998 Feb;7(1):23-9. doi: 10.1016/s0929-8266(98)00010-x.

Abstract

HITS (high intensity transient signals) in transcranial Doppler recordings reflect either microemboli, both gaseous and solid, or artefacts. Various frequencies in number of microembolic signals (MES) have been reported in the same clinical condition. A possible explanation for these discrepancies may be different device settings and algorithms for embolus detection. For reproducibility of data, we suggest that studies on MES report the following parameters: (1) Ultrasound device; (2) transducer type; (3) insonated artery; (4) insonation depth; (5) algorithms for signal intensity measurement; (6) scale settings; (7) detection threshold; (8) axial extension of sample volume; (9) fast Fourier transform (FFT) size (number of points used); (10) FFT length (time); (11) FFT overlap; (12) transmitted ultrasound frequency; (13) high pass filter settings; and (14) recording time. No current system of automatic embolus detection has the full sensitivity and specificity required for clinical use. Therefore, each of the signals detected by these devices needs to be checked and verified by an experienced investigator. MES will help to identify the site and activity of the embolizing lesion. Microembolus detection might reduce the observation time and the number of patients needed to perform interventional trials. First, however, MES needs to be validated as a meaningful prognostic parameter. Microemboli originating from prosthetic cardiac valves are mainly gaseous. Therefore, they cannot serve as an indicator of the valves thromboembolic activity or the patient's stroke risk.

摘要

经颅多普勒记录中的高强度瞬态信号(HITS)反映的要么是微栓子(包括气态和固态),要么是伪像。在相同临床情况下,已报道了微栓子信号(MES)数量的各种频率。这些差异的一个可能解释可能是栓子检测的设备设置和算法不同。为了保证数据的可重复性,我们建议关于MES的研究报告以下参数:(1)超声设备;(2)换能器类型;(3)被检测动脉;(4)检测深度;(5)信号强度测量算法;(6)刻度设置;(7)检测阈值;(8)采样容积的轴向范围;(9)快速傅里叶变换(FFT)大小(使用的点数);(10)FFT长度(时间);(11)FFT重叠;(12)发射超声频率;(13)高通滤波器设置;以及(14)记录时间。目前没有一种自动栓子检测系统具有临床使用所需的全部敏感性和特异性。因此,这些设备检测到的每个信号都需要由经验丰富的研究人员进行检查和验证。MES将有助于识别栓塞病变的部位和活动情况。微栓子检测可能会减少观察时间以及进行介入试验所需的患者数量。然而,首先,MES需要被验证为一个有意义的预后参数。源自人工心脏瓣膜的微栓子主要是气态的。因此,它们不能作为瓣膜血栓栓塞活动或患者中风风险的指标。

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