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利用能量多普勒双功超声诊断颈内动脉狭窄超过70%。

Diagnosis of internal carotid artery stenosis greater than 70% with power Doppler duplex sonography.

作者信息

Koga M, Kimura K, Minematsu K, Yamaguchi T

机构信息

National Cardiovascular Center, Suita, Osaka, Japan.

出版信息

AJNR Am J Neuroradiol. 2001 Feb;22(2):413-7.

Abstract

BACKGROUND AND PURPOSE

Duplex sonography is an effective tool for evaluating internal carotid artery (ICA) stenosis, and power Doppler imaging has improved its value in this regard. Our goal was to elucidate which parameters, such as linear stenosis, area stenosis, and peak systolic velocity (PSV), are the most reliable predictors of ICA stenosis greater than 70% using the method proposed by the North American Symptomatic Carotid Endarterectomy Trial (NASCET).

METHODS

Duplex sonography with power Doppler imaging and cerebral angiography were performed prospectively in 75 patients (135 vessels). The grade of stenosis on angiograms was calculated by the NASCET method, and linear stenosis, area stenosis, and PSV were measured in the most stenotic part of the ICA.

RESULTS

Angiography revealed 20 ICA vessels with stenosis greater than 70%. The correlation between angiographic stenosis and linear stenosis, area stenosis, and PSV was .82, .78, and .84, respectively. A sensitivity-specificity curve analysis determined optimal threshold values of linear stenosis, area stenosis, and PSV as predictors of ICA stenosis greater than 70% as 74.7%, 83.3%, and 200 cm/s, respectively. Calculations of positive and negative predictive values, and accuracy using the optimal threshold values were 90.5%, 99.1%, and 97.8% for linear stenosis; 76.0%, 99.1%, and 94.8% for area stenosis; and 100%, 100%, and 100% for PSV.

CONCLUSION

All parameters corresponded relatively well with angiographic stenosis. In particular, PSV greater than 200 cm/s was the most reliable predictor of ICA stenosis greater than 70%. We believe that the combination of parameters plays a crucial role in the accurate assessment of ICA stenosis.

摘要

背景与目的

双功超声是评估颈内动脉(ICA)狭窄的有效工具,能量多普勒成像提高了其在这方面的价值。我们的目标是使用北美症状性颈动脉内膜切除术试验(NASCET)提出的方法,阐明哪些参数,如线性狭窄、面积狭窄和收缩期峰值速度(PSV),是ICA狭窄大于70%的最可靠预测指标。

方法

对75例患者(135条血管)前瞻性地进行了能量多普勒成像双功超声检查和脑血管造影。血管造影的狭窄分级采用NASCET方法计算,在ICA最狭窄部位测量线性狭窄、面积狭窄和PSV。

结果

血管造影显示20条ICA血管狭窄大于70%。血管造影狭窄与线性狭窄、面积狭窄和PSV的相关性分别为0.82、0.78和0.84。敏感性-特异性曲线分析确定线性狭窄、面积狭窄和PSV作为ICA狭窄大于70%预测指标的最佳阈值分别为74.7%、83.3%和200 cm/s。使用最佳阈值计算的阳性和阴性预测值以及准确性,线性狭窄分别为90.5%、99.1%和97.8%;面积狭窄分别为76.0%、99.1%和94.8%;PSV分别为100%、100%和100%。

结论

所有参数与血管造影狭窄的对应性相对较好。特别是,PSV大于200 cm/s是ICA狭窄大于70%的最可靠预测指标。我们认为参数的组合在ICA狭窄的准确评估中起着关键作用。

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