Bodily K C, Zierler R E, Greene F M, Blackshear W M, Phillips D J, Beach K W, Strandness D E
Clin Physiol. 1981 Aug;1(4):365-74. doi: 10.1111/j.1475-097x.1981.tb00904.x.
A computerized pattern recognition program was utilized to assess the predictive ability of various parameters obtained from the spectra of ultrasonic pulsed Doppler signals from the carotid arteries. The most accurate features selected by linear regression analysis were the natural log (ln) of the ratio of the mean velocity in the internal carotid artery compared to that in the common carotid artery, and the ln of the maximum velocity, the ln of the maximum frequency, and the square of the fractional broadening term, all of which were measured at peak systole in the internal carotid artery. Using the combination of the velocity ratio and the fractional broadening term, the average difference in the estimated percentage stenosis, as compared to that obtained by arteriography, was 12.8%.
利用一个计算机化模式识别程序来评估从颈动脉超声脉冲多普勒信号频谱中获取的各种参数的预测能力。通过线性回归分析选出的最准确特征是颈内动脉平均速度与颈总动脉平均速度之比的自然对数（ln）、最大速度的ln、最大频率的ln以及分数展宽项的平方，所有这些均在颈内动脉收缩期峰值时测量。使用速度比和分数展宽项的组合，与血管造影术获得的结果相比，估计狭窄百分比的平均差异为12.8%。
