Spectral analysis of Doppler velocity patterns in normals and patients with carotid artery stenosis.
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%.
D001161:Arteriosclerosis / Q000175:diagnosis / Q000503:physiopathology; D002339:Carotid Arteries / Q000000981:diagnostic imaging; D002340:Carotid Artery Diseases / Q000175:diagnosis / Q000503:physiopathology*; D004301:Doppler Effect; D006801:Humans; D010363:Pattern Recognition, Automated; D011859:Radiography; D012044:Regression Analysis; D014463:Ultrasonography