Literature DB >> 2931875

In vitro comparison of alternative methods for quantifying the severity of Doppler spectral broadening for the diagnosis of carotid arterial occlusive disease.

P G Kalman, K W Johnston, P Zuech, M Kassam, K Poots.   

Abstract

Quantitative analysis of continuous wave Doppler recordings is of clinical value in the noninvasive diagnosis of carotid arterial disease. Peak frequency measurements are useful and accurately detect severe stenoses but do not reliably diagnose minor or moderate stenoses because the measurement is dependent upon the probe to vessel angle, which cannot be measured accurately. Recent investigations have focused on efforts to overcome this limitation by quantifying the degree of spectral broadening that occurs as the result of flow disturbances downstream from a stenosis. In this study, an in vitro model was used to determine the optimum method for quantifying the instantaneous Doppler spectrum. The model generates blood flow velocity waveforms that are virtually identical to those found in the human internal carotid artery. Doppler recordings were made from normal tubes and distal to stenoses (39-87% cross-sectional area reduction). The spectra were quantified by the following angle-independent measurements: spectral broadening index and three standard statistical shape descriptors, namely the coefficients of variation, skewedness and kurtosis. Using this model, the results demonstrate an excellent relationship between the severity of the stenosis and each of spectral broadening index (r = 0.99), coefficient of variation (r = 0.96), and coefficient of skewedness (r = 0.99). The calculation of each of the measurements can be implemented quite easily, and a prospective trial is warranted to evaluate their clinical diagnostic accuracy.

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Year:  1985        PMID: 2931875     DOI: 10.1016/0301-5629(85)90154-1

Source DB:  PubMed          Journal:  Ultrasound Med Biol        ISSN: 0301-5629            Impact factor:   2.998


  7 in total

1.  Effect of ensemble averaging on amplitude and feature variabilities of Doppler spectrograms recorded in the lower limb arteries.

Authors:  L Allard; Y E Langlois; L G Durand; G O Roederer; G Cloutier
Journal:  Med Biol Eng Comput       Date:  1992-05       Impact factor: 2.602

2.  The effect of averaging cardiac Doppler spectrograms on the reduction of their amplitude variability.

Authors:  G Cloutier; L Allard; Z Guo; L G Durand
Journal:  Med Biol Eng Comput       Date:  1992-03       Impact factor: 2.602

3.  Determining fractal dimension of umbilical artery Doppler signals using Hurst exponent.

Authors:  Fatma Latifoğlu; Sadik Kara; Mehmet Güney
Journal:  J Med Syst       Date:  2007-12       Impact factor: 4.460

4.  Asymmetry of Doppler spectrum in stenosis differentiation.

Authors:  K Kaluzynski; A Tedgui
Journal:  Med Biol Eng Comput       Date:  1989-09       Impact factor: 2.602

5.  Low-cost Doppler signal simulator.

Authors:  C D Sheldon; T C Duggen
Journal:  Med Biol Eng Comput       Date:  1987-03       Impact factor: 2.602

6.  Comparison of short-time Fourier transform and Eigenvector MUSIC methods using discrete wavelet transform for diagnosis of atherosclerosis.

Authors:  Fatma Latifoğlu; Sadik Kara; Erkan Imal
Journal:  J Med Syst       Date:  2009-06       Impact factor: 4.460

7.  Investigation of the arterial stiffness on renal artery Doppler sonograms.

Authors:  Mahmut Tokmakçi; Nuri Erdoğan
Journal:  J Med Syst       Date:  2009-04       Impact factor: 4.460

  7 in total

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