Literature DB >> 7147465

A critical study of ultrasound Doppler spectral analysis for detecting carotid disease.

P M Brown, K W Johnston, M Kassam, R S Cobbold.   

Abstract

The results of in vitro and in vivo studies to determine the application and limitations of frequency analysis for CW Doppler ultrasound assessment of carotid stenoses are reported. In the in vitro study, the peak Doppler frequency and a new spectral broadening index were determined proximal to, at, and distal to axisymmetric and asymmetrical model stenoses. Good correlations with percent area stenoses were found. In the clinical study, 162 cases were examined using a 4 MHz Doppler system and by standard four-vessel arteriography. Peak frequencies of greater than 3.8 KHz were diagnostic of internal carotid stenoses of 3.2 mm minimum lumen diameter or less, with a sensitivity of 92% and a specificity of 94%. Spectral broadening, evaluated by subjective grading, yielded similar results.

Mesh:

Year:  1982        PMID: 7147465     DOI: 10.1016/0301-5629(82)90083-7

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


  7 in total

1.  Real-time system for robust spectral parameter estimation in Doppler signal analysis.

Authors:  C Di Giuliomaria; M Capponi; T D'Alessio; R Sacco; E Zanette
Journal:  Med Biol Eng Comput       Date:  1990-01       Impact factor: 2.602

2.  Detection of low-grade arterial stenosis using an automatic minimum-flow-velocity tracking system (MVTS) as an adjunct to pulsed ultrasonic Doppler vessel imaging.

Authors:  S J Calil; V C Roberts
Journal:  Med Biol Eng Comput       Date:  1985-07       Impact factor: 2.602

3.  Continuous-wave versus range-gated pulsed Doppler power frequency spectrum analysis in the detection of carotid arterial occlusive disease.

Authors:  T R Harward; E F Bernstein; A Fronek
Journal:  Ann Surg       Date:  1986-07       Impact factor: 12.969

4.  Versatile microcomputer-based system for the capture, storage and processing of spectrum-analysed Doppler ultrasound blood flow signals.

Authors:  D R Prytherch; D H Evans
Journal:  Med Biol Eng Comput       Date:  1985-09       Impact factor: 2.602

5.  'Objective' algorithm for maximum frequency estimation in Doppler spectral analysers.

Authors:  T D'Alessio
Journal:  Med Biol Eng Comput       Date:  1985-01       Impact factor: 2.602

6.  Computer processing of cardiac Doppler signals.

Authors:  A Heringa; J Alsters; J Hopman; I van Dam; O Daniëls
Journal:  Med Biol Eng Comput       Date:  1988-03       Impact factor: 2.602

7.  Spectral analysis of Doppler flow velocity signals: assessment of objectives, methods, and interpretation.

Authors:  P E Zuech; R S Cobbold; K W Johnston; M Kassam
Journal:  Ann Biomed Eng       Date:  1984       Impact factor: 3.934

  7 in total

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