Appraisal of different ultrasonography indices in patients with carotid artery atherosclerosis

Authors

  • Mehravar Rafati Department of Medical Physics and Radiology, Faculty of Paramedicine, Kashan University of Medical Sciences, Kashan, Iran
  • Elham Havaee Department of Medical Physics and Radiology, Faculty of Paramedicine, Kashan University of Medical Sciences, Kashan, Iran
  • Hassan Moladoust Cardiovascular Research Center, Guilan University of Medical Sciences, Rasht, Iran
  • Mohammadreza Sehhati Department of Biomedical Engineering, School of Advanced Technologies in Medicine, Isfahan University of Medical Sciences, Isfahan, Iran

DOI:

https://doi.org/10.17179/excli2017-232

Keywords:

carotid intima-media thickness, diagnostics, image processing software, mean wavelet entropy, statistical, ultrasonography

Abstract

In this study a semi-automated image-processing based method was designed in which the parameters such as intima-media thickness (IMT), resistive index (RI), pulsatility index (PI), dicrotic notch index (DNI), and mean wavelet entropy (MWE) were evaluated in B-mode and Doppler ultrasound in patients presenting with carotid artery atherosclerosis. In a cross-sectional design, 144 men were divided into four groups of control, mild, moderate and severe stenosis subjects. In all individuals, far wall IMT, RI, PI, DNI, and MWE of the left common carotid artery (CCA) were extracted using the proposed method. Our findings showed that the maximum far wall IMT, RI, PI, DNI in the CCA were significantly different in the patients with mild, moderate, and severe stenosis compared to control group (p-value < 0.05), however, there were no significant differences in MWE among the four groups (p-value > 0.05). The proposed method can help physicians to better identify patients at risk of cardiovascular diseases.

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Published

2017-05-17

How to Cite

Rafati, M., Havaee, E., Moladoust, H., & Sehhati, M. (2017). Appraisal of different ultrasonography indices in patients with carotid artery atherosclerosis. EXCLI Journal, 16, 727–741. https://doi.org/10.17179/excli2017-232

Issue

Vol. 16 (2017)

Section

Original articles

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