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Carotid plaque spaces relate to symptoms and ultrasound scattering
Journal article   Peer reviewed

Carotid plaque spaces relate to symptoms and ultrasound scattering

Sean P O'Brien, Bernard Sigel, Jeffery Justin and Vanlila Swami
Ultrasound in medicine & biology, v 30(5), pp 611-616
2004
DOI: https://doi.org/10.1016/j.ultrasmedbio.2004.02.002
PMID: 15183226
Featured in Collection :   UN Sustainable Development Goals @ Drexel

Abstract

Apoptosis planimetry Carotid plaques In vitro Neovessels Prevalence Spectral analysis Stroke Transient ischemic attacks Ultrasonic tissue characterization Ultrasound
We have previously found that spectral analysis of ultrasound (US) can discriminate in vitro plaques from asymptomatic and symptomatic (transient ischemic attack within previous 4 weeks) patients. That study found no differences in percentages of lipid or thrombus between the two groups by optical microscopy/planimetry. The present study was to find out if another feature from the microscopy could show a difference. The number and size of spaces resulting from cell death or new blood vessels were measured to see if they related to symptoms or could help explain US differentiation. Twelve plaques from each group were examined by optical microscopy. The sizes and concentrations of two kinds of spaces, endothelial lined (vessel spaces) and unlined (tissue spaces), were correlated both with symptoms and also with the US tissue characterization scores from the previous study. Symptomatic vs. asymptomatic plaques showed a higher concentration and a larger size: 0.87 vs. 0.21 per mm 2 ( p < 0.005) and 154 vs. 110 μm ( p < 0.02). A discriminant function of spaces with symptoms as dependent variables correctly identified 91.7% of the plaques ( p < 0.001). The concentration in plaques previously designated by US as true positive plaques or true negative was 1.21 vs. 0.22 per mm 2 ( p < 0.005). spaces were increased in plaques of symptomatic patients and were related to UTC scores. Both the lined and unlined spaces were useful as predictors. ( Jeffrey.Justin@Drexel.edu)

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Web of Science research areas
Acoustics
Radiology, Nuclear Medicine & Medical Imaging
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