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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 microm (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.

This in vitro study investigated the ability of ultrasonic tissue characterization (UTC) to discriminate between plaques from asymptomatic and symptomatic patients and to compare UTC findings with quantitative measurements of plaque morphology. A total of 34 plaque specimens removed at carotid endarterectomy were scanned transversely at intervals of 1 mm, and compared to tissue cross-sections examined by optical microscopy employing computer-assisted planimetry. UTC was performed by spectral analysis of backscattered radiofrequency signals. The slope, intercept and total power parameters of the spectrum were evaluated. Discriminant analysis was used to compare the ability of the UTC spectral parameters and morphological constituents to correctly classify plaques according to their symptom group membership. UTC correctly classified 88.2% of the plaques. Thrombus was present in 93.9% of the plaques, and there was little difference in the morphological constituents of plaques from asymptomatic and symptomatic patients. Morphological constituents correctly classified 60.7% of the plaques. We conclude, in this preliminary study, that UTC can discriminate between carotid plaques from asymptomatic and symptomatic patients with moderate accuracy, despite a similarity in their morphological composition. UTC discrimination is not related to differences in the type or amount of morphological constituents in the plaques.