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Original scientific paper

Correlation of Carotid Color Doppler and Angiographic Findings in Patients with Symptomatic Carotid Artery Stenosis

Arijana Lovrenčić-Huzjan
Marijana Bosnar-Puretić
Vlasta Vuković
Miroslav Malić
Nikica Thaller
Vida Demarin


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Abstract

In order to validate ultrasonographic criteria for various degrees of carotid stenosis, patients who underwent digital subtraction angiography (DSA) of carotid arteries were retrospectively analyzed. Data on 91 patients with symptomatic carotid disease who first underwent ultrasonography followed by DSA were evaluated. Color Doppler criteria were previously set for four categories of internal carotid artery (ICA) stenosis: mild, moderate, severe, and occlusion. DSA classified ICA stenosis into the same categories. Spearman’s Rank Correlation Coefficient was calculated. Spearman’s Rank Correlation Coefficient between ultrasound and angiography in detecting various degrees of carotid stenosis was 0.86. Ultrasonographic criteria for detection of severe ICA stenosis showed a sensitivity of 75%, specificity of 98%, false positive ratio of 20%, false negative ratio of 25%, positive predictive value of 95%, negative predictive value of 85%, and accurate diagnosis of 88%. Ultrasonographic criteria for ICA occlusion showed a sensitivity of 82%, specificity of 98%, false positive ratio of 10%, false negative ratio of 18%, positive predictive value of 94%, negative predictive value of 95%, and accurate diagnosis of 95%. Our combination of various ultrasonographic parameters was sensitive for detection of various degrees of carotid stenosis, with a very high specificity, thus providing highly positive predictive values for such a classification. A lower sensitivity was obtained due to the lower sensitivity of angiography in detecting minimal flow in near-occluded ICAs.

Keywords

Carotid stenosis, radiography; Carotid stenosis, ultrasonography; Cerebral angiography

Hrčak ID:

14977

URI

https://hrcak.srce.hr/14977

Publication date:

1.12.2000.

Article data in other languages: croatian

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