Is there an association between asymmetry of carotid artery wall thickness (ACAWT) and cerebrovascular symptoms?. (1st June 2015)

• Record Type: Journal Article
• Authors: Saba, Luca; Raz, Eytan; di Martino, Michele; Suri, Jasjit S.; Montisci, Roberto; Sanfilippo, Roberto; Piga, Mario
• Is Part Of: International journal of neuroscience. Volume 125:Number 6(2015:Jun.)
• Page Start: 456
• Page End: 463
• Publication Date: 2015-06-01
• Subjects: Nervous system -- Periodicals; 612.805
• DOI: 10.3109/00207454.2014.948116
• Languages: English
• ISSNs: 0020-7454

Abstract

<abstract> <title> <x xml:space="preserve">Abstract</x> </title> <p> <italic>Purpose</italic>: Previous publications demonstrated that multi-detector-row computed tomography Angiography (MDCTA) can evaluate the carotid artery wall thickness (CAWT). The purpose of this work was to compare the asymmetry of CAWT between carotids in symptomatic and asymptomatic patients. <italic>Material and Methods</italic>: Sixty consecutive symptomatic (males 44; median age 64) and 60 asymptomatic sex- and age-matched patients were analysed by using a 40-detector-row CT system. CAWT was calculated for both carotids in each patient and the ratio between the thicker CAWT and the contra-lateral was calculated to obtain the ACAWT index. Bland-Altman, logistic regression and receiver operating characteristic (ROC) curve analysis were calculated. <italic>Results:</italic> The Bland-Altman plot demonstrates a very good agreement between measurements with a mean difference value of 3.4% and 95% CI from −8% to 14.8%. The ACAWT was significantly different between symptomatic and asymptomatic patients (with a <italic>p</italic> value of 0.0001). The ROC area under the curve was 0.742 (<italic>p</italic> = 0.001). Logistic regression model indicated that ACAWT, CAWT, stenosis degree, and fatty plaques were independent variables associated with cerebrovascular symptoms (<italic>p</italic> value, respectively, 0.0108, 0.0231, 0.0002, and 0.013). <italic>Conclusion:</italic> Results of our study indicated that the index of asymmetry in the CAWT might be used as a further parameter to stratify the risk of symptoms related to carotid artery.</p> </abstract>