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Evolution of CT Imaging Features of Carotid Atherosclerotic Plaques in a 1‐Year Prospective Cohort Study
Author(s) -
Adraktas Dionesia D.,
Tong Elizabeth,
Furtado Andre D.,
Cheng SuChun,
Wintermark Max
Publication year - 2012
Publication title -
journal of neuroimaging
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.822
H-Index - 64
eISSN - 1552-6569
pISSN - 1051-2284
DOI - 10.1111/j.1552-6569.2012.00705.x
Subject(s) - medicine , prospective cohort study , radiology , computed tomography angiography , carotid arteries , ultrasound , coronary artery disease , angiography , nuclear medicine
PURPOSE The purpose of this study was to identify imaging markers and clinical risk factors that significantly predict the evolution of computed tomography (CT) imaging features of carotid artery atherosclerotic disease over a 1‐year period. METHODS Our prospective study involved 120 consecutive patients undergoing emergent CT evaluation for symptoms of acute stroke. These patients were asked to consent to a follow‐up CT exam in 1 year. To evaluate for atherosclerotic plaque, both at baseline and on follow‐up, we employed a comprehensive computed tomography angiography (CTA) protocol that captured the carotid, vertebral, aortic, and coronary arteries. To further evaluate carotid artery plaque components, we used an automated classifier computer algorithm that distinguishes among the histological components of the carotid artery wall (lipids, calcium, fibrous tissue) based on appropriate thresholds of CT density. Baseline values of carotid imaging features and clinical variables were assessed for their ability to significantly predict changes in these imaging features over 1 year. RESULTS Of these 120 consecutive patients, 17 received both a baseline and a follow‐up CTA exam. Wall volume increased more when the largest lipid cluster was located close to the lumen (coefficient −7.61, −13.83 to −1.40, P = .016). The volume of lipid increased with age (coefficient .36, .21 to .50, P = .000), in smokers (coefficient 8.89, 6.82 to 10.95, P = .000) and when fewer lipid clusters were present at baseline (coefficient −0.11, −0.17 to −.04, P = .001). The volume of calcium increased with greater volume of lipid at baseline (coefficient .35, .02 to .68, P = .035) and in patients on statins (coefficient 4.79, 1.73 to 7.86, P = .002). CONCLUSIONS There are a number of imaging markers and risk factors that significantly predict the evolution of CT imaging features of carotid artery atherosclerotic disease over a 1‐year period.