Computed tomography analysis of vulnerable carotid atherosclerotic plaque and relationship to clinical characteristics.

ObjectiveThe presence of atherosclerotic plaque components such as lipid rich necrotic core and intraplaque haemorrhage is associated with increased plaque vulnerability, and may be used to stratify the risk of future cerebrovascular events. Our aim was to investigate the relationship between selected carotid plaque components imaged with CTA, patient characteristics, and clinical outcomes. MethodsSymptomatic patients underwent carotid CTA as part of the BIOVASC study. Images were analysed for plaque volume composition with a semi-automatic Hounsfield Unit (HU)-based algorithm. Plaque components were classified based on their attenuation values: lipids <61 HU, fibrous tissue 61-129 HU and calcium >131 HU. Parametric and non-parametric tests were performed to compare plaque measurements to clinical characteristics and outcomes. ResultsOne-hundred and two symptomatic carotids were analysed (avg. age 69y, 54.9% Male, 29.4% severe stenosis). Mean plaque volume was 480{+/-}230 mm3, and the mean LRNC volume was 170{+/-}100 mm3. A difference in LRNC volume was identified between moderate and severe stenosis (190-150 mm3, p=0.012). Regression analysis showed that age and gender may predict increased plaque volume (p<0.001). A trend for reduced mean plaque LRNC was identified in patients receiving statins (130-210 mm3, p=0.08). Intra-reader reliability showed good agreement (0.62-0.78, p<0.001) between CTA plaque measurements. ConclusionsIn-vivo CTA plaque volume composition assessment is feasible with good intra-reader reliability. Our findings suggest that CTA-HU measurements may be used to provide improved mechanistic and diagnostic insights into atherosclerotic disease, and facilitate the quantification of selected plaque components whose presence may be associated with increased plaque vulnerability. Key PointsO_LIPlaque CTA Hounsfield Unit (HU) measurement and segmentation techniques can provide improved mechanistic and diagnostic insights into atherosclerotic disease. C_LIO_LIPlaque components characterisation using CTA HU measurements may help clinicians to identify patients presenting with high-risk vulnerable plaque. C_LIO_LICTA plaque volume composition assessment is feasible with good reliability observed between measurements taken at different time-points. C_LI