Gregg Sekou, Li Terry Y, Hétu Marie-France, Pang Stephen C, Ewart Paul, Johri Amer M
Division of Cardiology, Department of Biomedical and Molecular Sciences, Queen's University, Kingston, ON, Canada.
Division of Cardiology, Department of Medicine, Queen's University, Kingston, ON, Canada.
Int J Cardiovasc Imaging. 2018 Jul;34(7):1081-1090. doi: 10.1007/s10554-018-1319-z. Epub 2018 Feb 20.
The carotid bifurcation is a common site of atherosclerotic plaque. Plaque development is thought to occur preferentially at geometrically predisposed areas such as arterial branch points. The aim of this study was to investigate the geometric and anatomical variables that contribute to the development of carotid plaque using three-dimensional (3D) ultrasound. Sixty-seven consecutive outpatients referred for elective coronary angiography underwent 3D carotid ultrasound scans for the purpose of carotid plaque quantification. Geometric quantification of the left and right carotid bulbs were performed retrospectively on this study population. Geometric values such as angle, area and length of the carotid bulb and the bifurcation were determined using QLAB software (Philips Healthcare). Plaque volume within the carotid bulb and artery branches was quantified using the stacked contour method. Pearson's correlation and linear regression analysis were used to determine the relationship between anatomical variables and plaque volume. The mean age for the total patient population was 65.9 ± 11.5 years. Carotid bulb inflow area (BIA) (r = 0.28, p = 0.001), bulb volume (BV) (r = 0.21, p = 0.01) and bifurcation angle (BifA) (r = 0.18, p = 0.04) showed a positive linear relationship with plaque volume. In contrast, internal carotid artery angle (ICAA) (r = - 0.18, p = 0.04) and bulb flare (r = - 0.20, p = 0.02) displayed a negative linear relationship with plaque volume. When adjusting for age and sex, only the BIA remained significant (β = 0.18, p = 0.04). Geometric variables were identified as potential risk factors associated with plaque volume in the carotid bulb. Further analysis of the evolution of the BIA as well as the relationship to other geometric variables could create a stronger predictive model of atherosclerosis as well as assist in preoperative planning.
颈动脉分叉处是动脉粥样硬化斑块的常见部位。斑块形成被认为优先发生在几何形状易发生病变的区域,如动脉分支点。本研究的目的是使用三维(3D)超声研究导致颈动脉斑块形成的几何和解剖学变量。67名连续接受择期冠状动脉造影的门诊患者接受了3D颈动脉超声扫描,以进行颈动脉斑块定量分析。对该研究人群回顾性地进行了左右颈动脉球部的几何定量分析。使用QLAB软件(飞利浦医疗保健公司)确定颈动脉球部和分叉处的角度、面积和长度等几何值。使用叠加轮廓法对颈动脉球部和动脉分支内的斑块体积进行定量分析。采用Pearson相关性分析和线性回归分析来确定解剖学变量与斑块体积之间的关系。患者总体平均年龄为65.9±11.5岁。颈动脉球部流入面积(BIA)(r = 0.28,p = 0.001)、球部体积(BV)(r = 0.21,p = 0.01)和分叉角度(BifA)(r = 0.18,p = 0.04)与斑块体积呈正线性关系。相比之下,颈内动脉角度(ICAA)(r = -0.18,p = 0.04)和球部扩张(r = -0.20,p = 0.02)与斑块体积呈负线性关系。在对年龄和性别进行校正后,只有BIA仍然具有统计学意义(β = 0.18,p = 0.04)。几何变量被确定为与颈动脉球部斑块体积相关的潜在危险因素。进一步分析BIA的演变以及与其他几何变量的关系,可能会建立一个更强的动脉粥样硬化预测模型,并有助于术前规划。