The value of three-dimensional ultrasound in evaluating carotid artery plaquevolume and predicting risk events in coronary heart disease patients
10.7652/jdyxb201705017
- VernacularTitle:超声三维成像技术评估颈动脉斑块体积及其对冠心病患者发病风险的预测
- Author:
Yan SONG
;
Ying DANG
;
Jing SHANG
;
Bo LIU
;
Litao RUAN
- Keywords:
atherosclerotic plaque;
plaque volume;
three-dimensional imaging;
coronary heart disease;
Gensini score
- From:
Journal of Xi'an Jiaotong University(Medical Sciences)
2017;38(5):706-709
- CountryChina
- Language:Chinese
-
Abstract:
Objective To assess whether the plaque volume of carotid artery evaluated by three-dimensional ultrasound can predict the risk of cardiovascular events earlier in patients with coronary heart disease, in comparison with plaque thickness.Methods A total of 99 patients were enrolled, including 66 patients with asymptomatic carotid plaque and 33 patients with coronary heart disease (CHD) and carotid plaque.Three-dimensional ultrasound was performed in all the patients.Coronary angiography was performed in all the patients in CHD group.Coronary artery Gensini score was calculated.Plaque thickness, plaque area and plaque volume were compared between the two groups.We analyzed the relationship of plaque volume with Gensini score and other cardiovascular risk factors.Results Plaque volume was significantly higher in CHD group [(1312.38±513.70)mm3] than in asymptomatic group [(947.54±321.41)mm3] (P=0.023).However, plaque thickness and plaque area were not significantly different between the two groups (P>0.05).Plaque volume was positively correlated with Gensini score (r=0.519, P=0.002), homocysteine (r=0.569, P=0.002), and cardiovascular risk factors such as diabetes, blood glucose and glycosylated hemoglobin.There was a negative correlation between plaque volume and high-density lipoprotein (HDL), a factor protecting against cardiovascular events (r=-0.387, P=0.038).Conclusion Compared with plaque thickness, the volume of carotid plaques assessed by three-dimensional imaging technique may be a better predictor of the risk of cardiovascular events in patients with coronary heart disease.
