Yang Woo-In, Kang Ki-Woon, Lee Hye Young, Shim Chi-Young, Hong Geu-Ru, Chung Namsik, Ha Jong-Won
Department of Cardiology, CHA Bundang Medical Center, CHA University, Sungnam, Republic of Korea.
Cardiology Division, Severance Cardiovascular Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea.
Int J Cardiovasc Imaging. 2018 Jun;34(6):893-902. doi: 10.1007/s10554-018-1301-9. Epub 2018 Jan 11.
Although increased carotid intima-media thickness (IMT) is a well-known risk factor for stroke, carotid IMT alone is not sufficient for risk stratification. The assessment of arterial properties using velocity vector imaging (VVI) represents a new method for quantifying structural changes. We sought to investigate the characteristics and the clinical value of carotid arterial mechanics using VVI in patients with stroke. Fifty male patients (55 ± 5 years) with stroke, 30 healthy age-matched volunteers (54 ± 8 years), and 30 healthy young male volunteers (29 ± 5 years) were evaluated. The peak circumferential strain, strain rate, and the standard deviation of the time to peak strain and strain rate, representing the synchronicity of the arterial expansion, were analyzed using VVI of the left common carotid artery. The circumferential strain and strain rate significantly decreased with age, and patients with stroke showed the lowest degree of strain and strain rate compared with healthy age-matched volunteers. In addition, patients with stroke showed decreased strain and strain rate even in participants with a normal carotid IMT (< 0.8 mm). Although carotid IMT did not improve the incremental predictive value of stroke over that of multiple clinical risk factors (diabetes mellitus, hypertension, coronary artery disease, smoking), adding carotid arterial strain and strain rate provided an incremental predictive value over both multiple risk factors and carotid IMT for stroke. Along with assessment of conventional risk factors, VVI analysis could provide improved risk stratification for stroke.
尽管颈动脉内膜中层厚度(IMT)增加是众所周知的中风风险因素,但仅颈动脉IMT不足以进行风险分层。使用速度矢量成像(VVI)评估动脉特性是一种量化结构变化的新方法。我们试图研究使用VVI评估中风患者颈动脉力学的特征及临床价值。对50例男性中风患者(55±5岁)、30例年龄匹配的健康志愿者(54±8岁)和30例年轻男性健康志愿者(29±5岁)进行了评估。使用左颈总动脉的VVI分析峰值圆周应变、应变率以及峰值应变和应变率时间的标准差,后者代表动脉扩张的同步性。圆周应变和应变率随年龄显著降低,与年龄匹配的健康志愿者相比,中风患者的应变和应变率程度最低。此外,即使在颈动脉IMT正常(<0.8mm)的参与者中,中风患者的应变和应变率也降低。尽管颈动脉IMT并没有提高中风相对于多种临床风险因素(糖尿病、高血压、冠状动脉疾病、吸烟)的增量预测价值,但增加颈动脉应变和应变率相对于多种风险因素和颈动脉IMT对中风都提供了增量预测价值。除了评估传统风险因素外,VVI分析可为中风提供更好的风险分层。