Department of Radiology, University of Florida College of Medicine, Jacksonville, Florida, USA.
J Cardiovasc Magn Reson. 2010 May 11;12(1):26. doi: 10.1186/1532-429X-12-26.
The assessment of arterial stiffness is increasingly used for evaluating patients with different cardiovascular diseases as the mechanical properties of major arteries are often altered. Aortic stiffness can be noninvasively estimated by measuring pulse wave velocity (PWV). Several methods have been proposed for measuring PWV using velocity-encoded cardiovascular magnetic resonance (CMR), including transit-time (TT), flow-area (QA), and cross-correlation (XC) methods. However, assessment and comparison of these techniques at high field strength has not yet been performed. In this work, the TT, QA, and XC techniques were clinically tested at 3 Tesla and compared to each other.
Fifty cardiovascular patients and six volunteers were scanned to acquire the necessary images. The six volunteer scans were performed twice to test inter-scan reproducibility. Patient images were analyzed using the TT, XC, and QA methods to determine PWV. Two observers analyzed the images to determine inter-observer and intra-observer variabilities. The PWV measurements by the three methods were compared to each other to test inter-method variability. To illustrate the importance of PWV using CMR, the degree of aortic stiffness was assessed using PWV and related to LV dysfunction in five patients with diastolic heart failure patients and five matched volunteers.
The inter-observer and intra-observer variability results showed no bias between the different techniques. The TT and XC results were more reproducible than the QA; the mean (SD) inter-observer/intra-observer PWV differences were -0.12(1.3)/-0.04(0.4) for TT, 0.2(1.3)/0.09(0.9) for XC, and 0.6(1.6)/0.2(1.4) m/s for QA methods, respectively. The correlation coefficients (r) for the inter-observer/intra-observer comparisons were 0.94/0.99, 0.88/0.94, and 0.83/0.92 for the TT, XC, and QA methods, respectively. The inter-scan reproducibility results showed low variability between the repeated scans (mean (SD) PWV difference = -0.02(0.4) m/s and r = 0.96). The inter-method variability results showed strong correlation between the TT and XC measurements, but less correlation with QA: r = 0.95, 0.87, and 0.89, and mean (SD) PWV differences = -0.12(1.0), 0.8(1.7), and 0.65(1.6) m/s for TT-XC, TT-QA, and XC-QA, respectively. Finally, in the group of diastolic heart failure patient, PWV was significantly higher (6.3 +/- 1.9 m/s) than in volunteers (3.5 +/- 1.4 m/s), and the degree of LV diastolic dysfunction showed good correlation with aortic PWV.
In conclusion, while each of the studied methods has its own advantages and disadvantages, at high field strength, the TT and XC methods result in closer and more reproducible aortic PWV measurements, and the associated image processing requires less user interaction, than in the QA method. The choice of the analysis technique depends on the vessel segment geometry and available image quality.
评估动脉僵硬度越来越多地用于评估患有不同心血管疾病的患者,因为主要动脉的机械性能经常发生改变。脉搏波速度(PWV)可无创估计主动脉僵硬度。已经提出了几种使用速度编码心血管磁共振(CMR)测量 PWV 的方法,包括渡越时间(TT)、流量-面积(QA)和互相关(XC)方法。然而,尚未在高场强下评估和比较这些技术。在这项工作中,在 3T 下对 TT、QA 和 XC 技术进行了临床测试,并相互比较。
对 50 名心血管病患者和 6 名志愿者进行扫描以获取必要的图像。对 6 名志愿者的扫描进行了两次,以测试扫描间的可重复性。使用 TT、XC 和 QA 方法分析患者图像以确定 PWV。两名观察者分析图像以确定观察者间和观察者内的可变性。将三种方法的 PWV 测量值相互比较以测试方法间的可变性。为了说明 CMR 中 PWV 的重要性,使用 PWV 评估了 5 名舒张性心力衰竭患者和 5 名匹配志愿者的主动脉僵硬度程度,并与 LV 功能障碍相关。
观察者间和观察者内的可变性结果表明,不同技术之间没有偏差。TT 和 XC 的结果比 QA 更具可重复性;TT、XC 和 QA 方法的观察者间/观察者内 PWV 差异的平均值(标准差)分别为-0.12(1.3)/0.04(0.4)、0.2(1.3)/0.09(0.9)和 0.6(1.6)/0.2(1.4)m/s。观察者间/观察者内比较的相关系数(r)分别为 0.94/0.99、0.88/0.94 和 0.83/0.92。重复扫描的可重复性结果显示出较低的变异性(平均(SD)PWV 差异=-0.02(0.4)m/s 和 r=0.96)。方法间可变性结果显示 TT 和 XC 测量值之间具有很强的相关性,但与 QA 的相关性较低:r=0.95、0.87 和 0.89,平均(SD)PWV 差异=-0.12(1.0)、0.8(1.7)和 0.65(1.6)m/s,用于 TT-XC、TT-QA 和 XC-QA。最后,在舒张性心力衰竭患者组中,PWV 明显高于志愿者(6.3+/-1.9 m/s)(3.5+/-1.4 m/s),并且 LV 舒张功能障碍的程度与主动脉 PWV 具有良好的相关性。
总之,虽然研究的每种方法都有其自身的优点和缺点,但在高场强下,TT 和 XC 方法导致更接近和更可重复的主动脉 PWV 测量,并且相关的图像处理需要更少的用户交互,比 QA 方法。分析技术的选择取决于血管节段的几何形状和可用的图像质量。