Department of Radiology, Medical Physics, University Medical Center Freiburg, Germany.
J Magn Reson Imaging. 2012 May;35(5):1162-8. doi: 10.1002/jmri.22856. Epub 2012 Jan 23.
To measure aortic pulse wave velocity (PWV) using flow-sensitive four-dimensional (4D) MRI and to evaluate test-retest reliability, inter- and intra-observer variability in volunteers and correlation with characteristics in patients with aortic atherosclerosis.
Flow-sensitive 4D MRI was performed in 12 volunteers (24 ± 3 years) and 86 acute stroke patients (68 ± 9 years) with aortic atherosclerosis. Retrospectively positioned 28 ± 4 analysis planes along the entire aorta (inter-slice-distance = 10 mm) and frame wise lumen segmentation yielded flow-time-curves for each plane. Global aortic PWV was calculated from time-shifts and distances between the upslope portions of all available flow-time curves.
Inter- and intra-observer variability of PWV measurements in volunteers (7% and 8%) was low while test-retest reliability (22%) was moderate. PWV in patients was significantly higher compared with volunteers (5.8 ± 2.9 versus 3.8 ± 0.8 m/s; P = 0.02). Among 17 patient characteristics considered, statistical analysis revealed significant (P < 0.05) but low correlation of PWV with age (r = 0.25), aortic valve insufficiency (r = 0.29), and pulse pressure (r = 0.28). Multivariate modeling indicated that aortic valve insufficiency and elevated pulse pressure were significantly associated with higher PWV (adjusted R(2) = 0.13).
Flow-sensitive 4D MRI allows for estimating aortic PWV with low observer dependence and moderate test-retest reliability. PWV in patients correlated with age, aortic valve insufficiency, and pulse pressure.
使用血流敏感四维(4D)MRI 测量主动脉脉搏波速度(PWV),并评估志愿者中的测试-重测信度、观察者内和观察者间变异性,以及与主动脉粥样硬化患者特征的相关性。
对 12 名志愿者(24±3 岁)和 86 名急性脑卒中患者(68±9 岁)进行血流敏感 4D MRI 检查。在整个主动脉(层间距=10mm)上回顾性定位 28±4 个分析层面,并逐帧进行管腔分割,为每个层面生成流量-时间曲线。从所有可用流量-时间曲线的上升斜率部分的时间移位和距离计算出整体主动脉 PWV。
志愿者中 PWV 测量的观察者内和观察者间变异性较低(7%和 8%),而测试-重测可靠性中等(22%)。与志愿者相比,患者的 PWV 明显更高(5.8±2.9 与 3.8±0.8m/s;P=0.02)。在考虑的 17 项患者特征中,统计分析显示 PWV 与年龄(r=0.25)、主动脉瓣关闭不全(r=0.29)和脉搏压(r=0.28)呈显著(P<0.05)但低度相关。多元建模表明,主动脉瓣关闭不全和升高的脉搏压与较高的 PWV 显著相关(调整 R²=0.13)。
血流敏感 4D MRI 可用于估计主动脉 PWV,具有较低的观察者依赖性和中等的测试-重测可靠性。患者的 PWV 与年龄、主动脉瓣关闭不全和脉搏压相关。