Herold Volker, Parczyk Marco, Mörchel Philipp, Ziener Christian H, Klug Gert, Bauer Wolfgang R, Rommel Eberhard, Jakob Peter M
Julius-Maximilians-Universität Würzburg, Lehrstuhl für Experimentelle Physik 5, Würzburg, Germany.
Magn Reson Med. 2009 Jun;61(6):1293-9. doi: 10.1002/mrm.21957.
Transgenic mouse models of human diseases have gained increasing importance in the pathophysiology of cardiovascular diseases (CVD). As an indirect measure of vascular stiffness, aortic pulse-wave velocity (PWV) is an important predictor of cardiovascular risk. This study presents an MRI approach that uses a flow area method to estimate local aortic pulse-wave velocity at different sites in the murine aorta. By simultaneously measuring the cross-sectional area and the through-plane velocity with a phase-contrast CINE method, it was possible to measure average values for the PWV in the ascending and descending aorta within the range of 2.4-4.3 m/s for C57BL/6J mice (ages 2 and 8 months) and apoE-knockout mice (age 8 months). Statistically significant differences of the mean values of the PWV of both groups could be determined. By repeating CINE measurements with a time delay of 1 ms between two subsequent data sets, an effective temporal resolution of 1000 frames/s (fps) could be achieved.
人类疾病的转基因小鼠模型在心血管疾病（CVD）的病理生理学中变得越来越重要。作为血管僵硬度的间接测量指标，主动脉脉搏波速度（PWV）是心血管风险的重要预测因子。本研究提出了一种MRI方法，该方法使用血流面积法来估计小鼠主动脉不同部位的局部主动脉脉搏波速度。通过使用相位对比电影（CINE）方法同时测量横截面积和平面内速度，可以测量C57BL/6J小鼠（2个月和8个月大）和载脂蛋白E基因敲除小鼠（8个月大）升主动脉和降主动脉内PWV的平均值，范围为2.4-4.3米/秒。可以确定两组PWV平均值的统计学显著差异。通过在两个连续数据集之间延迟1毫秒重复进行CINE测量，可以实现1000帧/秒（fps）的有效时间分辨率。
