Di Lascio Nicole, Kusmic Claudia, Stea Francesco, Faita Francesco
Institute of Life Science, Scuola Superiore Sant'Anna; Institute of Clinical Physiology, National Research Council;
Institute of Clinical Physiology, National Research Council.
J Vis Exp. 2017 Feb 14(120):54362. doi: 10.3791/54362.
Arterial stiffness can be evaluated by calculating pulse wave velocity (PWV), i.e., the speed with which the pulse wave travels in a conduit vessel. This parameter is being increasingly investigated in small rodent models in which it is used for assessing alterations in vascular function related to particular genotypes/treatments or for characterizing cardiovascular disease progression. This protocol describes an image processing algorithm which leads to non-invasive arterial PWV measurement in mice using ultrasound (US) images only. The proposed technique has been used to assess abdominal aorta PWV in mice and evaluate its age-associated changes. Abdominal aorta US scans are obtained from mice under gaseous anesthesia using a specific US device equipped with high-frequency US probes. B-mode and Pulse-Wave Doppler (PW-Doppler) images are analyzed in order to obtain diameter and mean velocity instantaneous values, respectively. For this purpose, edge detection and contour tracking techniques are employed. The single-beat mean diameter and velocity waveforms are time aligned and combined in order to achieve the diameter-velocity (lnD-V) loop. PWV values are obtained from the slope of the linear part of the loop, which corresponds to the early systolic phase. With the present approach, anatomical and functional information about the mouse abdominal aorta can be non-invasively achieved. Requiring the processing of US images only, it may represent a useful tool for the non-invasive characterization of different arterial sites in the mouse in terms of elastic properties. The application of the present technique can be easily extended to other vascular districts, such as the carotid artery, thus providing the possibility to obtain a multi-site arterial stiffness assessment.
动脉僵硬度可通过计算脉搏波速度(PWV)来评估,即脉搏波在传导血管中传播的速度。在小型啮齿动物模型中,对该参数的研究越来越多,在这些模型中,它被用于评估与特定基因型/治疗相关的血管功能改变,或用于表征心血管疾病的进展。本方案描述了一种图像处理算法,该算法仅使用超声(US)图像就能对小鼠进行无创动脉PWV测量。所提出的技术已被用于评估小鼠腹主动脉PWV,并评估其与年龄相关的变化。使用配备高频超声探头的特定超声设备,在气体麻醉下从小鼠获取腹主动脉超声扫描图像。分别分析B模式和脉冲波多普勒(PW-多普勒)图像,以获得直径和平均速度的瞬时值。为此,采用边缘检测和轮廓跟踪技术。将单搏平均直径和速度波形进行时间对齐并合并,以获得直径-速度(lnD-V)环。PWV值从环的线性部分的斜率获得,该线性部分对应于早期收缩期。采用本方法,可以无创地获取小鼠腹主动脉的解剖和功能信息。由于仅需要处理超声图像,它可能是一种用于从小鼠不同动脉部位的弹性特性方面进行无创表征的有用工具。本技术的应用可以很容易地扩展到其他血管区域,如颈动脉,从而提供了获得多部位动脉僵硬度评估的可能性。