Mathematical Biology and Physiology, Department of Electronics and Telecommunications, Politecnico di Torino, Torino, Italy.
Department of Medical Sciences, University of Torino, Torino, Italy.
Ultrasound Med Biol. 2019 May;45(5):1338-1343. doi: 10.1016/j.ultrasmedbio.2018.10.024. Epub 2019 Feb 8.
Pulsatility of the inferior vena cava (IVC) provides information on volume status in healthy subjects and in many clinical conditions. The ultrasound (US) approach to estimating the caval index (CI) is not standardized, as it is operator dependent and vulnerable to measurement errors because of different factors, including movements of the IVC and non-uniform IVC pulsatility along its longitudinal axis. We propose and test in healthy subjects an innovative automated approach, which tracks the IVC movements registered in a B-mode US video clip and estimates the pulsatility of an entire portion of the vein rather than of a single arbitrary section. Large variations in CI estimates were observed along the longitudinal axis (in the worst case, CI ranged between 15% and 60%), indicating the importance of investigating a whole portion of the vessel.
下腔静脉（IVC）的搏动提供了健康受试者和许多临床情况下容量状态的信息。超声（US）评估腔静脉指数（CI）的方法没有标准化，因为它依赖于操作者，并且由于多种因素容易出现测量误差，包括 IVC 的运动和 IVC 沿其长轴的非均匀搏动。我们在健康受试者中提出并测试了一种创新的自动方法，该方法跟踪 B 型 US 视频片段中记录的 IVC 运动，并估计整个静脉段而不是单个任意段的搏动。在沿长轴的 CI 估计值中观察到很大的变化（在最坏的情况下，CI 在 15%到 60%之间），表明调查整个血管段的重要性。
