We carry out computational simulations of the Valsalva compression of an inferior vena cava (IVC) with a filter implanted in it. We find that when we treat the IVC wall as simply a boundary between 2 fluids and apply an external pressure on the IVC, the deformation magnitudes and patterns do not agree with data in the literature. We conclude that IVC compression is mainly caused by solid bodies (i.e. tissue and organs) compressing the IVC, and develop a model to simulate this phenomenon. We calibrate our model to data in the literature for Valsalva compression with and without an implanted filter. We then use our approach to predict the area reduction of the IVC during breathing when 2 different types of filters are implanted. Not surprisingly, we find that a compliant filter is less able to resist the compression of the IVC during respiration than a stiffer one, and we quantify the difference. We anticipate that, with further development, our model can be used to make assessments of design and testing parameters that can help to avoid fatigue failure of a filter that is subjected to millions of compressions due to breathing.

我们对植入过滤器的下腔静脉 (IVC) 进行 Valsalva 压缩的计算模拟。我们发现，当我们将 IVC 壁简单地视为 2 种流体之间的边界并对 IVC 施加外部压力时，变形幅度和模式与文献中的数据不一致。我们得出结论，IVC 受压主要是由实体（即组织和器官）压缩 IVC 引起的，并开发了一个模型来模拟这种现象。我们将我们的模型校准到文献中关于有和没有植入过滤器的 Valsalva 压缩的数据。然后，当植入 2 种不同类型的过滤器时，我们使用我们的方法来预测呼吸期间 IVC 的面积减少。不出所料，我们发现，与较硬的过滤器相比，柔性过滤器在呼吸期间抵抗 IVC 压缩的能力较差，我们量化了差异。我们预计，随着进一步的发展，我们的模型可用于评估设计和测试参数，这有助于避免因呼吸而受到数百万次压缩的过滤器的疲劳失效。