Departamento de Ingeniería Energética, Escuela Técnica Superior de Ingenieros Industriales, Universidad Politécnica de Madrid, C/ José Gutiérrez Abascal 2, Madrid, Spain.
Departamento de Ingeniería Energética, Escuela Técnica Superior de Ingenieros Industriales, Universidad Politécnica de Madrid, C/ José Gutiérrez Abascal 2, Madrid, Spain.
Comput Biol Med. 2021 Jun;133:104423. doi: 10.1016/j.compbiomed.2021.104423. Epub 2021 Apr 24.
Recently, advances in medical imaging, segmentation techniques, and high-performance computing have supported the use of patient-specific computational fluid dynamics (CFD) simulations. At present, CFD-compatible atrium geometries can be easily reconstructed from atrium images, providing important insight into the atrial fibrillation (AF) phenomenon, and assistance during therapy selection and surgical procedures. However, the hypothesis assumed for such CFD models should be adequately validated.
This work aims to perform an extensive study of the different hypotheses that are commonly assumed when performing atrial simulations for AF patients, as well as to evaluate and compare the range of indices that are usually applied to assess thrombus formation within the left atrium appendage (LAA).
The atrial geometries of two AF patients have been segmented. The resulting geometries have been registered and interpolated to construct a dynamic mesh, which has been employed to compare the rigid and flexible models. Two families of hemodynamic indices have been calculated and compared: wall shear-based and blood age distribution-based.
The findings of this study illustrate the importance of validating the rigid atrium hypothesis when utilizing an AF CFD model. In particular, the absence of the A-wave contraction does not avoid a certain degree of passive atrial contraction, making the rigid model a poor approximation in some cases. Moreover, a new thrombosis predicting index has been proposed, i.e., M4, which has been shown to predict stasis more effectively than other indicators.
最近,医学成像、分割技术和高性能计算的进步支持了使用患者特定的计算流体动力学 (CFD) 模拟。目前,可以从心房图像中轻松重建与 CFD 兼容的心房几何形状,这为心房颤动 (AF) 现象提供了重要的见解,并有助于在治疗选择和手术过程中提供帮助。然而,对于此类 CFD 模型所假设的假设应该进行充分验证。
本研究旨在广泛研究在为 AF 患者进行心房模拟时通常假设的不同假设,并评估和比较通常用于评估左心耳 (LAA) 内血栓形成的指数范围。
对两名 AF 患者的心房几何形状进行了分割。对得到的几何形状进行了配准和插值,以构建一个动态网格,该网格用于比较刚性和柔性模型。计算并比较了两类血流动力学指数:壁面切应力和血液年龄分布。
本研究的结果说明了在使用 AF CFD 模型时验证刚性心房假设的重要性。特别是,没有 A 波收缩并不会避免一定程度的被动心房收缩,使得刚性模型在某些情况下是一个较差的近似。此外,还提出了一种新的血栓形成预测指数,即 M4,它比其他指标更有效地预测停滞。