Why the study?
To test a patient-specific CFD workflow based on the Chimera technique that overcomes prior convergence issues, and investigate whether torsional motion impacts LV fluid dynamics.
Does torsional motion impact LV fluid dynamics in patient-specific CFD models?
Does torsional motion impact LV fluid dynamics in patient-specific CFD models?
Physiological levels of torsion have minimal impact on LV fluid dynamics in CFD models, suggesting its implementation may be discarded in such simulations.
Physiological torsion minimally affects LV fluid dynamics in animal CFD models; leaves open necessity in human simulations.
Image-based patient-specific Computational Fluid Dynamics (CFD) models of the Left Ventricle (LV) can be used to quantify hemodynamics-based biomarkers that can support the clinicians in the early diagnosis, follow-up and treatment planning of patients, beyond the capabilities of the current imaging modalities. We propose a workflow to build patient-specific CFD models of the LV with moving boundaries based on the Chimera technique to overcome the convergence issues previously encountered by means of the Arbitrarian Lagrangian Eulerian approach. The workflow was tested while investigating whether the torsional motion has an impact on LV fluid dynamics. Starting from 3D cine MRI scans of a healthy volunteer, six cardiac cycles were simulated in three CFD LV models: with no, physiological, and exaggerated torsion. The Chimera technique was robust in handling the impulsive motion of the LV endocardium, allowing to notice cycle-to-cycle variations in every simulated case. Torsion affected slightly velocity, vorticity, WSS. It did not affect energy loss and induced a double-sided effect in terms of residence time: the particles ejected in one beat decreased, whereas the motility of the particles remaining in the LV was affected only in the exaggerated torsion case, indicating that implementation of torsion can be discarded in case of physiological levels. Nonetheless, caution is warranted when interpreting these results given the absence of the mitral valve, the papillary muscles, and the trabeculae. The effects of the mitral valve will be evaluated within an Fluid Structure Interaction simulation framework as further development of the current model.
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Canè et al. (2019) studied this question.
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