Potential Applications of Computational Fluid Dynamics for Predicting Hemolysis in Mitral Paravalvular Leaks.
Michał KozłowskiKrzysztof WojtasWojciech OrciuchMarek JędrzejekGrzegorz SmolkaWojciech WojakowskiŁukasz MakowskiPublished in: Journal of clinical medicine (2021)
Paravalvular leaks (PVLs) may lead to hemolysis. In vitro shear stress forces above 300 Pa cause erythrocyte destruction. PVL channel dimensions may determine magnitude of shear stress forces that affect erythrocytes; however, this has not been tested. It remains unclear how different properties of PVL channels contribute to presence of hemolysis. A model of a left ventricle was created based on data from computer tomography with Slicer software PVLs of various shapes and sizes were introduced. Blood flow was simulated using ANSYS Fluent software. The following variables were examined: wall shear stress, shear stress in fluid, volume of PVL channel with shear stress exceeding 300 Pa, and duration of exposure of erythrocytes to shear stress values above 300 Pa. In all models, shear stress forces exceeded 300 Pa. Shear stress increased with blood flow rates and cross-sectional areas of any PVL. There was no linear relationship between cross-sectional area of a PVL and volume of a PVL channel with shear stress > 300 Pa. Blood flow through mitral PVLs is associated with shear stress above 300 Pa. Cross-sectional area of a PVL does not correlate with volume of a PVL channel with shear stress > 300 Pa and duration of exposure of erythrocytes to shear stress > 300 Pa.
Keyphrases
- blood flow
- cross sectional
- mitral valve
- left ventricular
- transcatheter aortic valve replacement
- pulmonary hypertension
- left atrial
- machine learning
- aortic stenosis
- coronary artery disease
- red blood cell
- pulmonary arterial hypertension
- coronary artery
- pulmonary artery
- deep learning
- aortic valve
- artificial intelligence
- human health
- electron microscopy