Impact of Vein Wall Hyperelasticity and Blood Flow Turbulence on Hemodynamic Parameters in the Inferior Vena Cava with a Filter
Inferior vena cava (IVC) filters are vital in preventing pulmonary embolism (PE) by trapping large blood clots, especially in patients unsuitable for anticoagulation. In this study, the accuracy of two common simplifying assumptions in numerical studies of IVC filters—the rigid wall assumption and t...
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MDPI AG
2024-12-01
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author | Jafar Moradicheghamahi Debkalpa Goswami |
author_facet | Jafar Moradicheghamahi Debkalpa Goswami |
author_sort | Jafar Moradicheghamahi |
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description | Inferior vena cava (IVC) filters are vital in preventing pulmonary embolism (PE) by trapping large blood clots, especially in patients unsuitable for anticoagulation. In this study, the accuracy of two common simplifying assumptions in numerical studies of IVC filters—the rigid wall assumption and the laminar flow model—is examined, contrasting them with more realistic hyperelastic wall and turbulent flow models. Using fluid–structure interaction (FSI) and computational fluid dynamics (CFD) techniques, the investigation focuses on three hemodynamic parameters: time-averaged wall shear stress (TAWSS), oscillatory shear index (OSI), and relative residence time (RRT). Simulations are conducted with varying sizes of clots captured in the filter. The findings show that, in regions of high wall shear stress, the rigid wall model predicted higher TAWSS values, suggesting an increased disease risk compared to the hyperelastic model. However, the laminar and turbulent flow models did not show significant differences in TAWSS predictions. Conversely, in areas of low wall shear stress, the rigid wall model indicated lower OSI and RRT, hinting at a reduced risk compared to the hyperelastic model, with this discrepancy being more evident with larger clots. While the predictions for OSI and TAWSS were closely aligned for both laminar and turbulent flows, divergences in RRT predictions became apparent, especially in scenarios with very large clots. |
format | Article |
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institution | Kabale University |
issn | 2072-666X |
language | English |
publishDate | 2024-12-01 |
publisher | MDPI AG |
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series | Micromachines |
spelling | doaj-art-24f772e53ce448fab919f19af76e198f2025-01-24T13:41:57ZengMDPI AGMicromachines2072-666X2024-12-011615110.3390/mi16010051Impact of Vein Wall Hyperelasticity and Blood Flow Turbulence on Hemodynamic Parameters in the Inferior Vena Cava with a FilterJafar Moradicheghamahi0Debkalpa Goswami1Liryc-Electrophysiology and Heart Modeling Institute, Fondation Bordeaux Université, 33604 Pessac, FranceDepartment of Cardiovascular Medicine, Heart, Vascular & Thoracic Institute, Cleveland Clinic, Cleveland, OH 44195, USAInferior vena cava (IVC) filters are vital in preventing pulmonary embolism (PE) by trapping large blood clots, especially in patients unsuitable for anticoagulation. In this study, the accuracy of two common simplifying assumptions in numerical studies of IVC filters—the rigid wall assumption and the laminar flow model—is examined, contrasting them with more realistic hyperelastic wall and turbulent flow models. Using fluid–structure interaction (FSI) and computational fluid dynamics (CFD) techniques, the investigation focuses on three hemodynamic parameters: time-averaged wall shear stress (TAWSS), oscillatory shear index (OSI), and relative residence time (RRT). Simulations are conducted with varying sizes of clots captured in the filter. The findings show that, in regions of high wall shear stress, the rigid wall model predicted higher TAWSS values, suggesting an increased disease risk compared to the hyperelastic model. However, the laminar and turbulent flow models did not show significant differences in TAWSS predictions. Conversely, in areas of low wall shear stress, the rigid wall model indicated lower OSI and RRT, hinting at a reduced risk compared to the hyperelastic model, with this discrepancy being more evident with larger clots. While the predictions for OSI and TAWSS were closely aligned for both laminar and turbulent flows, divergences in RRT predictions became apparent, especially in scenarios with very large clots.https://www.mdpi.com/2072-666X/16/1/51inferior vena cava filterhyperelastic and rigid wall modelsturbulent and laminar flowhemodynamic parametersfluid structure interaction |
spellingShingle | Jafar Moradicheghamahi Debkalpa Goswami Impact of Vein Wall Hyperelasticity and Blood Flow Turbulence on Hemodynamic Parameters in the Inferior Vena Cava with a Filter Micromachines inferior vena cava filter hyperelastic and rigid wall models turbulent and laminar flow hemodynamic parameters fluid structure interaction |
title | Impact of Vein Wall Hyperelasticity and Blood Flow Turbulence on Hemodynamic Parameters in the Inferior Vena Cava with a Filter |
title_full | Impact of Vein Wall Hyperelasticity and Blood Flow Turbulence on Hemodynamic Parameters in the Inferior Vena Cava with a Filter |
title_fullStr | Impact of Vein Wall Hyperelasticity and Blood Flow Turbulence on Hemodynamic Parameters in the Inferior Vena Cava with a Filter |
title_full_unstemmed | Impact of Vein Wall Hyperelasticity and Blood Flow Turbulence on Hemodynamic Parameters in the Inferior Vena Cava with a Filter |
title_short | Impact of Vein Wall Hyperelasticity and Blood Flow Turbulence on Hemodynamic Parameters in the Inferior Vena Cava with a Filter |
title_sort | impact of vein wall hyperelasticity and blood flow turbulence on hemodynamic parameters in the inferior vena cava with a filter |
topic | inferior vena cava filter hyperelastic and rigid wall models turbulent and laminar flow hemodynamic parameters fluid structure interaction |
url | https://www.mdpi.com/2072-666X/16/1/51 |
work_keys_str_mv | AT jafarmoradicheghamahi impactofveinwallhyperelasticityandbloodflowturbulenceonhemodynamicparametersintheinferiorvenacavawithafilter AT debkalpagoswami impactofveinwallhyperelasticityandbloodflowturbulenceonhemodynamicparametersintheinferiorvenacavawithafilter |