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    Hemodynamic Analysis of Implanted Medical Devices for Advanced Treatment Planning in Cardiovascular Diseases Using Computational Fluid Dynamics

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    https://www.riss.kr/link?id=T17198813

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    Cardiovascular diseases remain the leading cause of mortality worldwide, necessitating innovative treatment and prevention strategies. Implantable medical devices, such as artificial valves, pacemakers, and coronary stents, play a vital role in managing these conditions. However, hemodynamic changes induced by these devices have not been fully understood. This study applies computational fluid dynamics (CFD) to investigate two in cardiovascular treatment: (1) hemodynamic changes associated with percutaneous pulmonary valve implantation (PPVI) and their correlation with clinical outcomes, and (2) the effects of slip boundary conditions on thrombosis-related hemodynamic factors in pacemaker leads and coronary stents. In the first part, patient-specific CFD analysis was performed for nine Tetralogy of Fallot patients before and after PPVI. The analysis demonstrated approximately 60% reductions in vorticity, backward flow, and energy dissipation post-PPVI. Additionally, correlations were observed between pulmonary artery hemodynamics and clinical indices such as right ventricular end-diastolic volume index (RVEDVi), as well as among various hemodynamic CFD parameters. These findings demonstrate CFD's potential to enhance the evaluation of PPVI effectiveness and guide clinical decision- making. In the second part, a venous anatomical model with a pacemaker lead and a coronary artery model with a stent were developed to observe hemodynamic changes related to thrombosis. Slip surfaces were then applied to the surfaces of the implanted medical devices, and their effects on hemodynamics under physiological conditions were quantitatively analyzed. Slip surfaces improved hemodynamics, increasing wall shear stress (WSS) by up to 1.17-fold in the pacemaker model and reducing low WSS regions by 52% in the stent model. These results suggest that slip surfaces could mitigate complications and enhance device longevity. This study underscores the potential of CFD in optimizing cardiovascular medical device performance, offering valuable insights for advancing treatment strategies and improving the safety and efficacy of implantable devices under physiological conditions.
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    Cardiovascular diseases remain the leading cause of mortality worldwide, necessitating innovative treatment and prevention strategies. Implantable medical devices, such as artificial valves, pacemakers, and coronary stents, play a vital role in managi...

    Cardiovascular diseases remain the leading cause of mortality worldwide, necessitating innovative treatment and prevention strategies. Implantable medical devices, such as artificial valves, pacemakers, and coronary stents, play a vital role in managing these conditions. However, hemodynamic changes induced by these devices have not been fully understood. This study applies computational fluid dynamics (CFD) to investigate two in cardiovascular treatment: (1) hemodynamic changes associated with percutaneous pulmonary valve implantation (PPVI) and their correlation with clinical outcomes, and (2) the effects of slip boundary conditions on thrombosis-related hemodynamic factors in pacemaker leads and coronary stents. In the first part, patient-specific CFD analysis was performed for nine Tetralogy of Fallot patients before and after PPVI. The analysis demonstrated approximately 60% reductions in vorticity, backward flow, and energy dissipation post-PPVI. Additionally, correlations were observed between pulmonary artery hemodynamics and clinical indices such as right ventricular end-diastolic volume index (RVEDVi), as well as among various hemodynamic CFD parameters. These findings demonstrate CFD's potential to enhance the evaluation of PPVI effectiveness and guide clinical decision- making. In the second part, a venous anatomical model with a pacemaker lead and a coronary artery model with a stent were developed to observe hemodynamic changes related to thrombosis. Slip surfaces were then applied to the surfaces of the implanted medical devices, and their effects on hemodynamics under physiological conditions were quantitatively analyzed. Slip surfaces improved hemodynamics, increasing wall shear stress (WSS) by up to 1.17-fold in the pacemaker model and reducing low WSS regions by 52% in the stent model. These results suggest that slip surfaces could mitigate complications and enhance device longevity. This study underscores the potential of CFD in optimizing cardiovascular medical device performance, offering valuable insights for advancing treatment strategies and improving the safety and efficacy of implantable devices under physiological conditions.

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    목차 (Table of Contents)

    • 1. Introduction 1
    • 2. Patient-specific cardiovascular modeling and simulation 4
    • 2.1 Flow solvers 4
    • 2.1.1 Governing equations and numerical methods 4
    • 2.1.2 Slip boundary condition 5
    • 1. Introduction 1
    • 2. Patient-specific cardiovascular modeling and simulation 4
    • 2.1 Flow solvers 4
    • 2.1.1 Governing equations and numerical methods 4
    • 2.1.2 Slip boundary condition 5
    • 2.2 Patient-specific anatomic modeling 8
    • 2.3 Post-processing for hemodynamic analysis 11
    • 2.3.1 Wall shear stress 11
    • 2.3.2 Residence time 11
    • 2.3.3 Vorticity 12
    • 2.3.4 Energy dissipation 12
    • 3. Hemodynamics analysis on implanted medical devices 13
    • 3.1 Pulmonary artery model before and after PPVI 13
    • 3.1.1 Anatomic modeling 13
    • 3.1.2 Simulation details 14
    • 3.1.3 Results & Discussion 15
    • 3.2 Venous model with pacemaker lead 22
    • 3.2.1 Anatomic modeling 22
    • 3.2.2 Simulation details 23
    • 3.2.3 Results & Discussion 25
    • 3.3 Coronary artery model with a stent 29
    • 3.3.1 Anatomic modeling 29
    • 3.3.2 Simulation details 30
    • 3.3.3 Results & Discussion 32
    • 4. Discussion 36
    • 5. Conclusion 40
    • 6. References 41
    • 7. Acknowledgments 49
    • 8. Appendix 50
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