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Flow through a defective mechanical heart valve: a steady flow analysis.
1Mechanical and Industrial Engineering, Concordia University, Montreal, QC, Canada.
Medical Engineering & Physics
|August 19, 2008
Summary
Early detection of mechanical heart valve malfunction is crucial. This study developed new non-invasive parameters using simulations and imaging to identify valve issues and their impact on thrombus formation.
Area of Science:
- Biomedical Engineering
- Cardiovascular Research
- Medical Device Technology
Background:
- Mechanical heart valves (MHVs) are used in over two-thirds of 250,000 annual valve replacement surgeries worldwide.
- MHVs are susceptible to complications like pannus/thrombus formation and leaflet malfunction.
- Leaflet malfunction, though rare, is life-threatening, necessitating emergency surgery and early non-invasive diagnostic methods.
Purpose of the Study:
- To investigate the impact of mechanical heart valve malfunction severity on blood flow dynamics.
- To develop and test novel non-invasive parameters for early detection of MHV malfunction.
- To assess the effect of valve malfunction on platelet activation and thrombus formation.
Main Methods:
- Numerical simulations of blood flow through defective mechanical heart valves under various conditions.
- Utilizing Doppler echocardiography and phase contrast magnetic resonance imaging (PC-MRI) to test diagnostic parameters.
- Evaluating the influence of malfunction severity on flow patterns and pressure gradients.
Main Results:
- Flow patterns upstream and downstream of defective MHVs are significantly influenced by malfunction severity.
- A misleading improvement in correlation between simulated Doppler echocardiographic and catheter transvalvular pressure gradients was observed.
- Two novel non-invasive parameters for early MHV malfunction detection were proposed and tested.
- Valve malfunction was shown to significantly impact platelet activation and thrombus formation.
Conclusions:
- Non-invasive parameters using Doppler echocardiography and PC-MRI show promise for early detection of MHV malfunction.
- Understanding flow dynamics and their correlation with malfunction severity is key for diagnosis.
- MHV malfunction directly influences thrombogenicity, highlighting the need for monitoring.
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