Why the study?
Thrombus and pannus formations commonly cause bileaflet mechanical heart valve leaflet dysfunction, a life-threatening complication whose induced downstream aortic flow disturbances and detection methods required investigation.
Can analysis of normalized axial velocity profiles detect and differentiate configurations of bileaflet mechanical heart valve dysfunction in an experimental model?
Can analysis of normalized axial velocity profiles detect and differentiate configurations of bileaflet mechanical heart valve dysfunction in an experimental model?
Analysis of normalized axial velocity profiles in the ascending aorta can detect and differentiate configurations of bileaflet mechanical heart valve dysfunction in an experimental model, suggesting a potential approach using phase-contrast MRI.
Answers are grounded in this paper and cite their sources.
Normalized axial velocity analysis may enable noninvasive detection of mechanical valve dysfunction; leaves open clinical translation from this animal model.
Mechanical heart valve replacement is the preferred alternative in younger patients with severe symptomatic aortic valve disease. However, thrombus and pannus formations are common complications associated with bileaflet mechanical heart valves. This leads to risks of valve leaflet dysfunction, a life-threatening event. In this experimental study, we investigate, using time-resolved planar particle image velocimetry, the flow characteristics in the ascending aorta in the presence of a dysfunctional bileaflet mechanical heart valve. Several configurations of leaflet dysfunction are investigated and the induced flow disturbances in terms of velocity fields, viscous energy dissipation, wall shear stress, and accumulation of viscous shear stresses are evaluated. We also explore the ability of a new set of parameters, solely based on the analysis of the normalized axial velocity profiles in the ascending aorta, to detect bileaflet mechanical heart valve dysfunction and differentiate between the different configurations tested in this study. Our results show that a bileaflet mechanical heart valve dysfunction leads to a complex spectrum of flow disturbances with each flow characteristic evaluated having its own worst case scenario in terms of dysfunction configuration. We also show that the suggested approach based on the analysis of the normalized axial velocity profiles in the ascending aorta has the potential to clearly discriminate not only between normal and dysfunctional bilealfet heart valves but also between the different leaflet dysfunction configurations. This approach could be easily implemented using phase-contrast MRI to follow up patients with bileaflet mechanical heart valves.
No takes yet. Share an insight, caveat, or question.
Darwish et al. (2019) studied this question.
Synapse has enriched 10 related papers. Consider them for comparative context: