Secondary mitral valve regurgitation: hemodynamic and numerical insights towards a patient-tailored approach. (R-9961)

Secondary mitral regurgitation (MR) is a clinical entity with poor prognosis and defective treatment options. Its pathophysiology is grounded on left ventricular (LV) dysfunction or alterations in geometry. Despite the utterly high prevalence of secondary MR, so far no single treatment has been able to prove survival benefit. This may reflect the fact that the underlying mechanics in the pathophysiology of secondary MR are typically multifactorial. Hence, consensus is growing that a patient-tailored approach is imperative. Computational models could answer this need by providing more comprehensive insights in terms of mitral valve three-dimensional (3D) geometry and dynamics during physiological loading conditions. In addition, these models pave the way for pre-intervention simulation of various therapeutic strategies, thereby selecting the single-best approach for each patient separately. However, current computational models lack thorough validation in this setting. Therefore, the goal of this ambitious project is to (1) validate a mitral valve numerical computational model in healthy ovine valves (2) evaluate the impact of certain dysfunctional valvular adaptations in the context of secondary MR (3) validate its clinical potential in predicting mitral valve dynamics in the context of secondary MR. (4) utilize this model to virtually perform a possible therapeutic (surgical/endovascular) intervention and evaluate the impact hereof on mitral valve function and dynamics.

Keywords:patient safety

Disciplines:Cardiology