We employ a biophysical modeling framework to augment the information obtained from cardiovascular MRI data of patients with chronic pulmonary valve regurgitation in order to assist in optimal timing of pulmonary valve replacement therapy (PVR). The longitudinal follow-up of patients post-PVR shows no significant change in ventricular ejection fraction. However, the model is able to detect a decreasing request on generation of active myocardial stress while not decreasing the cardiac output – presumably favorable with the long-term prognosis of the heart. Coupling biophysical modeling with MRI data has the potential to further augment the diagnostic value of MRI.
Introduction
CMR is an established gold-standard imaging method for the assessment of heart's function. Ventricular ejection fraction (EF) is considered as a measure of systolic function. The valvular insufficiency is typically quantified by the level of regurgitation fraction (RF). EF is however known to be dependent on the actual ventricular filling (preload) and the resistance of the circulation (afterload). Furthermore, atrio-ventricular regurgitation (AVR) increases EF without a sufficient output into the circulation. Finally, chronic ventricular volume overloading due to an incompetent outflow valve leads to ventricular dilation and an increase of end-diastolic volume (EDV) – an example of pathological ventricular remodeling. The overall interpretation of ventricular function is therefore intricate in complex cases, such as in repaired tetralogy of Fallot patients (rToF), who suffer from right ventricular (RV) volume and/or pressure overload due to chronic pulmonary regurgitation (PR), possible residual outflow tract stenosis, and additionally often tricuspid valve regurgitation (TR). The pulmonary valve replacement (PVR) is timed according to cut-offs in CMR-derived indices of EF, RF and EDV, however, with a limited sensitivity and specificity [1]. Therefore, new criteria need to be found.
The mechanical character of the cardiovascular system suggests employing biomechanical modeling. Cardiovascular modeling interacting with clinical data has already reached some proof-of-concept studies [2]. The computational intensity of complex 3D models is practically out of reach to be directly linked to an MRI console. Model-reduction proposed in [3] – which simplifies the geometry while keeping all physical and physiological assumptions – allows fast computation, and is therefore suitable for linking with a CMR post-processing unit. As presented in [4,5], such a model calibrated to individual patients (including complex cases with a combined PR, TR and reduced EF) allows to access e.g. the mechanical quantitates of ventricular contractility (the active stress generated by the myocardium, i.e. the objective measure of ventricular systolic function not directly visible in image data). The presented work builds on [5], and adds the longitudinal CMR either preceding PVR or follow-up scans 6 months post-PVR. The RV remodeling and reverse-remodeling (observed in the scans) can be characterized – additionally to the CMR derived metrics – by biomechanical quantities, which might play a role in patient management and optimal PVR timing.
Results
Fig 2. shows a systematic trend of a decrease of myocardial contractility observed immediately after deploying the valve, and a decrease of the resistance in the pulmonary circulation. Tables in Fig. 3 then demonstrate the evolution of the quantities directly obtained from CMR and of biomechanical properties accessed thanks to modelling in three longitudinally followed patients.Discussions
The model-suggested decrease of myocardial contractility after PVR would mean the heart functioning on a more favorable level: providing an adequate cardiac output into the circulation (in fact, even 20-50% higher than during the chronic pulmonary regurgitation [6]) with lower energy needs. The model suggests that the RV contractility is decreasing further 6 months after PVR, where we observe a reverse-remodeling of RV (normalisation of volumes). The immediate decrease of pulmonary vascular resistance might be associated with effectively higher flow through the pulmonary circulation, while the pulmonary pressures did not raise. On the contrary, the CMR derived EF would suggest a worsening of the cardiac function.
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