Key result
Patient-specific multiscale computational framework successfully simulates post-operative conditions in a single ventricle model.
Case Report (n=1)
A patient-specific multiscale computational model can simulate post-operative conditions in single-ventricle disease, offering a potential tool for surgical planning.
Patient-specific multiscale modeling may inform single-ventricle surgical planning; leaves open prospective clinical validation before adoption.
Complex congenital heart disease characterized by the underdevelopment of one ventricular chamber (single ventricle (SV) circulation) is normally treated with a three-stage surgical repair. This study aims at developing a multiscale computational framework able to couple a patient-specific three-dimensional finite-element model of the SV to a patient-specific lumped parameter (LP) model of the whole circulation, in a closed-loop fashion. A sequential approach was carried out: (i) cardiocirculatory parameters were estimated by using a fully LP model; (ii) ventricular material parameters and unloaded geometry were identified by means of the stand-alone, three-dimensional model of the SV; and (iii) the three-dimensional model of SV was coupled to the LP model of the circulation, thus closing the loop and creating a multiscale model. Once the patient-specific multiscale model was set using pre-operative clinical data, the virtual surgery was performed, and the post-operative conditions were simulated. This approach allows the analysis of local information on ventricular function as well as global parameters of the cardiovascular system. This methodology is generally applicable to patients suffering from SV disease for surgical planning at different stages of treatment. As an example, a clinical case from stage 1 to stage 2 is considered here.
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Meoli et al. (2015) conducted a case report in Complex congenital heart disease with single ventricle circulation (n=1). Multiscale computational framework (virtual surgery simulation) was evaluated on Development and application of a multiscale computational framework. A patient-specific multiscale computational framework successfully coupled a 3D finite-element model of the single ventricle to a lumped parameter model to simulate post-operative conditions.
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