Abstract

The extensive use of transcatheter devices has resulted in a paradigm shift in the clinical workflow for structural heart intervention. Pre-procedural planning, procedural guidance and follow-up care are critical to the success of these interventions. With a growing number of transcatheter heart valves available and a host of adverse outcomes to avoid, current decision-making processes are guided by clinical imaging, with 3D printing and image-based virtual simulation being recently adopted. However, these modalities cannot adequately capture or predict the dynamic interaction between implanted transcatheter devices and native anatomy. Thus, in silico models can be integrated as an additional tool to support the clinical decision-making processes. This lecture will provide an overview of recent advances in patient-specific in silico modelling of THV interventions and highlight the potential for clinical imaging with simulations to aid clinicians in patient selection and planning for transcatheter replacements of the aortic, mitral, and tricuspid valves.