A computational model of open-irrigated radiofrequency catheter ablation accounting for mechanical properties of the cardiac tissue

TL;DR

This paper presents a 3D computational model for radiofrequency catheter ablation that incorporates tissue elasticity and deformation, aiming to improve lesion size prediction accuracy over traditional models that assume sharp electrode insertion.

Contribution

The study introduces a novel 3D model accounting for tissue mechanical properties, enhancing the realism of lesion prediction in RFCA procedures.

Findings

Model accurately predicts tissue deformation during ablation.

Deformation-aware model yields different lesion sizes compared to classical models.

Validation shows improved agreement with experimental data.

Abstract

Radiofrequency catheter ablation (RFCA) is an effective treatment for cardiac arrhythmias. Although generally safe, it is not completely exempt from the risk of complications. The great flexibility of computational models can be a major asset in optimizing interventional strategies, if they can produce sufficiently precise estimations of the generated lesion for a given ablation protocol. This requires an accurate description of the catheter tip and the cardiac tissue. In particular, the deformation of the tissue under the catheter pressure during the ablation is an important aspect that is overlooked in the existing literature, that resorts to a sharp insertion of the catheter into an undeformed geometry. As the lesion size depends on the power dissipated in the tissue, and the latter depends on the percentage of the electrode surface in contact with the tissue itself, the sharp insertion geometry has the tendency to overestimate the lesion obtained, especially when a larger force is applied to the catheter. In this paper we introduce a full 3D computational model that takes into account the tissue elasticity, and is able to capture the tissue deformation and realistic power dissipation in the tissue. Numerical results in FEniCS-HPC are provided to validate the model against experimental data, and to compare the lesions obtained with the new model and with the classical ones featuring a sharp electrode insertion in the tissue.