Key result
The outflow tract extended rule-based method (OT-RBM) generated simulated isochrone ratios (1.86) that closely matched clinical observations for right ventricular outflow tract arrhythmias, outperforming the Streeter-based method (0.57).
Why the study?
Existing rule-based methods for cardiac fiber orientation rely mostly on left ventricular data and often fail to match histological findings in regions like the right ventricle.
Absolute Event Rate: 1.86% vs 0.57%
The proposed rule-based method for modeling myocardial fiber orientation improves the accuracy of patient-specific electrophysiological simulations, potentially aiding in silico identification of the site of origin for outflow tract ventricular arrhythmias before ablation.
May improve in silico OT arrhythmia localization; leaves open clinical translation without human validation.
Rule-based methods are often used for assigning fiber orientation to cardiac anatomical models. However, existing methods have been developed using data mostly from the left ventricle. As a consequence, fiber information obtained from rule-based methods often does not match histological data in other areas of the heart such as the right ventricle, having a negative impact in cardiac simulations beyond the left ventricle. In this work, we present a rule-based method where fiber orientation is separately modeled in each ventricle following observations from histology. This allows to create detailed fiber orientation in specific regions such as the endocardium of the right ventricle, the interventricular septum, and the outflow tracts. We also carried out electrophysiological simulations involving these structures and with different fiber configurations. In particular, we built a modeling pipeline for creating patient-specific volumetric meshes of biventricular geometries, including the outflow tracts, and subsequently simulate the electrical wavefront propagation in outflow tract ventricular arrhythmias with different origins for the ectopic focus. The resulting simulations with the proposed rule-based method showed a very good agreement with clinical parameters such as the 10 ms isochrone ratio in a cohort of nine patients suffering from this type of arrhythmia. The developed modeling pipeline confirms its potential for an in silico identification of the site of origin in outflow tract ventricular arrhythmias before clinical intervention.
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Doste et al. (2019) studied Idiopathic outflow tract ventricular arrhythmias (n=9). Outflow tract extended rule-based method (OT-RBM) vs. Streeter-based rule-based method (ST-RBM) was evaluated on 10 ms isochrone ratio (longitudinal/perpendicular diameter) for right ventricular outflow tract (RVOT) site of origin. The outflow tract extended rule-based method (OT-RBM) generated simulated isochrone ratios (1.86) that closely matched clinical observations for right ventricular outflow tract arrhythmias, outperforming the Streeter-based method (0.57).
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