Key result
Fiber-independent left atrium models achieve ~96% focal arrhythmia accuracy compared to fiber-inclusive models.
Why the study?
Patient-specific arrhythmia modeling is challenged by myocardial fiber organization, which varies significantly between hearts and cannot be measured directly in live tissue.
Does a fiber-independent model accurately reproduce left atrium activation maps compared to a fiber-incorporated model in atrial tachycardia?
Does a fiber-independent model accurately reproduce left atrium activation maps compared to a fiber-incorporated model in atrial tachycardia?
A fiber-independent computational model provides high accuracy for left atrium activation maps in focal and rotor arrhythmias, offering a promising tool for clinical applications like cardiac ablation.
One of the challenges in the development of patient-specific models of cardiac arrhythmias for clinical applications has been accounting for myocardial fiber organization. The fiber varies significantly from heart to heart, but cannot be directly measured in live tissue. The goal of this paper is to evaluate in-silico the accuracy of left atrium activation maps produced by a fiber-independent (isotropic) model with tuned diffusion coefficients, compares to a model incorporating myocardial fibers with the same geometry. For this study we utilize publicly available DT-MRI data from 7 ex-vivo hearts. The comparison is carried out in 51 cases of focal and rotor arrhythmias located in different regions of the atria. On average, the local activation time accuracy is 96% for focal and 93% for rotor arrhythmias. Given its reasonably good performance and the availability of readily accessible data for model tuning in cardiac ablation procedures, the fiber-independent model could be a promising tool for clinical applications.
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He et al. (2023) studied Atrial tachycardia (n=7). Fiber-independent model vs. Fiber-inclusive model was evaluated on Local activation time accuracy. A fiber-independent left atrium model achieved an average local activation time accuracy of 96% for focal and 93% for rotor arrhythmias compared to a fiber-inclusive model.
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