Key result
Mathematical modeling predicts in vitro pulsed field ablation lesion area within ~2% error.
Why the study?
Pulsed Field Ablation is dependent on electrode and waveform parameters, prompting investigation of the Design of Experiments methodology to design and optimize a PFA device.
Does a Design of Experiments (DoE) mathematical model accurately predict and optimize pulsed field ablation lesion area and center width in an in vitro cardiomyocyte model?
Does a Design of Experiments (DoE) mathematical model accurately predict and optimize pulsed field ablation lesion area and center width in an in vitro cardiomyocyte model?
Design of Experiments (DoE) empirical modeling accurately predicts in vitro pulsed field ablation lesion dimensions (<2.1% error), accounting for two-factor interactions between voltage, electrode spacing, and treatment repetitions to guide catheter device design.
Answers are grounded in this paper and cite their sources.
Enables rapid in vitro PFA parameter optimization; leaves open in vivo validation before clinical catheter translation.
Cardiac catheter ablation (CCA) is a common method used to correct cardiac arrhythmia. Pulsed Field Ablation (PFA) is a recently-adapted CCA technology whose ablation is dependent on electrode and waveform parameters (factors). In this work, the use of the Design of Experiments (DoE) methodology is investigated for the design and optimization of a PFA device. The effects of the four factors (input voltage, electrode spacing, electrode width, and on-time) and their interactions are analyzed. An empirical model is formed to predict and optimize the ablation size responses. Based on the ranges tested, the significant factors were the input voltage, the electrode spacing, and the on time, which is in line with the literature. Two-factor interactions were found to be significant and need to be considered in the model. The resulting empirical model was found to predict ablation sizes with less than 2.1% error in the measured area and was used for optimization. The findings and the strong predictive model developed highlight that the DoE approach can be used to help determine PFA device design, to optimize for certain ablation zone sizes, and to help inform device design to tackle specific cardiac arrhythmias.
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Dunne et al. (2023) studied In vitro human cardiomyocyte cell line AC16 model for atrial fibrillation ablation (n=32). Pulsed Field Ablation (PFA) using Design of Experiments (DoE) parameter optimization was evaluated on Ablation area and center width in cardiomyocyte monolayers (p=<0.05). Design of Experiments mathematical modeling predicted in vitro pulsed field ablation lesion areas with less than 2.1% error across confirmation runs.
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