Key result
Single-threshold computational modeling fails to accurately predict pulsed-field ablation lesion dimensions.
Why the study?
Predicted pulsed-field ablation lesion anisotropy ratios vary extensively among computational modeling studies, and these discrepancies remain a subject of discussion.
Does a single lethal electric field threshold in computational modeling accurately predict lesion dimensions in cardiac pulsed-field ablation?
Does a single lethal electric field threshold in computational modeling accurately predict lesion dimensions in cardiac pulsed-field ablation?
Current PFA computational models utilizing a single lethal electric field threshold are inadequate for characterizing lesion morphology in ventricular tissue, highlighting a need for distinct thresholds for width and depth.
Single-threshold PFA models may misestimate ventricular lesion dimensions; challenges consensus assumptions and leaves open need for anisotropic thresholds.
Background: Pulsed-field ablation (PFA) is a novel cardiac ablation technology based on irreversible electroporation (IRE). PFA computational models rely on identification of a lethal electric field threshold to predict the IRE area. However, the predicted lesion anisotropy ratios (width over depth) vary extensively among recent studies, and these discrepancies remain a subject of discussion. Objective: This work aims to evaluate the predicted lesion anisotropy ratios using a PFA computational model by applying it to an open-chest in vivo porcine model geometry. Methods: Six domestic swine underwent epicardial PFA applications using a previously described waveform protocol. Animals were killed at least 3 hours after the last ablation, and lesions were assessed using triphenyltetrazolium chloride (TTC) staining. Numeric simulations were performed on a segmented and meshed porcine thoracic computed tomography (CT) scan, mimicking the open-chest experimental setup. Results: The maximum width of all simulated lesions was observed at the epicardial surface. The anisotropy ratios (AR) of the experimental lesions were smaller than the simulated ones (AR experimental vs simulated, 1.0-1.7 vs 2-2.7; Q1-Q3 quartiles). Increasing the peak voltage resulted in larger lesions; however, the computational model clearly underestimated the increase in lesion depth compared with the experimental data. Conclusion: Our computational model shows that a single lethal electric field threshold is insufficient to accurately predict both lesion depth and width in cardiac PFA. Our study suggests that for the given PFA waveforms, a threshold between 270 and 500 V/cm provides satisfactory lesion depth estimations, and a higher threshold between 790 and 1000 V/cm better captures the lesion width.
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Petras et al. (2025) studied Cardiac pulsed-field ablation (n=6). Pulsed-field ablation (PFA) and computational modeling vs. Simulated vs experimental lesions was evaluated on Lesion anisotropy ratio (width over depth). Computational modeling using a single lethal electric field threshold failed to accurately predict both lesion depth and width in cardiac pulsed-field ablation, as experimental lesions showed smaller anisotropy ratios (1.0-1.7) compared to simulated lesions (2.0-2.7).
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