In this master’s thesis, we examined the influence of different models of tissue electrical conductivity changes during electroporation on the results of numerical modelling in clinically relevant electroporation applications, particularly irreversible electroporation and pulsed-field ablation. The work was structured around three main parts: (i) analysis of different electrical conductivity models, (ii) uncertainty analysis of the numerical model, and (iii) the influence of the selected conductivity model on the determination of the lethal electric field threshold (LET).
A simplified three-dimensional liver tissue model was implemented in COMSOL Multiphysics, where we compared a stationary conductivity model with field-dependent models. Our findings demonstrated that the choice of conductivity model strongly influences the predicted volumes of electroporation and ablation, which is crucial for treatment planning.
To evaluate uncertainty, we applied the Morris sensitivity analysis method. The analysis revealed different sensitivity structures for the two dynamic conductivity models. In the smoothed Heaviside function model, the dominant parameter was E0, which defines the onset of conductivity increase, whereas in the sigmoid model, the influence was more evenly distributed between σ0 and σ1, which describe conductivity before and after electroporation. The results highlight the key parameters for reducing uncertainty in the numerical model.
In the third part, we developed a simplified computational framework to determine the lethal electric field threshold (LET) in pulsed-field ablation. Using experimental lesion data from the literature, the model achieved robust LET estimations across different conductivity models. The choice of electrical conductivity model significantly influenced the estimated value of LET, while all models, despite their differences, achieved comparably high agreement with the experimental lesions. The results therefore indicate that LET is not a universal tissue property, but rather depends on the conductivity model used.
Overall, this thesis enhances the understanding of electrical conductivity, parameter sensitivity, and electric field thresholds in electroporation, while providing a foundation for more reliable clinical treatment planning in applications such as electrochemotherapy and pulsed-field ablation.
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