title: Parametric study of radiofrequency ablation in the clinical practice with the use of two-compartment numerical models.
abstract: The objective of the current work was to simulate radiofrequency ablation (RFA) with theoretical and realistic computational models, which correspond to single-compartment models and clinical scenarios. A 3D model in a cubic region of 12 cm edge was studied representing either a homogeneous model or real clinical scenarios in three human tissues, i.e., liver, lung and kidney. An active electrode was placed at the center of the model. Various tumor sizes (1-3 cm) and source voltages (10-30 V) were investigated for the second case of a two-compartment model. In the case of a 3-cm tumor in diameter, the electrical and thermal problems (at steady state) were solved to calculate the temperature distribution within the tumor and tissue. Lesion volume was quantified using the Arrhenius equation and the isothermals of 50 and 60 °C. The physical properties of all materials were constant during the simulations, i.e., no changes with temperature were considered. It was found that tumor conductivity was low to achieve significant damage in the tumor; in all clinical scenarios, saline-enhanced RFA was necessary and led to a more efficient tumor destruction. It was also shown that highly perfused tissues, such as liver and kidney, block the energy deposition within them, in contrast to lung, and, thus, require a further saline enhancement. Finally, the effect of perfusion on lesion size was studied, and it was concluded that tumor perfusion was more significant than surrounding tissue perfusion.
authors.affiliation: Department of Physics, Aristotle University of Thessaloniki, Thessaloniki, Greece.
authors.forename: George
authors.initials: G
authors.lastname: Zorbas
authors.forename: Theodoros
authors.initials: T
authors.lastname: Samaras
mesh_terms: D055011:Ablation Techniques; D000042:Absorption; D004553:Electric Conductivity; D006801:Humans; D008954:Models, Biological; D009369:Neoplasms / Q000628:therapy; D000078702:Radiofrequency Therapy