Key result
Finite-element models coupled with an optimization strategy could potentially deliver electrode placement plans that provide more physically meaningful predictions of therapeutic outcomes.
Using finite-element models for radiofrequency ablation planning may provide more accurate predictions of therapeutic outcomes than conventional geometric models.
May refine ablation planning predictions in animal models; leaves open human translation and clinical utility.
Conventional radiofrequency ablation (RFA) planning methods for identifying suitable electrode placements typically use geometric shapes to model ablation outcomes. A method is presented for searching electrode placements that couples finite-element models (FEMs) of RFA together with a novel optimization strategy. The method was designed to reduce the need for model solutions per local search step. The optimization strategy was tested against scenarios requiring single and multiple ablations. In particular, for a scenario requiring multiple ablations, a domain decomposition strategy was described to minimize the complexity of simultaneously searching multiple electrode placements. The effects of nearby vasculature on optimal electrode placement were also studied. Compared with geometric planning approaches, FEMs could potentially deliver electrode placement plans that provide more physically meaningful predictions of therapeutic outcomes.
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Chen et al. (2008) studied Radiofrequency ablation treatment planning. Finite-element models (FEMs) coupled with optimization strategy vs. Geometric planning approaches was evaluated on Optimization of electrode placement. Finite-element models coupled with an optimization strategy could potentially deliver electrode placement plans that provide more physically meaningful predictions of therapeutic outcomes.
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