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Modeling Methods for Treatment Planning in Overlapping Electroporation Treatments

Authors :
Tomás García-Sánchez
Enric Perera-Bel
Antoni Ivorra
Borja Mercadal
Miguel Ángel González Ballester
Source :
IEEE Transactions on Biomedical Engineering. 69:1318-1327
Publication Year :
2022
Publisher :
Institute of Electrical and Electronics Engineers (IEEE), 2022.

Abstract

Objective Irreversible electroporation (IRE) is a non thermal tissue ablation therapy which is induced by applying high voltage waveforms across electrode pairs. When multiple electrode pairs are sequentially used, the treatment volume (TV) is typically computed as the geometric union of the TVs of individual pairs. However, this method neglects that some regions are exposed to overlapping treatments. Recently, a model describing cell survival probability was introduced which effectively predicted TV with overlapping fields in vivo. However, treatment overlap has yet to be quantified. This study characterizes TV overlap in a controlled in vitro setup with the two existing methods which are compared to an adapted logistic model proposed here. Methods CHO cells were immobilized in agarose gel. Initially, we characterized the electric field threshold and the cell survival probability for overlapping treatments. Subsequently, we created a 2D setup where we compared and validated the accuracy of the different methods in predicting the TV. Results Overlap can reduce the electric field threshold required to induce cell death, particularly for treatments with low pulse number. However, it does not have a major impact on TV in the models assayed here, and all the studied methods predict TV with similar accuracy. Conclusion Treatment overlap has a minor influence in the TV for typical protocols found in IRE therapies. Significance This study provides evidence that the modeling method used in most pre-clinical and clinical studies seems adequate.

Details

ISSN :
15582531 and 00189294
Volume :
69
Database :
OpenAIRE
Journal :
IEEE Transactions on Biomedical Engineering
Accession number :
edsair.doi.dedup.....18ba6f7087ccc141b329e20bfc864702