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Parametric evaluation of impedance curve in radiofrequency ablation: A quantitative description of the asymmetry and dynamic variation of impedance in bovine ex vivo model

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Listed:
  • Ronei Delfino da Fonseca
  • Paulo Roberto Santos
  • Melissa Silva Monteiro
  • Luciana Alves Fernandes
  • Andreia Henrique Campos
  • Díbio L Borges
  • Suélia De Siqueira Rodrigues Fleury Rosa

Abstract

Radiofrequency ablation (RFA) is a treatment for liver tumors with advantages over the traditional treatment of surgical resection. This procedure has the shortest recovery time in early stage tumors. The objective of this study is to parameterize the impedance curve of the RFA procedure in an ex vivo model by defining seven parameters (t1/2, tminimum, tend, Zinitial, Z1/2, Zminimum and Zend). Based on these parameters, three performance indices are defined: one to identify the magnitude of impedance curve asymmetry (δ), one Drop ratio (DR) describing the percentage of impedance decrease until the minimum impedance point is reached, and Ascent Ratio (AR) describing the magnitude of increase in impedance from the minimum impedance point to its maximum point. Fifty ablations were performed in a bovine ex vivo model to measure and evaluate the proposed parameters and performance index. The results show that the groups had an average δ of 29.02%, DR of 22.41%, and AR of 545.33% for RFA without the use of saline or deionized solutions. The saline solution and deionized water-cooled groups indicated the correlation of performance indices δ, DR, and AR with the obtained final ablation volume. Therefore, by controlling these parameters and indices, lower recurrence is achieved.

Suggested Citation

  • Ronei Delfino da Fonseca & Paulo Roberto Santos & Melissa Silva Monteiro & Luciana Alves Fernandes & Andreia Henrique Campos & Díbio L Borges & Suélia De Siqueira Rodrigues Fleury Rosa, 2021. "Parametric evaluation of impedance curve in radiofrequency ablation: A quantitative description of the asymmetry and dynamic variation of impedance in bovine ex vivo model," PLOS ONE, Public Library of Science, vol. 16(1), pages 1-18, January.
  • Handle: RePEc:plo:pone00:0245145
    DOI: 10.1371/journal.pone.0245145
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