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Estimation of saline-mixed tissue conductivity and ablation lesion size

Authors
Park, Joong YullPark, Chan YoungLee, Jeong Min
Issue Date
Jun-2013
Publisher
PERGAMON-ELSEVIER SCIENCE LTD
Keywords
Radiofrequency ablation; Effective conductivity; Electrical conductivity; Thermal conductivity
Citation
COMPUTERS IN BIOLOGY AND MEDICINE, v.43, no.5, pp 504 - 512
Pages
9
Journal Title
COMPUTERS IN BIOLOGY AND MEDICINE
Volume
43
Number
5
Start Page
504
End Page
512
URI
https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/14550
DOI
10.1016/j.compbiomed.2013.02.012
ISSN
0010-4825
1879-0534
Abstract
In radiofrequency ablation (RFA), saline infusion is beneficial for enhancing electrical conductivity, which allows more energy dissipation into target tissue, resulting in increased lesion size. Computational simulation has been a popular method to estimate lesion size from RFA treatment, but it has not been used effectively for saline-infused RFA, for lack of methods to address the conductivity properties of saline-tissue mixtures. To fill this gap, we propose a microscopic mixture model to derive the effective temperature-dependent conductivities of a saline-tissue mixture. We modeled a small block of 6% hypertonic saline-infused liver tissue as a 1 x 1 x 1 cm cube, which was divided into 64-1000 elements, with each element representing either liver tissue or saline. A 1:1 mixing of saline and liver tissue was assumed to calculate the effective conductivities at 30, 50, 70, and 90 degrees C. Different mixing conditions (2:1 and 1:2 of saline to liver tissue) were also tested to observe the effect of mixing ratio on the resulting data. Then, the derived conductivities were applied for 3D hypertonic saline-infused RFA simulation. The results matched our previous experimental measurements within 13%. The proposed model is customizable in constructing mixtures of multiple components, and can thus be expanded to include the effects of various anatomical microstructures and materials. (C) 2013 Elsevier Ltd. All rights reserved.
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공과대학 (기계공학부)
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