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RF ablation thermal simulation model: Parameter sensitivity analysis

OBJECTIVE: The aim of the research is to obtain the relative influences of some critical electro-thermal parameters on the ablation temperature and lesion volume during temperature-controlled radiofrequency ablation (RFA) of liver tumor by parameter sensitivity analysis. METHODS: The finite element...

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Autores principales: Wang, Xiaoru, Gao, Hongjian, Wu, Shuicai, Bai, Yanping, Zhou, Zhuhuang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: IOS Press 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6004962/
https://www.ncbi.nlm.nih.gov/pubmed/29689761
http://dx.doi.org/10.3233/THC-174542
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author Wang, Xiaoru
Gao, Hongjian
Wu, Shuicai
Bai, Yanping
Zhou, Zhuhuang
author_facet Wang, Xiaoru
Gao, Hongjian
Wu, Shuicai
Bai, Yanping
Zhou, Zhuhuang
author_sort Wang, Xiaoru
collection PubMed
description OBJECTIVE: The aim of the research is to obtain the relative influences of some critical electro-thermal parameters on the ablation temperature and lesion volume during temperature-controlled radiofrequency ablation (RFA) of liver tumor by parameter sensitivity analysis. METHODS: The finite element method (FEM) has been used to establish the simulation model of RFA temperature field, and the sensitivity of the tissue parameters has been analyzed. The effects of six parameters have been taken into account, including the thermal specific capacity (Cp), the thermal conductivity ([Formula: see text]), the electrical conductivity (Sigma), the density (rho), the dielectric constant (Epsilon) and the resistance ([Formula: see text]). The simulation processes based on different parameter values have been accomplished with Comsol Multiphysics software, and the sensitivity parameters have been obtained utilizing the variance contribution rate (SS%) or the main effects. RESULTS: It was found that the ablation temperature and lesion volume increased with increasing the values of [Formula: see text] and Sigma, but was a reverse situation for Cp and rho. Besides, the influence of [Formula: see text] on ablation volume was relatively small and Epsilon had a negligible effect on ablation temperature. CONCLUSIONS: It is concluded that these parameter sensitivity results can provide scientific and reliable reference for the specificity analysis of the RF ablation models.
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spelling pubmed-60049622018-06-25 RF ablation thermal simulation model: Parameter sensitivity analysis Wang, Xiaoru Gao, Hongjian Wu, Shuicai Bai, Yanping Zhou, Zhuhuang Technol Health Care Research Article OBJECTIVE: The aim of the research is to obtain the relative influences of some critical electro-thermal parameters on the ablation temperature and lesion volume during temperature-controlled radiofrequency ablation (RFA) of liver tumor by parameter sensitivity analysis. METHODS: The finite element method (FEM) has been used to establish the simulation model of RFA temperature field, and the sensitivity of the tissue parameters has been analyzed. The effects of six parameters have been taken into account, including the thermal specific capacity (Cp), the thermal conductivity ([Formula: see text]), the electrical conductivity (Sigma), the density (rho), the dielectric constant (Epsilon) and the resistance ([Formula: see text]). The simulation processes based on different parameter values have been accomplished with Comsol Multiphysics software, and the sensitivity parameters have been obtained utilizing the variance contribution rate (SS%) or the main effects. RESULTS: It was found that the ablation temperature and lesion volume increased with increasing the values of [Formula: see text] and Sigma, but was a reverse situation for Cp and rho. Besides, the influence of [Formula: see text] on ablation volume was relatively small and Epsilon had a negligible effect on ablation temperature. CONCLUSIONS: It is concluded that these parameter sensitivity results can provide scientific and reliable reference for the specificity analysis of the RF ablation models. IOS Press 2018-05-29 /pmc/articles/PMC6004962/ /pubmed/29689761 http://dx.doi.org/10.3233/THC-174542 Text en © 2018 – IOS Press and the authors. All rights reserved https://creativecommons.org/licenses/by-nc/4.0/ This article is published online with Open Access and distributed under the terms of the Creative Commons Attribution Non-Commercial License (CC BY-NC 4.0).
spellingShingle Research Article
Wang, Xiaoru
Gao, Hongjian
Wu, Shuicai
Bai, Yanping
Zhou, Zhuhuang
RF ablation thermal simulation model: Parameter sensitivity analysis
title RF ablation thermal simulation model: Parameter sensitivity analysis
title_full RF ablation thermal simulation model: Parameter sensitivity analysis
title_fullStr RF ablation thermal simulation model: Parameter sensitivity analysis
title_full_unstemmed RF ablation thermal simulation model: Parameter sensitivity analysis
title_short RF ablation thermal simulation model: Parameter sensitivity analysis
title_sort rf ablation thermal simulation model: parameter sensitivity analysis
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6004962/
https://www.ncbi.nlm.nih.gov/pubmed/29689761
http://dx.doi.org/10.3233/THC-174542
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AT wushuicai rfablationthermalsimulationmodelparametersensitivityanalysis
AT baiyanping rfablationthermalsimulationmodelparametersensitivityanalysis
AT zhouzhuhuang rfablationthermalsimulationmodelparametersensitivityanalysis