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作者:

Wang, Xiaoru (Wang, Xiaoru.) | Gao, Hongjian (Gao, Hongjian.) | Wu, Shuicai (Wu, Shuicai.) (学者:吴水才) | Bai, Yanping (Bai, Yanping.) | Zhou, Zhuhuang (Zhou, Zhuhuang.)

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CPCI-S Scopus SCIE

摘要:

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 (k), the electrical conductivity (Sigma), the density (rho), the dielectric constant (Epsilon) and the resistance (R). 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 R and Sigma, but was a reverse situation for Cp and rho. Besides, the influence of k 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.

关键词:

temperature field simulation sensitivity analysis Radiofrequency ablation

作者机构:

  • [ 1 ] [Wang, Xiaoru]Beijing Univ Technol, Coll Life Sci & Bioengn, Pingleyuan 100, Beijing 100124, Peoples R China
  • [ 2 ] [Gao, Hongjian]Beijing Univ Technol, Coll Life Sci & Bioengn, Pingleyuan 100, Beijing 100124, Peoples R China
  • [ 3 ] [Wu, Shuicai]Beijing Univ Technol, Coll Life Sci & Bioengn, Pingleyuan 100, Beijing 100124, Peoples R China
  • [ 4 ] [Bai, Yanping]Beijing Univ Technol, Coll Life Sci & Bioengn, Pingleyuan 100, Beijing 100124, Peoples R China
  • [ 5 ] [Zhou, Zhuhuang]Beijing Univ Technol, Coll Life Sci & Bioengn, Pingleyuan 100, Beijing 100124, Peoples R China

通讯作者信息:

  • [Gao, Hongjian]Beijing Univ Technol, Coll Life Sci & Bioengn, Pingleyuan 100, Beijing 100124, Peoples R China

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来源 :

TECHNOLOGY AND HEALTH CARE

ISSN: 0928-7329

年份: 2018

卷: 26

页码: S179-S192

1 . 6 0 0

JCR@2022

ESI学科: MOLECULAR BIOLOGY & GENETICS;

ESI高被引阀值:329

JCR分区:4

被引次数:

WoS核心集被引频次: 6

SCOPUS被引频次: 6

ESI高被引论文在榜: 0 展开所有

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