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[Simulation model of tumor-treating fields].
Qin, Liping; Xie, Xu; Wang, Minmin; Ma, Mingwei; Pan, Yun; Chen, Guangdi; Zhang, Shaomin.
Afiliação
  • Qin L; Zhejiang Institute of Medical Device Testing, Hangzhou 310018, P. R. China.
  • Xie X; Qiushi Academy for Advanced Studies, Key Laboratory for Biomedical Engineering of Ministry of Education, Zhejiang University, Hangzhou 310027, P. R. China.
  • Wang M; College of Information Science & Electronic Engineering, Zhejiang University, Hangzhou 310027, P. R. China.
  • Ma M; Qiushi Academy for Advanced Studies, Key Laboratory for Biomedical Engineering of Ministry of Education, Zhejiang University, Hangzhou 310027, P. R. China.
  • Pan Y; Qiushi Academy for Advanced Studies, Key Laboratory for Biomedical Engineering of Ministry of Education, Zhejiang University, Hangzhou 310027, P. R. China.
  • Chen G; College of Information Science & Electronic Engineering, Zhejiang University, Hangzhou 310027, P. R. China.
  • Zhang S; School of Public Health, Zhejiang University, Hangzhou 310027, P. R. China.
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi ; 41(2): 360-367, 2024 Apr 25.
Article em Zh | MEDLINE | ID: mdl-38686418
ABSTRACT
Tumor-treating fields (TTFields) is a novel treatment modality for malignant solid tumors, often employing electric field simulations to analyze the distribution of electric fields on the tumor under different parameters of TTFields. Due to the present difficulties and high costs associated with reproducing or implementing the simulation model construction techniques, this study used readily available open-source software tools to construct a highly accurate, easily implementable finite element simulation model for TTFields. The accuracy of the model is at a level of 1 mm 3. Using this simulation model, the study carried out analyses of different factors, such as tissue electrical parameters and electrode configurations. The results show that factors influncing the distribution of the internal electric field of the tumor include changes in scalp and skull conductivity (with a maximum variation of 21.0% in the treatment field of the tumor), changes in tumor conductivity (with a maximum variation of 157.8% in the treatment field of the tumor), and different electrode positions and combinations (with a maximum variation of 74.2% in the treatment field of the tumor). In summary, the results of this study validate the feasibility and effectiveness of the proposed modeling method, which can provide an important reference for future simulation analyses of TTFields and clinical applications.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Simulação por Computador / Análise de Elementos Finitos / Neoplasias Limite: Humans Idioma: Zh Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Simulação por Computador / Análise de Elementos Finitos / Neoplasias Limite: Humans Idioma: Zh Ano de publicação: 2024 Tipo de documento: Article