A Theoretical Analysis of the Effects of Tumor-Treating Electric Fields on Single Cells.

electric field distribution electromagnetic loss single-cell modeling thermal effect tumor-treating fields

Journal

Bioelectromagnetics
ISSN: 1521-186X
Titre abrégé: Bioelectromagnetics
Pays: United States
ID NLM: 8008281

Informations de publication

Date de publication:
Sep 2020
Historique:
received: 08 07 2019
revised: 08 05 2020
accepted: 24 05 2020
pubmed: 10 6 2020
medline: 8 6 2021
entrez: 10 6 2020
Statut: ppublish

Résumé

Tumor-treating fields (TTFields) are low-intensity and intermediate-frequency alternating electric fields that have been found to inhibit tumor cell growth. While effective, the mechanism by which TTFields affect cell growth is not yet clearly understood. Although numerous mathematical studies on the effects of electromagnetic fields on single cells exist, the effect of TTFields on single cells have been analyzed less frequently. The goal of this study is to explore through a mathematical analysis the effects of TTFields on single cells, with particular emphasis on the thermal effect. We examine herein two single-cell models, a simplified spheroidal model and a simulation of a U-87 MG glioblastoma cell model obtained from microscopic images. A finite element method is used to analyze the electric field distribution, electromagnetic loss, and thermal field distribution. The results further prove that the electric field in the cytoplasm is too weak and its thermal damage can be excluded as a mechanism for cell death in TTFields. Bioelectromagnetics. 2020;41:438-446. © 2020 Bioelectromagnetics Society.

Identifiants

pubmed: 32515015
doi: 10.1002/bem.22274
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

438-446

Informations de copyright

© 2020 Bioelectromagnetics Society.

Auteurs

Xing Li (X)

State Key Laboratory of Power Transmission Equipment & System Security and New Technology, School of Electrical Engineering, Chongqing University, Chongqing, China.

Fan Yang (F)

State Key Laboratory of Power Transmission Equipment & System Security and New Technology, School of Electrical Engineering, Chongqing University, Chongqing, China.

Bing Gao (B)

State Key Laboratory of Power Transmission Equipment & System Security and New Technology, School of Electrical Engineering, Chongqing University, Chongqing, China.

Xiao Yu (X)

State Key Laboratory of Power Transmission Equipment & System Security and New Technology, School of Electrical Engineering, Chongqing University, Chongqing, China.

Boris Rubinsky (B)

Department of Mechanical Engineering, University of California Berkeley, Berkeley, California.

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Classifications MeSH