Tumor Treating Fields induced Electric Field Distribution for Breast Cancer Treatment A Computational Study

Breast cancer stands as one of the most prevalent and challenging malignancies, necessitating innovative therapeutic approaches. Tumor Treating Fields (TTFields) have emerged as a promising non-invasive avenue in breast cancer therapy. The effectiveness of TTFields largely hinges on the electric field distribution within tumor tissues, which is influenced by various tumor characteristics including location, size, and morphology. However, a significant research gap exists in the TTFields-induced electric field distribution for breast cancer therapy. This study introduces an accessible TTFields transducer placement method tailored for breast cancer treatment, employing finite element analysis to investigate the impact of different tumor attributes on the induced field distribution. Our findings indicate significant effects of tumor characteristics on the induced electric field distribution, highlighting the critical need for personalized transducer placement optimization. This research offers valuable insights and broadens the application prospects of TTFields in breast cancer treatment.

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Publication Details

Published
2024-08-23
DOI
https://doi.org/10.1145/3691521.3691525
Primary Topic
Molecular Communication and Nanonetworks
Type
article
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article

Tumor Treating Fields induced Electric Field Distribution for Breast Cancer Treatment A Computational Study

Yuru Tian, Shaomin Zhang, Dan Wu, Yun Pan et al.
Molecular Communication and Nanonetworks
article

Tumor Treating Fields induced Electric Field Distribution for Breast Cancer Treatment A Computational Study

Yuru Tian, Shaomin Zhang, Dan Wu, Yun Pan, Minmin Wang, Xu Xie, Yan Lan
article en

Abstract

Breast cancer stands as one of the most prevalent and challenging malignancies, necessitating innovative therapeutic approaches. Tumor Treating Fields (TTFields) have emerged as a promising non-invasive avenue in breast cancer therapy. The effectiveness of TTFields largely hinges on the electric field distribution within tumor tissues, which is influenced by various tumor characteristics including location, size, and morphology. However, a significant research gap exists in the TTFields-induced electric field distribution for breast cancer therapy. This study introduces an accessible TTFields transducer placement method tailored for breast cancer treatment, employing finite element analysis to investigate the impact of different tumor attributes on the induced field distribution. Our findings indicate significant effects of tumor characteristics on the induced electric field distribution, highlighting the critical need for personalized transducer placement optimization. This research offers valuable insights and broadens the application prospects of TTFields in breast cancer treatment.

Zhejiang University (CN)
Good health and well-being
Openalex Percentile: Top 83%
Molecular Communication and Nanonetworks
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Tumor Treating Fields induced Electric Field Distribution for Breast Cancer Treatment A Computational Study — Yuru Tian, Shaomin Zhang, et al. · (2024) | TGRS Research Map | TGRS