Validation of Computational Simulation for Tumor-treating Fields with Homogeneous Phantom

Mingwei Ma; Guihang Fu; Minmin Wang; Haipeng Liu; Dingchang Zheng; Yun Pan; Shaomin Zhang

doi:10.1109/EMBC48229.2022.9871126

Validation of Computational Simulation for Tumor-treating Fields with Homogeneous Phantom

Mingwei Ma
, Guihang Fu
, Minmin Wang
, Haipeng Liu
, Dingchang Zheng
, Yun Pan
, Shaomin Zhang

Zhejiang University

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding › peer-review

5 Citations (Scopus)

251 Downloads (Pure)

Abstract

Tumor-treating Fields (TTFields) is a promising cancer therapy technique in clinical application. Computational simulation of TTFields has been used to predict the electric field (EF) distribution in the human body and to optimize the treatment parameters. However, there are only a few studies to validate the accuracy of the simulation model. Here we propose a measurement platform with technical details for validating the simulation model of TTFields. We further constructed homogeneous agar phantoms with different conductivity for voltage measurement. With the measured voltages from six equidistance recording points in the cylinder phantom, we calculated the EF intensity in the phantoms at different frequencies. Comparing the measured values with the simulated values obtained from two types of source simulation, we found that the current source simulation model of TTFields is a reliable method for evaluating the EF intensity distribution.

Original language	English
Title of host publication	2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
Publisher	IEEE
Pages	975-978
Number of pages	4
Volume	2022
ISBN (Electronic)	978-1-7281-2782-8
ISBN (Print)	978-1-7281-2783-5
DOIs	https://doi.org/10.1109/EMBC48229.2022.9871126
Publication status	Published - 8 Sept 2022
Event	44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. - Glasgow, United Kingdom Duration: 11 Jul 2022 → 15 Jul 2022

Publication series

Name	Annual International Conference of the IEEE Engineering in Medicine and Biology Society.
Publisher	IEEE
Volume	2022
ISSN (Print)	2375-7477
ISSN (Electronic)	2694-0604

Conference

Conference	44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.
Country/Territory	United Kingdom
City	Glasgow
Period	11/07/22 → 15/07/22

Bibliographical note

© 2022 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including
reprinting/republishing this material for advertising or promotional purposes,
creating new collective works, for resale or redistribution to servers or lists, or
reuse of any copyrighted component of this work in other works.
Copyright © and Moral Rights are retained by the author(s) and/ or other copyright owners. A copy can be downloaded for personal non-commercial research or study, without prior permission or charge. This item cannot be reproduced or quoted extensively from without first obtaining permission in writing from the copyright holder(s). The content must not be changed in any way or sold commercially in any format or medium without the formal permission of the copyright holders.
This document is the author’s post-print version, incorporating any revisions agreed during the peer-review process. Some differences between the published version and this version may remain and you are advised to consult the published version if you wish to cite from it

Funding

Funders	Funder number
Key Research and Development Program of Zhejiang Province	2021C03003, 2021C03107
Key Research and Development Program of Zhejiang Province
National Key Research and Development Program of China	2017YFE019550
National Key Research and Development Program of China

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

Agar
Computer Simulation
Electricity
Humans
Neoplasms/therapy
Phantoms, Imaging

Access to Document

10.1109/EMBC48229.2022.9871126

Post PrintAccepted author manuscript, 1.22 MB

Cite this

Ma, M., Fu, G., Wang, M., Liu, H., Zheng, D., Pan, Y., & Zhang, S. (2022). Validation of Computational Simulation for Tumor-treating Fields with Homogeneous Phantom. In 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) (Vol. 2022, pp. 975-978). (Annual International Conference of the IEEE Engineering in Medicine and Biology Society.; Vol. 2022). IEEE. https://doi.org/10.1109/EMBC48229.2022.9871126

Validation of Computational Simulation for Tumor-treating Fields with Homogeneous Phantom. / Ma, Mingwei; Fu, Guihang; Wang, Minmin et al.
2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). Vol. 2022 IEEE, 2022. p. 975-978 (Annual International Conference of the IEEE Engineering in Medicine and Biology Society.; Vol. 2022).

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding › peer-review

Ma, M, Fu, G, Wang, M, Liu, H, Zheng, D, Pan, Y & Zhang, S 2022, Validation of Computational Simulation for Tumor-treating Fields with Homogeneous Phantom. in 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). vol. 2022, Annual International Conference of the IEEE Engineering in Medicine and Biology Society., vol. 2022, IEEE, pp. 975-978, 44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society., Glasgow, United Kingdom, 11/07/22. https://doi.org/10.1109/EMBC48229.2022.9871126

Ma M, Fu G, Wang M, Liu H, Zheng D, Pan Y et al. Validation of Computational Simulation for Tumor-treating Fields with Homogeneous Phantom. In 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). Vol. 2022. IEEE. 2022. p. 975-978. (Annual International Conference of the IEEE Engineering in Medicine and Biology Society.). doi: 10.1109/EMBC48229.2022.9871126

Ma, Mingwei ; Fu, Guihang ; Wang, Minmin et al. / Validation of Computational Simulation for Tumor-treating Fields with Homogeneous Phantom. 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). Vol. 2022 IEEE, 2022. pp. 975-978 (Annual International Conference of the IEEE Engineering in Medicine and Biology Society.).

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abstract = "Tumor-treating Fields (TTFields) is a promising cancer therapy technique in clinical application. Computational simulation of TTFields has been used to predict the electric field (EF) distribution in the human body and to optimize the treatment parameters. However, there are only a few studies to validate the accuracy of the simulation model. Here we propose a measurement platform with technical details for validating the simulation model of TTFields. We further constructed homogeneous agar phantoms with different conductivity for voltage measurement. With the measured voltages from six equidistance recording points in the cylinder phantom, we calculated the EF intensity in the phantoms at different frequencies. Comparing the measured values with the simulated values obtained from two types of source simulation, we found that the current source simulation model of TTFields is a reliable method for evaluating the EF intensity distribution.",

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N1 - © 2022 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. Copyright © and Moral Rights are retained by the author(s) and/ or other copyright owners. A copy can be downloaded for personal non-commercial research or study, without prior permission or charge. This item cannot be reproduced or quoted extensively from without first obtaining permission in writing from the copyright holder(s). The content must not be changed in any way or sold commercially in any format or medium without the formal permission of the copyright holders. This document is the author’s post-print version, incorporating any revisions agreed during the peer-review process. Some differences between the published version and this version may remain and you are advised to consult the published version if you wish to cite from it

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Validation of Computational Simulation for Tumor-treating Fields with Homogeneous Phantom

Abstract

Publication series

Conference

Bibliographical note

Funding

UN SDGs

Keywords

Access to Document

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Cite this