Evidence map›Paper›PMID 26350296›Full record

ArticlePhysics in medicine and biology2015

The electric field distribution in the brain during TTFields therapy and its dependence on tissue dielectric properties and anatomy: a computational study.

Cornelia Wenger, Ricardo Salvador, Peter J Basser, Pedro C Miranda

Registry-linked trialOpen access · hybridAbstract read
In one paragraph

Article in Physics in medicine and biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04804410 (Determination of Dielectric Properties of Matched Tissue Samples From Thoracic Malignancies and Corresponding Normal Tissues), which is not on this map. Cited by 40 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed, 1 pooled it
4.8field-weighted citation impact, top 4% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT04804410 naunknown statusnot on this mapstarted 2021, after this paper: background citation

Determination of Dielectric Properties of Matched Tissue Samples From Thoracic Malignancies and Corresponding Normal Tissues

TypeinterventionalSponsorUniversity of Maryland, BaltimoreRan2021 to 2021Enrolled30ConditionsLung Cancer, Esophageal Cancer, Mesothelioma, LungArmsLCR Meter (Brand: Keysight, Serial Number:E498AL)
3 · Its place in the literature

Who cites it

40 citing papers in PubMed, 1 synthesis or guideline pooled it, 115 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Review
  6. A New Method for Optimal Placement of Tumor Treating Fields Electrodes.bioRxiv : the preprint server for biology · 2025
    Article
  7. Review
  8. Review
  9. Hydrogel and scalp/skin conductivities impact dose from tumor treating fields.Frontiers in bioengineering and biotechnology · 2025
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Electrotherapies for Glioblastoma.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2021
    Review
  17. Article
  18. Article
  19. Review
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 2 institutions in 2 countries.

Cornelia WengerInstitute of Biophysics and Biomedical Engineering, Faculdade de Ciências, Universidade de Lisboa, 1749-016 Lisboa, Portugal.
Ricardo Salvador
Peter J Basser
Pedro C Miranda
University of Lisbon · PTEunice Kennedy Shriver National Institute of Child Health and Human Development · US

Funding

Imaging Water Diffusion in the Brain and in Other Soft TissuesZIAHD000266 · NICHD · EUNICE KENNEDY SHRIVER NATIONAL INSTITUTE OF CHILD HEALTH & HUMAN DEVELOPMENT · PI BASSER, PETER J. · 2009 to 2017
$3.3M
Physical-chemical Aspects Of Cell And Tissue ExcitabilityZIAHD000268 · NICHD · EUNICE KENNEDY SHRIVER NATIONAL INSTITUTE OF CHILD HEALTH & HUMAN DEVELOPMENT · PI BASSER, PETER J. · 2009 to 2017
$796k
Intramural NIH HHS ZIA HD000266
6 · The paper itself

Abstract

Tumor treating fields (TTFields) are a non-invasive, anti-mitotic and approved treatment for recurrent glioblastoma multiforme (GBM) patients. In vitro studies have shown that inhibition of cell division in glioma is achieved when the applied alternating electric field has a frequency in the range of 200 kHz and an amplitude of 1-3 V cm(-1). Our aim is to calculate the electric field distribution in the brain during TTFields therapy and to investigate the dependence of these predictions on the heterogeneous, anisotropic dielectric properties used in the computational model. A realistic head model was developed by segmenting MR images and by incorporating anisotropic conductivity values for the brain tissues. The finite element method (FEM) was used to solve for the electric potential within a volume mesh that consisted of the head tissues, a virtual lesion with an active tumour shell surrounding a necrotic core, and the transducer arrays. The induced electric field distribution is highly non-uniform. Average field strength values are slightly higher in the tumour when incorporating anisotropy, by about 10% or less. A sensitivity analysis with respect to the conductivity and permittivity of head tissues shows a variation in field strength of less than 42% in brain parenchyma and in the tumour, for values within the ranges reported in the literature. Comparing results to a previously developed head model suggests significant inter-subject variability. This modelling study predicts that during treatment with TTFields the electric field in the tumour exceeds 1 V cm(-1), independent of modelling assumptions. In the future, computational models may be useful to optimize delivery of TTFields.

Indexed as

Models, AnatomicAdultAnisotropyBrainBrain NeoplasmsBrain WavesElectric ConductivityElectric Stimulation TherapyFemaleFinite Element AnalysisGlioblastomaHeadHumansImage Processing, Computer-AssistedMaleModels, Neurological

Identifiers

PMID26350296
PMCPMC4628548
OpenAlexW2312300111

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.