Literature DB >> 26350296

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

Cornelia Wenger1, Ricardo Salvador, Peter J Basser, Pedro C Miranda.   

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.

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Year:  2015        PMID: 26350296      PMCID: PMC4628548          DOI: 10.1088/0031-9155/60/18/7339

Source DB:  PubMed          Journal:  Phys Med Biol        ISSN: 0031-9155            Impact factor:   3.609


  44 in total

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Journal:  Neuroimage       Date:  2004       Impact factor: 6.556

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Authors:  Hyun Sang Suh; Won Hee Lee; Tae-Seong Kim
Journal:  Phys Med Biol       Date:  2012-10-09       Impact factor: 3.609

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Journal:  Eur J Cancer       Date:  2012-05-18       Impact factor: 9.162

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Authors:  Mark Jenkinson; Christian F Beckmann; Timothy E J Behrens; Mark W Woolrich; Stephen M Smith
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  22 in total

1.  The effects of tumor treating fields and temozolomide in MGMT expressing and non-expressing patient-derived glioblastoma cells.

Authors:  Paul A Clark; Jordan T Gaal; Joslyn K Strebe; Cheri A Pasch; Dustin A Deming; John S Kuo; H Ian Robins
Journal:  J Clin Neurosci       Date:  2016-11-16       Impact factor: 1.961

2.  Tumor Treating Fields for Ovarian Carcinoma: A Modeling Study.

Authors:  Edwin Lok; Pyay San; Victoria White; Olivia Liang; Page C Widick; Sindhu Pisati Reddy; Eric T Wong
Journal:  Adv Radiat Oncol       Date:  2021-05-17

3.  Guidelines for Burr Hole Surgery in Combination With Tumor Treating Fields for Glioblastoma: A Computational Study on Dose Optimization and Array Layout Planning.

Authors:  Fang Cao; Nikola Mikic; Eric T Wong; Axel Thielscher; Anders Rosendal Korshoej
Journal:  Front Hum Neurosci       Date:  2022-06-16       Impact factor: 3.473

4.  Electric field responsive nanotransducers for glioblastoma.

Authors:  Akhil Jain; Isobel Jobson; Michaela Griffin; Ruman Rahman; Stuart Smith; Frankie J Rawson
Journal:  Bioelectron Med       Date:  2022-10-19

5.  A Novel In Vitro Device to Deliver Induced Electromagnetic Fields to Cell and Tissue Cultures.

Authors:  Rea Ravin; Teddy X Cai; Randall H Pursley; Marcial Garmendia-Cedillos; Tom Pohida; Raisa Z Freidlin; Herui Wang; Zhengping Zhuang; Amber J Giles; Nathan H Williamson; Mark R Gilbert; Peter J Basser
Journal:  Biophys J       Date:  2020-11-13       Impact factor: 4.033

6.  Planning TTFields treatment using the NovoTAL system-clinical case series beyond the use of MRI contrast enhancement.

Authors:  Jennifer Connelly; Adília Hormigo; Nimish Mohilie; Jethro Hu; Aafia Chaudhry; Nicholas Blondin
Journal:  BMC Cancer       Date:  2016-11-04       Impact factor: 4.430

Review 7.  The Evolving Role of Tumor Treating Fields in Managing Glioblastoma: Guide for Oncologists.

Authors:  Stuart H Burri; Vinai Gondi; Paul D Brown; Minesh P Mehta
Journal:  Am J Clin Oncol       Date:  2018-02       Impact factor: 2.339

8.  Impact of tumor position, conductivity distribution and tissue homogeneity on the distribution of tumor treating fields in a human brain: A computer modeling study.

Authors:  Anders Rosendal Korshoej; Frederik Lundgaard Hansen; Axel Thielscher; Gorm Burckhardt von Oettingen; Jens Christian Hedemann Sørensen
Journal:  PLoS One       Date:  2017-06-12       Impact factor: 3.240

9.  Enhancing Predicted Efficacy of Tumor Treating Fields Therapy of Glioblastoma Using Targeted Surgical Craniectomy: A Computer Modeling Study.

Authors:  Anders Rosendal Korshoej; Guilherme Bicalho Saturnino; Line Kirkegaard Rasmussen; Gorm von Oettingen; Jens Christian Hedemann Sørensen; Axel Thielscher
Journal:  PLoS One       Date:  2016-10-03       Impact factor: 3.240

Review 10.  Tumor treating fields: a novel treatment modality and its use in brain tumors.

Authors:  Andreas F Hottinger; Patricia Pacheco; Roger Stupp
Journal:  Neuro Oncol       Date:  2016-10       Impact factor: 12.300

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