Literature DB >> 28269540

Simplified realistic human head model for simulating Tumor Treating Fields (TTFields).

Cornelia Wenger, Ze'ev Bomzon, Ricardo Salvador, Peter J Basser, Pedro C Miranda.   

Abstract

Tumor Treating Fields (TTFields) are alternating electric fields in the intermediate frequency range (100-300 kHz) of low-intensity (1-3 V/cm). TTFields are an anti-mitotic treatment against solid tumors, which are approved for Glioblastoma Multiforme (GBM) patients. These electric fields are induced non-invasively by transducer arrays placed directly on the patient's scalp. Cell culture experiments showed that treatment efficacy is dependent on the induced field intensity. In clinical practice, a software called NovoTalTM uses head measurements to estimate the optimal array placement to maximize the electric field delivery to the tumor. Computational studies predict an increase in the tumor's electric field strength when adapting transducer arrays to its location. Ideally, a personalized head model could be created for each patient, to calculate the electric field distribution for the specific situation. Thus, the optimal transducer layout could be inferred from field calculation rather than distance measurements. Nonetheless, creating realistic head models of patients is time-consuming and often needs user interaction, because automated image segmentation is prone to failure. This study presents a first approach to creating simplified head models consisting of convex hulls of the tissue layers. The model is able to account for anisotropic conductivity in the cortical tissues by using a tensor representation estimated from Diffusion Tensor Imaging. The induced electric field distribution is compared in the simplified and realistic head models. The average field intensities in the brain and tumor are generally slightly higher in the realistic head model, with a maximal ratio of 114% for a simplified model with reasonable layer thicknesses. Thus, the present pipeline is a fast and efficient means towards personalized head models with less complexity involved in characterizing tissue interfaces, while enabling accurate predictions of electric field distribution.

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Year:  2016        PMID: 28269540     DOI: 10.1109/EMBC.2016.7592012

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  3 in total

1.  Importance of electrode position for the distribution of tumor treating fields (TTFields) in a human brain. Identification of effective layouts through systematic analysis of array positions for multiple tumor locations.

Authors:  Anders Rosendal Korshoej; Frederik Lundgaard Hansen; Nikola Mikic; Gorm von Oettingen; Jens Christian Hedemann Sørensen; Axel Thielscher
Journal:  PLoS One       Date:  2018-08-22       Impact factor: 3.240

2.  Emerging medical applications based on non-ionizing electromagnetic fields from 0 Hz to 10 THz.

Authors:  Mats-Olof Mattsson; Myrtill Simkó
Journal:  Med Devices (Auckl)       Date:  2019-09-12

3.  Molecular Evolution of a Glioblastoma Controlled With Tumor Treating Fields and Concomitant Temozolomide.

Authors:  H Ian Robins; HuyTram N Nguyen; Aaron Field; Steven Howard; Shahriar Salamat; Dustin A Deming
Journal:  Front Oncol       Date:  2018-10-15       Impact factor: 6.244

  3 in total

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