Finite element analysis of Tumor Treating Fields in a patient with posterior fossa glioblastoma.

J Neurooncol

Brain Tumor Center & Neuro-Oncology Unit, Harvard Medical School, Beth Israel Deaconess Medical Center, 330 Brookline Avenue, Boston, MA, 02215, USA.

Published: March 2020

Introduction: Tumor Treating Fields (TTFields) are alternating electric fields at 200 kHz that disrupt tumor cells as they undergo mitosis. Patient survival benefit has been demonstrated in randomized clinical trials but much of the data are available only for supratentorial glioblastomas. We investigated a series of alternative array configurations for the posterior fossa to determine the electric field coverage of a cerebellar glioblastoma.

Methods: Semi-automated segmentation of neuro-anatomical structures was performed while the gross tumor volume (GTV) was manually delineated. A three-dimensional finite-element mesh was generated and then solved for field distribution.

Results: Compared to the supratentorial array configuration, the alternative array configurations consist of posterior displacement the 2 lateral opposing arrays and inferior displacement of the posteroanterior array, resulting in an average increase of 46.6% electric field coverage of the GTV as measured by the area under the curve of the electric field-volume histogram (E). Hotspots, or regions of interest with the highest 5% of TTFields intensity (E), had an average increase of 95.6%. Of the 6 posterior fossa configurations modeled, the PA arrangement provided the greatest field coverage at the GTV when the posteroanterior array was placed centrally along the patient's posterior neck and horizontally parallel, along the longer axis, to the coronal plane of the patient's head. Varying the arrays also produced hotspots proportional to TTFields coverage.

Conclusions: Our finite element modeling showed that the alternative array configurations offer an improved TTFields coverage to the cerebellar tumor compared to the conventional supratentorial configuration.

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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7076058PMC
http://dx.doi.org/10.1007/s11060-020-03406-xDOI Listing

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