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Updated: Oct 23, 2025

The Clinical Application of Tumor Treating Fields Therapy in Glioblastoma

The Clinical Application of Tumor Treating Fields Therapy in Glioblastoma

Published on: April 16, 2019

Tumor Treating Fields for Ovarian Carcinoma: A Modeling Study.

Edwin Lok^1,2, Pyay San¹, Victoria White¹

¹Brain Tumor Center & Neuro-Oncology Unit, Beth Israel Deaconess Medical Center, Boston, Massachusetts.

Advances in Radiation Oncology

|August 19, 2021

Summary

Tumor treating fields (TTFields) therapy for ovarian cancer shows heterogeneous electric field distribution. Personalized dosimetry using patient-specific factors can optimize treatment plans for better outcomes.

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Area of Science:

Medical Physics
Oncology
Computational Modeling

Background:

Tumor Treating Fields (TTFields) therapy is FDA-approved for glioblastoma.
In silico modeling aids understanding of electric field distribution for various cancers.

Purpose of the Study:

To investigate the distribution of electric fields in ovarian carcinoma using computational modeling.
To develop a personalized dosimetric evaluation method for TTFields therapy in ovarian cancer.

Main Methods:

Generated 3D finite element mesh models from PET-CT data of two ovarian carcinoma patients.
Calculated electric field distribution, energy deposition, and current density within clinical target volumes (CTVs).
Utilized electric field-volume, SAR-volume, and current density-volume histograms for plan quality assessment.

Main Results:

TTFields distribution in the pelvis and abdomen was heterogeneous.
CTV field intensity was influenced by surrounding anatomy, CTV shape/location, and array placement.
CTV electric conductivity directly impacted internal field strength.

Conclusions:

Combined use of histogram data and plan quality metrics allows personalized dosimetry for ovarian cancer TTFields therapy.
Integrating patient- and tumor-specific factors optimizes TTFields treatment planning.