Tumor-treating fields dosimetry in glioblastoma: Insights into treatment planning, optimization, and dose–response relationships

Nikola Mikic*, Nichal Gentilal, Fang Cao, Edwin Lok, Eric T. Wong, Matthew Ballo, Martin Glas, Pedro C. Miranda, Axel Thielscher, Anders R. Korshoej*

*Corresponding author for this work

Research output: Contribution to journalReviewpeer-review

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Abstract

Tumor-treating fields (TTFields) are currently a Category 1A treatment recommendation by the US National Comprehensive Cancer Center for patients with newly diagnosed glioblastoma. Although the mechanism of action of TTFields has been partly elucidated, tangible and standardized metrics are lacking to assess antitumor dose and effects of the treatment.This paper outlines and evaluates the current standards and methodologies in the estimation of the TTFields distribution and dose measurement in the brain and highlights the most important principles governing TTFields dosimetry. The focus is on clinical utility to facilitate a practical understanding of these principles and how they can be used to guide treatment. The current evidence for a correlation between TTFields dose, tumor growth, and clinical outcome will be presented and discussed. Furthermore, we will provide perspectives and updated insights into the planning and optimization of TTFields therapy for glioblastoma by reviewing how the dose and thermal effects of TTFields are affected by factors such as tumor location and morphology, peritumoral edema, electrode array position, treatment duration (compliance), array “edge effect,” electrical duty cycle, and skull-remodeling surgery. Finally, perspectives are provided on how to optimize the efficacy of future TTFields therapy. 

Original languageEnglish
Article numbervdae032
JournalNeuro-Oncology Advances
Volume6
Issue number1
Number of pages14
DOIs
Publication statusPublished - 1 Jan 2024

Keywords

  • Computational head modeling
  • Dosimetry
  • Glioblastoma
  • tumor-treating fields

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