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A Review on Tumor-Treating Fields (TTFields): Clinical Implications Inferred from Computational Modeling

  • Cornelia Wenger*
  • , Pedro C. Miranda
  • , Ricardo Salvador
  • , Axel Thielscher
  • , Zeev Bomzon
  • , Moshe Giladi
  • , MacIej M. Mrugala
  • , Anders R. Korshoej
  • *Corresponding author for this work
    • University of Lisbon
    • University of Washington
    • Aarhus University
    • Novocure GmbH
    • Novocure Ltd.

    Research output: Contribution to journal › Review › peer-review

    1364 Downloads (Orbit)

    Abstract

    Tumor-treating fields (TTFields) are a cancer treatment modality that uses alternating electric fields of intermediate frequency (∼100-500 kHz) and low intensity (1-3 V/cm) to disrupt cell division. TTFields are delivered by transducer arrays placed on the skin close to the tumor and act regionally and noninvasively to inhibit tumor growth. TTFields therapy is U.S. Food and Drug Administration approved for the treatment of glioblastoma multiforme, the most common and aggressive primary human brain cancer. Clinical trials testing the safety and efficacy of TTFields for other solid tumor types are underway. The objective of this paper is to review computational approaches used to characterize TTFields. The review covers studies of the macroscopic spatial distribution of TTFields generated in the human head, and of the microscopic field distribution in tumor cells. In addition, preclinical and clinical findings related to TTFields and principles of its operation are summarized. Particular emphasis is put on outlining the potential clinical value inferred from computational modeling.

    Original languageEnglish
    JournalI E E E Reviews in Biomedical Engineering
    Volume11
    Pages (from-to)195-207
    ISSN1937-3333
    DOIs
    Publication statusPublished - 12 Feb 2018

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 3 - Good Health and Well-being
      SDG 3 Good Health and Well-being

    Keywords

    • Cancer treatment
    • Computational modeling and simulation
    • Finite element models
    • Tumor-treating fields (TTFields)

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