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Feasibility evaluation of tumor treating fields for brainstem gliomas.

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Tumor Treating Fields (TTFields), and their concomitant application with FOLFOX, are effective for the treatment of gastric cancer cells.

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Efficacy and immunogenic effects of Tumor Treating Fields (TTFields) in preclinical models of pancreatic ductal adenocarcinoma, with and without gemcitabine/nab-paclitaxel.

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First steps to creating a platform for high throughput simulation of TTFields.

Hadas Sara Hershkovich, Zeev Bomzon, Cornelia Wenger

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
    |March 9, 2017
    PubMed
    Summary
    This summary is machine-generated.

    Tumor Treating Fields (TTFields) optimize glioblastoma treatment by affecting cancer cell division. A new platform allows rapid, simplified simulations of TTFields distribution in the brain for improved clinical application.

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    Area of Science:

    • Biophysics
    • Medical Physics
    • Computational Biology

    Background:

    • Tumor Treating Fields (TTFields) are FDA-approved electric fields for glioblastoma (GBM) treatment.
    • Understanding TTFields distribution in the brain is crucial for optimizing therapy.
    • Current simulation methods for TTFields require significant time and expertise.

    Purpose of the Study:

    • To develop a platform for rapid, high-throughput simulation of TTFields distribution.
    • To simplify the process of creating and utilizing realistic head models for TTFields simulations.
    • To enable non-expert users to perform and evaluate TTFields simulations for clinical optimization.

    Main Methods:

    • Development of a user-friendly platform for computational simulations.
    • Utilizing realistic head models for simulating TTFields distribution.
    • High-throughput computational simulations for multiple clinical scenarios.

    Main Results:

    • The platform enables rapid simulation of TTFields distributions.
    • It allows for high-throughput analysis of various clinical scenarios.
    • The simulation setup is intuitive, accessible to non-expert users.

    Conclusions:

    • The developed platform significantly accelerates TTFields distribution simulations.
    • It facilitates systematic studies and optimization of TTFields delivery.
    • This tool supports improved clinical application of TTFields for brain tumor treatment.