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    Summary

    This study validates computational models for Tumor-Treating Fields (TTFields) cancer therapy. A novel measurement platform and agar phantoms confirm that current source simulations accurately predict electric field distribution.

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    Area of Science:

    • Biomedical Engineering
    • Computational Electromagnetics
    • Oncology

    Background:

    • Tumor-Treating Fields (TTFields) represent a significant advancement in cancer therapy.
    • Accurate computational simulation of TTFields is crucial for treatment optimization.
    • Validation of these simulation models is currently limited.

    Purpose of the Study:

    • To develop and detail a measurement platform for validating TTFields simulation models.
    • To assess the accuracy of TTFields computational models in predicting electric field distribution.
    • To compare simulation results with experimental measurements in controlled phantom environments.

    Main Methods:

    • Construction of homogeneous agar phantoms with varying conductivity.
    • Voltage measurements at six equidistance points within the phantom.
    • Calculation of electric field (EF) intensity at different frequencies.
    • Comparison of measured EF intensities with simulated values from two source models.

    Main Results:

    • The study successfully implemented a measurement platform for TTFields validation.
    • Experimental data on EF intensity was obtained from agar phantoms.
    • The current source simulation model demonstrated high reliability in predicting EF intensity.
    • Discrepancies were noted between measured and simulated values, prompting further investigation.

    Conclusions:

    • The developed measurement platform provides a reliable method for validating TTFields simulation accuracy.
    • Current source simulation models are effective for predicting electric field distribution in TTFields therapy.
    • Further research is warranted to refine simulation models and improve prediction accuracy.