[P25] Towards a multiphysics model for tumor response to combined-hyperthermia-radiotherapy treatment

Conference paper

Japan K. Patel, Richard Vasques, Barry D. Ganapol
Proceedings of International Conference on Mathematics & Computational Methods Applied to Nuclear Science & Engineering, Portland, OR, 2019 Aug

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APA Click to copy
Patel, J. K., Vasques, R., & Ganapol, B. D. (2019). [P25] Towards a multiphysics model for tumor response to combined-hyperthermia-radiotherapy treatment. In Proceedings of International Conference on Mathematics & Computational Methods Applied to Nuclear Science & Engineering. Portland, OR.

Chicago/Turabian Click to copy
Patel, Japan K., Richard Vasques, and Barry D. Ganapol. “[P25] Towards a Multiphysics Model for Tumor Response to Combined-Hyperthermia-Radiotherapy Treatment.” In Proceedings of International Conference on Mathematics &Amp; Computational Methods Applied to Nuclear Science &Amp; Engineering. Portland, OR, 2019.

MLA Click to copy
Patel, Japan K., et al. “[P25] Towards a Multiphysics Model for Tumor Response to Combined-Hyperthermia-Radiotherapy Treatment.” Proceedings of International Conference on Mathematics &Amp; Computational Methods Applied to Nuclear Science &Amp; Engineering, 2019.

BibTeX Click to copy

@inproceedings{japan2019a,
  title = {[P25] Towards a multiphysics model for tumor response to combined-hyperthermia-radiotherapy treatment},
  year = {2019},
  month = aug,
  address = {Portland, OR},
  journal = {Proceedings of International Conference on Mathematics & Computational Methods Applied to Nuclear Science & Engineering},
  author = {Patel, Japan K. and Vasques, Richard and Ganapol, Barry D.},
  month_numeric = {8}
}

ABSTRACT: We develop a multiphysics-based model to predict the response of localized tumors to combined-hyperthermia-radiotherapy (CHR) treatment. This procedure combines hyperthermia (tumor heating) with standard radiotherapy to improve efficacy of the overall treatment. In addition to directly killing tumor cells, tumor heating amends several parameters within the tumor microenvironment. This leads to radiosensitization, which improves the performance of radiotherapy while reducing the side-effects of excess radiation in the surrounding normal tissue. Existing tools to model this kind of treatment consider each of the physics separately. The model presented in this paper accounts for the synergy between hyperthermia and radiotherapy providing a more realistic and holistic approach to simulate CHR treatment. Our model couples radiation transport and heat-transfer with cell population dynamics.