Abstract
External beam radiotherapy attempts to maximize tumor-damage while limiting toxicity on healthy tissue. Although several modalities with distinctive biological and physical properties are available, none is dominant. A mathematical formulation for optimal modality selection with uncertainty in these properties is presented. Uncertainty is incorporated via a robust approach. The problem decomposes into finitely many subproblems with analytically solvable Karush-Kuhn-Tucker conditions. Numerical experiments demonstrate how uncertainty affects optimal solutions even when clinical intuition is not readily available.
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Acknowledgements
This research was funded in part by the National Science Foundation via grant CMMI #1560476.
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Nourollahi, S., Ghate, A., Kim, M. (2019). Robust Modality Selection in Radiotherapy. In: Yang, H., Qiu, R. (eds) Advances in Service Science. INFORMS-CSS 2018. Springer Proceedings in Business and Economics. Springer, Cham. https://doi.org/10.1007/978-3-030-04726-9_2
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DOI: https://doi.org/10.1007/978-3-030-04726-9_2
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