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Robust Modality Selection in Radiotherapy

In: Advances in Service Science

Author

Listed:
  • Sevnaz Nourollahi

    (University of Washington)

  • Archis Ghate

    (University of Washington)

  • Minsun Kim

    (University of Washington)

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.

Suggested Citation

  • Sevnaz Nourollahi & Archis Ghate & Minsun Kim, 2019. "Robust Modality Selection in Radiotherapy," Springer Proceedings in Business and Economics, in: Hui Yang & Robin Qiu (ed.), Advances in Service Science, pages 11-20, Springer.
    • Handle: RePEc:spr:prbchp:978-3-030-04726-9_2
    DOI: 10.1007/978-3-030-04726-9_2
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