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Robust Modality Selection in Radiotherapy

  • Sevnaz Nourollahi
  • Archis Ghate
  • Minsun KimEmail author
Conference paper
Part of the Springer Proceedings in Business and Economics book series (SPBE)

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.

Notes

Acknowledgements

This research was funded in part by the National Science Foundation via grant CMMI #1560476.

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Industrial & Systems EngineeringUniversity of WashingtonSeattleUSA
  2. 2.Radiation OncologyUniversity of WashingtonSeattleUSA

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