Robust Modality Selection in Radiotherapy

Sevnaz Nourollahi; Archis Ghate; Minsun Kim

doi:10.1007/978-3-030-04726-9_2

Robust Modality Selection in Radiotherapy

Sevnaz Nourollahi
, Archis Ghate
, Minsun Kim

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Scopus citations

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.

Original language	English (US)
Title of host publication	Advances in Service Science - Proceedings of the 2018 INFORMS International Conference on Service Science
Editors	Hui Yang, Robin Qiu
Publisher	Springer Science and Business Media B.V.
Pages	11-20
Number of pages	10
ISBN (Print)	9783030047252
DOIs	https://doi.org/10.1007/978-3-030-04726-9_2
State	Published - 2019
Externally published	Yes
Event	INFORMS International Conference on Service Science, ICSS 2018 - Phoenix, United States Duration: Nov 3 2018 → Nov 3 2018

Publication series

Name	Springer Proceedings in Business and Economics
ISSN (Print)	2198-7246
ISSN (Electronic)	2198-7254

Conference

Conference	INFORMS International Conference on Service Science, ICSS 2018
Country/Territory	United States
City	Phoenix
Period	11/3/18 → 11/3/18

Bibliographical note

Publisher Copyright:
© 2019, Springer Nature Switzerland AG.

Publisher link

10.1007/978-3-030-04726-9_2

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Nourollahi, S., Ghate, A., & Kim, M. (2019). Robust Modality Selection in Radiotherapy. In H. Yang, & R. Qiu (Eds.), Advances in Service Science - Proceedings of the 2018 INFORMS International Conference on Service Science (pp. 11-20). (Springer Proceedings in Business and Economics). Springer Science and Business Media B.V.. https://doi.org/10.1007/978-3-030-04726-9_2

Robust Modality Selection in Radiotherapy. / Nourollahi, Sevnaz; Ghate, Archis; Kim, Minsun.
Advances in Service Science - Proceedings of the 2018 INFORMS International Conference on Service Science. ed. / Hui Yang; Robin Qiu. Springer Science and Business Media B.V., 2019. p. 11-20 (Springer Proceedings in Business and Economics).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Nourollahi, S, Ghate, A & Kim, M 2019, Robust Modality Selection in Radiotherapy. in H Yang & R Qiu (eds), Advances in Service Science - Proceedings of the 2018 INFORMS International Conference on Service Science. Springer Proceedings in Business and Economics, Springer Science and Business Media B.V., pp. 11-20, INFORMS International Conference on Service Science, ICSS 2018, Phoenix, United States, 11/3/18. https://doi.org/10.1007/978-3-030-04726-9_2

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author = "Sevnaz Nourollahi and Archis Ghate and Minsun Kim",

note = "Publisher Copyright: {\textcopyright} 2019, Springer Nature Switzerland AG.; INFORMS International Conference on Service Science, ICSS 2018 ; Conference date: 03-11-2018 Through 03-11-2018",

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AB - 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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Robust Modality Selection in Radiotherapy

Abstract

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