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Multi-criteria optimization and decision-making in radiotherapy

Author

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  • Breedveld, Sebastiaan
  • Craft, David
  • van Haveren, Rens
  • Heijmen, Ben

Abstract

Radiotherapy (radiation therapy) is one of the main treatments for cancer. The aim is to deliver a prescribed radiation dose to the tumor, while keeping the unavoidable dose to the surrounding healthy organs as low as possible to minimize the probability of developing radiation induced complications. Radiotherapy treatment plan optimization strives to find machine parameters that result in desirable treatment plans. This is a large scale nonconvex multi-criteria optimization problem.

Suggested Citation

  • Breedveld, Sebastiaan & Craft, David & van Haveren, Rens & Heijmen, Ben, 2019. "Multi-criteria optimization and decision-making in radiotherapy," European Journal of Operational Research, Elsevier, vol. 277(1), pages 1-19.
    • Handle: RePEc:eee:ejores:v:277:y:2019:i:1:p:1-19
    DOI: 10.1016/j.ejor.2018.08.019
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    References listed on IDEAS

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    Cited by:

    1. Dias, Luis C. & Dias, Joana & Ventura, Tiago & Rocha, Humberto & Ferreira, Brígida & Khouri, Leila & Lopes, Maria do Carmo, 2022. "Learning target-based preferences through additive models: An application in radiotherapy treatment planning," European Journal of Operational Research, Elsevier, vol. 302(1), pages 270-279.
    2. Oylum S¸eker & Mucahit Cevik & Merve Bodur & Young Lee & Mark Ruschin, 2023. "A Multiobjective Approach for Sector Duration Optimization in Stereotactic Radiosurgery Treatment Planning," INFORMS Journal on Computing, INFORMS, vol. 35(1), pages 248-264, January.
    3. Raith, Andrea & Ehrgott, Matthias & Fauzi, Fariza & Lin, Kuan-Min & Macann, Andrew & Rouse, Paul & Simpson, John, 2022. "Integrating Data Envelopment Analysis into radiotherapy treatment planning for head and neck cancer patients," European Journal of Operational Research, Elsevier, vol. 296(1), pages 289-303.

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