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Multi-criteria optimization and decision-making in radiotherapy

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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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    Cited by:

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    2. 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.
    3. de Freitas, Juliana Campos & Cantane, Daniela Renata & Rocha, Humberto & Dias, Joana, 2024. "A multiobjective beam angle optimization framework for intensity-modulated radiation therapy," European Journal of Operational Research, Elsevier, vol. 318(1), pages 286-296.
    4. 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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