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Evaluating the Quality of Radiation Therapy Treatment Plans Using Data Envelopment Analyis

In: The Palgrave Handbook of Operations Research

Author

Listed:
  • Matthias Ehrgott

    (Lancaster University)

  • Andrea Raith

    (The University of Auckland)

  • Glyn Shentall

    (Royal Preston Hospital)

  • John Simpson

    (Calvary Mater Newcastle)

  • Emma Stubington

    (Lancaster University)

Abstract

The purpose of external radiation therapyRadiation therapy for cancer treatmentCancer treatment is to deliver a tumouricidal dose of high-energy photon beams to a patient’s tumour volume. At the same time, the dose delivered to healthy organs must be limited. In order to deliver the best possible treatment to an individual patient, it is of fundamental importance to evaluate the quality of a treatment plan in terms of these contradictory goals. In this chapter, we describe the current research in this area using the management science technique of data envelopment analysis (DEA)Data envelopment analysis. We describe the DEA model, the process of selecting inputs and outputs in the model (called feature selection), how to deal with uncertainty in dose calculation and finally the application of the model to inform the planning process and its use as an integrated part of this process.

Suggested Citation

  • Matthias Ehrgott & Andrea Raith & Glyn Shentall & John Simpson & Emma Stubington, 2022. "Evaluating the Quality of Radiation Therapy Treatment Plans Using Data Envelopment Analyis," Springer Books, in: Saïd Salhi & John Boylan (ed.), The Palgrave Handbook of Operations Research, chapter 0, pages 883-897, Springer.
    • Handle: RePEc:spr:sprchp:978-3-030-96935-6_28
    DOI: 10.1007/978-3-030-96935-6_28
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