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

Matthias Ehrgott (), Andrea Raith (), Glyn Shentall (), John Simpson () and Emma Stubington ()
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Matthias Ehrgott: Lancaster University
Andrea Raith: The University of Auckland
Glyn Shentall: Royal Preston Hospital
John Simpson: Calvary Mater Newcastle
Emma Stubington: Lancaster University

Chapter Chapter 28 in The Palgrave Handbook of Operations Research, 2022, pp 883-897 from Springer

Abstract: 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.

Date: 2022
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DOI: 10.1007/978-3-030-96935-6_28

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