Radiotherapy Treatment Design Using Mathematical Programming Models

David Sonderman and Philip G. Abrahamson
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David Sonderman: University of Massachusetts, Amherst, Massachusetts
Philip G. Abrahamson: Applied Decision Analysis, Menlo Park, California

Operations Research, 1985, vol. 33, issue 4, 705-725

Abstract: The design of treatment for external beam radiation therapy of malignant tumors is a complex decision-making process. This paper introduces and develops mathematical programming models that can aid this process. After briefly discussing the necessary background material, we state our linear and mixed-integer programming models, along with some variations that can be usefully implemented in some situations. We then compare our design for a case of lung cancer with a standardized approach, and the advantages of our models become evident. We close with several comments about the potential utility of this class of models in treating other types of cancers.

Keywords: 278 optimization in cancer therapy; 633 mathematical programming in cancer therapy (search for similar items in EconPapers)
Date: 1985
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Persistent link: https://EconPapers.repec.org/RePEc:inm:oropre:v:33:y:1985:i:4:p:705-725

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