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A Decision Support Concept for Advanced Treatment Planning for Breast Cancer

In: Operations Research Proceedings 2013

Author

Listed:
  • Alexander Scherrer

    (Institut e for Industrial Mathematics (ITWM))

  • Patrick Rüdiger

    (Institut e for Industrial Mathematics (ITWM))

  • Andreas Dinges

    (Institut e for Industrial Mathematics (ITWM))

  • Karl-Heinz Küfer

    (Institut e for Industrial Mathematics (ITWM))

  • Ilka Schwidde

    (Institut e for Industrial Mathematics (ITWM)
    Kliniken Essen-Mitte)

  • Sherko Kümmel

    (Kliniken Essen-Mitte)

Abstract

Breast cancer is the most common and mortal carcinosis in women and thus a major topic in clinical oncology. Treatment planning features a complex decision making about the various therapy concepts and their possible combinations. The physician plans treatment of a patient based on therapy guide lines and knowledge acquired in similar former patient cases. In particular the latter aspect requires the processing of large amounts of information in order to identify the medically relevant cases. This implies the urgent need for a decision support system in clinical routine. This work introduces a model for description of patient cases in terms of their crucial attributes and a mathematical function concept for the notion of medical relevance. These concepts are then used for an automated search on the set of former patient cases resulting in a comprehensive overview of the medically relevant ones with the therapy steps carried out therein and the observed outcomes. Provided with this information, the physician can conduct time-efficient planning of high quality breast cancer therapies for each individual patient case.

Suggested Citation

  • Alexander Scherrer & Patrick Rüdiger & Andreas Dinges & Karl-Heinz Küfer & Ilka Schwidde & Sherko Kümmel, 2014. "A Decision Support Concept for Advanced Treatment Planning for Breast Cancer," Operations Research Proceedings, in: Dennis Huisman & Ilse Louwerse & Albert P.M. Wagelmans (ed.), Operations Research Proceedings 2013, edition 127, pages 405-411, Springer.
    • Handle: RePEc:spr:oprchp:978-3-319-07001-8_55
    DOI: 10.1007/978-3-319-07001-8_55
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