Interactive decision-support tool for risk-based radiation therapy plan comparison for hodgkin lymphoma

N. Patrik Brodin, Maja V. Maraldo, Marianne C. Aznar, Ivan R. Vogelius, Peter M. Petersen, Søren M. Bentzen, Lena Specht

Research output: Contribution to journalArticlepeer-review

30 Scopus citations


Purpose To present a novel tool that allows quantitative estimation and visualization of the risk of various relevant normal tissue endpoints to aid in treatment plan comparison and clinical decision making in radiation therapy (RT) planning for Hodgkin lymphoma (HL). Methods and Materials A decision-support tool for risk-based, individualized treatment plan comparison is presented. The tool displays dose-response relationships, derived from published clinical data, for a number of relevant side effects and thereby provides direct visualization of the trade-off between these endpoints. The Quantitative Analyses of Normal Tissue Effects in the Clinic reports were applied, complemented with newer data where available. A "relevance score" was assigned to each data source, reflecting how relevant the input data are to current RT for HL. Results The tool is applied to visualize the local steepness of dose-response curves to drive the reoptimization of a volumetric modulated arc therapy treatment plan for an HL patient with head-and-neck involvement. We also use this decision-support tool to visualize and quantitatively evaluate the trade-off between a 3-dimensional conformal RT plan and a volumetric modulated arc therapy plan for a patient with mediastinal HL. Conclusion This multiple-endpoint decision-support tool provides quantitative risk estimates to supplement the clinical judgment of the radiation oncologist when comparing different RT options.

Original languageEnglish (US)
Pages (from-to)433-445
Number of pages13
JournalInternational Journal of Radiation Oncology Biology Physics
Issue number2
StatePublished - Feb 1 2014
Externally publishedYes

ASJC Scopus subject areas

  • Radiation
  • Oncology
  • Radiology Nuclear Medicine and imaging
  • Cancer Research


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