Journal article

Two non-parametric methods for derivation of constraints from radiotherapy dose-histogram data

MA Ebert, SL Gulliford, F Buettner, K Foo, A Haworth, A Kennedy, DJ Joseph, JW Denham

Physics in Medicine and Biology | IOP PUBLISHING LTD | Published : 2014

Abstract

Dose constraints based on histograms provide a convenient and widely-used method for informing and guiding radiotherapy treatment planning. Methods of derivation of such constraints are often poorly described. Two non-parametric methods for derivation of constraints are described and investigated in the context of determination of dose-specific cut-points-values of the free parameter (e.g., percentage volume of the irradiated organ) which best reflect resulting changes in complication incidence. A method based on receiver operating characteristic (ROC) analysis and one based on a maximally-selected standardized rank sum are described and compared using rectal toxicity data from a prostate ra..

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University of Melbourne Researchers

Grants

Awarded by Cancer Australia and the Diagnostics and Technology Branch of the Australian Government Department of Health and Ageing


Awarded by National Health and Medical Research Council


Awarded by Cancer Research UK


Funding Acknowledgements

We acknowledge funding from Cancer Australia and the Diagnostics and Technology Branch of the Australian Government Department of Health and Ageing (grant 501106), the National Health and Medical Research Council (grant 1006447) and the University of Western Australia (Research Collaboration Award). We thank the Cancer Council Western Australia for a John Nott Fellowship for travel support. We are grateful to Rachel Kearvell, Michelle Krawiec, Sharon Richardson and the RADAR trial team for providing high quality trial data.