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Derivation and representation of dose-volume response from large clinical trial data sets: an example from the RADAR prostate radiotherapy trial

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posted on 2025-05-10, 10:44 authored by M. A. Ebert, K. Foo, J. W. Denham, A. Haworth, S. L Gulliford, R. Kearvall, A. Kennedy, S. Richardson, M. Krawiec, N. Stewart, D. J. Joseph
Large multicentre radiotherapy trials incorporating assessment of multiple outcomes at multiple timepoints can generate extensive datasets. We have investigated graphical techniques for presentation of this data and the associated underlying dose-volume response information, necessary for guiding statistical analyses and translating outcomes to future patient treatments. A relational database was used to archive reviewed plan data for patients accrued to the TROG 03.04 RADAR trial. Viewing software was used to clean and enhance the data. Scripts were developed to export arbitrary dose-histogram data which was combined with clinical toxicity data with a median follow-up of 72 months. Graphical representations of dose-volume response developed include prevalence atlasing, univariate logistic regression and dose-volume-point odds ratios, and continuous cut-point derivation via ROC analysis. These representations indicate variable association of toxicities across structures and time-points.

History

Source title

Journal of Physics: Conference Series, Volume 489

Name of conference

XVII International Conference on the Use of Computers in Radiation Therapy (ICCR 2013)

Location

Melbourne

Start date

2013-05-06

End date

2013-05-09

Publisher

Institute of Physics (IOP)

Place published

Bristol, UK

Language

  • en, English

College/Research Centre

Faculty of Health and Medicine

School

School of Medicine and Public Health

Rights statement

Published under licence in Journal of Physics: Conference Series by IOP Publishing Ltd.

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