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

Martin Ebert, K. Foo, A. Haworth, S.L. Gulliford, R. Kearvall, A.M. Kennedy, S.C. Richardson, M. Krawiec, N. Stewart, David Joseph, J.W. Denham

    Research output: Chapter in Book/Conference paperConference paper

    1 Citation (Scopus)

    Abstract

    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. © Published under licence by IOP Publishing Ltd.
    Original languageEnglish
    Title of host publicationXVII International Conference on the Use of Computers in Radiation Therapy (ICCR 2013)
    PublisherIOP Publishing
    Pages012090
    Volume489
    ISBN (Print)17426588
    DOIs
    Publication statusPublished - 2014
    Event17th International Conference on the Use of Computers in Radiation Therapy - Melbourne, Australia
    Duration: 6 May 20139 May 2013

    Conference

    Conference17th International Conference on the Use of Computers in Radiation Therapy
    CountryAustralia
    CityMelbourne
    Period6/05/139/05/13

    Fingerprint Dive into the research topics of 'Derivation and representation of dose-volume response from large clinical trial data sets: An example from the RADAR prostate radiotherapy trial'. Together they form a unique fingerprint.

    Cite this