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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

机译：来自大型临床试验数据组的剂量响应的衍生和表示：雷达前列腺放射治疗试验的一个例子

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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 infonnation, 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.
机译：在多个时间点以多个时间点进行评估的大型多中心放射疗法试验可以生成广泛的数据集。我们已经研究了用于呈现该数据的图形技术和相关的潜在剂量响应信息，以指导统计分析和将结果转化为未来的患者治疗所必需的。关系数据库用于归档到历史记录到Trog 03.04雷达试验的患者的审查计划数据。查看软件用于清洁和增强数据。开发脚本以导出任意剂量直方图数据，该数据与临床毒性数据相结合，中位随访72个月。开发的剂量响应的图形表示包括患病率设定，单变量性逻辑回归和剂量 - 体积点差比，以及通过ROC分析的连续切割点推导。这些表示表明结构和时间点的可变毒性协会。

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