Dose response explorer: an integrated open-source tool for exploring and modelling radiotherapy dose-volume outcome relationships
Dose response explorer: an integrated open-source tool for exploring and modelling radiotherapy dose-volume outcome relationships
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DOI：
10.1088/0031-9155/51/22/001
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发表时间：
2006-11-21
影响因子：
3.5
通讯作者：
Deasy, J. O.
中科院分区：
文献类型：
--
作者：
El Naqa, I.;Suneja, G.;Deasy, J. O.
放射治疗结果模型是治疗、临床和生物学因素的复杂函数。我们的目标是为临床医生和科学家提供一个准确，灵活和用户友好的软件工具，以探索放射治疗结果数据，并建立统计肿瘤控制或正常组织并发症模型。该软件工具，称为剂量响应探测器系统（DREES），是基于Matlab的，并使用命名字段结构数组数据类型。DREES/Matlab与另一个开源工具（CERR）相结合，为分析治疗结果提供了一个环境。DREES提供了许多放射治疗结果建模功能，包括（1）分析正常组织并发症概率（NTCP）和肿瘤控制概率（TCP）模型的拟合，（2）多个剂量-体积变量的组合建模（例如，例如，在一个实施例中，平均剂量、最大剂量等）和临床因素（年龄、性别、阶段等），（3）使用自助统计法手动或自动选择逻辑或精算模型变量，（4）估计模型参数的不确定性，（5）使用斯皮尔曼秩相关和卡方统计、箱形图对单变量和多变量分析进行性能评估，列线图、Kaplan-Meier生存图和受试者操作特征曲线，以及（6）使用各种图可视化NTCP或TCP预测与所选变量模型的图形能力。DREES为临床研究人员提供了一个定制的放射治疗结果建模工具。DREES是免费分发的。我们希望根据用户的反馈继续开发DREES。
Radiotherapy treatment outcome models are a complicated function of treatment, clinical and biological factors. Our objective is to provide clinicians and scientists with an accurate, flexible and user-friendly software tool to explore radiotherapy outcomes data and build statistical tumour control or normal tissue complications models. The software tool, called the dose response explorer system ( DREES), is based on Matlab, and uses a named-field structure array data type. DREES/Matlab in combination with another open-source tool ( CERR) provides an environment for analysing treatment outcomes. DREES provides many radiotherapy outcome modelling features, including ( 1) fitting of analytical normal tissue complication probability ( NTCP) and tumour control probability ( TCP) models, ( 2) combined modelling of multiple dose-volume variables ( e. g., mean dose, max dose, etc) and clinical factors ( age, gender, stage, etc) using multi-term regression modelling, ( 3) manual or automated selection of logistic or actuarial model variables using bootstrap statistical resampling, ( 4) estimation of uncertainty in model parameters, ( 5) performance assessment of univariate and multivariate analyses using Spearman's rank correlation and chi-square statistics, boxplots, nomograms, Kaplan-Meier survival plots, and receiver operating characteristics curves, and ( 6) graphical capabilities to visualize NTCP or TCP prediction versus selected variable models using various plots. DREES provides clinical researchers with a tool customized for radiotherapy outcome modelling. DREES is freely distributed. We expect to continue developing DREES based on user feedback.