Dose response explorer: an integrated open-source tool for exploring and modelling radiotherapy dose-volume outcome relationships

被引:78
作者
El Naqa, I. [1 ]
Suneja, G.
Lindsay, P. E.
Hope, A. J.
Alaly, J. R.
Vicic, M.
Bradley, J. D.
Apte, A.
Deasy, J. O.
机构
[1] Washington Univ, St Louis, MO 63130 USA
[2] Brown Univ, Sch Med, Providence, RI 02912 USA
关键词
D O I
10.1088/0031-9155/51/22/001
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
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.
引用
收藏
页码:5719 / 5735
页数:17
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