A Primer on Dose-Response Data Modeling in Radiation Therapy.
A Primer on Dose-Response Data Modeling in Radiation Therapy.
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DOI：
10.1016/j.ijrobp.2020.11.020
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发表时间：
2021-05-01
影响因子：
7
通讯作者：
El Naqa, Issam
中科院分区：
文献类型：
--
作者：
Moiseenko, Vitali;Marks, Lawrence B.;Grimm, Jimm;Jackson, Andrew;Milano, Michael T.;Hattangadi-Gluth, Jona A.;Huynh-Le, Minh-Phuong;Pettersson, Niclas;Yorke, Ellen;El Naqa, Issam
概述了用于评估RT相关终点的剂量反应的常见方法，并以作为HyTec努力的一部分而分析的肺毒性数据集为例。提出的每个组成部分(例如，数据驱动分析、剂量-反应分析和计算模型预测的不确定性)都使用既定的方法进行处理。具体而言，最大似然法用于计算常用Logistic模型的最佳参数值，轮廓似然法用于计算模型参数的可信区间，似然比用于确定观测数据是否具有统计学意义。用Bootstrap方法计算模型预测的可信区间。讨论了模型参数的相关行为及其对解释剂量效应的意义。概述了用于评估RT相关终点的剂量反应的常见方法。描述了数据驱动分析和剂量-反应建模的具体组件。具体地，给出了计算最佳参数值和可信区间、确定观测数据拟合是否具有统计学意义、计算模型预测的可信区间和考虑模型参数的相关行为的方法。对临床实践中解释剂量反应的意义进行了讨论。
An overview of common approaches used to assess for a dose-response for RT-associated endpoints is presented, using lung toxicity data sets analyzed as a part of the HyTEC effort as an example. Each component presented (e.g., data-driven analysis, dose-response analysis, and calculating uncertainties on model prediction) is addressed using established approaches. Specifically, the maximum likelihood method was used to calculate best parameter values of the commonly used logistic model, the profile-likelihood to calculate confidence intervals on model parameters, and the likelihood ratio to determine if the observed data fit is statistically significant. The bootstrap method was used to calculate confidence intervals for model predictions. Correlated behavior of model parameters and implication for interpreting dose-response are discussed. An overview of common approaches used to assess for a dose-response for RT-associated endpoints is presented. Specific components of data-driven analysis and dose-response modeling are described. Specifically, methods to calculate best parameter values and confidence intervals, to determine if the observed data fit is statistically significant, to calculate confidence intervals for model predictions and to account for correlated behavior of model parameters are presented. Implications for interpreting dose-response in clinical practice are discussed.
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DOI：
10.1016/j.ijrobp.2008.04.053
发表时间：
2008-10-01
影响因子：
7
作者：
Tucker, Susan L.;Liu, H. Helen;Liao, Zhongxing;Wei, Xiong;Wang, Shulian;Jin, Hekun;Komaki, Ritsuko;Martel, Mary K.;Mohan, Radhe
通讯作者：
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影响因子：
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影响因子：
5.7
作者：
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DOI：
10.1016/s0360-3016(99)00420-4
发表时间：
2000-01-15
影响因子：
7
作者：
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通讯作者：
Rutqvist, LE
影响因子：
2.6
作者：
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通讯作者：
Tucker, SL