Key challenges in normal tissue complication probability model development and validation: towards a comprehensive strategy
Key challenges in normal tissue complication probability model development and validation: towards a comprehensive strategy
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DOI：
10.1016/j.radonc.2020.04.012
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发表时间：
2020-07-01
影响因子：
5.7
通讯作者：
van der Schaaf, Arjen
中科院分区：
文献类型：
--
作者：
Van den Bosch, Lisa;Schuit, Ewoud;van der Schaaf, Arjen
正常组织并发症概率（NTCP）模型可用于治疗计划优化和新兴治疗技术的患者选择。我们讨论并提出了解决NTCP模型开发和验证中的关键挑战的方法学方法，包括：缺失数据，非线性响应关系，预测因子之间的多重共线性，过拟合，概括性和在多个时间点预测多个并发症等级。所选择的方法学途径旨在提高未来NTCP模型的准确性、透明度和稳健性。我们使用临床数据证明了我们的方法。(C)2020年，任作家。由爱思唯尔公司出版
Normal Tissue Complication Probability (NTCP) models can be used for treatment plan optimisation and patient selection for emerging treatment techniques. We discuss and suggest methodological approaches to address key challenges in NTCP model development and validation, including: missing data, non-linear response relationships, multicollinearity between predictors, overfitting, generalisability and the prediction of multiple complication grades at multiple time points. The methodological approaches chosen are aimed to improve the accuracy, transparency and robustness of future NTCP-models. We demonstrate our methodological approaches using clinical data. (C) 2020 The Authors. Published by Elsevier B.V.