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
Clinical studies of the dependence of normal tissue response on dose-volume factors are often confus...
<p><b>Purpose/Objectives:</b> To develop a normal tissue complication probability (NTCP) model for l...
The normal tissue complication probability (NTCP) models that are currently being proposed for estim...
Normal Tissue Complication Probability (NTCP) models can be used for treatment plan optimisation and...
Normal Tissue Complication Probability (NTCP) models can be used for treatment plan optimisation and...
PURPOSE: To investigate the applicability and value of double cross-validation and permutation tests...
Purpose: To present a fully automatic method to generate multiparameter normal tissue complication ...
Mathematical models of normal tissue complication probability (NTCP) able to robustly predict radiat...
This work has been partially supported by French National Research Agency (ANR) through project TIGR...
The NTCP methodology evaluating side-effects (S-Es) was initially used in radiotherapy (RT), and lat...
PURPOSE: To study the impact of different statistical learning methods on the prediction performance...
One of the objectives of the ALLEGRO project has been to build and test the validity and accuracy of...
Clinical studies of the dependence of normal tissue response on dose-volume factors are often confus...
<p><b>Purpose/Objectives:</b> To develop a normal tissue complication probability (NTCP) model for l...
The normal tissue complication probability (NTCP) models that are currently being proposed for estim...
Normal Tissue Complication Probability (NTCP) models can be used for treatment plan optimisation and...
Normal Tissue Complication Probability (NTCP) models can be used for treatment plan optimisation and...
PURPOSE: To investigate the applicability and value of double cross-validation and permutation tests...
Purpose: To present a fully automatic method to generate multiparameter normal tissue complication ...
Mathematical models of normal tissue complication probability (NTCP) able to robustly predict radiat...
This work has been partially supported by French National Research Agency (ANR) through project TIGR...
The NTCP methodology evaluating side-effects (S-Es) was initially used in radiotherapy (RT), and lat...
PURPOSE: To study the impact of different statistical learning methods on the prediction performance...
One of the objectives of the ALLEGRO project has been to build and test the validity and accuracy of...
Clinical studies of the dependence of normal tissue response on dose-volume factors are often confus...
<p><b>Purpose/Objectives:</b> To develop a normal tissue complication probability (NTCP) model for l...
The normal tissue complication probability (NTCP) models that are currently being proposed for estim...