TY - JOUR
T1 - Key challenges in normal tissue complication probability model development and validation
T2 - towards a comprehensive strategy
AU - Van den Bosch, Lisa
AU - Schuit, Ewoud
AU - van der Laan, Hans Paul
AU - Reitsma, Johannes B
AU - Moons, Karel G M
AU - Steenbakkers, Roel J H M
AU - Hoebers, Frank J P
AU - Langendijk, Johannes A
AU - van der Schaaf, Arjen
N1 - Copyright © 2020 The Authors. Published by Elsevier B.V. All rights reserved.
PY - 2020/7
Y1 - 2020/7
N2 - 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.
AB - 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.
U2 - 10.1016/j.radonc.2020.04.012
DO - 10.1016/j.radonc.2020.04.012
M3 - Article
C2 - 32388149
SN - 0167-8140
VL - 148
SP - 151
EP - 156
JO - Radiotherapy and Oncology
JF - Radiotherapy and Oncology
ER -