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 - Funding Information:
This study was financially supported by a grant from the Dutch Cancer Society (KWF project RUG 2015-7899 ).
Publisher Copyright:
© 2020 The Authors
Copyright:
Copyright 2020 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.
KW - Head and neck
KW - Normal Tissue Complication Probability models
KW - Normal tissue
KW - Statistical methods
UR - http://www.scopus.com/inward/record.url?scp=85084230104&partnerID=8YFLogxK
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 & Oncology
JF - Radiotherapy & Oncology
ER -