Key challenges in normal tissue complication probability model development and validation: towards a comprehensive strategy
Publication date
2020-07
Authors
Van den Bosch, Lisa
Schuit, E
van der Laan, Hans Paul
Reitsma, Johannes J B
Moons, Karel G M
Steenbakkers, Roel J H M
Hoebers, Frank J P
Langendijk, Johannes A
van der Schaaf, Arjen
Editors
Advisors
Supervisors
Document Type
Article
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License
cc_by_nc_nd
Abstract
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.
Keywords
Head and neck, Normal Tissue Complication Probability models, Normal tissue, Statistical methods, Hematology, Oncology, Radiology Nuclear Medicine and imaging
Citation
Van den Bosch, L, Schuit, E, van der Laan, H P, Reitsma, J B, Moons, K G M, Steenbakkers, R J H M, Hoebers, F J P, Langendijk, J A & van der Schaaf, A 2020, 'Key challenges in normal tissue complication probability model development and validation : towards a comprehensive strategy', Radiotherapy & Oncology, vol. 148, pp. 151-156. https://doi.org/10.1016/j.radonc.2020.04.012