| Literature DB >> 32388149 |
Lisa Van den Bosch1, Ewoud Schuit2, Hans Paul van der Laan3, Johannes B Reitsma2, Karel G M Moons2, Roel J H M Steenbakkers3, Frank J P Hoebers4, Johannes A Langendijk3, Arjen van der Schaaf3.
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.Entities:
Keywords: Head and neck; Normal Tissue Complication Probability models; Normal tissue; Statistical methods
Mesh:
Year: 2020 PMID: 32388149 DOI: 10.1016/j.radonc.2020.04.012
Source DB: PubMed Journal: Radiother Oncol ISSN: 0167-8140 Impact factor: 6.280