Key challenges in normal tissue complication probability model development and validation: towards a comprehensive strategy

Lisa Van den Bosch*, Ewoud Schuit, Hans Paul van der Laan, Johannes B. Reitsma, Karel G. M. Moons, Roel J. H. M. Steenbakkers, Frank J. P. Hoebers, Johannes A. Langendijk, Arjen van der Schaaf

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

Original languageEnglish
Pages (from-to)151-156
Number of pages6
JournalRadiotherapy and Oncology
Volume148
DOIs
Publication statusPublished - Jul 2020

Keywords

  • Normal Tissue Complication Probability models
  • Normal tissue
  • Statistical methods
  • Head and neck
  • MULTIVARIABLE PREDICTION MODEL
  • INDIVIDUAL PROGNOSIS
  • DIAGNOSIS TRIPOD
  • IMPUTATION
  • RADIOTHERAPY
  • PROTONS
  • RISK

Cite this

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 and Oncology, 148, 151-156. https://doi.org/10.1016/j.radonc.2020.04.012