Statistical validation of normal tissue complication probability models

Cheng-Jian Xu*, Arjen van der Schaaf, Aart van t Veld, Johannes A. Langendijk, Cornelis Schilstra

*Bijbehorende auteur voor dit werk

OnderzoeksoutputAcademicpeer review

29 Citaten (Scopus)

Samenvatting

PURPOSE: To investigate the applicability and value of double cross-validation and permutation tests as established statistical approaches in the validation of normal tissue complication probability (NTCP) models.

METHODS AND MATERIALS: A penalized regression method, LASSO (least absolute shrinkage and selection operator), was used to build NTCP models for xerostomia after radiation therapy treatment of head-and-neck cancer. Model assessment was based on the likelihood function and the area under the receiver operating characteristic curve.

RESULTS: Repeated double cross-validation showed the uncertainty and instability of the NTCP models and indicated that the statistical significance of model performance can be obtained by permutation testing.

CONCLUSION: Repeated double cross-validation and permutation tests are recommended to validate NTCP models before clinical use.

Originele taal-2English
Pagina's (van-tot)E123-E129
Aantal pagina's7
TijdschriftInternational Journal of Radiation Oncology Biology Physics
Volume84
Nummer van het tijdschrift1
DOI's
StatusPublished - 1-sep-2012

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