Validation of multivariable lung cancer risk prediction models for the personalized assignment of optimal screening frequency: a retrospective analysis of data from the German Lung Cancer Screening Intervention Trial (LUSI).

Transl Lung Cancer Res · 2021 · PMC8044498 · PMID 33889511

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did not reach statistical significanceno p-value reported

The LCRAT model, designed to be used in the absence of screening (AUC =0.68) appeared somewhat inferior to the combination of LCRAT plus CT characteristics (LCRAT + CT), although this difference in performance did not reach statistical significance, possibly due to the small sample size of our study.

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