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)

BACKGROUND: Current guidelines for lung cancer screening via low-dose computed tomography recommend annual screening for all candidates meeting basic eligibility criteria. However, lung cancer risk of eligible screening participants can vary widely, and further risk stratification could be used to i...

Descripción completa

Detalles Bibliográficos
Autores principales: González Maldonado, Sandra, Hynes, Lucas Cory, Motsch, Erna, Heussel, Claus-Peter, Kauczor, Hans-Ulrich, Robbins, Hilary A., Delorme, Stefan, Kaaks, Rudolf
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2021
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8044498/
https://www.ncbi.nlm.nih.gov/pubmed/33889511
http://dx.doi.org/10.21037/tlcr-20-1173

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8044498/
https://www.ncbi.nlm.nih.gov/pubmed/33889511
http://dx.doi.org/10.21037/tlcr-20-1173

Ejemplares similares