Multi-source data approach for personalized outcome prediction in lung cancer screening: update from the NELSON trial

Trials show that low-dose computed tomography (CT) lung cancer screening in long-term (ex-)smokers reduces lung cancer mortality. However, many individuals were exposed to unnecessary diagnostic procedures. This project aims to improve the efficiency of lung cancer screening by identifying high-risk...

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Detalles Bibliográficos
Autores principales: Sidorenkov, Grigory, Stadhouders, Ralph, Jacobs, Colin, Mohamed Hoesein, Firdaus A.A., Gietema, Hester A., Nackaerts, Kristiaan, Saghir, Zaigham, Heuvelmans, Marjolein A., Donker, Hylke C., Aerts, Joachim G., Vermeulen, Roel, Uitterlinden, Andre, Lenters, Virissa, van Rooij, Jeroen, Schaefer-Prokop, Cornelia, Groen, Harry J.M., de Jong, Pim A., Cornelissen, Robin, Prokop, Mathias, de Bock, Geertruida H., Vliegenthart, Rozemarijn
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Netherlands 2023
Materias:
Cohort Update
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10082103/
https://www.ncbi.nlm.nih.gov/pubmed/36943671
http://dx.doi.org/10.1007/s10654-023-00975-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10082103/
https://www.ncbi.nlm.nih.gov/pubmed/36943671
http://dx.doi.org/10.1007/s10654-023-00975-9

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