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)
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)
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| Hauptverfasser: | , , , , , , , |
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| Dokumenttyp: | Article (Journal) |
| Sprache: | Englisch |
| Veröffentlicht: |
2021
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| In: |
Translational Lung Cancer Research
Year: 2021, Jahrgang: 10, Heft: 3, Pages: 1305-1317 |
| ISSN: | 2226-4477 |
| DOI: | 10.21037/tlcr-20-1173 |
| Online-Zugang: | Verlag, lizenzpflichtig, Volltext: https://doi.org/10.21037/tlcr-20-1173 Verlag, lizenzpflichtig, Volltext: https://tlcr.amegroups.com/article/view/50104 |
| Verfasserangaben: | Sandra González Maldonado, Lucas Cory Hynes, Erna Motsch, Claus-Peter Heussel, Hans-Ulrich Kauczor, Hilary A. Robbins, Stefan Delorme, Rudolf Kaaks |
| Zusammenfassung: | 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) |
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| Beschreibung: | Gesehen am 16.09.2021 |
| Beschreibung: | Online Resource |
| ISSN: | 2226-4477 |
| DOI: | 10.21037/tlcr-20-1173 |