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5. Current and Future Perspectives on Computed Tomography Screening for Lung Cancer: A Roadmap From 2023 to 2027 From the International Association for the Study of Lung Cancer

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

12. Early imaging biomarkers of lung cancer, COPD and coronary artery disease in the general population : rationale and design of the ImaLife (Imaging in Lifelines) Study

24. Developing a Pan-European Technical Standard for a Comprehensive High-quality Lung Cancer CT Screening Program. An ERS Technical Standard

25. Detection and size quantification of pulmonary nodules in ultralow-dose versus regular-dose CT: a comparative study in COPD patients

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

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

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

30. Occurrence and lung cancer probability of new solid nodules at incidence screening with low-dose CT: analysis of data from the randomised, controlled NELSON trial

34. Lung cancer probability in patients with CT-detected pulmonary nodules: a prespecified analysis of data from the NELSON trial of low-dose CT screening

38. Visual and quantitative CT-based emphysema and lung cancer: a systematic review and meta-analysis

45. Performance of a deep learning-based lung nodule detection system as an alternative reader in a Chinese lung cancer screening program

46. Pre-admission anticoagulant therapy and mortality in hospitalized COVID-19 patients: A retrospective cohort study

48. A contrast-enhanced-CT-based classification tree model for classifying malignancy of solid lung tumors in a Chinese clinical population

50. Airflow Limitation Increases Lung Cancer Risk in Smokers: The Lifelines Cohort Study.

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