Lung cancer screening: where do we stand?

Georgia Hardavella, Armin Frille, Katherina Bernadette Sreter, Florence Atrafi, Uraujh Yousaf-Khan, Ferhat Beyaz, Fotis Kyriakou, Elena Bellou, Monica L Mullin, Sam M Janes
Author Information
  1. Georgia Hardavella: 4th-9th Department of Respiratory Medicine, 'Sotiria' Athens' Chest Diseases Hospital, Greece.
  2. Armin Frille: Department of Respiratory Medicine, University of Leipzig, Leipzig, Germany. ORCID
  3. Katherina Bernadette Sreter: Department of Pulmonology, University Hospital Centre "Sestre Milosrdnice", Zagreb, Croatia.
  4. Florence Atrafi: Amphia Hospital, Department of Pulmonary Medicine, Breda, The Netherlands.
  5. Uraujh Yousaf-Khan: Amphia Hospital, Department of Pulmonary Medicine, Breda, The Netherlands.
  6. Ferhat Beyaz: Department of Pulmonary Diseases, Radboud University Medical Centre, Nijmegen, The Netherlands.
  7. Fotis Kyriakou: 4th-9th Department of Respiratory Medicine, 'Sotiria' Athens' Chest Diseases Hospital, Greece.
  8. Elena Bellou: 4th-9th Department of Respiratory Medicine, 'Sotiria' Athens' Chest Diseases Hospital, Greece.
  9. Monica L Mullin: Lungs for Living Research Centre, UCL Respiratory, University College London, London, UK.
  10. Sam M Janes: Lungs for Living Research Centre, UCL Respiratory, University College London, London, UK. ORCID

Abstract

Lung cancer screening (LCS) programmes have emerged over recent years around the world. LCS programmes present differences in delivery, inclusion criteria and resource allocation. On a national scale, only a few LCS programmes have been fully established, but more are anticipated to follow. Evidence has shown that, in combination with a low-dose chest computed tomography scan, smoking cessation should be offered as part of a LCS programme for improved patient outcomes. Promising tools in LCS include further refined risk prediction models, the use of biomarkers, artificial intelligence and radiomics. However, these tools require further study and clinical validation is required prior to routine implementation.

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Word Cloud

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