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.
Incidentally detected lung nodules
Lung cancer LDCT screening
Never-smokers
Quality indicators
Journal
Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer
ISSN: 1556-1380
Titre abrégé: J Thorac Oncol
Pays: United States
ID NLM: 101274235
Informations de publication
Date de publication:
23 Jul 2023
23 Jul 2023
Historique:
received:
05
04
2023
revised:
13
06
2023
accepted:
18
07
2023
pubmed:
25
7
2023
medline:
25
7
2023
entrez:
24
7
2023
Statut:
aheadofprint
Résumé
Low-dose computed tomography (LDCT) screening for lung cancer substantially reduces mortality from lung cancer, as revealed in randomized controlled trials and meta-analyses. This review is based on the ninth CT screening symposium of the International Association for the Study of Lung Cancer, which focuses on the major themes pertinent to the successful global implementation of LDCT screening and develops a strategy to further the implementation of lung cancer screening globally. These recommendations provide a 5-year roadmap to advance the implementation of LDCT screening globally, including the following: (1) establish universal screening program quality indicators; (2) establish evidence-based criteria to identify individuals who have never smoked but are at high-risk of developing lung cancer; (3) develop recommendations for incidentally detected lung nodule tracking and management protocols to complement programmatic lung cancer screening; (4) Integrate artificial intelligence and biomarkers to increase the prediction of malignancy in suspicious CT screen-detected lesions; and (5) standardize high-quality performance artificial intelligence protocols that lead to substantial reductions in costs, resource utilization and radiologist reporting time; (6) personalize CT screening intervals on the basis of an individual's lung cancer risk; (7) develop evidence to support clinical management and cost-effectiveness of other identified abnormalities on a lung cancer screening CT; (8) develop publicly accessible, easy-to-use geospatial tools to plan and monitor equitable access to screening services; and (9) establish a global shared education resource for lung cancer screening CT to ensure high-quality reading and reporting.
Identifiants
pubmed: 37487906
pii: S1556-0864(23)00687-1
doi: 10.1016/j.jtho.2023.07.019
pii:
doi:
Types de publication
Journal Article
Review
Langues
eng
Sous-ensembles de citation
IM
Subventions
Organisme : NCI NIH HHS
ID : R01 CA262164
Pays : United States
Organisme : NCI NIH HHS
ID : R03 CA245979
Pays : United States
Organisme : NCI NIH HHS
ID : U19 CA203654
Pays : United States
Informations de copyright
Copyright © 2023 International Association for the Study of Lung Cancer. Published by Elsevier Inc. All rights reserved.