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Lung cancer screening: a literature review
Author(s) -
Pier Luigi Piovano,
Federica Grosso,
Gianmauro Numico,
Antonio Maconi,
Biagio Polla
Publication year - 2019
Publication title -
working paper of public health
Language(s) - English
Resource type - Journals
ISSN - 2279-9761
DOI - 10.4081/wpph.2019.9211
Subject(s) - selection (genetic algorithm) , lung cancer screening , lung cancer , medicine , clinical trial , cancer , medical physics , intensive care medicine , computer science , risk analysis (engineering) , pathology , artificial intelligence
Objectives: Critical analysis of Literature on Lung Cancer Screening, synthesis and balance between scientific evidence and real world applicability. Methodology: selection of the most relevant clinical trials on the topic. Results: the most representative and positive studies (NLST, NELSON and MILD) have been examined and discussed, pointing out their limits and unsolved issues. Conclusion: despite clear statistically positive and encouraging results, many concerns still remain about routine implementation in the real world, mainly on the costs, the need for expert and trained dedicated radiologists and technicians, the theorical advantage of shifting resources to smoking cessation programs, the possible next integration of new biological and genetic diagnostic tools.

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