2023 World Conference on Lung Cancer (Posters)-P1.15. Optimised Lung Cancer Screening to Prevent Cardiovascular and Pulmonary Diseases Coupled with Primary Prevention: Results of the Baseline Round

P1.15. Optimised Lung Cancer Screening to Prevent Cardiovascular and Pulmonary Diseases Coupled with Primary Prevention: Results of the Baseline Round - PDF(Slides)

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The study aimed to evaluate the feasibility and effectiveness of an integrated program for detecting smoking-related thoraco-cardiovascular diseases in high-risk subjects, along with primary prevention. The baseline round of the study included 1,112 eligible subjects who underwent various tests and screenings, including low-dose computed tomography (LDCT) scans, blood sample collection, psychology consultation, and spirometry.<br /><br />Out of the subjects, 348 had at least one lung nodule identified, with a total of 539 nodules. The LDCT scans were negative for lung nodules in 762 subjects, who were referred to annual/biennial LDCT screenings. Lung nodule surveillance was indicated for 122 subjects, with follow-up periods of one, three, or six months. During the follow-up period, 44 subjects underwent a PET-FDG scan, and 27 had a CT-guided lung biopsy. A total of 32 cancers were diagnosed, including 30 lung cancers, one malignant pleural mesothelioma, and one thymoma. Twenty-five subjects underwent lung surgery, and pathology showed 21 stage I-II cancers and nine stage III-IV cancers.<br /><br />The results demonstrated the efficacy of LDCT in safely detecting early-stage lung cancer in high-risk subjects with a low risk of false-positive results. The study also highlighted the importance of personalized screening intervals based on the Maisonneuve risk re-calculation model. The findings support policy assessments for the implementation of lung cancer screening programs and offer potential benefits for lung cancer patients.<br /><br />In conclusion, the study showed that LDCT is effective in detecting early-stage lung cancer with minimal false positives. The use of the Maisonneuve model for risk calculation can optimize screening intervals for high-risk individuals. These findings provide valuable support for policymakers and contribute to better outcomes for lung cancer patients.

Asset Subtitle

Piergiorgio Muriana

Meta Tag

Speaker Piergiorgio Muriana

Topic Screening & Early Detection: Maximising Screening Benefits

Keywords

LDCT scans

lung nodule

lung cancer

high-risk subjects

early-stage

false positives

screening intervals

risk calculation

policymakers

better outcomes