2024 World Conference on Lung Cancer (WCLC) - Posters-P4.04D.04 Efficiency of the Annual CT Screening Interval for Those at a Lower Risk of Lung Cancer

P4.04D.04 Efficiency of the Annual CT Screening Interval for Those at a Lower Risk of Lung Cancer - A CISNET Comparative Modelling Study

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This study explores the efficiency of different lung cancer screening intervals using three validated CISNET microsimulation models. These models simulate individual lung cancer outcomes and project them to a population level to assess the benefits and harms of screening strategies. These strategies include annual, biennial, and adaptive intervals based on age or pack-years (PY) smoked.<br /><br />The study focuses on a cohort from 1965, stratified by risk profile at age 50, to reflect the expanded screening criteria outlined in USPSTF2021 recommendations. The analysis considers whether biennial screening for some individuals eligible under these guidelines is effective in minimizing screening burden without significantly reducing the benefits.<br /><br />Key Findings:<br />- Biennial screening from ages 55-80 reduces the benefits by 20-30%. However, starting with biennial screening at ages 50-59 retains about 90% of the benefits while reducing CT screening requirements by 28%, especially beneficial for those with lower smoking exposure (10-30 PY).<br />- For individuals with 40 or more pack-years, annual screening remains most cost-effective after this threshold is reached. This approach can reduce CT volume by 40% for those with 20-30 PY while maintaining annual screening for those with higher exposures.<br />- The optimal screening strategy is contingent on the participant's age and smoking history. Resource-limited settings and individuals seeking to lessen screening burdens might consider biennial screening until age or exposure levels indicate annual screenings are necessary.<br /><br />The study suggests future research should factor in previous screening results to further refine optimal screening intervals, potentially reducing the screening burden without compromising the benefits. The findings address concerns related to radiological capacity and highlight a nuanced approach to lung cancer screening based on individual risk profiles.

Asset Subtitle

Kevin ten Haaf

Meta Tag

Speaker Kevin ten Haaf

Topic Screening & Early Detection

Keywords

lung cancer screening

CISNET microsimulation models

screening intervals

annual screening

biennial screening

pack-years smoked

USPSTF2021 recommendations

CT screening requirements

smoking exposure

individual risk profiles