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Important parameters for cost-effective implementation of lung cancer screening
Helen Morgan1, David R Baldwin2,3
1Roy Castle Clinical Research Fellow, Division of Lifespan and Population Health, University of Nottingham, Nottingham, United Kingdom.
The British Journal of Radiology
|January 6, 2023
Summary
Lung cancer screening with low-dose computed tomography (LDCT) reduces late-stage diagnoses and mortality. Optimizing screening program components is crucial for cost-effectiveness and managing healthcare system impact.
Area of Science:
- Pulmonary Medicine
- Health Economics
- Radiology
Background:
- Low-dose computed tomography (LDCT) screening is accepted for reducing lung cancer mortality and late-stage diagnoses.
- Balancing reduced mortality with the economic costs of screening programs is essential.
- Health economic models show significant variation in cost-effectiveness, influenced by national healthcare costs and program design.
Purpose of the Study:
- To identify the most clinically and cost-effective lung cancer screening programs.
- To minimize the total financial impact of LDCT screening.
- To inform optimal implementation strategies for LDCT screening programs.
Main Methods:
- Analysis of health economic models using UK costs and a targeted screening approach.
- Evaluation of various program components influencing cost-effectiveness.
- Consideration of factors like population selection, participation rates, screening intervals, nodule management, and clinical work-up.
Main Results:
- Recent UK-based modeling suggests most targeted screening scenarios fall within the willingness-to-pay threshold.
- Key modifiable program components significantly impact cost-effectiveness.
- Further research is needed to assess personalized screening intervals based on risk.
Conclusions:
- Optimizing lung cancer screening program components is critical for cost-effectiveness.
- Careful management of the medical infrastructure and workforce burden is necessary for LDCT implementation.
- Personalized screening strategies may offer future cost-effectiveness improvements.

