Improving Lung Cancer Screening Selection: A Comparative Analysis of Risk Models and Traditional Criteria in a Western European General Population
Danrong Zhong, Grigory Sidorenkov, Marcel J. W. Greuter, Colin Jacobs, Pim A. de Jong, Hester A. Gietema, Harry J. M. Groen, Firdaus A. A. Mohamed Hoesein, Noa Antonissen, Ralph Stadhouders, Harriet L. Lancaster, Marjolein A. Heuvelmans, Rozemarijn Vliegenthart

TL;DR
This study shows current lung cancer screening rules miss many cases, suggesting broader eligibility could improve early detection in Western Europe.
Contribution
The study proposes revised eligibility criteria for lung cancer screening based on smoking history and age to better capture high-risk individuals.
Findings
Current age/smoking criteria capture only 28.4–42.2% of lung cancer cases.
Risk prediction models capture 18.4–38.9% of cases, missing a significant portion.
Many lung cancer cases occur in ineligible groups, especially former smokers and younger individuals.
Abstract
While much debate focuses on whether to implement lung cancer screening, a more fundamental question remains: who should be screened? Current selection criteria fail to optimally balance the trade-offs between resource allocation (cost, workforce capacity) and screening benefits (cancer detection, mortality reduction). Our findings emphasize the need to strongly improve selection criteria for lung cancer screening to maximize its benefit. To improve early cancer detection rates, we propose expanding current eligibility criteria to include: (1) individuals who currently smoke at younger ages and (2) individuals who formerly smoked with extended duration since smoking cessation. Background/Objectives: The objective of this study is to evaluate the performance of the traditional age/smoking criteria and existing risk prediction models in selecting high-risk populations for lung cancer…
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Taxonomy
TopicsLung Cancer Diagnosis and Treatment · Lung Cancer Treatments and Mutations · Global Cancer Incidence and Screening
