Understanding LUng Cancer risk factors and their Impact Assessment (LUCIA): protocol for multicentre observational cohort study
A European study is developing AI lung cancer screening that identifies risk in never-smokers and other groups current screening misses.
LUCIA is a 4,000-participant European multicentre cohort (Spain, Belgium, Latvia) designed to develop and validate AI-based lung cancer risk prediction models combining multi-omics, breath analysis, and novel non-invasive sensing technologies to extend screening eligibility beyond smoking history. The study addresses the significant gap that current LDCT programs miss never-smokers and non-traditional risk profiles, who account for a growing share of lung cancer diagnoses.
What the study was
- Study design
- Multicentre longitudinal observational cohort study protocol
- Population
- Approximately 4,000 participants across Spain, Belgium, Latvia; smokers, never-smokers, and reduced-smokers with low-to-moderate lung cancer risk
- Sample size
- 4000
- Category
- Early Detection
- Maturity
- Exploratory
- Journal
- BMJ Open
Why it surfaced
Well-designed protocol integrating novel non-invasive sensors with multi-omics for lung cancer risk in underscreened populations; protocol only so evidence maturity is exploratory.
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