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Clinical Trial Summary

This observational, cross-sectional study in lung cancer patients and lung cancer-free controls aims to develop a machine learning model for early detection of LC based on routine, widely accessible and minimally invasive clinical investigations. The model with adequate predictive performance could later be used in clinical practice as an aid in defining the optimal population and timing for lung cancer screening program.


Clinical Trial Description

n/a


Study Design


Related Conditions & MeSH terms


NCT number NCT05907577
Study type Observational
Source The University Clinic of Pulmonary and Allergic Diseases Golnik
Contact
Status Not yet recruiting
Phase
Start date September 1, 2023
Completion date September 1, 2024