NCT05907577

Early Detection of Lung Cancer With Machine Learning Based on Routine Clinical Investigations

• Status: Unknown
• Phase: —
• Study type: Observational
• Enrollment: 7,500 (estimated)
• Sponsor: The University Clinic of Pulmonary and Allergic Diseases Golnik · Academic / Other
• Sex: All
• Age: 50 Years – 79 Years
• Healthy volunteers: Accepted

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.

Conditions

• Adenocarcinoma of Lung; Bronchial Neoplasms; Early Detection of Cancer; Machine Learning

Interventions

Type	Name	Description
OTHER	Observational	No interventions.

Timeline

• Start date: 2023-09-01
• Primary completion: 2024-09-01
• Completion: 2024-09-01
• First posted: 2023-06-18
• Last updated: 2023-06-18

Locations

2 sites across 1 country: Slovenia