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NCT05907577

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

Status unknown Last updated 18 June 2023
What this trial tests

trial testing Observational in Adenocarcinoma of Lung; Bronchial Neoplasms; Early Detection of Cancer; Machine Learning in 7,500 participants. Status unknown.

Timeline
1 September 2023
Primary endpoint
1 September 2024
1 September 2024

Quick facts

Lead sponsorThe University Clinic of Pulmonary and Allergic Diseases Golnik
StatusStatus unknown
Study typeOBSERVATIONAL
Enrollment7,500
Start date1 September 2023
Primary completion1 September 2024
Estimated completion1 September 2024
Sites2 locations across Slovenia

Drugs / interventions tested

Conditions studied

Sponsor

The University Clinic of Pulmonary and Allergic Diseases Golnik

Who can join

Adults 50 to 79, any sex, with Adenocarcinoma of Lung; Bronchial Neoplasms; Early Detection of Cancer; Machine Learning. Patients with the condition only — healthy volunteers not accepted.

Sponsor's own description

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.

Publications & conference data

No peer-reviewed publications indexed yet for this trial.

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