A Machine Learning Approach to Identify Patients With Resected Non-small-cell Lung Cancer With High Risk of Relapse
Condition(s) studied
Investigational drug(s) / intervention(s)
Resected non small cell lung cancer: plasma sample, tissue sample and computed tomography scan images
Study summary
Early-stage non small cell lung cancer represents 20-30% of all non small cell lung cancer and is characterized by a high survival probability after surgical resection. However, considering stage IA-IIIA non small cell lung cancer, a relapse rate of about 50% is observed, with a different survival probability on the basis of tumor node metastasis status, although patients within the same tumor node metastasis stage exhibit wide variations in recurrence rate. There are currently no validated prognostic biomarkers able to identify patients with a high risk of relapse.
Eligibility
Primary outcome measure(s)
- Algorithm for disease free survival — 18 months
Analysis on a training cohort of resected early-stage non small cell lung cancer
Trial sites (1)
| Facility | City | Region | Status |
|---|---|---|---|
| Julien MAZIERES | Toulouse | France | Recruiting |
More University Hospital, Toulouse trials in France
This page summarises publicly available registry data for informational purposes — not medical advice. Eligibility is determined by each study team; patients should discuss participation with their clinician.
View NCT05732974 on ClinicalTrials.gov ↗ ← All trials in France