A Machine Learning Approach to Identify Patients With Resected Non-small-cell Lung Cancer With High Risk of Relapse
About this study
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.
- Condition
- Non-small Cell Lung Cancer Stage IIIA
- Tested
- Resected non small cell lung cancer
- Sponsor
- University Hospital, Toulouse
Who can join
- Age
- 18 years and older
- Sex
- All sexes
- Healthy volunteers
- Not accepted
Inclusion 6
- Minimum age: 18 years
- Study condition: Non-small Cell Lung Cancer Stage IIIA
- Patient with an early stage of non small cell lung cancer
- Indication of surgical resection
- Patient able to understand and give his consent
- Patient affiliated to the health insurance
Exclusion 3
- Patient with another cancer in the last 5 years
- Patient with an allergy to the contrast medium
- Patient under legal protection
Where
1 site, 1 recruiting
Julien MAZIERES
Toulouse, France
Contact
-
Julien MAZIERES, MD, PhD
0567771837 mazieres.j@chu-toulouse.fr
Potential match only. Final eligibility is determined by the study team.