RecruitingRecruiting
A Machine Learning Approach to Identify Patients With Resected Non-small-cell Lung Cancer With High Risk of Relapse
NCT05732974 · University Hospital, Toulouse
In plain English
Click the button to translate this study into plain language — what it is, who qualifies, and what participation looks like.
About this study
This study will use data from an already available cohort of patients enrolled in the Resting study (a project funded by TRANSCAN in 2018) as a training set and data from a new concurrent cohort as validation set.
Eligibility criteria
Inclusion Criteria:
* 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 Criteria:
* Patient with another cancer in the last 5 years
* Patient with an allergy to the contrast medium
* Patient under legal protection
Study design
Enrollment target: 60 participants
Age groups: adult, older_adult
Timeline
Starts: 2023-03-30
Estimated completion: 2026-10-30
Last updated: 2023-09-21
Interventions
Other: Resected non small cell lung cancer
Primary outcomes
- • Algorithm for disease free survival (18 months)
Sponsor
University Hospital, Toulouse · other
Contacts & investigators
ContactJulien MAZIERES, MD, PhD · contact · mazieres.j@chu-toulouse.fr · 0567771837
InvestigatorJulien MAZIERES, MD, PhD · principal_investigator, University Hospital, Toulouse
All locations (1)
Julien MAZIERESRecruiting
Toulouse, France