A Machine Learning Approach to Identify Patients With Resected Non-small-cell Lung Cancer With High Risk of Relapse
NCT ID: NCT05732974
Last Updated: 2023-09-21
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
Get a concise snapshot of the trial, including recruitment status, study phase, enrollment targets, and key timeline milestones.
RECRUITING
60 participants
OBSERVATIONAL
2023-03-30
2026-10-30
Brief Summary
Review the sponsor-provided synopsis that highlights what the study is about and why it is being conducted.
Related Clinical Trials
Explore similar clinical trials based on study characteristics and research focus.
Integrating Artificial Intelligence Into Lung Cancer Screening.
NCT05704920
Post-Surgical Non-Small Cell Lung Cancer (NSCLC) Follow-up
NCT00198341
Image Mining and ctDNA to Improve Risk Stratification and Outcome Prediction in NSCLC Applying Artificial Intelligence.
NCT06163846
Molecular Assessment of Lymph Nodes in Patients With Resected (Stage I to IIIA) Non-small Cell Lung Cancer
NCT00213733
Prognostic Significance of the Uncertain Resection in NSCLC
NCT06511661
Detailed Description
Dive into the extended narrative that explains the scientific background, objectives, and procedures in greater depth.
Conditions
See the medical conditions and disease areas that this research is targeting or investigating.
Study Design
Understand how the trial is structured, including allocation methods, masking strategies, primary purpose, and other design elements.
COHORT
PROSPECTIVE
Study Groups
Review each arm or cohort in the study, along with the interventions and objectives associated with them.
Resected early stage non small cell lung cancer
Early stage (IA-IIIA) resectable non small cell lung cancer patients receiving surgery
Resected non small cell lung cancer
plasma sample, tissue sample and computed tomography scan images
Interventions
Learn about the drugs, procedures, or behavioral strategies being tested and how they are applied within this trial.
Resected non small cell lung cancer
plasma sample, tissue sample and computed tomography scan images
Eligibility Criteria
Check the participation requirements, including inclusion and exclusion rules, age limits, and whether healthy volunteers are accepted.
Inclusion Criteria
* Indication of surgical resection
* Patient able to understand and give his consent
* Patient affiliated to the health insurance
Exclusion Criteria
* Patient with an allergy to the contrast medium
* Patient under legal protection
18 Years
ALL
No
Sponsors
Meet the organizations funding or collaborating on the study and learn about their roles.
University Hospital, Toulouse
OTHER
Responsible Party
Identify the individual or organization who holds primary responsibility for the study information submitted to regulators.
Principal Investigators
Learn about the lead researchers overseeing the trial and their institutional affiliations.
Julien MAZIERES, MD, PhD
Role: PRINCIPAL_INVESTIGATOR
University Hospital, Toulouse
Locations
Explore where the study is taking place and check the recruitment status at each participating site.
Julien MAZIERES
Toulouse, , France
Countries
Review the countries where the study has at least one active or historical site.
Central Contacts
Reach out to these primary contacts for questions about participation or study logistics.
Facility Contacts
Find local site contact details for specific facilities participating in the trial.
Other Identifiers
Review additional registry numbers or institutional identifiers associated with this trial.
RC31/21/0519
Identifier Type: -
Identifier Source: org_study_id
More Related Trials
Additional clinical trials that may be relevant based on similarity analysis.