Radiomics for prEdiction of lunG cAncer biologY
Prediction of Lung Cancer Characteristics Using PET/CT Radiomics
1 other identifier
observational
600
1 country
1
Brief Summary
Therapeutic progress for subgroups of Non Small Cell Lung Cancer can largely be attributed to the accumulation of molecular knowledge and the development of new drugs that specifically target molecular abnormalities. An understanding of the immune landscape of tumors, including immune-evasion strategies, has also led to breakthrough therapeutic advances.These new options require prior treatment tumoral sampling to identify patients who have neoplasms with specific genomic aberrations or favorable immune environment. Medical imaging and radiomic approach may provides surrogate markers non invasively.The objective of the present retrospective study is to build and validate a predictive model of common molecular alterations and PD-L1 expression in NSCLC using pre treatment PET/CT derived radiomics.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for all trials
Started Jan 2023
Shorter than P25 for all trials
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
Click on a node to explore related trials.
Study Timeline
Key milestones and dates
Study Start
First participant enrolled
January 1, 2023
CompletedFirst Submitted
Initial submission to the registry
March 17, 2023
CompletedFirst Posted
Study publicly available on registry
April 19, 2023
CompletedPrimary Completion
Last participant's last visit for primary outcome
January 1, 2024
CompletedStudy Completion
Last participant's last visit for all outcomes
January 1, 2024
CompletedApril 19, 2023
April 1, 2023
1 year
March 17, 2023
April 5, 2023
Conditions
Outcome Measures
Primary Outcomes (2)
prediction of PDL1 expression
Evaluation of the performances of PET/CT derived radiomics to predict PDL1 expression \>1% (PDL1 : Programmed death-ligand 1 as previously determined on routine tumoral biopsy): area under the receiver operating characteristics curve (AUC), accuracy, sensitivity and specificity.
1 month
prediction of EGFR genomic alteration
Evaluation of the performances of PET/CT derived radiomics to predict the presence of EGFR mutation (EGFR: epidermal growth factor receptor, presence /or not of EGFR alteration as previously determined on routine tumoral biopsy): area under the receiver operating characteristics curve (AUC), accuracy, sensitivity and specificity.
1 month
Secondary Outcomes (3)
Prediction of KRAS alteration
1 month
Prediction of BRAF mutation
1 month
Prediction of ALK/ROS translocation
1 month
Interventions
Pre treatment staging 18F-FDG PET/CT
Eligibility Criteria
Histologically proven NSCLC with molecular biology analysis and initial staging PET/CT
You may qualify if:
- Histologically proven NSCLCC
- pre treatment 18F FDG PET/CT
- available molecular biology and histology results
You may not qualify if:
- non available PET/CT images
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
CHU Poitiers
Poitiers, 86000, France
MeSH Terms
Conditions
Interventions
Condition Hierarchy (Ancestors)
Intervention Hierarchy (Ancestors)
Study Design
- Study Type
- observational
- Observational Model
- COHORT
- Time Perspective
- RETROSPECTIVE
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
March 17, 2023
First Posted
April 19, 2023
Study Start
January 1, 2023
Primary Completion
January 1, 2024
Study Completion
January 1, 2024
Last Updated
April 19, 2023
Record last verified: 2023-04