Radiomics for prEdiction of lunG cAncer biologY

Study Overview
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Brief Summary
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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.

Official Title
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Prediction of Lung Cancer Characteristics Using PET/CT Radiomics

Conditions
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Non Small Cell Lung Cancer, PET/CT, PD-L1, Gene Mutation-Related Cancer

Intervention / Treatment
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* Diagnostic Test: PET/CT


Participation Criteria
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Eligibility Criteria
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Inclusion Criteria: Histologically proven NSCLCC pre treatment 18F FDG PET/CT available molecular biology and histology results Exclusion Criteria: non available PET/CT images

Ages Eligible for Study
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Minimum Age: 18 Years

Sexes Eligible for Study
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All

Accepts Healthy Volunteers
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No

Study Plan
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How is the study designed?
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Arms and Interventions

| Intervention/Treatment |
| --- |
|Diagnostic Test: PET/CT|Pre treatment staging 18F-FDG PET/CT|

What is the study measuring?
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Primary Outcome Measures

| Outcome Measure | Measure Description | Time Frame |
| --- | --- | --- |
| 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 Outcome Measures

| Outcome Measure | Measure Description | Time Frame |
| --- | --- | --- |
| Prediction of KRAS alteration | Evaluation of the performances of PET/CT derived radiomics to predict the presence of KRAS mutation (KRAS : Kirsten rat sarcoma viral oncogene : presence/or not of KRAS alteration as previously determined on routine tumoral biopsy): area under the receiver operating characteristics curve (AUC), accuracy, sensitivity and specificity. | 1 month | 
| Prediction of BRAF mutation | Evaluation of the performances of PET/CT derived radiomics to predict the presence of BRAF mutation (BRAF : raf murine sarcoma viral oncogene homolog B, presence/or not of BRAF mutation as previously determined on routine tumoral biopsy): area under the receiver operating characteristics curve (AUC), accuracy, sensitivity and specificity. | 1 month | 
| Prediction of ALK/ROS translocation | Evaluation of the performances of PET/CT derived radiomics to predict the presence of ALK/ROS translocation (ALK : anaplastic lymphoma receptor tyrosine kinase, ROS : c-ROS protooncogene 1; presence /or not of ALK and ROS alteration as previously determined on routine tumoral biopsy): area under the receiver operating characteristics curve (AUC), accuracy, sensitivity and specificity. | 1 month |