Lung Cancer, Multiple Pulmonary Nodules, Solitary Pulmonary Nodule
Conditions
Keywords
PET-CT Scan, Liquid Biopsies
Brief summary
The purpose of this study is to determine if a liquid biopsy, a method of detecting cancer from a blood draw, combined with a PET/CT scan, a type of radiological scan, is better at determining whether a lung nodule is cancerous when compared to a PET/CT scan alone. A PET/CT scan is already used for diagnosis of lung nodules, but its efficacy is uncertain in nodules 6-20 mm in size. Therefore, the PET/CT will be evaluated for its diagnostic ability in lesions this size alone and in combination with a liquid biopsy. Secondarily, a machine learning model will be created to see if the combination of the PET/CT imaging data and the liquid biopsy data can predict the presence of cancer.
Interventions
None listed
Sponsors
Study design
Eligibility
Inclusion criteria
* Over 18 years of age * ECOG performance status of 0,1, or 2 * Newly discovered lung nodule with: 1. At least one solid lung nodule measuring 6 mm- 20 mm in greatest diameter detected on screening CT 2. No single lesion larger than 20 mm in greatest diameter when multiple nodules present 3. High- or intermediate-risk nodules per American College of Chest Physician (ACCP) guidelines * Able to provide informed consent
Exclusion criteria
* Prior cancer of any type for the previous 3 years * Prior organ, bone marrow, of hematopoietic stem cell transplant * Contraindication to administration of \[18F\]FDG * Inability to undergo a PET/CT scan * Ongoing infection, either acute or subacute * Severe COPD or lung disease requiring home oxygen use * Pregnancy
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Comparison of liquid biopsy with PET/CT to PET/CT alone for predicting lung cancer | 24 months | Determine the sensitivity and specificity of liquid biopsy and PET/CT in combination compared with PET/CT alone for predicting lung cancer for lesions 6 mm- 20 mm in size |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| ctDNA gene panel ability in detecting lung cancer | 24 months | Determine the sensitivity and specificity of a ctDNA gene panel in detecting lung cancer for lesions 6 mm- 200 mm in size |
| DNA methylation liquid biopsy ability in detecting lung cancer | 24 months | Determine the sensitivity and specificity of DNA methylation liquid biopsy in detecting lung cancer for lesions 6 mm- 20 mm in size |
| Validate ML classifier for predicting lung cancer | 30 months | Validate a machine learning (ML) classifier for predicting lung cancer using imaging and clinical data. |
Countries
United States