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.
Study Type
OBSERVATIONAL
Enrollment
31
VA Palo Alto Health Care System
Palo Alto, California, United States
Comparison of liquid biopsy with PET/CT to PET/CT alone for predicting lung cancer
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
Time frame: 24 months
ctDNA gene panel ability in detecting lung cancer
Determine the sensitivity and specificity of a ctDNA gene panel in detecting lung cancer for lesions 6 mm- 200 mm in size
Time frame: 24 months
DNA methylation liquid biopsy ability in detecting lung cancer
Determine the sensitivity and specificity of DNA methylation liquid biopsy in detecting lung cancer for lesions 6 mm- 20 mm in size
Time frame: 24 months
Validate ML classifier for predicting lung cancer
Validate a machine learning (ML) classifier for predicting lung cancer using imaging and clinical data.
Time frame: 30 months
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