Lung cancer kills the most cancer patients in the world. Most of these patients are diagnosed late in their disease, and there is no cure. Having a chest CAT scan (CT scan) every year helps detect lung cancer early and reduces the chance of dying. When lung cancer is detected early, the patient has a higher chance to survive. Patients who are diagnosed with small lumps in their lungs, called lung nodules, have a higher chance of getting lung cancer. Having lung nodules can also require unnecessary, uncomfortable, and sometimes painful medical procedures that are not helpful for the patient. The purpose of our research is to help detect lung cancer earlier for patients with lung nodules, which could give them a better chance to beat cancer and survive. To do this, we propose to combine new medical test tests, from a blood draw and computer measurements from CAT scans. We will use simple blood draws to measure DNA materials in the blood that can help detect if lung cancer is present. We will also use computers to analyze hundreds of measurements from lung nodules in CAT scans that can tell us if the nodule is cancer. We will then combine the blood draw and computer measures from CAT scans using advanced math to detect lung cancer early more accurately without hurting the patient. Our goal is to improve early lung cancer detection so that it can be cured and help save patient lives.
Location: Abramson Cancer Center - Pennsylvania
Proposal: Imaging and Liquid Biopsy Biomarkers for Precision Screening and Early Detection of Lung Cancer