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Brief Title: Functional Image and Molecular Markers to Predict Treatment Outcomes in Lung Cancer
Official Title: Using Functional Image and Circulating Molecular Markers to Predict Tumor Control and Thoracic Toxicity in Treatment of Lung Cancer
Study ID: NCT02117440
Brief Summary: This study is designed to apply various scans such as functional imaging, Fluorodeoxyglucose_Positron Emission Tomography (FDG-PET), 62Cu-ETS (Copper) PET, Ventilation/Perfusion Single Photon Emission Computerized Tomography (V/Q SPECT), cardiac magnetic resonance imaging (MRI), Tc-99m HMPAO SPECT/CT, and pulmonary function tests before, during and after treatment to see if it predicts how well the treatment works for your cancer and how well your lungs function during treatment. A Computerized Tomography (CT) will also be performed along with both of these procedures to help the researchers see clearly where your cancer or your healthy lung is located. The researchers also perform blood tests in this study to look for markers in your blood to see if it helps them determine your risk of developing side effects from radiation to the lungs. They will also measure your health-related quality of life before, during and after treatment. The researchers hope that this study will help them in the future to design radiation treatment plans that provide the best treatment for each individual patient.
Detailed Description: Primary aims: 1. To determine if tumor metabolic activity plus volume measured by 18F-FDG PET/CT and tissue/tumor perfusion measured by 62Cu-ETS-PET before and during treatment predicts CT tumor response 3 months after completion of treatment and 1 and 2 year local-regional progression-free survival. 2. To determine if functional imaging based lung dose-volume histograms (DVH) more accurately predict changes in diffusion capacity of lung for carbon monoxide (DLCO) compared to the DVH based on simulating CT. Degree of lung toxicity will also be documented by functional scans such as Tc-99m HMPAO imaging. 3. To determine if baseline level, or changes in blood markers such as TGFß1 measured during the course of radiation, predict changes in DLCO.
Minimum Age: 18 Years
Eligible Ages: ADULT, OLDER_ADULT
Sex: ALL
Healthy Volunteers: No
Indiana University Simon Cancer Center, Indianapolis, Indiana, United States
Name: Feng-Ming Kong, MD
Affiliation: Indiana University
Role: PRINCIPAL_INVESTIGATOR