Abstract: BackgroundLung cancer is the leading cause of cancer mortality worldwide. Early detection of lung cancer and treating lung cancer in early stage are important to increase patient survival. Early lung cancer can be treated with surgical intervention. However, most of the lung cancers are found in late stage. Therefore, chemotherapy and radiotherapy are extremely important to treat these advanced lung cancer. Recent advance shows the potential to allow individualized selection of the treatment as determined by the characteristic of the patients and tumors. This is a 3‐year proposal for developing a system for quantification and characterization of dynamic perfusion computed tomography (CT) in patients with lung cancer in early stage and advanced stage.Purpose: To develop a system for CT morphology and quantitative perfusion study of patients with early and advanced stage non‐small cell lung cancer (NSCLC) and to evaluate the clinical importance of CT tumor characterization using perfusion CT technique.Materials and methodsIn the first year, we will develop the imaging analyzing platform for CT perfusion study and overcome the technical problem to increase accuracy. In addition, we will enroll surgical candidates of NSCLC for preoperative perfusion CT study to understand tumor characterization with correlation to histopathologic results. In the second year, we will analyze 3D morphologic characters of lung nodules with definite diagnosis, and develop programs for analyzing tumor morphology and perfusion parameters. Lung cancer patients with advanced stage will be enrolled to evaluate serial perfusion CT studies before and after the course of chemotherapy. In the third year, we will develop the technique to predict lung parenchymal change following radiotherapy. Patients with advanced lung cancer receiving radiotherapy or concurrent chemoradiotherapy or high‐dose radiotherapy will be enrolled to understand the mechanism of tumor response.SummaryIn this proposal, CT perfusion study through multidisciplinary collaboration to characterize early and advanced lung cancer will be performed. We believe it is very important to develop this program and technique for CT perfusion which might be able to increase additional information of treating and following up lung cancer patients according to individualized difference and to understand possible predictive and prognostic imaging biomarkers.