Abstract: The accurate diagnosis and precise prediction of tumor radiation sensitivity and normal tissue radiation-induced injury are the preconditions of precise radiotherapy for lung cancer. Radiomics is defined as a set of milestone, assistive tools in the development of precise treatment for lung cancer, which can extract many quantitative features from medical images by applying automatic or semi-automatic methods and determine the deep relationship between clinical diagnosis and treatment data. Thus, the occurrence, development, and clinical outcome of lung cancer may be revealed. Radiomics holds immense potential in the classification of benign and malignant lung nodules, prediction of lung cancer genetic phenotypes, and treatment response to radiation therapy, because it can obtain information regarding the global heterogeneity of tumors via a noninvasive approach. In the present review, we summarize the latest process of CT-based radiomics in precise radiotherapy for lung cancer.