CT影像组学在指导肺癌精准放疗中的应用进展

肺癌的精确诊断、放疗敏感性和正常组织放射性损伤的准确预测是实现肺癌精准放疗的必要前提。影像组学（radiomics）作为肺癌精准治疗发展史上一个具有里程碑意义的辅助工具，可以通过应用自动和半自动算法对肺癌影像资料的感兴趣区域提取大量影像特征，寻找这些特征与临床诊疗数据之间的深层关系，揭示肺癌的发生、发展及临床转归规律。影像组学可以无创获取肺部肿瘤整体异质性信息，在良恶性肺结节的判定、肿瘤基因表型和放疗反应的预测等方面具有巨大临床应用潜能。本文就CT影像组学在辅助肺癌放疗方面的最新研究进行综述。 

A review of CT-based radiomics applications in precise radiotherapy for lung cancer

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.