CT影像组学在肺癌中的研究进展  

Progress of CT Radiomics in Lung Cancer

作　　者：刘超[1] 鲁际[1] 邓子晴 LIU Chao;LU Ji;DENG Ziqing(Department of Radiology,the First College of Clinical Medicine of Three Gorges University/ Yiehang Central People＇s Hospital,Yiehang 443000,China)

机构地区：[1]三峡大学第一临床医学院宜昌市中心人民医院放射科,湖北宜昌443000

出　　处：《医学综述》2018年第19期3883-3887,共5页Medical Recapitulate

基　　金：湖北省自然科学基金(2012FFB06303)

摘　　要：肿瘤在生物学上是复杂的,在不同肿瘤之间,甚至在单个肿瘤内部均会表现出表型和基因组异质性。目前,影像组学可以从影像图像中获取高通量数据和提取大量定量特征来挖掘肿瘤本身的形态、纹理和肿瘤内异质性的定量信息。因此,影像组学的数据可以被用来建立描述性和预测性的临床模型,并将影像学特征与肿瘤生物学表型联系起来。影像组学是目前最具有创新性的医学专业之一,它以无创、定量的方法了解在体肿瘤多元、多层次的信息,并为临床医师在患者的治疗方法、手术方案及预后等方面发挥巨大作用。Tumors are biologically complex, showing phenotypic and genomic heterogeneity among different tumors, even within a single tumor. At present, radiomics can obtain high-throughput data fi＇om image images and extract a large number of quantitative features to mine the quantitative information of tumor morphology, texture and intra tumor heterogeneity. Therefore, radiomics data can be used to establish descriptive and predictive clinical models and to link imaging fea- tures with tumor biological pheno）ypes. Radiomics is one of the most innovative medical specialties at present. It uses noninvasive and quantitative methods to understand multiple and multilevel information about tumors in vivo and plays an important in the treatment, operative plan and prognosis for the patients.

关 键 词：肿瘤 异质性 影像组学 肺癌 

分 类 号：R445[医药卫生—影像医学与核医学]