[关键词]
[摘要]
肺癌是全世界最具侵袭性的恶性肿瘤之一,其中约80%-85%为非小细胞肺癌。影像组学通过高通道数据挖掘与集成,可以获取大量可用的影像表型,并充分利用信息学优势为肺癌良恶性结节的鉴别、基因表型的预测、临床分期、疗效检测与评价、疾病预后预测等提供有价值的影像学依据。本文就影像组学在非小细胞肺癌中的临床实践展开综述。
[Key word]
[Abstract]
Lung cancer is one of the most aggressive malignant tumors in the world, of which 80% - 85% of patients have non-small cell lung cancer. Radiomics could obtained a large number of available image phenotypes by high-channel data mining and integration. On the other hand, radioomics can make use of the advantages of information in benign and malignant nodules diagnosis, gene phenotype prognosis, clinical staging, efficacy assessment, and prediction of disease prognosis. This paper reviewed the clinical practice of radiomics in non-small cell lung cancer.
[中图分类号]
[基金项目]
内蒙古自治区关键技术攻关计划项目(2019GG156)