放射组学在非小细胞肺癌中的应用

The application of radiomics in non-small cell lung cancer

放射组学是近年来医学影像学研究的热点,它是指从CT、MRI或PET等医学影像图像中的感兴趣区提取定量影像特征,对这些特征进行筛选、分析,综合评价肿瘤生物学特性的一种高通量定量分析方法。它以无创性、高重复性及高效性等独特优势促进了肺癌的精准治疗。本文总结了放射组学的基本过程及其面临的挑战,回顾了有关肺癌的放射组学文献,从放射组学在肺癌的诊断、治疗及疗效评估等方面进行阐述。

Radiomics is the hotspot in medical imaging research recently, which is known as a high throughput quantitative analysis for comprehensive evaluation of tumor biological characteristics. It filters and analyses the quantitative features extracted from objective regions of CT, MRI or PET. Radiomics develops the precise treatment of lung cancer with unique advantages of non-invasiveness, high repeatability and high efficiency. This paper aimed to elaborate the roles of radiomics in diagnosis, treatment, efficacy evaluation of lung cancer on the basis of reviewing literatures about its application in lung cancer and summarizing its basic processes and the current challenges.