摘要
影像组学是指使用计算机从不同类型的影像图像中提取大量信息, 形成各种可定量的特征, 然后选取一些相关的特征通过人工智能方法构建模型, 用以预测一些临床问题(如诊断、治疗、预后)的结局。将影像组学应用于肝病研究将有助于肝病的早期诊断和早期治疗, 并改善患者生存和治愈率。影像组学的研究目前方兴未艾, 未来可能还会有巨大进展。因此, 我们总结了影像组学在肝病中的研究现状, 并指出相关不足及未来研究方向。
Radiomics uses computers to extract a large amount of information from different types of images,form various quantifiable features,and select relevant features using artificial-intelligence algorithms to build models,in order to predict the outcomes of clinical problems(such as diagnosis,treatment,prognosis,etc.).The study of liver diseases by radiomics will contribute to early diagnosis and treatment of liver diseases and improve survival and cure rates of liver diseases.This field is currently in the ascendant and may have great development in the future.Therefore,we summarize the progress of current research in this article and then point out the related deficiencies and the direction of future research.
