摘要
作为一种能将医学图像转换为高维、可挖掘数据的新技术,影像组学已广泛用于研究多种肿瘤,并建立了系统的工作流程。本研究对影像组学在卵巢癌诊断及分型、预后预测和分子生物学解释等方面的研究进展及其发展方向进行综述。
As a novel tool for conversion of medical images into high-dimensional,mineable data,radiomics has been widely used in a variety of tumor studies and established a systematic workflow.At present,radiomics has been used in the diagnosis,classification,prognosis prediction and molecular biological interpretation of ovarian cancer.The research progresses and trends of development of radiomics in ovarian cancer were reviewed in this article.
作者
任静
何泳蓝
薛华丹
REN Jing;HE Yonglan;XUE Huadan(Department of Radiology,Peking Union Medical College Hospital,Chinese Academy of Medical Sciences and Peking Union Medical College,Beijing 100730,China)
出处
《中国医学影像技术》
CSCD
北大核心
2021年第5期777-780,共4页
Chinese Journal of Medical Imaging Technology
基金
国家自然科学基金(81901829)
北京协和医学院“中央高校基本科研业务费”项目(3332019032)。
关键词
卵巢肿瘤
诊断
影像组学
ovarian neoplasms
diagnosis
radiomics
