摘要
影像组学是精准医疗时代的新兴领域,涉及多系统疾病的筛查、诊断、治疗及预后评估等。影像组学通过从医学影像中提取多维度定量数据,发现其与临床病理学因素或基因表达之间的关联,最终将为临床诊断决策提供有力支持。本文阐述了CT、MR成像特征,影像组学特征值提取,模型构建的方法及其所面临的挑战。
Radiomics is an emerging field of research in the era of precision medicine, involving screening, diagnosis, treatment, and prognosis assessment of multiple systemic diseases. By extracting multi-dimensional quantitative data from medical imaging and discovering its association with clinical pathology factors or gene expression, radiomics can help make strong decisions to support clinical diagnosis and treatment. This article summarized the major issues focusing on challenges of the extraction of radiomics features and model building from data sets provided by multiple imaging features.
作者
隋赫
莫展豪
孙旭
李雪佳
刘景鑫
SUI He;MO Zhanhao;SUN Xu;LI Xuejia;LIU Jingxin(Department of Radiology, China-Japan Union Hospital of Jilin University, Changchun Jilin 130000, China;Department of Radiology, The Second Hospital of Jilin University, Changchun Jilin 130000, China)
出处
《中国医疗设备》
2019年第4期25-28,37,共5页
China Medical Devices
基金
国家重点研发计划(2016YFC0103500)
吉林省省校共建项目(SXGJXX2017-5)
吉林大学高层次科技创新团队建设项目(2017TD-27)
吉林省标准化战略科研专项(BZKY1802)
