摘要
心脏CT成像已被广泛用于冠状动脉及心脏结构性疾病的诊断。传统心脏CT影像主要依靠医生通过视觉进行评估。影像组学可以从医学影像中挖掘大量人眼看不见的定量特征,并与机器学习等数据分析方法相结合,构建模型预测疾病状态以及病人的临床结局。就影像组学方法在心脏CT成像领域(包括冠状动脉斑块、冠状动脉周围脂肪、心肌组织及心脏占位)的应用现状予以综述,并探讨面临的挑战及发展方向。
Cardiac CT has been widely used in evaluating coronary artery and cardiac structural diseases.Traditional interpretation of cardiac CT images relies mostly on human visual assessment.Radiomics can extract a large amount of quantitative features from digital images that cannot be recognized by human eyes.These features can then be analyzed using novel data analytic techniques such as machine learning,and models can be built to predict disease status and clinical end points.This review summarizes the latest advances of radiomics in the field of cardiac CT,including coronary plaque,pericoronary adipose tissue,myocardial tissue and cardiac mass.The challenges and future directions of cardiac CT radiomics were discussed.
作者
陈谦
张龙江
殷信道(审校)
CHEN Qian;ZHANG Longjiang;YIN Xindao(Department of Medical Imaging,Nanjing first Hospital,Nanjing Medical University,Nanjing 210006,China;Department of Diagnostic Radiology,Jinling Hospital,Medical School of Nanjing University,General Hospital of Eastern Theater Command)
出处
《国际医学放射学杂志》
北大核心
2021年第5期541-546,共6页
International Journal of Medical Radiology
基金
江苏省慢性病综合防治重点项目(BE2020699)
江苏省自然科学基金项目(BK20201118)。
