影像组学在肺癌中的应用研究进展

发布时间：2018-03-07 22:13

本文选题：肺癌　切入点：影像组学　出处：《放射学实践》2017年12期 　论文类型：期刊论文

【摘要】：影像组学(radiomics)借助计算机软件高通量地从医学影像数据中挖掘大量的定量信息,筛选最有价值的影像组学特征来解析临床信息,指导疾病的诊疗,在肿瘤的诊断和鉴别诊断、分期分级、基因表型预测、治疗方案决策、疗效评估及预后预测等方面均显示出巨大价值。本文从影像组学概述、在肺癌中的应用研究进展、挑战及展望三方面进行论述,旨在提高对肺癌影像组学的认识。
[Abstract]:Radiomicsuse computer software to extract a large amount of quantitative information from medical image data, screen the most valuable imaging features to analyze clinical information, guide the diagnosis and treatment of diseases, and diagnose and differentiate tumors. Staging, gene phenotypic prediction, therapeutic scheme decision, curative effect evaluation and prognosis prediction are all of great value. This paper discusses the progress, challenges and prospects of the applied research in lung cancer from the aspects of imaging, research progress, challenges and prospects, and so on. To improve the understanding of lung cancer imaging.
【作者单位】：第四军医大学唐都医院放射科;
【基金】：第四军医大学唐都医院科技创新发展基金(2015JCYJ010)
【分类号】：R445;R730.44;R734.2

【相似文献】