基于人工智能的影像组学在非小细胞肺癌中的应用进展  

Application progress of artificial intelligence-based radiomics in non-small cell lung cancer

作　　者：孙江倩 黄原义[1] SUN Jiangqian;HUANG Yuanyi(Department of Radiology,Yangtze University Affiliated Jingzhou Hospital,Jingzhou,Hubei 434020,China)

机构地区：[1]长江大学附属荆州医院放射科,湖北荆州434020

出　　处：《影像研究与医学应用》2024年第24期14-16,21,共4页Journal of Imaging Research and Medical Applications

摘　　要：肺癌位于我国恶性肿瘤发病率与病死率之首,非小细胞肺癌(NSCLC)是其最常见的病理类型。肺癌的早期诊断和治疗有助于提高患者的生存期。近年来,人工智能与医学大数据的快速发展,使得影像组学在NSCLC精准诊疗中具有广泛的应用潜力。本文将对其进行综述及展望。Lung cancer is the malignant tumor with the highest incidence and fatality rate in the world.Non-small cell lung cancer(NSCLC)is the most common pathological type of lung cancer.Patient survival increased with early lung cancer diagnosis and treatment.In recent years,with the rapid development of artificial intelligence and medical big data,radiomics has wide application potential in the diagnosis and treatment of NSCLC.This article will provide an overview and outlook on it.

关 键 词：影像组学 非小细胞肺癌 计算机体层成像 磁共振成像 正电子发射体层扫描 

分 类 号：R445[医药卫生—影像医学与核医学]