摘要
肺癌是中国乃至全球致死率最高的恶性肿瘤,严重威胁人类生命健康。小细胞肺癌(SCLC)约占所有肺癌的15%,是肺癌中最具侵袭性的亚型。相较于非小细胞肺癌,SCLC具有肿瘤倍增时间短、转移早、预后差的特点。影像学检查具有简单、无创的独特优势,在临床应用广泛,是肺部疾病最基本的检查方式。如何通过影像学检查实现SCLC的早发现、早诊断,从而及时干预,已成为SCLC诊疗策略中值得关注并亟待解决的问题之一。近年来,影像学检查技术飞速发展,除了传统的计算机断层成像(CT)、磁共振成像(MRI)、正电子发射断层显像检查(PET/CT),还出现了能谱CT、功能磁共振成像(fMRI)等新技术;与此同时,影像组学与深度学习等研究方法的广泛应用,均为SCLC的准确诊断提供了强有力的帮助。因此,本文就近年来SCLC在影像学诊断方面的研究进行综述,以更好地了解SCLC的常规影像学诊断以及新技术的发展。
Lung cancer is the malignant tumor with the highest fatality rate in China and even the world,threatening human life and health.Small cell lung cancer(SCLC)represents about 15%of all lung cancers and is the most aggressive subtype of lung cancer.Compared with non-small cell lung cancer,SCLC is marked by an exceptionally high proliferative rate,a strong predilection for early metastasis,and a poor prognosis.Imaging has the unique advantages of simplicity and non-invasiveness and is widely used in clinical practice as the most basic examination method for lung diseases.How to detect and diagnose SCLC early through imaging examination to intervene on time has become one of the most significant and urgent problems in SCLC diagnosis and treatment strategy.In recent years,imaging examination technology has developed rapidly,in addition to traditional computed tomography(CT),magnetic resonance imaging(MRI),positron emission tomography and computed tomography(PET/CT),but also the emergence of energy spectrum CT and functional magnetic resonance imaging(fMRI).At the same time,the wide application of research methods has also provided substantial help for SCLC's accurate image diagnosis,such as radiomics and deep learning.Therefore,this paper reviews recent research on the imaging diagnosis of SCLC,aiming to help us better understand the routine imaging diagnosis of SCLC.
作者
蒋旭
苗雷
杨琳
孙旭杰
胡思洁
张丽
李蒙
JIANG Xu;MIAO Lei;YANG Lin;SUN Xujie;HU Sijie;ZHANG Li;LI Meng(Department of Diagnostic Radiology,National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital,Chinese Academy of Medical Sciences and Peking Union Medical College,Beijing 100021,China;不详)
出处
《中华全科医学》
2024年第2期296-300,共5页
Chinese Journal of General Practice
基金
北京市科技计划项目(Z201100005620002)。
关键词
小细胞肺癌
计算机断层成像
正电子发射断层显像检查
磁共振成像
影像组学
深度学习
Small cell lung cancer
Computed tomography
Positron emission tomography and computed tomography
Magnetic resonance imaging
Radiomics
Deep learning
