摘要
亚实性结节(SSNs)是一种早期肺腺癌影像学改变特征,对肺腺癌良恶性判别至关重要,可出现在原位腺癌(AIS)、非典型腺瘤样增生(AAH)、微浸润性腺癌(MIA)等不同病理状态下的肺腺癌中。本文从肺腺癌的病理组织学分类、SSNs特征、SSNs疾病的发展、CT辅助下SSNs良恶性鉴别诊断、机器学习用于影像学诊断及SSNs的临床治疗几个方面,探讨SSNs的诊疗研究进展。
Subsolid nodules(SSNs)are radiographic features of early stage lung adenocarcinoma,which is essential for distinguishing benign from malignant lung adenocarcinoma.SSNs may occur in adenocarcinoma in situ(AIS),atypical adenomatous hyperplasia(AAH),microinvasive adenocarcinoma(MIA)and other lung adenocarcinoma under different pathological conditions.This paper discusses the progress of diagnosis and treatment of SSNs from the aspects of histopathological classification,SSNs characteristics of lung adenocarcinoma,the development of SSNs disease,the differential diagnosis between benign and malignant SSNs assisted by CT,the application of machine learning in imaging diagnosis and the clinical treatment of SSNs.
作者
曾能永
ZENG Neng-yong(Respiratory and Critical Medicine Department,the Second People's Hospital of Qinzhou,Qinzhou 535000,China)
出处
《临床医学研究与实践》
2020年第8期193-194,198,共3页
Clinical Research and Practice
基金
钦州市科学研究与技术开发计划项目(No.201616806)。
关键词
亚实性结节
肺腺癌
组织学分类
鉴别诊断
subsolid nodules
lung adenocarcinoma
histological classification
differential diagnosis
