Chinese Medical Sciences Journal ›› 2021, Vol. 36 ›› Issue (1): 66-71.doi: 10.24920/003788

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  1. 1放射科,北京大学第三医院北京海淀院区(北京海淀医院),北京100080,中国
    2北京推想科技有限公司先进研究院,北京 100025,中国
  • 收稿日期:2020-05-28 接受日期:2020-07-16 出版日期:2021-03-31
  • 通讯作者: 李大胜

An Insight of the First Community Infected COVID-19 Patient in Beijing by Imported Case: Role of Deep Learning-Assisted CT Diagnosis

Dasheng Li1,*(),Dawei Wang2,Nana Wang1,Haiwang Xu1,He Huang1,Jianping Dong3,Chen Xia2   

  1. 1Department of Radiology, Beijing Haidian Section of Peking University Third Hospital (Beijing Haidian Hospital), Beijing 100080, China
    2Institute of Advanced Research, Infervision Medical Technology Co., Ltd., Beijing 100025, China
    3Department of Infection, Beijing Haidian Section of Peking University Third Hospital (Beijing Haidian Hospital), Beijing 100080, China;
  • Received:2020-05-28 Accepted:2020-07-16 Published:2021-03-31
  • Contact: Dasheng Li


在新型冠状病毒肺炎(COVID-19)全球大流行的时代,输入型COVID-19病例给许多国家的疫情防控带来巨大挑战。对于COVID-19的检测和诊断,胸部CT检查可以作为核酸检测结果的有效补充手段。我们报道了中国北京第一例由输入型病例获得COVID-19感染的患者。我们发现胸部CT上结节性病变是该COVID-19患者的早期影像学表现, 深度学习(deep learning,DL)辅助诊断系统定量监测患者肺部病变的发展情况,并及时预警为疑似肺炎,由此我们迅速对该患者进行了医学隔离。经核酸检测,患者最终被确诊为COVID-19,因而社区传播获得了及时的控制。本文进一步讨论了基于DL的CT辅助诊断系统在协助医生筛查和预警COVID-19疑似病例过程中的作用。

关键词: 输入型病例, 新型冠状病毒肺炎, CT检查, 深度学习, 诊断


In the era of coronavirus disease 2019 (COVID-19) pandemic, imported COVID-19 cases pose great challenges to many countries. Chest CT examination is considered to be complementary to nucleic acid test for COVID-19 detection and diagnosis. We report the first community infected COVID-19 patient by an imported case in Beijing, which manifested as nodular lesions on chest CT imaging at the early stage. Deep Learning (DL)-based diagnostic systems quantitatively monitored the progress of pulmonary lesions in 6 days and timely made alert for suspected pneumonia, so that prompt medical isolation was taken. The patient was confirmed as COVID-19 case after nucleic acid test, for which the community transmission was prevented timely. The roles of DL-assisted diagnosis in helping radiologists screening suspected COVID cases were discussed.

Key words: coronavirus disease 2019, imported cases, computed tomography, deep learning, diagnosis

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