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

• Case Report • Previous Articles     Next Articles

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 Online:2021-04-14
  • Contact: Dasheng Li E-mail:724501143@qq.com

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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