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

作     者：Dasheng Li Dawei Wang Nana Wang Haiwang Xu He Huang Jianping Dong Chen Xia Dasheng Li;Dawei Wang;Nana Wang;Haiwang Xu;He Huang;Jianping Dong;Chen Xia

作者机构：Department of RadiologyBeijing Haidian Section of Peking University Third Hospital(Beijing Haidian Hospital)Beijing 100080China Institute of Advanced ResearchInfervision Medical Technology Co.Ltd.Beijing 100025China Department of InfectionBeijing Haidian Section of Peking University Third Hospital(Beijing Haidian Hospital)Beijing 100080China 

出 版 物：《Chinese Medical Sciences Journal》 (中国医学科学杂志（英文版）)

年 卷 期：2021年第36卷第1期

页      面：66-71页

核心收录：

学科分类：1002[医学-临床医学] 100201[医学-内科学(含：心血管病、血液病、呼吸系病、消化系病、内分泌与代谢病、肾病、风湿病、传染病)] 10[医学] 

主　　题：coronavirus disease 2019 imported cases computed tomography deep learning diagnosis 

摘      要：In the era of coronavirus disease 2019(COVID-19)pandemic,imported COVID-19 cases pose great challenges to many *** CT examination is considered to be complementary to nucleic acid test for COVID-19 detection and *** 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 *** 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 *** patient was confirmed as COVID-19 case after nucleic acid test,for which the community transmission was prevented *** roles of DL-assisted diagnosis in helping radiologists screening suspected COVID cases were discussed.