1. An Insight of the First Community Infected COVID-19 Patient in Beijing by Imported Case: Role of Deep Learning-Assisted CT Diagnosis
- Author
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Na Na Wang, Da Wei Wang, Jian Ping Dong, Da Sheng Li, Chen Xia, Hai Wang Xu, and He Huang
- Subjects
Adult ,Male ,medicine.medical_specialty ,Coronavirus disease 2019 (COVID-19) ,Isolation (health care) ,diagnosis ,Case Report ,03 medical and health sciences ,coronavirus disease 2019 ,0302 clinical medicine ,COVID-19 Testing ,Beijing ,Pandemic ,Medicine ,Humans ,Stage (cooking) ,Intensive care medicine ,imported cases ,Lung ,medicine.diagnostic_test ,business.industry ,Transmission (medicine) ,Nucleic acid test ,deep learning ,COVID-19 ,computed tomography ,General Medicine ,medicine.disease ,Community-Acquired Infections ,Pneumonia ,030220 oncology & carcinogenesis ,business ,Tomography, X-Ray Computed - Abstract
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.
- Published
- 2021