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An Insight of the First Community Infected COVID-19 Patient in Beijing by Imported Case: Role of Deep
Da Sheng Li1, Da Wei Wang2, Na Na Wang1
1Department of Radiology, Beijing Haidian Section of Peking University Third Hospital (Beijing Haidian Hospital), Beijing 100080, China.
Insights
Early detection of community COVID-19 transmission is crucial. Deep learning systems aided in monitoring pulmonary lesions from an imported case, enabling prompt isolation and preventing further spread.
Area of Science:
- Radiology
- Artificial Intelligence
- Infectious Diseases
Background:
- Imported coronavirus disease 2019 (COVID-19) cases present challenges for containment.
- Chest computed tomography (CT) complements nucleic acid tests for COVID-19 diagnosis.
- Early-stage COVID-19 can manifest as nodular lesions on chest CT.
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.
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