An Insight of the First Community Infected COVID-19 Patient in Beijing by Imported Case: Role of Deep Learning-Assisted CT Diagnosis.
- Author:
Da Sheng LI
1
;
Da Wei WANG
2
;
Na Na WANG
1
;
Hai Wang XU
1
;
He HUANG
1
;
Jian Ping DONG
2
;
Chen XIA
3
Author Information
- Publication Type:Journal Article
- MeSH: Adult; Beijing; COVID-19/diagnostic imaging*; COVID-19 Testing/methods*; Community-Acquired Infections/diagnostic imaging*; Deep Learning; Humans; Lung/diagnostic imaging*; Male; Tomography, X-Ray Computed/methods*
- From: Chinese Medical Sciences Journal 2021;36(1):66-71
- CountryChina
- Language:English
- 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.
