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Coronavirus Disease 2019 (COVID-19): A Perspective from China
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In December 2019, an outbreak of severe acute respiratory syndrome coronavirus 2 infection occurred in Wuhan, Hubei Province, China, and spread across China and beyond. On February 12, 2020, the World Health Organization officially named the disease caused by the novel coronavirus as coronavirus disease 2019 (COVID-19). Because most patients infected with COVID-19 had pneumonia and characteristic CT imaging patterns, radiologic examinations have become vital in early diagnosis and the assessment of disease course. To date, CT findings have been recommended as major evidence for clinical diagnosis of COVID-19 in Hubei, China. This review focuses on the etiology, epidemiology, and clinical symptoms of COVID-19 while highlighting the role of chest CT in prevention and disease control.
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“There are currently a number of different ways to detect COVID-19, whereas computed tomography and X-rays remain the major surgical techniques [80–82].”
From A comprehensive survey on federated learning techniques for healthcare informatics (2023) · cites this paper as [82]
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COVID-19 Infection Presenting with CT Halo Sign
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“The typical chest CT findings include multifocal bilateral GGOs with patchy consolidations, prominent peripherally subpleural distribution and preferred posterior part or lower lobe predilection (Figures 4-9) (14,55-56).”
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“Similarly, Zu et al. [8] and Chung et al. [6] discovered that 33% of chest CTs can have rounded lung opacities.”
BackgroundLymphopenia predicts disease severity of COVID-19: a descriptive and predictive study
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Psychological status of medical workforce during the COVID-19 pandemic: A cross-sectional study
Lu, W. Z., Wang, H., Lin, Y., & Li, L. (2020) · Psychiatry Research · doi:10.1016/j.psychres.2020.112936 · Cited by 1,321
“With the global spread of COVID-19, the challenge for many countries who are now dealing with large clusters or community transmission is obvious.”
InfluentialBai, H. X., Hsieh, B., Xiong, Z., Halsey, K., Choi, J. W., Tran, T. M. L., Pan, I., Shi, L.-B., Wang, D., Ji, M., et al. (2020) · Radiology · doi:10.1148/radiol.2020200823 · Cited by 1,254
“For example, influenza and COVID-19 both demonstrate GGO and consolidation on chest CT (14).”
Background
Metadata
- Authors
- Zu, Z. Y., Jiang, M. D., Xu, P. P., Chen, W., Ni, Q. Q., Lu, G. M., & Zhang, L. J.
- Affiliations
- From the Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing, Jiangsu, China (Z.Y.Z., M.D.J., P.P.X., Q.Q.N., G.M.L., L.J.Z.); and Department of Medical Imaging, Taihe Hospital, Shiyan, Hubei, China (W.C.).
- Nanjing General Hospital of Nanjing Military Command (CN)
- Corresponding author
- Zhang, Long Jiang
- Venue
- Radiology
- Published
- 2020-08
- Volume
- 296
- Issue
- 2
- Pages
- E15-E25
- ISSN
- 0033-8419 (ISSN-L)
- 1527-1315
- PMC
- PMC7233368
- OpenAlex
- W3008627141
- Cited by
- 2,070
- References
- 60
- Citations by year
- 2026: 18 · 2025: 27 · 2024: 97 · 2023: 213 · 2022: 359 · 2021: 612 · 2020: 744
- FWCI
- 63.25
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Radiology (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- National University of Singapore (submittedVersion)
- Funders
- National Key Research and Development Program of China (2017YFC0113400)
- Topics
- Health Sciences › Medicine › Infectious Diseases › COVID-19 Clinical Research Studies
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › COVID-19 diagnosis using AI
- Health Sciences › Medicine › Infectious Diseases › SARS-CoV-2 and COVID-19 Research
- Keywords
- COVID-19 pandemic, SARS-CoV-2, chest CT findings, pneumonia, early diagnosis, clinical symptoms, disease control, Wuhan outbreak, China
- MeSH terms
- Betacoronavirus, COVID-19, SARS-CoV-2, COVID-19 Testing, China, Diagnosis, Differential, Humans, Pneumonia, Viral, Severity of Illness Index, Tomography, X-Ray Computed, Coronavirus Infections, Clinical Laboratory Techniques, Early Diagnosis, Pandemics
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