Cited by 2,751COVID-19 Clinical Research StudiesCOVID-19 diagnosis using AISARS-CoV-2 and COVID-19 Research

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CT Imaging Features of 2019 Novel Coronavirus (2019-nCoV)

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Chung, Michael, Bernheim, Adam, Mei, Xueyan, Zhang, Ning, Huang, Mingqian, Zeng, Xianjun, Cui, Jiufa, Xu, Wenjian, Yang, Yang, Fayad, Zahi A., Jacobi, Adam, Li, Kunwei, Li, Shaolin, Shan, Hong·2020·Radiology

DOI 10.1148/radiol.2020200230PMC PMC7194022

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Abstract

In this retrospective case series, chest CT scans of 21 symptomatic patients from China infected with the 2019 novel coronavirus (2019-nCoV) were reviewed, with emphasis on identifying and characterizing the most common findings. Typical CT findings included bilateral pulmonary parenchymal ground-glass and consolidative pulmonary opacities, sometimes with a rounded morphology and a peripheral lung distribution. Notably, lung cavitation, discrete pulmonary nodules, pleural effusions, and lymphadenopathy were absent. Follow-up imaging in a subset of patients during the study time window often demonstrated mild or moderate progression of disease, as manifested by increasing extent and density of lung opacities.

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Authors: Chung, M., Bernheim, A., Mei, X., Zhang, N., Huang, M., Zeng, X., Cui, J., Xu, W., Yang, Y., Fayad, Z. A., Jacobi, A., Li, K., Li, S., & Shan, H.
Affiliations: Affiliated Hospital of Qingdao University (CN)
Sun Yat-sen University (CN)
Corresponding author: Shan, Hong
ORCID: Chung, Michael
Bernheim, Adam
Mei, Xueyan
Zhang, Ning
Huang, Mingqian
Zeng, Xianjun
Cui, Jiufa
Xu, Wenjian
Yang, Yang
Fayad, Zahi A.
Jacobi, Adam
Li, Kunwei
Li, Shaolin
Shan, Hong
Venue: Radiology
Publisher: Radiological Society of North America (RSNA)
Published: 2020-04
Volume: 295
Issue: 1
Pages: 202-207
ISSN: 0033-8419 (ISSN-L)
1527-1315
DOI: 10.1148/radiol.2020200230
PMC: PMC7194022
OpenAlex: W3004906315
Cited by: 2,751
References: 8
Citations by year: 2026: 15 · 2025: 48 · 2024: 117 · 2023: 217 · 2022: 412 · 2021: 776 · 2020: 1162
FWCI: 83.76
Type: journal article
Language: en
Open access: green
www.ncbi.nlm.nih.gov
Locations: Radiology (publishedVersion)
PubMed Central (publishedVersion)
PubMed (publishedVersion)
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: SARS-CoV-2, COVID-19 pandemic, chest CT findings, ground-glass opacities, lung consolidation, lung opacity, disease progression, pulmonary nodules, pleural effusion, lymphadenopathy, lung cavitation
MeSH terms: Betacoronavirus, COVID-19, SARS-CoV-2, COVID-19 Testing, Adult, Aged, Female, Humans, Lung, Male, Middle Aged, Pneumonia, Viral, Retrospective Studies, Tomography, X-Ray Computed, Coronavirus Infections, Disease Progression, Clinical Laboratory Techniques, Severe Acute Respiratory Syndrome

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