Imaging Features of Coronavirus disease 2019 (COVID-19): Evaluation on Thin-Section CT

  • Author Footnotes
    # Chun Shuang Guan and Zhi Bin Lv contributed equally to this work and should be considered co-first authors.
    Chun Shuang Guan
    Footnotes
    # Chun Shuang Guan and Zhi Bin Lv contributed equally to this work and should be considered co-first authors.
    Affiliations
    Department of Radiology, Beijing Ditan Hospital, Capital Medical University, No. 8 Jingshun East Street, Chaoyang District, Beijing, China
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  • Author Footnotes
    # Chun Shuang Guan and Zhi Bin Lv contributed equally to this work and should be considered co-first authors.
    Zhi Bin Lv
    Footnotes
    # Chun Shuang Guan and Zhi Bin Lv contributed equally to this work and should be considered co-first authors.
    Affiliations
    Department of Radiology, Beijing Ditan Hospital, Capital Medical University, No. 8 Jingshun East Street, Chaoyang District, Beijing, China
    Search for articles by this author
  • Shuo Yan
    Affiliations
    Department of Radiology, Beijing Ditan Hospital, Capital Medical University, No. 8 Jingshun East Street, Chaoyang District, Beijing, China
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  • Yan Ni Du
    Affiliations
    Department of Radiology, Beijing Ditan Hospital, Capital Medical University, No. 8 Jingshun East Street, Chaoyang District, Beijing, China
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  • Hui Chen
    Affiliations
    Department of Radiology, Beijing Ditan Hospital, Capital Medical University, No. 8 Jingshun East Street, Chaoyang District, Beijing, China
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  • Lian Gui Wei
    Affiliations
    Department of Radiology, Beijing Ditan Hospital, Capital Medical University, No. 8 Jingshun East Street, Chaoyang District, Beijing, China
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  • Ru Ming Xie
    Affiliations
    Department of Radiology, Beijing Ditan Hospital, Capital Medical University, No. 8 Jingshun East Street, Chaoyang District, Beijing, China
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  • Bu Dong Chen
    Correspondence
    Address correspondence to: B.D.C.
    Affiliations
    Department of Radiology, Beijing Ditan Hospital, Capital Medical University, No. 8 Jingshun East Street, Chaoyang District, Beijing, China
    Search for articles by this author
  • Author Footnotes
    # Chun Shuang Guan and Zhi Bin Lv contributed equally to this work and should be considered co-first authors.
Published:March 20, 2020DOI:https://doi.org/10.1016/j.acra.2020.03.002

      Rationale and Objectives

      To retrospectively analyze the chest imaging findings in patients with coronavirus disease 2019 (COVID-19) on thin-section CT.

      Materials and Methods

      Fifty-three patients with confirmed COVID-19 infection underwent thin-section CT examination. Two chest radiologists independently evaluated the imaging in terms of distribution, ground-glass opacity (GGO), consolidation, air bronchogram, stripe, enlarged mediastinal lymph node, and pleural effusion.

      Results

      Fourty-seven cases (88.7%) had findings of COVID-19 infection, and the other six (11.3%) were normal. Among the 47 cases, 78.7% involved both lungs, and 93.6% had peripheral infiltrates distributed along the subpleural area. All cases showed GGO, 59.6% of which were round and 40.4% patchy. Other imaging features included “crazy-paving pattern” (89.4%), consolidation (63.8%), and air bronchogram (76.6%). Air bronchograms were observed within GGO (61.7%) and consolidation (70.3%). Neither enlarged mediastinal lymph nodes nor pleural effusion were present. Thirty-three patients (62.3%) were followed an average interval of 6.2 ± 2.9 days. The lesions increased in 75.8% and resorbed in 24.2% of patients.

      Conclusion

      COVID-19 showed the pulmonary lesions in patients infected with COVID-19 were predominantly distributed peripherally in the subpleural area.

      Key Words

      Abbreviations:

      WHO (World Health Organization), SARS-CoV-2 (severe acute respiratory syndrome coronavirus 2), COVID-19 (coronavirus disease 2019), CT (computed tomography), NAATs (nucleic acid amplification tests), RT-PCR (real-time reverse transcription-polymerase chain reaction), HU (Hounsfield Unit), GGO (ground-glass opacity), SARS (severe acute respiratory syndrome), SARS-CoV (SARS-associated coronavirus;MERS, Middle East respiratory syndrome), MERS-CoV (MERS-associated coronavirus)
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