CT manifestations of coronavirus disease-2019: A retrospective analysis of 73 cases by disease severity

Eur J Radiol. 2020 May:126:108941. doi: 10.1016/j.ejrad.2020.108941. Epub 2020 Mar 12.

Abstract

Purpose: To report CT features of coronavirus disease-2019 (COVID-19) in patients with various disease severity.

Methods: The CT manifestations and clinical data of 73 patients with COVID-19 were retrospectively collected in 6 hospitals from Jan 21 to Feb 3, 2020. We analyzed the initial and follow-up CT features of patients with disease severity, according to the Guidelines for the Diagnosis and Treatment of New Coronavirus Pneumonia.

Results: Six patients (8%) were diagnosed as mild type pneumonia; these patients had no obvious abnormal CT findings or manifested mild changes of lung infection. All 43 patients (59 %) with common type presented unique or multiple ground-glass opacities (GGO) in the periphery of the lungs, with or without interlobular septal thickening. In the 21 patients (29 %) with severe type, extensive GGO and pulmonary consolidation were found in 16 cases (16/21, 76 %) and 5 cases (24 %), respectively. An extensive "white lung", with atelectasis and pleural effusion were found in critical type patients (3, 4%). On the resolutive phase of the disease, CT abnormalities showed complete resolution, or demonstrated residual linear opacities.

Conclusions: Different CT features are seen according to disease severity, which can help COVID-19 stratification.

Keywords: Computer tomography; Coronavirus disease-2019; Diagnosis; Pneumonia; X-ray.

MeSH terms

  • Adolescent
  • Adult
  • Aged
  • Aged, 80 and over
  • Betacoronavirus*
  • COVID-19
  • Child
  • Child, Preschool
  • Coronavirus Infections / diagnostic imaging*
  • Disease Progression
  • Female
  • Humans
  • Male
  • Middle Aged
  • Pandemics
  • Pleural Effusion
  • Pneumonia, Viral / diagnostic imaging*
  • Pulmonary Atelectasis / diagnostic imaging
  • Retrospective Studies
  • SARS-CoV-2
  • Severity of Illness Index
  • Tomography, X-Ray Computed
  • Young Adult