Role of Chest CT in COVID-19

Nagina Malguria1, Li-Hsiang Yen2, Tony Lin1

  • 1Department of Radiology, Johns Hopkins Hospital, Baltimore, Maryland, United States.

Insights

Computed tomography (CT) reveals characteristic patterns for diagnosing coronavirus disease 2019 (COVID-19) pneumonia, showing distinct stages of lung changes over time. However, CT has low specificity due to overlapping findings with other lung conditions.

Area of Science:

  • Radiology
  • Infectious Diseases
  • Pulmonology

Background:

  • The emergence of coronavirus disease 2019 (COVID-19) in late 2019 necessitated rapid diagnostic tools.
  • Computed tomography (CT) has been considered for early COVID-19 diagnosis due to its ability to visualize lung abnormalities.

Purpose of the Study:

  • To describe the typical CT imaging patterns associated with COVID-19 pneumonia.
  • To outline the temporal evolution of CT findings in COVID-19 patients.
  • To assess the sensitivity and specificity of CT for COVID-19 diagnosis.

Main Methods:

  • Review of CT findings in patients diagnosed with COVID-19.
  • Identification of characteristic patterns such as ground glass opacities (GGO), consolidation, and crazy paving.
  • Analysis of the chronological progression of these findings post-symptom onset.

Main Results:

  • Common CT patterns include GGO, consolidation, crazy paving, rounded opacities, and vascular enlargement.
  • CT findings evolve predictably through early, progressive, peak, and absorption phases.
  • CT demonstrated high sensitivity (98%) but low specificity (25%) in a large retrospective study.
  • Pulmonary embolism is frequently associated with COVID-19.

Conclusions:

  • CT imaging provides valuable insights into the lung manifestations of COVID-19.
  • The temporal evolution of CT findings aids in understanding disease progression.
  • Low specificity necessitates correlation with clinical and laboratory data for definitive COVID-19 diagnosis.

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