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Updated: Oct 30, 2025

Lung CT Segmentation to Identify Consolidations and Ground Glass Areas for Quantitative Assesment of SARS-CoV Pneumonia
Published on: December 19, 2020
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.
Abstract:
In December 2019, a disease attributed to a new severe acute respiratory syndrome coronavirus 2, and named coronavirus disease 2019 (COVID-19), broke out in Wuhan, China and has spread rapidly throughout the world. CT has been advocated in selected indications as a tool toward rapid and early diagnosis. The CT patterns of COVID-19 include ground glass opacities GGO, consolidation, and crazy paving. Additional signs include a "rounded morphology" of lesions, vascular enlargement sign, nodules, and fibrous stripe. Signs of healing and organization include subpleural bands, a reticular pattern, reversed halo sign and traction bronchiectasis. Cavitation and tree in bud signs are absent and pleural effusions are rare. There is a high incidence of pulmonary embolism associated with COVID-19. CT findings in COVID-19 appear to follow a predictable timeline with maximal involvement approximately 6-11 days after symptom onset. The stages of evolution include early stage (days 0-4) with GGO being the predominant abnormality, progressive stage (days 5-8) with increasing crazy paving; and peak stage (days 9-13) with predominance of consolidation and absorption phase (after day 14) with gradual absorption of consolidation with residual GGO and subpleural bands. CT findings in COVID-19 have a high sensitivity and low specificity, determined to be 98% and 25% in a retrospective study of 1014 patients. The low specificity of CT for the diagnosis of COVID-19 pneumonia is due to the overlap of CT findings with other viral pneumonias and other infections, lung involvement in connective tissue disorders, drug reaction, pulmonary edema, and hemorrhage.
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