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Updated: Sep 4, 2025

Lung CT Segmentation to Identify Consolidations and Ground Glass Areas for Quantitative Assesment of SARS-CoV Pneumonia
Published on: December 19, 2020
Chest CT Findings and Their Temporal Evolution in COVID-19 Pneumonia
Sandhya K Hemraj1, M J Jacob2, Vidyashree Kotian1
1Department of Radiology, MVJ (M.V. Jayaraman) Medical College and Research Hospital, Bangalore, IND.
Chest CT scans are vital for diagnosing COVID-19 pneumonia, showing key features like ground-glass opacities and consolidation. This imaging aids in early detection and life-saving treatment, especially in resource-limited settings.
Area of Science:
- Radiology
- Infectious Diseases
- Pulmonology
Background:
- Coronavirus disease 2019 (COVID-19) is a pandemic caused by the SARS-CoV-2 virus.
- The virus primarily affects the respiratory tract, with confirmatory diagnosis via RT-PCR.
- Chest CT is crucial for diagnosis, triage, and treatment management of COVID-19 patients.
Purpose of the Study:
- To describe the characteristic chest CT findings in COVID-19 pneumonia.
- To analyze the temporal evolution of these CT findings.
- To highlight the diagnostic utility of CT in COVID-19 management.
Main Methods:
- Retrospective, cross-sectional study of COVID-19 positive patients.
- Review of chest CT images for specific findings: ground-glass opacities, consolidation, crazy-paving, vascular dilatation, etc.
- Recording of axial distribution, ancillary findings, and temporal evolution based on symptom onset to CT scan time.
Main Results:
- Ground-glass opacities and consolidation are key CT features of COVID-19 pneumonia.
- CT findings evolve through stages: early (opacities), progressive (consolidation, crazy-paving, distortion), peak, and late (resolution).
- Opacities show asymmetric, peripheral, subpleural distribution with posterior/lateral predominance and apicobasal gradient.
Conclusions:
- Chest CT enables rapid diagnosis of COVID-19 pneumonia.
- Early diagnosis facilitates timely and appropriate treatment.
- CT imaging is a life-saving tool, particularly in resource-constrained environments.
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