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Updated: Nov 24, 2025

Lung CT Segmentation to Identify Consolidations and Ground Glass Areas for Quantitative Assesment of SARS-CoV Pneumonia
Published on: December 19, 2020
Pattern and Age Distribution of COVID-19 on Pulmonary Computed Tomography
Omar Muayad Sultan1, Dhia Mahdey Alghazali2, Haider Al-Tameemi3
1College of Medicine, Lecturer of radiodiagnosis, Director of Medical Education Unit (MEU), Tikrit University, Tikrit, Iraq.
Computed tomography (CT) scans reveal that ground-glass opacities are common in COVID-19 patients. These CT findings and their distribution appear to vary with patient age.
Area of Science:
- Radiology
- Infectious Diseases
- Pulmonology
Background:
- COVID-19 (Coronavirus Disease 2019) emerged as a global health concern.
- Computed tomography (CT) is crucial for diagnosing COVID-19 pneumonia.
Purpose of the Study:
- To characterize pulmonary CT findings in COVID-19 patients.
- To analyze the distribution of these findings across different age groups.
Main Methods:
- Retrospective analysis of chest CT scans from 104 symptomatic COVID-19 patients in Iraq.
- Patients were categorized into three age groups: young adult (20-39), middle age (40-59), and old age (60-90).
Main Results:
- Ground-glass opacities (GGO) were the most frequent finding (92.3%), often bilateral and peripheral.
- Consolidation, bronchovascular thickening, and crazy-paving patterns were also observed.
- Young adults showed significantly lower frequencies of consolidation, diffuse changes, bilateral disease, and multi-lobar involvement compared to older groups.
Conclusions:
- Bilateral, peripheral GGO with right and lower lobe predilection are characteristic CT findings in COVID-19.
- The pattern and distribution of CT abnormalities in COVID-19 may be age-specific.
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