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Updated: Oct 16, 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 imaging characteristics and their evolution of 48 patients with COVID-19 in Hengyang, China
Yanfen Tang1, Hongwu Liao2,3, Qing Wu4
1Department of Radiology, The Affiliated Nanhua Hospital, Hengyang Medical College, University of South China Hengyang 421002, Hunan, China.
Insights
This study analyzed CT imaging in 48 COVID-19 patients, finding consistent patterns across disease stages. Chest CT effectively detects early lesions, assesses severity, and aids diagnosis for novel coronavirus pneumonia.
Area of Science:
- Radiology
- Infectious Diseases
- Pulmonology
Background:
- The novel coronavirus (2019 nCoV) causes COVID-19, a highly infectious pneumonia that spread rapidly.
- Accurate and timely diagnosis is crucial for managing the COVID-19 outbreak.
Purpose of the Study:
- To retrospectively analyze the imaging characteristics and evolution of COVID-19 pneumonia in different disease stages.
- To establish a basis for clinical diagnosis and treatment using CT imaging.
Main Methods:
- Retrospective analysis of chest CT findings in 48 COVID-19 patients.
- Categorization of patients based on disease severity (mild, moderate, severe).
- Evaluation of imaging manifestations including ground-glass opacity (GGO) and consolidation, and their distribution.
Main Results:
- Chest CT findings were comparable across different stages of COVID-19.
- Ground-glass opacity and consolidation were common, predominantly in bilateral lungs and multi-lobe distributions.
- Post-treatment follow-up showed lesion absorption or persistent GGO in moderate cases.
Conclusions:
- CT imaging is valuable for early detection, severity assessment, and dynamic monitoring of COVID-19 lesions.
- Imaging findings assist in rapid isolation, diagnosis, and treatment planning for COVID-19 patients.
- Understanding COVID-19 imaging performance aids in managing patient condition changes.
Abstract:
The novel coronavirus 2019 (2019 nCoV), appeared in Wuhan in December 2019, can cause a novel coronavirus pneumonia (Corona Virus Disease 2019, COVID-19). COVID-19 is highly infectious and easy to infect people. The epidemic has gradually spread to all parts of the country. In order to provide a basis for clinical diagnosis, this study retrospectively analyzed the imaging characteristics, evolution and related imaging manifestations of COVID-19 patients in different stages of the disease. The results suggest that the imaging findings of 48 COVID-19 patients from Hengyang, Hunan Province are comparable in different stages of the disease. Chest CT showed no pneumonia in one mild patient. Chest CT findings of moderate type (n=38) and severe type (n=9) had comparable characteristics. The main manifestations were ground-glass opacity (GGO) (18/38, 47.37%; 1/9, 11.11%), and GGO with consolidation (16/38, 42.11%; 5/9, 55.56%), which respectively presented in bilateral lungs (34/38, 89.47%; 9/9, 100.00%), and multi-lobe distribution (involving 5 lobes) (17/38, 44.74%; 8/9, 88.89%). After treatment, 28 patients were isolated for 14 days and returned to the hospital for re-examination; among them, the pulmonary lesion was completely absorbed in 15 moderate patients, while 13 patients mainly manifested as GGO. The CT imaging findings of patients with COVID-19 can detect the lesions early, observe the scope of the lesions, evaluate the severity of the lesions, and assist the clinician in completing rapid isolation, diagnosis and treatment. At the same time, it can help to understand the performance of COVID-19 in different stages and dynamically detect changes in the patient's condition.
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