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Updated: Nov 18, 2025
Lung CT Segmentation to Identify Consolidations and Ground Glass Areas for Quantitative Assesment of SARS-CoV Pneumonia
Published on: December 19, 2020
Dynamic changes in chest CT findings of patients with coronavirus disease 2019 (COVID-19) in different disease
Yilong Huang1, Zhipeng Li2, Honglei Guo1
1Medical Imaging Department, First Affiliated Hospital of Kunming Medical University, Kunming, China.
Insights
High-resolution computed tomography (HRCT) reveals dynamic lung changes in coronavirus disease 2019 (COVID-19) patients. These imaging findings correlate with disease severity and progression over time.
Area of Science:
- Radiology
- Pulmonology
- Infectious Diseases
Background:
- Coronavirus disease 2019 (COVID-19) presents with diverse clinical and radiological manifestations.
- Understanding the temporal evolution of lung abnormalities is crucial for patient management.
Purpose of the Study:
- To investigate dynamic changes in high-resolution computed tomography (HRCT) findings in COVID-19 patients.
- To correlate these HRCT changes with different disease severities and stages.
Main Methods:
- Retrospective analysis of clinical and imaging data from 96 COVID-19 patients.
- Classification of patients into mild, moderate, severe, and critical groups based on severity.
- Categorization of disease course into four stages (0-4, 5-9, 10-14, 15-19 days).
- Analysis of HRCT findings, CT values, and lesion volumes across stages and severity groups.
Main Results:
- Mild COVID-19 cases showed negative CT findings throughout all stages.
- Peripheral lung lesions were more prevalent than central lesions in moderate cases.
- Ground glass opacities decreased, while consolidation and fibrous stripes increased with disease progression in moderate and severe cases.
- Critical cases exhibited significant consolidation, with decreasing CT values and lesion volumes from early to late stages.
Conclusions:
- Dynamic changes observed in lung HRCT are clinically relevant to the course of COVID-19.
- HRCT findings can help assess disease severity and progression.
Background:
To investigate the dynamic changes in high-resolution computed tomography (HRCT) findings of coronavirus disease 2019 (COVID-19) patients with different severities in different disease stages.
Methods:
We retrospectively collected the clinical and imaging data of 96 patients in Yunnan Province, China, who were diagnosed with COVID-19 between January 22 and March 15, 2020. Based on disease severity, the COVID-19 patients were classified into four types: mild (n=15), moderate (n=59), severe (n=19), and critical (n=3). Based on hospital stay and number of computed tomography (CT) scans, the clinical/disease course was divided into four stages, including stage 1 (days 0-4), stage 2 (days 5-9), stage 3 (days 10-14), and stage 4 (days 15-19). The HRCT findings, CT value, and lesion volume were analyzed for each stage and compared among the four stages of COVID-19 patients.
Results:
CT findings were negative over the four stages for all mild COVID-19 patients. More lesions were found in the peripheral lung fields than in peripheral + central fields (P<0.05), and the number of negative patients in stage 4 were more than those in stages 1-3 (P<0.05). The left and right lower lobe were the most frequently affected lobes (P<0.05). In moderate patients, round ground glass opacities (GGOs) decreased from stage 1 to stage 4; partial consolidation peaked in stage 2 and then decreased in stages 3-4; fibrous stripes and subpleural lines increased from stage 1 and peaked in stage 4. Partial consolidation and consolidation were more common in severe patients than in moderate patients over the disease course (P<0.05). Critical patients showed significant partial consolidation and consolidation; The CT value, lesion volume and lesion volume percentage significantly decreased from stages 1-2 to stage 4 (all P<0.05).
Conclusions:
The dynamic changes in lung HRCT images are clinically related to the disease course of COVID-19.
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