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Lung CT Segmentation to Identify Consolidations and Ground Glass Areas for Quantitative Assesment of SARS-CoV Pneumonia
Published on: December 19, 2020
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[Dynamic changes of chest CT imaging in patients with COVID-19]
Jincheng Wang1, Jinpeng Liu1, Yuanyuan Wang1
1Radiology Department, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China.
Summary
Dynamic chest CT scans reveal key changes in coronavirus disease 2019 (COVID-19) lung lesions. Ground-glass opacities evolve into fibrous stripes, aiding disease monitoring and treatment.
Area of Science:
- Radiology
- Infectious Diseases
- Pulmonology
Background:
- Coronavirus disease 2019 (COVID-19) presents with diverse pulmonary manifestations.
- Chest computed tomography (CT) is crucial for diagnosing and monitoring COVID-19.
- Understanding the dynamic changes in CT findings is essential for patient management.
Purpose of the Study:
- To analyze the dynamic changes observed in chest CT images of patients diagnosed with COVID-19.
- To correlate CT imaging findings with disease progression and resolution patterns.
Main Methods:
- Retrospective analysis of chest CT scans from 52 COVID-19 patients.
- Average of 4 scans per patient during hospitalization, with 2-7 day intervals.
- Review of lung shadow characteristics, including shape, number, distribution, and lesion features.
Main Results:
- 50 out of 52 patients showed lung infiltrates on CT.
- Ground-glass opacities (GGO) were prevalent (92.3%), followed by consolidation (36.5%).
- Lesions progressed rapidly in 75% of cases within 6-9 days, with distinct resolution by days 10-14 in 76.9%.
Conclusions:
- Chest CT imaging in COVID-19 exhibits characteristic dynamic changes.
- The evolution from GGO to fibrous stripes is a key observation.
- CT findings are valuable for monitoring disease progress and guiding clinical treatment.
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