Characteristics of chest computed tomography images of patients with prolonged and post COVID-19 with lung lesions treated at the National Lung Hospital (in 92 cases), from January to March 2022

  • Cung Văn Công Bệnh viện Phổi Trung ương

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Keywords

Prolong COVID-19, post-COVID-19, post-COVID-19 chest CT imgages

Abstract

Objective:  To describe the characteristics of chest computed tomography (CT) images of patients in the prolonged period of COVID-19 and post-COVID-19 with lung damage, no history of underlying lung disease, who came to the clinic for examination and treated at the National Lung Hospital. Subject and method: 92 patients with a history of COVID-19 infection for more than 4 weeks, with negative rapid antigen or PCR test results for Sars-CoV-2; signs of respiratory infection, radiographs Chest X-ray showed lung abnormalities, chest computed tomography scan results and was hospitalized for treatment. Retrospective, descriptive, cross-sectional. Result and conclusion: Average age 53.3 ± 17.8 years; male/female was 51/41, persistent dry cough: 76.1%, feeling short of breath, short of breath: 58.7%; chest pain, discomfort in the chest: 41.3%, mild fever: 28.3%, high fever: 8.7%. The average time from COVID-19 infection to hospital admission: 68.5 days. Blood count: Average white blood cell count: 10.2G/L; neutral multinucleus: 79%, average CRP: 12.54mg/l. Chest CT image: GGO: 85.9%, czary paving: 17.4%, solidification: 62%, interstitial fibrosis (subpleural curve/bilateral peripheral reticular opacity): 19.7%, pulmonary varicose veins: 16.3%, bronchiectasis: 53.3%, pulmonary artery thrombosis in the central and subcenter: 12.0%, organization (condensation/halo reversal): 34.8%, hilar and mediastinal lymphadenopathy: 0%, pleural effusion: 1.1%, there were no cases with pericardial effusion, pulmonary lymphadenopathy, mediastinum and cavernous shape; Injury to two lungs: 83.7%. Chest CT has an important role in supporting the diagnosis of lung injury in patients in the prolonged period of COVID-19 and after COVID-19.

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References

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