| Autor: |
Yongxing Yun, Ying Wang, Yuantao Hao, Lin Xu, Qingxian Cai |
| Jazyk: |
angličtina |
| Rok vydání: |
2021 |
| Předmět: |
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| Zdroj: |
European Journal of Radiology Open, Vol 8, Iss , Pp 100305- (2021) |
| Druh dokumentu: |
article |
| ISSN: |
2352-0477 |
| DOI: |
10.1016/j.ejro.2020.100305 |
| Popis: |
Background & Aims: Computed tomography (CT) is widely used to evaluate the severity of COVID-19 infection and track disease progression. We described the changes in chest CT to enable better understanding of the progression of COVID-19 during hospitalization. Methods: Consecutively hospitalized COVID-19 patients admitted from January 11, 2020 to February 16, 2020 and followed until March 26, 2020 at the Third People’s Hospital of Shenzhen, China were included. Semi- quantitative analysis was used to assess the shape, distribution, and range of lung lesions. For each image, the lungs were divided into six regions. The total CT score was the sum of individual region scores. Results: 305 patients underwent a total of 1442 chest CT scans with a mean interval of 5 days (interquartile range (IQR) = 3−6 days). All patients were discharged after an average hospitalization of 25 days (IQR = 20−33 days). From the onset of initial symptoms, the total CT score peaked at an earlier date in the non-severe than the severe cases (13 days versus 15 days). Typical CT image of non-severe cases mainly presented as ground-glass opacities (GGO), whilst GGO mixed with consolidation was more seen in severe cases. In addition, severe versus non-severe cases had higher prevalence of fibrosis and air bronchogram in CT scans (P from |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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