Article ; Online: Dynamic evolution of lung abnormalities evaluated by quantitative CT techniques in patients with COVID-19 infection.
2020 Volume 148, Page(s) e136
Abstract: ... of this study was to determine the evolution of lung abnormalities evaluated by quantitative CT techniques ... patients with COVID-19 infection from 30 January 2020 through 11 March 2020. Repeat chest CT examinations ... Chest CT evaluation is often vital to determine patients suspected of COVID-19 pneumonia. The aim ...
| Abstract | Chest CT evaluation is often vital to determine patients suspected of COVID-19 pneumonia. The aim of this study was to determine the evolution of lung abnormalities evaluated by quantitative CT techniques in patients with COVID-19 infection from initial diagnosis to recovery. This retrospective study included 16 patients with COVID-19 infection from 30 January 2020 through 11 March 2020. Repeat chest CT examinations were obtained for three or more scans per patient. We measured total volume and mean CT value of lung lesions in each patient per scan, and then calculated the mass, which equals to volume × (CT value + 1000). Dynamic evolution of chest CT imaging as a function of time was fitted by non-linear regression model in terms of mass, volume and CT value, respectively. According to the fitting curves, we redefined the evolution of lung abnormalities: progressive stage (0-5 days), infection emerged and rapidly aggravated; peak stage (5-15 days), the greatest severity at approximate 7-8 days after onset; and absorption stage (15-30 days), the lesions slowly and gradually resolved. |
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| MeSH term(s) | COVID-19 ; Coronavirus Infections/diagnostic imaging ; Coronavirus Infections/pathology ; Disease Progression ; Female ; Humans ; Lung/diagnostic imaging ; Lung/pathology ; Male ; Middle Aged ; Pandemics ; Pneumonia, Viral/diagnostic imaging ; Pneumonia, Viral/pathology ; Retrospective Studies ; Tomography, X-Ray Computed |
| Keywords | covid19 |
| Language | English |
| Publishing date | 2020-07-06 |
| Publishing country | England |
| Document type | Journal Article |
| ZDB-ID | 632982-2 |
| ISSN | 1469-4409 ; 0950-2688 |
| ISSN (online) | 1469-4409 |
| ISSN | 0950-2688 |
| DOI | 10.1017/S0950268820001508 |
| Database | MEDical Literature Analysis and Retrieval System OnLINE |
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