Article ; Online: Variable computed tomography appearances of COVID-19.
2020 Volume 61, Issue 7, Page(s) 387–391
Abstract: The coronavirus disease 2019 (COVID-19) is typically diagnosed by specific assays that detect viral nucleic acid from the upper respiratory tract; however, this may miss infections involving only the lower airways. Computed tomography (CT) has been ... ...
Abstract | The coronavirus disease 2019 (COVID-19) is typically diagnosed by specific assays that detect viral nucleic acid from the upper respiratory tract; however, this may miss infections involving only the lower airways. Computed tomography (CT) has been described as a diagnostic modality in the COVID-19 diagnosis and treatment plan. We present a case series with virologically confirmed COVID-19 pneumonia. Variable CT features were observed: consolidation with ground-glass opacities, ground-glass opacities with subpleural reticular bands, and an anterior-posterior gradient of lung abnormalities resembling that of acute respiratory distress syndrome. Evolution of CT findings was observed in one patient, where there was interval resolution of bilateral lung consolidation with development of bronchiolectasis and subpleural fibrotic bands. While sensitive for detecting lung parenchymal abnormalities in COVID-19 pneumonia, the use of CT for initial diagnosis is discouraged and should be reserved for specific clinical indications. Interpretation of chest CT findings should be correlated with duration of symptoms to better determine the disease stage and aid in patient management. |
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MeSH term(s) | Aged ; Betacoronavirus ; COVID-19 ; Coronavirus Infections/diagnosis ; Diagnosis, Differential ; Female ; Humans ; Lung/diagnostic imaging ; Male ; Middle Aged ; Pandemics ; Pneumonia, Viral/diagnosis ; SARS-CoV-2 ; Tomography, X-Ray Computed/methods |
Keywords | covid19 |
Language | English |
Publishing date | 2020-04-21 |
Publishing country | India |
Document type | Case Reports ; Journal Article |
ZDB-ID | 604319-7 |
ISSN | 2737-5935 ; 0037-5675 |
ISSN (online) | 2737-5935 |
ISSN | 0037-5675 |
DOI | 10.11622/smedj.2020066 |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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