| Autor: |
Tim Fischer, Yassir El Baz, Giulia Scanferla, Nicole Graf, Frederike Waldeck, Gian-Reto Kleger, Thomas Frauenfelder, Jens Bremerich, Sabine Schmidt Kobbe, Jean-Luc Pagani, Sebastian Schindera, Anna Conen, Simon Wildermuth, Sebastian Leschka, Carol Strahm, Stephan Waelti, Tobias Johannes Dietrich, Werner C. Albrich |
| Jazyk: |
angličtina |
| Rok vydání: |
2022 |
| Předmět: |
|
| Zdroj: |
European Journal of Radiology Open, Vol 9, Iss , Pp 100431- (2022) |
| Druh dokumentu: |
article |
| ISSN: |
2352-0477 |
| DOI: |
10.1016/j.ejro.2022.100431 |
| Popis: |
Purpose: To compare temporal evolution of imaging features of coronavirus disease 2019 (COVID-19) and influenza in computed tomography and evaluate their predictive value for distinction. Methods: In this retrospective, multicenter study 179 CT examinations of 52 COVID-19 and 44 influenza critically ill patients were included. Lung involvement, main pattern (ground glass opacity, crazy paving, consolidation) and additional lung and chest findings were evaluated by two independent observers. Additional findings and clinical data were compared patient-wise. A decision tree analysis was performed to identify imaging features with predictive value in distinguishing both entities. Results: In contrast to influenza patients, lung involvement remains high in COVID-19 patients > 14 days after the diagnosis. The predominant pattern in COVID-19 evolves from ground glass at the beginning to consolidation in later disease. In influenza there is more consolidation at the beginning and overall less ground glass opacity (p = 0.002). Decision tree analysis yielded the following: Earlier in disease course, pleural effusion is a typical feature of influenza (p = 0.007) whereas ground glass opacities indicate COVID-19 (p = 0.04). In later disease, particularly more lung involvement (p |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
|
