Comparison of temporal evolution of computed tomography imaging features in COVID-19 and influenza infections in a multicenter cohort study. (2022)

• Record Type: Journal Article
• Authors: Fischer, Tim; El Baz, Yassir; Scanferla, Giulia; Graf, Nicole; Waldeck, Frederike; Kleger, Gian-Reto; Frauenfelder, Thomas; Bremerich, Jens; Kobbe, Sabine Schmidt; Pagani, Jean-Luc; Schindera, Sebastian; Conen, Anna; Wildermuth, Simon; Leschka, Sebastian; Strahm, Carol; Waelti, Stephan; Dietrich, Tobias Johannes; Albrich, Werner C.
• Is Part Of: European journal of radiology open. Volume 9(2022)
• Publication Date: 2022
• Subjects: COPD Chronic obstructive pulmonary disease -- COVID-19 Coronavirus disease 2019 -- CT Computed tomography -- HSCT Haematopoietic stem cell transplantation -- GGO Ground glass opacity -- HIV Human immunodeficiency virus -- ICC Intraclass correlation coefficient -- ICU Intensive care unit -- IQR Interquartile range -- PCR Polymerase chain reaction -- SD Standard deviation -- SOT Solid organ transplantation; COVID-19 -- Influenza -- Pneumonia -- Lung -- Computed tomography; Medical radiology -- Periodicals; 616.075705
• DOI: 10.1016/j.ejro.2022.100431
• Languages: English
• ISSNs: 2352-0477

Abstract

Abstract: 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 < 0.001), but also less pleural (p = 0.005) and pericardial (p = 0.003) effusion favor COVID-19 over influenza. Regardless of time point, less lung involvement (p < 0.001), tree-in-bud (p = 0.002) and pericardial effusion (p = 0.01) make influenza more likely than COVID-19. Conclusions: This study identified differences in temporal evolution of imaging features between COVID-19 and influenza. These findings may help to distinguish both diseases in critically ill patients when laboratory findings are delayed or inconclusive. Highlights: Decision tree analysis helps to distinguish COVID-19 and Influenza. Pleural effusion is a typical feature of influenza in early disease. Ground glass opacities indicate COVID-19 in early disease. Lung involvement remains high in COVID-19 patients > 14 days after the diagnosis. Pleural and pericardial effusion favor influenza over COVID-19 in later disease.