Chest radiography findings of COVID-19 pneumonia
| Autor: | Giovanni Morana, Micaela Romagnoli, Carla Felice, Roberto Rigoli, Cosimo Nardi, Giovanni Tessarin, Martina Orlandi, Luca Saba, Nicholas Landini, Luca Scaldaferri, Alberto Dorigo, Pierluigi Ciet, Giulia Colzani, Luca Bertana |
|---|---|
| Přispěvatelé: | Radiology & Nuclear Medicine, Pediatrics |
| Jazyk: | angličtina |
| Rok vydání: | 2022 |
| Předmět: |
medicine.medical_specialty
Coronavirus disease 2019 (COVID-19) Pleural effusion Radiography SARS-CoV-2 virus Logistic regression Diagnosis Differential COVID 19 diagnostic X-ray differential diagnosis pneumonitis Humans Medicine Radiology Nuclear Medicine and imaging Lung Retrospective Studies Pneumonitis Radiological and Ultrasound Technology SARS-CoV-2 business.industry COVID-19 General Medicine medicine.disease Pleural Effusion Pneumonia medicine.anatomical_structure Radiography Thoracic Radiology Differential diagnosis Tomography X-Ray Computed business |
| Zdroj: | Acta Radiologica, 63(12), 1619-1626. SAGE Publications Ltd |
| ISSN: | 0284-1851 |
| Popis: | Background Chest radiography (CR) patterns for the diagnosis of COVID-19 have been established. However, they were not ideated comparing CR features with those of other pulmonary diseases. Purpose To create the most accurate COVID-19 pneumonia pattern comparing CR findings of COVID-19 and non-COVID-19 pulmonary diseases and to test the model against the British Society of Thoracic Imaging (BSTI) criteria. Material and Methods CR of COVID-19 and non-COVID-19 pulmonary diseases, admitted to the emergency department, were evaluated. Assessed features were interstitial opacities, ground glass opacities, and/or consolidations and the predominant lung alteration. We also assessed uni-/bilaterality, location (upper/middle/lower), and distribution (peripheral/perihilar), as well as pleural effusion and perihilar vessels blurring. A binary logistic regression was adopted to obtain the most accurate CR COVID-19 pattern, and sensitivity and specificity were computed. The newly defined pattern was compared to BSTI criteria. Results CR of 274 patients were evaluated (146 COVID-19, 128 non-COVID-19). The most accurate COVID-19 pneumonia pattern consisted of four features: bilateral alterations (Expß=2.8, P=0.002), peripheral distribution of the predominant (Expß=2.3, P=0.013), no pleural effusion (Expß=0.4, P=0.009), and perihilar vessels’ contour not blurred (Expß=0.3, P=0.002). The pattern showed 49% sensitivity, 81% specificity, and 64% accuracy, while BSTI criteria showed 51%, 77%, and 63%, respectively. Conclusion Bilaterality, peripheral distribution of the predominant lung alteration, no pleural effusion, and perihilar vessels contour not blurred determine the most accurate COVID-19 pneumonia pattern. Lower field involvement, proposed by BSTI criteria, was not a distinctive finding. The BSTI criteria has lower specificity. |
| Databáze: | OpenAIRE |
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