1. Chest radiography findings of COVID-19 pneumonia
- Author
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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, Radiology & Nuclear Medicine, and Pediatrics
- Subjects
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 - Abstract
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.
- Published
- 2022