Unknown

Dataset Information

0

Chest radiography findings of COVID-19 pneumonia: a specific pattern for a confident differential diagnosis.


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.

SUBMITTER: Landini N 

PROVIDER: S-EPMC9659507 | biostudies-literature | 2022 Dec

REPOSITORIES: biostudies-literature

altmetric image

Publications

Chest radiography findings of COVID-19 pneumonia: a specific pattern for a confident differential diagnosis.

Landini Nicholas N   Colzani Giulia G   Ciet Pierluigi P   Tessarin Giovanni G   Dorigo Alberto A   Bertana Luca L   Felice Carla C   Scaldaferri Luca L   Orlandi Martina M   Nardi Cosimo C   Romagnoli Micaela M   Saba Luca L   Rigoli Roberto R   Morana Giovanni G  

Acta radiologica (Stockholm, Sweden : 1987) 20211113 12


<h4>Background</h4>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.<h4>Purpose</h4>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.<h4>Material and methods</h4>CR of COVID-19 and non-COVID-19 pulmonary diseas  ...[more]

Similar Datasets

| S-EPMC7738074 | biostudies-literature
| S-EPMC7841876 | biostudies-literature
| S-EPMC11772474 | biostudies-literature
| S-EPMC10873478 | biostudies-literature
| S-EPMC10482646 | biostudies-literature
| S-EPMC7934290 | biostudies-literature
| S-EPMC7465292 | biostudies-literature
| S-EPMC7315402 | biostudies-literature
| S-EPMC10215490 | biostudies-literature