Differentiation of Chest CT Findings Between Influenza Pneumonia and COVID-19: Interobserver Agreement Between Radiologists.
Acad Radiol
; 28(10): 1331-1338, 2021 10.
Article
in English
| MEDLINE | ID: covidwho-1225101
ABSTRACT
OBJECTIVES:
To investigate the chest CT and clinical characteristics of COVID-19 pneumonia and H1N1 influenza, and explore the radiologist diagnosis differences between COVID-19 and influenza. MATERIALS ANDMETHODS:
This cross-sectional study included a total of 43 COVID-19-confirmed patients (24 men and 19 women, 49.90 ± 18.70 years) and 41 influenza-confirmed patients (17 men and 24 women, 61.53 ± 19.50 years). Afterwards, the chest CT findings were recorded and 3 radiologists recorded their diagnoses of COVID-19 or of H1N1 influenza based on the CT findings.RESULTS:
The most frequent clinical symptom in patients with COVID-19 and H1N1 pneumonia were dyspnea (96.6%) and cough (62.5%), respectively. The CT findings showed that the COVID-19 group was characterized by GGO (88.1%), while the influenza group had features such as GGO (68.4%) and consolidation (66.7%). Compared to the influenza group, the COVID-19 group was more likely to have GGO (88.1% vs. 68.4%, pâ¯=â¯0.032), subpleural sparing (69.0% vs. 7.7%, p <0.001) and subpleural band (50.0% vs. 20.5%, pâ¯=â¯0.006), but less likely to have pleural effusion (4.8% vs. 33.3%, pâ¯=â¯0.001). The agreement rate between the 3 radiologists was 65.8%.CONCLUSION:
Considering similarities of respiratory infections especially H1N1 and COVID-19, it is essential to introduce some clinical and para clinical modalities to help differentiating them. In our study we extracted some lung CT scan findings from patients suspected to COVID-19 as a newly diagnosed infection comparing with influenza pneumonia patients.Keywords
Full text:
Available
Collection:
International databases
Database:
MEDLINE
Main subject:
Influenza, Human
/
Influenza A Virus, H1N1 Subtype
/
COVID-19
Type of study:
Observational study
/
Prognostic study
/
Randomized controlled trials
Limits:
Female
/
Humans
/
Male
Language:
English
Journal:
Acad Radiol
Journal subject:
Radiology
Year:
2021
Document Type:
Article
Affiliation country:
J.acra.2021.04.010
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