Differentiation of Chest CT Findings Between Influenza Pneumonia and COVID-19: Interobserver Agreement Between Radiologists.


Journal

Academic radiology
ISSN: 1878-4046
Titre abrégé: Acad Radiol
Pays: United States
ID NLM: 9440159

Informations de publication

Date de publication:
10 2021
Historique:
received: 26 02 2021
revised: 20 04 2021
accepted: 26 04 2021
pubmed: 25 5 2021
medline: 30 9 2021
entrez: 24 5 2021
Statut: ppublish

Résumé

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. 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. 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%, p = 0.032), subpleural sparing (69.0% vs. 7.7%, p <0.001) and subpleural band (50.0% vs. 20.5%, p = 0.006), but less likely to have pleural effusion (4.8% vs. 33.3%, p = 0.001). The agreement rate between the 3 radiologists was 65.8%. 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.

Identifiants

pubmed: 34024714
pii: S1076-6332(21)00200-2
doi: 10.1016/j.acra.2021.04.010
pmc: PMC8112282
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1331-1338

Informations de copyright

Copyright © 2021 The Association of University Radiologists. Published by Elsevier Inc. All rights reserved.

Auteurs

Fariba Zarei (F)

Department of Radiology, Medical Imaging Research Center, Shiraz University of Medical Sciences, Shiraz, Iran.

Reza Jalli (R)

Department of Radiology, Medical Imaging Research Center, Shiraz University of Medical Sciences, Shiraz, Iran.

Pooya Iranpour (P)

Department of Radiology, Medical Imaging Research Center, Shiraz University of Medical Sciences, Shiraz, Iran.

Sepideh Sefidbakht (S)

Department of Radiology, Medical Imaging Research Center, Shiraz University of Medical Sciences, Shiraz, Iran.

Sahar Soltanabadi (S)

Student Research Committee, Shiraz University of Medical Sciences, Shiraz, Iran.

Maryam Rezaee (M)

Dermatology Department, Molecular Dermatology Research Center, Shiraz University of Medical Sciences, Shiraz, Iran.

Reza Jahankhah (R)

Department of Radiology, Medical Imaging Research Center, Shiraz University of Medical Sciences, Shiraz, Iran. Electronic address: jahankhah@sums.ac.ir.

Alireza Manafi (A)

Student Research Committee, Shiraz University of Medical Sciences, Shiraz, Iran.

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Classifications MeSH