About: COVID-19 pneumonia: CT findings of 122 patients and differentiation from influenza pneumonia

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About: COVID-19 pneumonia: CT findings of 122 patients and differentiation from influenza pneumonia Goto Sponge NotDistinct Permalink

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Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
title	COVID-19 pneumonia: CT findings of 122 patients and differentiation from influenza pneumonia
Creator	Xiao, Kaihu Liu, Mengqi Lv, Fajin Wen, Yun Zeng, Wenbin Zheng, Yineng
source	Medline; PMC
abstract	OBJECTIVES: To investigate the clinical and chest CT characteristics of COVID-19 pneumonia and explore the radiological differences between COVID-19 and influenza. MATERIALS AND METHODS: A total of 122 patients (61 men and 61 women, 48 ± 15 years) confirmed with COVID-19 and 48 patients (23 men and 25 women, 47 ± 19 years) confirmed with influenza were enrolled in the study. Thin-section CT was performed. The clinical data and the chest CT findings were recorded. RESULTS: The most common symptoms of COVID-19 were fever (74%) and cough (63%), and 102 patients (83%) had Wuhan contact. Pneumonia in 50 patients with COVID-19 (45%) distributed in the peripheral regions of the lung, while it showed mixed distribution in 26 patients (74%) with influenza (p = 0.022). The most common CT features of the COVID-19 group were pure ground-glass opacities (GGO, 36%), GGO with consolidation (51%), rounded opacities (35%), linear opacities (64%), bronchiolar wall thickening (49%), and interlobular septal thickening (66%). Compared with the influenza group, the COVID-19 group was more likely to have rounded opacities (35% vs. 17%, p = 0.048) and interlobular septal thickening (66% vs. 43%, p = 0.014), but less likely to have nodules (28% vs. 71%, p < 0.001), tree-in-bud sign (9% vs. 40%, p < 0.001), and pleural effusion (6% vs. 31%, p < 0.001). CONCLUSIONS: There are significant differences in the CT manifestations of patients with COVID-19 and influenza. Presence of rounded opacities and interlobular septal thickening, with the absence of nodules and tree-in-bud sign, and with the typical peripheral distribution, may help us differentiate COVID-19 from influenza. KEY POINTS: • Typical CT features of COVID-19 include pure ground-glass opacities (GGO), GGO with consolidation, rounded opacities, bronchiolar wall thickening, interlobular septal thickening, and a peripheral distribution. • Presence of rounded opacities and interlobular septal thickening, with the absence of nodules and tree-in-bud sign, and with the typical peripheral distribution, may help us differentiate COVID-19 from influenza.
has issue date	2020-05-12(xsd:dateTime)
bibo:doi	10.1007/s00330-020-06928-0
bibo:pmid	32399710
has license	no-cc
sha1sum (hex)	f86d7b7efeaa0d113a9b0cfe8908ea625239ed67
schema:url	https://doi.org/10.1007/s00330-020-06928-0
resource representing a document's title	COVID-19 pneumonia: CT findings of 122 patients and differentiation from influenza pneumonia
has PubMed Central identifier	PMC7216854
has PubMed identifier	32399710
schema:publication	Eur Radiol
resource representing a document's body	covid:f86d7b7efeaa0d113a9b0cfe8908ea625239ed67#body_text
is schema:about of	named entity 'thickening' named entity 'cough' named entity 'confirmed' named entity 'regions' named entity 'pneumonia' named entity 'peripheral' named entity 'COVID-19' named entity 'THICKENING' named entity 'BRONCHIOLAR WALL' named entity 'TYPICAL' named entity 'RECORDED' named entity 'data' named entity 'interlobular' named entity 'Results' named entity 'nodules' named entity 'influenza' named entity 'opacities' named entity 'patients' named entity 'men' named entity 'nodules' named entity 'COVID-19' named entity 'septal' named entity 'radiological' named entity 'wall' named entity 'manifestations' named entity 'Materials' named entity 'COVID-19' named entity 'COVID-19' named entity 'COVID-19' named entity 'fever' named entity 'GGO' named entity 'COVID-19' named entity 'Pneumonia' named entity 'COVID-19' named entity 'COVID' named entity 'COVID' named entity 'COVID' named entity 'fibrosis' named entity 'COVID-19' named entity 'pulmonary embolism' named entity 'cavitation' named entity 'Siemens' named entity 'influenza' named entity 'early diagnosis' named entity 'CT scans' named entity 'volume CT' named entity 'Hantavirus' named entity 'COVID-19' named entity 'COVID-19' named entity 'influenza' named entity 'COVID' named entity 'differential diagnosis' named entity 'false negative' named entity 'chest CT' named entity 'viral pneumonia' named entity 'pneumonia' named entity 'coronavirus infection' named entity 'COVID-19' named entity 'ground-glass opacity' named entity 'chest CT' named entity 'influenza' named entity 'COVID' named entity 'COVID' named entity 'COVID' named entity 'pneumonia' named entity 'bronchiolar' named entity 'respiratory failure' named entity 'chest CT' named entity 'GGO' named entity 'pneumonia' named entity 'chest CT' named entity 'Radiation dose' named entity 'pneumonia' named entity 'RT-PCR' named entity 'halo sign' named entity 'GGO'

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