About: Atypical Computed Tomography Presentations of Coronavirus Disease 2019

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An Entity of Type : schema:ScholarlyArticle, within Data Space : covidontheweb.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
title	Atypical Computed Tomography Presentations of Coronavirus Disease 2019
Creator	Zhang, Liang Du, Wei Yang, Bin Zhao, Yue Duan, Wenshuai Liu, Xiaolong Liu, Duan Binyang, Du, Yunjun Liu, Yiyang
source	Elsevier; Medline; PMC
abstract	Abstract Objective This study aimed to investigate the atypical computed tomography (CT) presentations of coronavirus disease 2019 (COVID-19) patients to comprehensively understand this highly infectious disease. Methods The clinical and chest CT imaging data of 16 patients diagnosed with COVID-19 were retrospectively analyzed, and patients with atypical CT presentations were selected for analysis and review. Results Of the 16 patients, 6 had atypical CT presentations, including 2 with faint ground glass opacities, 2 with single nodule, 1 with predominantly linear opacities, and 1 with predominantly reticular opacities. The dynamic changes of CT showed the faint ground glass opacities gradually became weak (2 cases). The scope of the single nodule was enlarged, and it developed into consolidation and residual fibrosis (2 cases). There was no obvious change of linear opacity (1 case). The reticular opacities were enlarged, then partially absorbed and new developed ground-glass opacities were found. Finally, the lesions were absorbed with residual fibrosis (1 case). Conclusion Atypical CT presentations of COVID-19 can be classified as faint ground glass opacities, single nodule, linear opacities, and reticular opacities. Understanding the atypical presentation of COVID-19 is beneficial in the assessment and epidemic prevention and control of this disease.
has issue date	2020-08-07(xsd:dateTime)
bibo:doi	10.1016/j.jrid.2020.07.006
bibo:pmid	32838009
has license	els-covid
sha1sum (hex)	c914b8a858f9143c9bfe0bad0eb198a1a6b67dcd
schema:url	https://doi.org/10.1016/j.jrid.2020.07.006
resource representing a document's title	Atypical Computed Tomography Presentations of Coronavirus Disease 2019
has PubMed Central identifier	PMC7413155
has PubMed identifier	32838009
schema:publication	Radiol Infect Dis
resource representing a document's body	covid:c914b8a858f9143c9bfe0bad0eb198a1a6b67dcd#body_text
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