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Analysis of 4 imaging features in patients with COVID-19

Authors :
Jun Jin
De-hong Gao
Xin Mo
Si-ping Tan
Zhen-xia Kou
Yi-bo Chen
Jin-bo Cao
Wen-jing Chen
Ya-ming Zhang
Bing-qing Li
Kuan-long Huang
Bing-ren Xu
Xiao-li Tang
Yu-li Wang
Source :
BMC Medical Imaging, Vol 20, Iss 1, Pp 1-7 (2020)
Publication Year :
2020
Publisher :
BMC, 2020.

Abstract

Abstract Background The aim of this was to analyze 4 chest CT imaging features of patients with coronavirus disease 2019 (COVID-19) in Shenzhen, China so as to improve the diagnosis of COVID-19. Methods Chest CT of 34 patients with COVID-19 confirmed by the nucleic acid test (NAT) were retrospectively analyzed. Analyses were performed to investigate the pathological basis of four imaging features(“feather sign”,“dandelion sign”,“pomegranate sign”, and “rime sign”) and to summarize the follow-up results. Results There were 22 patients (65.2%) with typical “feather sign”and 18 (52.9%) with “dandelion sign”, while few patients had “pomegranate sign” and “rime sign”. The “feather sign” and “dandelion sign” were composed of stripe or round ground-glass opacity (GGO), thickened blood vessels, and small-thickened interlobular septa. The “pomegranate sign” was characterized as follows: the increased range of GGO, the significant thickening of the interlobular septum, complicated with a small amount of punctate alveolar hemorrhage. The “rime sign” was characterized by numerous alveolar edemas. Microscopically, the wall thickening, small vascular proliferation, luminal stenosis, and occlusion, accompanied by interstitial infiltration of inflammatory cells, as well as numerous pulmonary interstitial fibrosis and partial hyaline degeneration were observed. Repeated chest CT revealed the mediastinal lymphadenectasis in one patient. Re-examination of the NAT showed another positive anal swab in two patients. Conclusion “Feather sign” and “dandelion sign” were typical chest CT features in patients withCOVID-19; “pomegranate sign” was an atypical feature, and “rime sign” was a severe feature. In clinical work, accurate identification of various chest CT signs can help to improve the diagnostic accuracy of COVID-19 and reduce the misdiagnosis or missed diagnosis rate.

Details

Language :
English
ISSN :
14712342
Volume :
20
Issue :
1
Database :
Directory of Open Access Journals
Journal :
BMC Medical Imaging
Publication Type :
Academic Journal
Accession number :
edsdoj.4c9c0fcdc7044c19d77231939417971
Document Type :
article
Full Text :
https://doi.org/10.1186/s12880-020-00484-1