About: CT chest of COVID-19 patients: what should a radiologist know?

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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	CT chest of COVID-19 patients: what should a radiologist know?
Creator	Ali, Tamer Tawab, Mohamed Elhariri, Mona
source	PMC
abstract	BACKGROUND: The aim of current work is to review the CT findings of COVID-19 in a pictorial study to help the radiologists to be familiar to imaging findings of COVID-19. MAIN BODY: Coronavirus disease 2019 (COVID-19) is a pandemic highly infectious disease which is first reported in December 2019 in Wuhan, China, and then had its outbreak leads to a global public health emergency. Real-time reverse transcription polymerase chain reaction (RT-PCR) of viral nucleic acid is considered as the reference standard for COVID-19 diagnosis; however, recent studies showed the importance of CT chest in the diagnosis of COVID-19 with high sensitivity. The CT hallmarks of COVID-19 were bilateral peripheral ground-glass opacities, consolidation with the advance of the disease more consolidation is there with linear opacities and crazy-paving pattern as well as halo and reverse halo sign. CONCLUSION: Early identification of COVID-19 cases is vital. The radiologist should be familiar with the possible findings. Further future studies with pathological correlation will help for more understanding of the imaging findings and its value in assessing of prognosis.
has issue date	2020-07-07(xsd:dateTime)
bibo:doi	10.1186/s43055-020-00245-8
has license	cc-by
sha1sum (hex)	425ade5aa8f55c136075251aff1c81f6f85f799d
schema:url	https://doi.org/10.1186/s43055-020-00245-8
resource representing a document's title	CT chest of COVID-19 patients: what should a radiologist know?
has PubMed Central identifier	PMC7339797
schema:publication	Egypt J Radiol Nucl Med
resource representing a document's body	covid:425ade5aa8f55c136075251aff1c81f6f85f799d#body_text
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