Covid-19 imaging: A narrative review.
COVID-19
Chest
Computed tomography (CT)
Imaging
Novel coronavirus
Sars-Cov2
Journal
Annals of medicine and surgery (2012)
ISSN: 2049-0801
Titre abrégé: Ann Med Surg (Lond)
Pays: England
ID NLM: 101616869
Informations de publication
Date de publication:
Sep 2021
Sep 2021
Historique:
received:
20
04
2021
revised:
31
05
2021
accepted:
05
06
2021
pubmed:
29
6
2021
medline:
29
6
2021
entrez:
28
6
2021
Statut:
ppublish
Résumé
The 2019 novel coronavirus disease (COVID-19) imaging data is dispersed in numerous publications. A cohesive literature review is to be assembled. To summarize the existing literature on Covid-19 pneumonia imaging including precautionary measures for radiology departments, Chest CT's role in diagnosis and management, imaging findings of Covid-19 patients including children and pregnant women, artificial intelligence applications and practical recommendations. A systematic literature search of PubMed/med line electronic databases. The radiology department's staff is on the front line of the novel coronavirus outbreak. Strict adherence to precautionary measures is the main defense against infection's spread. Although nucleic acid testing is Covid-19's pneumonia diagnosis gold standard; kits shortage and low sensitivity led to the implementation of the highly sensitive chest computed tomography amidst initial diagnostic tools. Initial Covid-19 CT features comprise bilateral, peripheral or posterior, multilobar ground-glass opacities, predominantly in the lower lobes. Consolidations superimposed on ground-glass opacifications are found in few cases, preponderantly in the elderly. In later disease stages, GGO transformation into multifocal consolidations, thickened interlobular and intralobular lines, crazy paving, traction bronchiectasis, pleural thickening, and subpleural bands are reported. Standardized CT reporting is recommended to guide radiologists. While lung ultrasound, pulmonary MRI, and PET CT are not Covid-19 pneumonia's first-line investigative diagnostic modalities, their characteristic findings and clinical value are outlined. Artificial intelligence's role in strengthening available imaging tools is discussed. This review offers an exhaustive analysis of the current literature on imaging role and findings in COVID-19 pneumonia.
Sections du résumé
BACKGROUND
BACKGROUND
The 2019 novel coronavirus disease (COVID-19) imaging data is dispersed in numerous publications. A cohesive literature review is to be assembled.
OBJECTIVE
OBJECTIVE
To summarize the existing literature on Covid-19 pneumonia imaging including precautionary measures for radiology departments, Chest CT's role in diagnosis and management, imaging findings of Covid-19 patients including children and pregnant women, artificial intelligence applications and practical recommendations.
METHODS
METHODS
A systematic literature search of PubMed/med line electronic databases.
RESULTS
RESULTS
The radiology department's staff is on the front line of the novel coronavirus outbreak. Strict adherence to precautionary measures is the main defense against infection's spread. Although nucleic acid testing is Covid-19's pneumonia diagnosis gold standard; kits shortage and low sensitivity led to the implementation of the highly sensitive chest computed tomography amidst initial diagnostic tools. Initial Covid-19 CT features comprise bilateral, peripheral or posterior, multilobar ground-glass opacities, predominantly in the lower lobes. Consolidations superimposed on ground-glass opacifications are found in few cases, preponderantly in the elderly. In later disease stages, GGO transformation into multifocal consolidations, thickened interlobular and intralobular lines, crazy paving, traction bronchiectasis, pleural thickening, and subpleural bands are reported. Standardized CT reporting is recommended to guide radiologists. While lung ultrasound, pulmonary MRI, and PET CT are not Covid-19 pneumonia's first-line investigative diagnostic modalities, their characteristic findings and clinical value are outlined. Artificial intelligence's role in strengthening available imaging tools is discussed.
CONCLUSION
CONCLUSIONS
This review offers an exhaustive analysis of the current literature on imaging role and findings in COVID-19 pneumonia.
Identifiants
pubmed: 34178312
doi: 10.1016/j.amsu.2021.102489
pii: S2049-0801(21)00439-8
pmc: PMC8214462
doi:
Types de publication
Journal Article
Review
Langues
eng
Pagination
102489Informations de copyright
© 2021 The Authors.
Déclaration de conflit d'intérêts
Authors have no conflicts of interest. No funding was received.
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