About: Lung Ultrasound in COVID-19 Pneumonia: Correlations with Chest CT on Hospital admission

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About: Lung Ultrasound in COVID-19 Pneumonia: Correlations with Chest CT on Hospital admission Goto Sponge NotDistinct Permalink

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

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type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	Lung Ultrasound in COVID-19 Pneumonia: Correlations with Chest CT on Hospital admission
Creator	Bignami, Elena Sverzellati, Nicola Baciarello, Marco Meschi, Tiziana Milanese, Gianluca Nouvenne, Antonio Odone, Anna Parise, Alberto Ticinesi, Andrea Davìd Zani, Marco
Source	Medline; PMC
abstract	BACKGROUND: Lung ultrasound (LUS) is an accurate, safe, and cheap tool assisting in the diagnosis of several acute respiratory diseases. The diagnostic value of LUS in the workup of coronavirus disease-19 (COVID-19) in the hospital setting is still uncertain. OBJECTIVES: The aim of this observational study was to explore correlations of the LUS appearance of COVID-19-related pneumonia with CT findings. METHODS: Twenty-six patients (14 males, age 64 ± 16 years) urgently hospitalized for COVID-19 pneumonia, who underwent chest CT and bedside LUS on the day of admission, were enrolled in this observational study. CT images were reviewed by expert chest radiologists, who calculated a visual CT score based on extension and distribution of ground-glass opacities and consolidations. LUS was performed by clinicians with certified competency in thoracic ultrasonography, blind to CT findings, following a systematic approach recommended by ultrasound guidelines. LUS score was calculated according to presence, distribution, and severity of abnormalities. RESULTS: All participants had CT findings suggestive of bilateral COVID-19 pneumonia, with an average visual scoring of 43 ± 24%. LUS identified 4 different possible abnormalities, with bilateral distribution (average LUS score 15 ± 5): focal areas of nonconfluent B lines, diffuse confluent B lines, small subpleural microconsolidations with pleural line irregularities, and large parenchymal consolidations with air bronchograms. LUS score was significantly correlated with CT visual scoring (r = 0.65, p < 0.001) and oxygen saturation in room air (r = −0.66, p < 0.001). CONCLUSION: When integrated with clinical data, LUS could represent a valid diagnostic aid in patients with suspect COVID-19 pneumonia, which reflects CT findings.
has issue date	2020-06-22(xsd:dateTime)
bibo:doi	10.1159/000509223
bibo:pmid	32570265
has license	no-cc
sha1sum (hex)	0c5072f2ababf7a3c786b08b254fc4f1f8d3936c
schema:url	https://doi.org/10.1159/000509223
resource representing a document's title	Lung Ultrasound in COVID-19 Pneumonia: Correlations with Chest CT on Hospital admission
has PubMed Central identifier	PMC7360505
has PubMed identifier	32570265
schema:publication	Respiration
resource representing a document's body	covid:0c5072f2ababf7a3c786b08b254fc4f1f8d3936c#body_text
is schema:about of	named entity 'pneumonia' named entity 'scoring' named entity 'consolidations' named entity 'blind' named entity 'coronavirus' named entity 'observational study' named entity 'ultrasound' named entity 'ultrasound' named entity 'Lung' named entity 'distribution' named entity 'consolidations' named entity 'Lung' named entity 'setting' named entity 'scoring' named entity 'performed' named entity 'focal' named entity 'irregularities' named entity 'hospital' named entity 'pneumonia' named entity 'visual' named entity 'suspect' named entity 'aid' named entity 'clinicians' named entity 'certified' named entity 'ultrasound' named entity 'visual' named entity 'identified' named entity 'aim' named entity 'lines' named entity 'Correlations' named entity 'chest CT' named entity 'pneumonia' named entity 'COVID-19' named entity 'subpleural' named entity 'coronavirus disease' named entity 'COVID-19' named entity 'COVID-19' named entity 'Point-of-care' named entity 'Interventional Pulmonology' named entity 'thoracic' named entity 'bilateral' named entity 'based' named entity 'expert' named entity 'subpleural' named entity 'subpleural' named entity 'pneumonia' named entity 'false-positive' named entity 'COVID' named entity 'craniocaudal' named entity 'prognostic' named entity 'COVID' named entity 'Italy' named entity 'subpleural' named entity 'SARS-CoV-2' named entity 'high-resolution CT' named entity 'COVID-19 outbreak' named entity 'diagnostic tool' named entity 'subpleural' named entity 'statistically significant' named entity 'intercostal space' named entity 'pleural' named entity 'pneumonia' named entity 'algorithm' named entity 'COVID' named entity 'pleural line' named entity 'lungs' named entity 'GGO' named entity 'oxygen saturation' named entity 'chest CT' named entity 'COVID' named entity 'respiratory diseases' named entity 'pleural line'

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