About: Performance of radiologists in differentiating COVID-19 from viral pneumonia on chest CT

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About: Performance of radiologists in differentiating COVID-19 from viral pneumonia on chest CT Goto Sponge NotDistinct Permalink

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
has title	Performance of radiologists in differentiating COVID-19 from viral pneumonia on chest CT
Creator	Agarwal, Saurabh Halsey, Kasey Healey, Terrance Hsieh, Ben Hu, Ping-Feng Jiang, Xiao-Long Li, Sha Liao, Wei-Hua Mei, Ji Pan, Ian Shi, Lin-Bo Wang, Dong-Cui Xie, Fangfang Xiong, Zeng Zeng, Qiu-Hua Tran, My Atalay, Michael Bai, Harrison Choi, Whae Egglin, Thomas Ji, B Thi, B
Source	Medline; PMC
abstract	BACKGROUND: Despite its high sensitivity in diagnosing COVID-19 in a screening population, chest CT appearances of COVID 19 pneumonia are thought to be non-specific. PURPOSE: To assess the performance of United States (U.S.) and Chinese radiologists in differentiating COVID-19 from viral pneumonia on chest CT. METHODS: A total of 219 patients with both positive COVID-19 by RT-PCR and abnormal chest CT findings were retrospectively identified from 7 Chinese hospitals in Hunan Providence, China from January 6 to February 20, 2020. A total of 205 patients with positive Respiratory Pathogen Panel for viral pneumonia and CT findings consistent with or highly suspicious for pneumonia by original radiology interpretation within 7 days of each other were identified from Rhode Island Hospital in Providence, RI. Three Chinese radiologists blindly reviewed all chest CTs (n=424) to differentiate COVID-19 from viral pneumonia. A sample of 58 age-matched cases was randomly selected and evaluated by 4 U.S. radiologists in a similar fashion. Different CT features were recorded and compared between the two groups. RESULTS: For all chest CTs, three Chinese radiologists correctly differentiated COVID-19 from non-COVID-19 pneumonia 83% (350/424), 80% (338/424), and 60% (255/424) of the time, respectively. The seven radiologists had sensitivities of 80%, 67%, 97%, 93%, 83%, 73% and 70% and specificities of 100%, 93%, 7%, 100%, 93%, 93%, 100%. Compared to non-COVID-19 pneumonia, COVID-19 pneumonia was more likely to have a peripheral distribution (80% vs. 57%, p<0.001), ground-glass opacity (91% vs. 68%, p<0.001), fine reticular opacity (56% vs. 22%, p<0.001), and vascular thickening (59% vs. 22%, p<0.001), but less likely to have a central+peripheral distribution (14.% vs. 35%, p<0.001), pleural effusion (4.1 vs. 39%, p<0.001) and lymphadenopathy (2.7% vs. 10.2%, p<0.001). CONCLUSION: Radiologists in China and the United States distinguished COVID-19 from viral pneumonia on chest CT with high specificity but moderate sensitivity. A translation of this abstract in Farsi is available in the supplement. - ترجمه چکیده این مقاله به فارسی، در ضمیمه موجود است.
has issue date	2020-03-10(xsd:dateTime)
bibo:doi	10.1148/radiol.2020200823
bibo:pmid	32155105
has license	no-cc
sha1sum (hex)	38bc5123323030d9e72f3433590fc879249744e1
schema:url	https://doi.org/10.1148/radiol.2020200823
resource representing a document's title	Performance of radiologists in differentiating COVID-19 from viral pneumonia on chest CT
has PubMed Central identifier	PMC7233414
has PubMed identifier	32155105
schema:publication	Radiology
resource representing a document's body	covid:38bc5123323030d9e72f3433590fc879249744e1#body_text
is schema:about of	named entity 'viral pneumonia' named entity 'differentiating' named entity 'CTs' named entity 'specificities' named entity 'printed' named entity 'peripheral' named entity 'contact' named entity 'original' named entity 'Panel' named entity 'Key' named entity 'performance' named entity 'radiologists' named entity 'Four' named entity 'radiologists' named entity 'reticular' named entity 'consistent' named entity 'discriminating' named entity 'radiologists' named entity 'CHEST' named entity '60%' named entity 'FINDINGS' named entity 'PAGE' named entity 'specificities' named entity 'screening' named entity 'vascular' named entity 'Methods' named entity 'ground-glass opacity' named entity 'viral pneumonia' named entity 'total' named entity 'copies' named entity 'U.S.' named entity 'peripheral' named entity 'Radiologists' named entity 'Respiratory' named entity 'CTs' named entity 'United States' named entity 'Summary' named entity 'distribution' named entity 'sample' named entity 'pneumonia' named entity 'opacity' named entity 'thickening' named entity 'Three' named entity 'Three' named entity 'Pathogen' named entity 'chest' named entity 'United States' named entity 'COVID-19' named entity 'chest CT' named entity 'chest CT' named entity 'COVID-19' named entity 'COVID-19' named entity 'COVID-19' named entity 'radiologists' named entity 'viral pneumonia' named entity 'United States' named entity 'Hunan' named entity 'pneumonia' named entity 'lymphadenopathy' named entity 'COVID-19'

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