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Performance of radiologists in differentiating COVID-19 from viral pneumonia on chest CT
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 o...
Autores principales: | , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Radiological Society of North America
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7233414/ https://www.ncbi.nlm.nih.gov/pubmed/32155105 http://dx.doi.org/10.1148/radiol.2020200823 |
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author | Bai, Harrison X. Hsieh, Ben Xiong, Zeng Halsey, Kasey Choi, Ji Whae Tran, Thi My Linh Pan, Ian Shi, Lin-Bo Wang, Dong-Cui Mei, Ji Jiang, Xiao-Long Zeng, Qiu-Hua Egglin, Thomas K. Hu, Ping-Feng Agarwal, Saurabh Xie, Fangfang Li, Sha Healey, Terrance Atalay, Michael K. Liao, Wei-Hua |
author_facet | Bai, Harrison X. Hsieh, Ben Xiong, Zeng Halsey, Kasey Choi, Ji Whae Tran, Thi My Linh Pan, Ian Shi, Lin-Bo Wang, Dong-Cui Mei, Ji Jiang, Xiao-Long Zeng, Qiu-Hua Egglin, Thomas K. Hu, Ping-Feng Agarwal, Saurabh Xie, Fangfang Li, Sha Healey, Terrance Atalay, Michael K. Liao, Wei-Hua |
author_sort | Bai, Harrison X. |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-7233414 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Radiological Society of North America |
record_format | MEDLINE/PubMed |
spelling | pubmed-72334142020-06-02 Performance of radiologists in differentiating COVID-19 from viral pneumonia on chest CT Bai, Harrison X. Hsieh, Ben Xiong, Zeng Halsey, Kasey Choi, Ji Whae Tran, Thi My Linh Pan, Ian Shi, Lin-Bo Wang, Dong-Cui Mei, Ji Jiang, Xiao-Long Zeng, Qiu-Hua Egglin, Thomas K. Hu, Ping-Feng Agarwal, Saurabh Xie, Fangfang Li, Sha Healey, Terrance Atalay, Michael K. Liao, Wei-Hua Radiology Original Research 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. Radiological Society of North America 2020-03-10 /pmc/articles/PMC7233414/ /pubmed/32155105 http://dx.doi.org/10.1148/radiol.2020200823 Text en 2020 by the Radiological Society of North America, Inc. This article is made available via the PMC Open Access Subset for unrestricted re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the COVID-19 pandemic or until permissions are revoked in writing. Upon expiration of these permissions, PMC is granted a perpetual license to make this article available via PMC and Europe PMC, consistent with existing copyright protections. |
spellingShingle | Original Research Bai, Harrison X. Hsieh, Ben Xiong, Zeng Halsey, Kasey Choi, Ji Whae Tran, Thi My Linh Pan, Ian Shi, Lin-Bo Wang, Dong-Cui Mei, Ji Jiang, Xiao-Long Zeng, Qiu-Hua Egglin, Thomas K. Hu, Ping-Feng Agarwal, Saurabh Xie, Fangfang Li, Sha Healey, Terrance Atalay, Michael K. Liao, Wei-Hua Performance of radiologists in differentiating COVID-19 from viral pneumonia on chest CT |
title | Performance of radiologists in differentiating COVID-19 from viral pneumonia on chest CT |
title_full | Performance of radiologists in differentiating COVID-19 from viral pneumonia on chest CT |
title_fullStr | Performance of radiologists in differentiating COVID-19 from viral pneumonia on chest CT |
title_full_unstemmed | Performance of radiologists in differentiating COVID-19 from viral pneumonia on chest CT |
title_short | Performance of radiologists in differentiating COVID-19 from viral pneumonia on chest CT |
title_sort | performance of radiologists in differentiating covid-19 from viral pneumonia on chest ct |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7233414/ https://www.ncbi.nlm.nih.gov/pubmed/32155105 http://dx.doi.org/10.1148/radiol.2020200823 |
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