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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...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Radiological Society of North America 2020
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.
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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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