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      Extension of Coronavirus Disease 2019 (COVID-19) on Chest CT and Implications for Chest Radiograph Interpretation

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          Abstract

          Purpose

          To study the extent of pulmonary involvement in COVID-19 with quantitative CT (QCT) and to assess the impact of disease burden on opacity visibility on chest radiographs.

          Materials and Methods

          This retrospective study included 20 pairs of CT scans and same-day chest radiographs from 17 patients with COVID-19, along with 20 chest radiographs of controls. All pulmonary opacities were semi-automatically segmented on CT images, producing an anteroposterior projection image to match the corresponding frontal chest radiograph. The lung opacification mass (QCTmass) was defined as [(opacity attenuation value+1000 HU)/1000]*1.065(g/mL) * combined volume (cm 3) of the individual opacities. Eight thoracic radiologists reviewed the 40 radiographs, and a receiver operating characteristics curve analysis was performed for the detection of lung opacities. Logistic regression analysis was done to identify factors affecting opacity visibility on chest radiographs.

          Results

          The mean QCTmass per patient was 72.4±120.8 g (range, 0.7-420.7), and opacities occupied 3.2±5.8% (range, 0.1-19.8) and 13.9±18.0% (range, 0.5-57.8) of the lung area on the CT images and projected images, respectively. The radiographs had a median sensitivity of 25% and specificity of 90% among radiologists. Nineteen of 186 opacities were visible on chest radiographs, and a median area of 55.8% of the projected images was identifiable on radiographs. Logistic regression analysis showed that QCTmass (p<0.001) and combined opacity volume (p<0.001) significantly affected opacity visibility on radiographs.

          Conclusion

          QCTmass varied among COVID-19 patients. Chest radiographs had high specificity for detecting lung opacities in COVID-19, but a low sensitivity. QCTmass and combined opacity volume were significant determinants of opacity visibility on radiographs.

          An earlier incorrect version appeared online. This article was corrected on April 6, 2020.

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          Most cited references9

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          A Novel Coronavirus from Patients with Pneumonia in China, 2019

          Summary In December 2019, a cluster of patients with pneumonia of unknown cause was linked to a seafood wholesale market in Wuhan, China. A previously unknown betacoronavirus was discovered through the use of unbiased sequencing in samples from patients with pneumonia. Human airway epithelial cells were used to isolate a novel coronavirus, named 2019-nCoV, which formed a clade within the subgenus sarbecovirus, Orthocoronavirinae subfamily. Different from both MERS-CoV and SARS-CoV, 2019-nCoV is the seventh member of the family of coronaviruses that infect humans. Enhanced surveillance and further investigation are ongoing. (Funded by the National Key Research and Development Program of China and the National Major Project for Control and Prevention of Infectious Disease in China.)
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            CT Imaging Features of 2019 Novel Coronavirus (2019-nCoV)

            In this retrospective case series, chest CT scans of 21 symptomatic patients from China infected with the 2019 novel coronavirus (2019-nCoV) were reviewed, with emphasis on identifying and characterizing the most common findings. Typical CT findings included bilateral pulmonary parenchymal ground-glass and consolidative pulmonary opacities, sometimes with a rounded morphology and a peripheral lung distribution. Notably, lung cavitation, discrete pulmonary nodules, pleural effusions, and lymphadenopathy were absent. Follow-up imaging in a subset of patients during the study time window often demonstrated mild or moderate progression of disease, as manifested by increasing extent and density of lung opacities. © RSNA, 2020
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              Coronavirus Infections—More Than Just the Common Cold

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                Author and article information

                Contributors
                Journal
                Radiol Cardiothorac Imaging
                Radiol Cardiothorac Imaging
                cardiothoracic
                Radiology. Cardiothoracic Imaging
                Radiological Society of North America
                2638-6135
                30 March 2020
                : 2
                : 2
                : e200107
                Affiliations
                [1]Department of Radiology, Seoul National College of Medicine, Seoul National University Hospital, Seoul, Korea(H.C., S.H.Y., S.J.P., C.M.P., J.H.H., H.K., E.J.H., S.J.Y., J.G.N., C.H.L., J.M.G.); CHESS Center, The First Hospital of Lanzhou University, Lanzhou, China(X.Q., J.L.); Department of Radiology, Seoul National University Bundang Hospital, Gyeonggi-do, Korea(K.H.L.); Department of Internal Medicine, Incheon Medical Center, Incheon, Korea(J.Y.K.); Department of Radiology, Seoul Medical Center, Seoul, Korea(Y.K.L.); Department of Radiology, National Medical Center, Seoul, Korea(H.K.); Department of Radiology, Myongji Hospital, Gyeonggi-do, Korea(K.H.K.); Department of Radiology, Chonnam National University Hospital, Gwanju, Korea(Y.K.)
                Author notes
                Address correspondence to S.H.Y. (e-mail: yshoka@ 123456gmail.com )
                Author information
                https://orcid.org/0000-0003-3735-6791
                https://orcid.org/0000-0002-3559-5855
                https://orcid.org/0000-0002-3700-0165
                https://orcid.org/0000-0003-1013-681X
                https://orcid.org/0000-0003-2248-2525
                https://orcid.org/0000-0002-4306-1597
                https://orcid.org/0000-0001-6953-0972
                https://orcid.org/0000-0002-1945-7743
                https://orcid.org/0000-0002-6911-8125
                https://orcid.org/0000-0003-1884-3738
                https://orcid.org/0000-0002-0047-0729
                https://orcid.org/0000-0003-2530-1646
                https://orcid.org/0000-0002-4299-6411
                https://orcid.org/0000-0003-0722-0033
                https://orcid.org/0000-0002-3697-5542
                https://orcid.org/0000-0002-0779-3889
                https://orcid.org/0000-0003-3991-4523
                https://orcid.org/0000-0002-9566-8905
                https://orcid.org/0000-0003-1791-7942
                Article
                200107
                10.1148/ryct.2020200107
                7233433
                33778565
                1153982d-4b88-4d73-b53d-df03e3db7c85
                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.

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