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Extension of coronavirus disease 2019 on chest ct and implications for chest radiographic interpretation

Authors
Choi, H.Qi, X.Yoon, S.H.Park, S.J.Lee, K.H.Kim, J.Y.Lee, Y.K.Ko, H.Kim, K.H.Park, C.M.Kim, Y.-H.Lei, J.Hong, J.H.Kim, H.Hwang, E.J.Yoo, S.J.Nam, J.G.Lee, C.H.Goo, J.M.
Issue Date
Apr-2020
Publisher
Radiological Society of North America Inc.
Citation
Radiology: Cardiothoracic Imaging, v.2, no.2
Journal Title
Radiology: Cardiothoracic Imaging
Volume
2
Number
2
URI
https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/71144
DOI
10.1148/ryct.2020200107
ISSN
2638-6135
Abstract
Purpose: To study the extent of pulmonary involvement in coronavirus 19 (COVID-19) with quantitative CT 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 semiautomatically segmented on CT images, producing an anteroposterior projection image to match the corresponding frontal chest radiograph. The quantitative CT lung opacifi- cation mass (QCTmass) was defined as (opacity attenuation value + 1000 HU)/1000 × 1.065 (g/mL) × combined volume (cm3) of the individual opacities. Eight thoracic radiologists reviewed the 40 radiographs, and a receiver operating characteristic curve analysis was performed for the detection of lung opacities. Logistic regression analysis was performed to identify factors affecting opacity visibility on chest radiographs. Results: The mean QCTmass per patient was 72.4 g ± 120.8 (range, 0.7–420.7 g), 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 <.001) and combined opacity volume (P <.001) significantly affected opacity visibility on radiographs. Conclusion: QCTmass varied among patients with COVID-19. 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. © RSNA, 2020.
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의과대학 (의학부(임상-서울))
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