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Extension of Coronavirus Disease 2019 on Chest CT and Implications for Chest Radiographic Interpretation

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...

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Autores principales: Choi, Hyewon, Qi, Xiaolong, Yoon, Soon Ho, Park, Sang Joon, Lee, Kyung Hee, Kim, Jin Yong, Lee, Young Kyung, Ko, Hongseok, Kim, Ki Hwan, Park, Chang Min, Kim, Yun-Hyeon, Lei, Junqiang, Hong, Jung Hee, Kim, Hyungjin, Hwang, Eui Jin, Yoo, Seung Jin, Nam, Ju Gang, Lee, Chang Hyun, Goo, Jin Mo
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/PMC7233433/
https://www.ncbi.nlm.nih.gov/pubmed/33778565
http://dx.doi.org/10.1148/ryct.2020200107
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author Choi, Hyewon
Qi, Xiaolong
Yoon, Soon Ho
Park, Sang Joon
Lee, Kyung Hee
Kim, Jin Yong
Lee, Young Kyung
Ko, Hongseok
Kim, Ki Hwan
Park, Chang Min
Kim, Yun-Hyeon
Lei, Junqiang
Hong, Jung Hee
Kim, Hyungjin
Hwang, Eui Jin
Yoo, Seung Jin
Nam, Ju Gang
Lee, Chang Hyun
Goo, Jin Mo
author_facet Choi, Hyewon
Qi, Xiaolong
Yoon, Soon Ho
Park, Sang Joon
Lee, Kyung Hee
Kim, Jin Yong
Lee, Young Kyung
Ko, Hongseok
Kim, Ki Hwan
Park, Chang Min
Kim, Yun-Hyeon
Lei, Junqiang
Hong, Jung Hee
Kim, Hyungjin
Hwang, Eui Jin
Yoo, Seung Jin
Nam, Ju Gang
Lee, Chang Hyun
Goo, Jin Mo
author_sort Choi, Hyewon
collection PubMed
description 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 opacification mass (QCT(mass)) 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 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 QCT(mass) 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 QCT(mass) (P < .001) and combined opacity volume (P < .001) significantly affected opacity visibility on radiographs. CONCLUSION: QCT(mass) varied among patients with COVID-19. Chest radiographs had high specificity for detecting lung opacities in COVID-19 but a low sensitivity. QCT(mass) and combined opacity volume were significant determinants of opacity visibility on radiographs. Earlier incorrect version appeared online. This article was corrected on April 6, 2020 and December 14, 2020. Supplemental material is available for this article. © RSNA, 2020
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spelling pubmed-72334332020-06-02 Extension of Coronavirus Disease 2019 on Chest CT and Implications for Chest Radiographic Interpretation Choi, Hyewon Qi, Xiaolong Yoon, Soon Ho Park, Sang Joon Lee, Kyung Hee Kim, Jin Yong Lee, Young Kyung Ko, Hongseok Kim, Ki Hwan Park, Chang Min Kim, Yun-Hyeon Lei, Junqiang Hong, Jung Hee Kim, Hyungjin Hwang, Eui Jin Yoo, Seung Jin Nam, Ju Gang Lee, Chang Hyun Goo, Jin Mo Radiol Cardiothorac Imaging Original Research 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 opacification mass (QCT(mass)) 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 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 QCT(mass) 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 QCT(mass) (P < .001) and combined opacity volume (P < .001) significantly affected opacity visibility on radiographs. CONCLUSION: QCT(mass) varied among patients with COVID-19. Chest radiographs had high specificity for detecting lung opacities in COVID-19 but a low sensitivity. QCT(mass) and combined opacity volume were significant determinants of opacity visibility on radiographs. Earlier incorrect version appeared online. This article was corrected on April 6, 2020 and December 14, 2020. Supplemental material is available for this article. © RSNA, 2020 Radiological Society of North America 2020-03-30 /pmc/articles/PMC7233433/ /pubmed/33778565 http://dx.doi.org/10.1148/ryct.2020200107 Text en 2020 by the Radiological Society of North America, Inc.
spellingShingle Original Research
Choi, Hyewon
Qi, Xiaolong
Yoon, Soon Ho
Park, Sang Joon
Lee, Kyung Hee
Kim, Jin Yong
Lee, Young Kyung
Ko, Hongseok
Kim, Ki Hwan
Park, Chang Min
Kim, Yun-Hyeon
Lei, Junqiang
Hong, Jung Hee
Kim, Hyungjin
Hwang, Eui Jin
Yoo, Seung Jin
Nam, Ju Gang
Lee, Chang Hyun
Goo, Jin Mo
Extension of Coronavirus Disease 2019 on Chest CT and Implications for Chest Radiographic Interpretation
title Extension of Coronavirus Disease 2019 on Chest CT and Implications for Chest Radiographic Interpretation
title_full Extension of Coronavirus Disease 2019 on Chest CT and Implications for Chest Radiographic Interpretation
title_fullStr Extension of Coronavirus Disease 2019 on Chest CT and Implications for Chest Radiographic Interpretation
title_full_unstemmed Extension of Coronavirus Disease 2019 on Chest CT and Implications for Chest Radiographic Interpretation
title_short Extension of Coronavirus Disease 2019 on Chest CT and Implications for Chest Radiographic Interpretation
title_sort extension of coronavirus disease 2019 on chest ct and implications for chest radiographic interpretation
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7233433/
https://www.ncbi.nlm.nih.gov/pubmed/33778565
http://dx.doi.org/10.1148/ryct.2020200107
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