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10.1148/ryct.2020200107 http://scihub22266oqcxt.onion/10.1148/ryct.2020200107 C7233433!7233433!33778565     free     free     free Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Radiol+Cardiothorac+Imaging 2020 ; 2 (2): ä Nephropedia Template TP {{tp|p=33778565|t=2020. Extension of Coronavirus Disease 2019 on Chest CT and Implications for Chest Radiographic Interpretation |pdf=|usr=}}{{33778565}} gab.com Text Extension of Coronavirus Disease 2019 on Chest CT and Implications for Chest Radiographic Interpretation JO: Radiol Cardiothorac Imaging http://www.kidney.de/pget.php?&tw=1&pmid=33778565 #FOAvip 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 (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.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 Twit Text FOAVip Extension of Coronavirus Disease 2019 on Chest CT and Implications for Chest Radiographic Interpretation ????Radiol Cardiothorac Imaging http://www.kidney.de/pget.php?&tw=1&pmid=33778565 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33778565 #FOAvip English Wikipedia <ref>{{Cite pmid|33778565}}</ref> Extension of Coronavirus Disease 2019 on Chest CT and Implications for Chest Radiographic Interpretation #MMPMID33778565 Choi H; Qi X; Yoon SH; Park SJ; Lee KH; Kim JY; Lee YK; Ko H; Kim KH; Park CM; Kim YH; Lei J; Hong JH; Kim H; Hwang EJ; Yoo SJ; Nam JG; Lee CH; Goo JM Radiol Cardiothorac Imaging 2020[Apr]; 2 (2): ä PMID33778565show ga 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 (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.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 äExtension of Coronavirus Disease 2019 on Chest CT and Implications for(epmc).pdf DeepDyve Pubget Overpricing