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10.1017/S0950268820001508 http://scihub22266oqcxt.onion/10.1017/S0950268820001508 32624074!7360949!32624074     free     free     free Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 245.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Epidemiol+Infect 2020 ; 148 (ä): e136 Nephropedia Template TP {{tp|p=32624074|t=2020. Dynamic evolution of lung abnormalities evaluated by quantitative CT techniques in patients with COVID-19 infection |pdf=|usr=}}{{32624074}} gab.com Text Dynamic evolution of lung abnormalities evaluated by quantitative CT techniques in patients with COVID-19 infection JO: Epidemiol Infect http://www.kidney.de/pget.php?&tw=1&pmid=32624074 #FOAvip Chest CT evaluation is often vital to determine patients suspected of COVID-19 pneumonia. The aim of this study was to determine the evolution of lung abnormalities evaluated by quantitative CT techniques in patients with COVID-19 infection from initial diagnosis to recovery. This retrospective study included 16 patients with COVID-19 infection from 30 January 2020 through 11 March 2020. Repeat chest CT examinations were obtained for three or more scans per patient. We measured total volume and mean CT value of lung lesions in each patient per scan, and then calculated the mass, which equals to volume x (CT value + 1000). Dynamic evolution of chest CT imaging as a function of time was fitted by non-linear regression model in terms of mass, volume and CT value, respectively. According to the fitting curves, we redefined the evolution of lung abnormalities: progressive stage (0-5 days), infection emerged and rapidly aggravated; peak stage (5-15 days), the greatest severity at approximate 7-8 days after onset; and absorption stage (15-30 days), the lesions slowly and gradually resolved. Twit Text FOAVip Dynamic evolution of lung abnormalities evaluated by quantitative CT techniques in patients with COVID-19 infection ????Epidemiol Infect http://www.kidney.de/pget.php?&tw=1&pmid=32624074 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32624074 #FOAvip English Wikipedia <ref>{{Cite pmid|32624074}}</ref> Dynamic evolution of lung abnormalities evaluated by quantitative CT techniques in patients with COVID-19 infection #MMPMID32624074 Feng X; Ding X; Zhang F Epidemiol Infect 2020[Jul]; 148 (ä): e136 PMID32624074show ga Chest CT evaluation is often vital to determine patients suspected of COVID-19 pneumonia. The aim of this study was to determine the evolution of lung abnormalities evaluated by quantitative CT techniques in patients with COVID-19 infection from initial diagnosis to recovery. This retrospective study included 16 patients with COVID-19 infection from 30 January 2020 through 11 March 2020. Repeat chest CT examinations were obtained for three or more scans per patient. We measured total volume and mean CT value of lung lesions in each patient per scan, and then calculated the mass, which equals to volume x (CT value + 1000). Dynamic evolution of chest CT imaging as a function of time was fitted by non-linear regression model in terms of mass, volume and CT value, respectively. According to the fitting curves, we redefined the evolution of lung abnormalities: progressive stage (0-5 days), infection emerged and rapidly aggravated; peak stage (5-15 days), the greatest severity at approximate 7-8 days after onset; and absorption stage (15-30 days), the lesions slowly and gradually resolved. |COVID-19[MESH] |Coronavirus Infections/diagnostic imaging/*pathology[MESH] |Disease Progression[MESH] |Female[MESH] |Humans[MESH] |Lung/diagnostic imaging/*pathology[MESH] |Male[MESH] |Middle Aged[MESH] |Pandemics[MESH] |Pneumonia, Viral/diagnostic imaging/*pathology[MESH] |Retrospective Studies[MESH]Dynamic evolution of lung abnormalities evaluated by quantitative CT t(epmc).pdf DeepDyve Pubget Overpricing