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10.1016/j.jrid.2020.08.002 http://scihub22266oqcxt.onion/10.1016/j.jrid.2020.08.002 32864406!7443333!32864406     free     free     free Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Radiol+Infect+Dis 2020 ; 7 (4): 195-203 Nephropedia Template TP {{tp|p=32864406|t=2020. Initial CT features and dynamic evolution of early-stage patients with COVID-19 |pdf=|usr=}}{{32864406}} gab.com Text Initial CT features and dynamic evolution of early-stage patients with COVID-19 JO: Radiol Infect Dis http://www.kidney.de/pget.php?&tw=1&pmid=32864406 #FOAvip OBJECTIVE: To explore the initial CT features and dynamic evolution of early-stage patients with Coronavirus disease 2019 (COVID-19). METHODS: A total of 126 COVID-19 patients in the early stage were enrolled. The initial CT features and dynamic evolution characteristics of the progression and absorption process from the stage of admission to discharge were retrospectively analyzed in this study. RESULTS: The main initial CT features were as follows: bilateral distribution (112/126, 88.9%), diffuse distribution (106/126, 84.1%), multiple lesions (117/126, 92.9%), nodular shapes (84/126, 66.7%), patchy shapes (98/126, 77.8%), pure ground-glass opacities (GGO) (95/126, 75.4%), "vascular thickening sign" (98/126, 77.8%), "air bronchogram sign" (70/126, 55.6%), "crazy paving pattern" (93/126, 73.8%), and "pleura parallel sign" (72/126, 57.1%). The main dynamic evolution characteristics were as follows: 1 in circle Imaging findings of the progression process: the main CT changes were increased GGOs with consolidation (118/126, 93.7%), an increased "crazy paving pattern" (104/126, 82.5%), an increased "vascular thickening sign" (105/126, 83.3%), and an increased "air bronchogram sign" (95/126, 75.4%); 2 in circle Imaging findings of the absorption process: the main CT changes were the obvious absorption of consolidation displayed as inhomogeneous partial GGOs with fibrosis shadows, the occurrence of a "fishing net on trees sign" (45/126, 35.7%), an increased "fibrosis sign" (40/126, 31.7%), an increased "subpleural line sign" (35/126, 27.8%), a decreased "crazy paving pattern" (19.8%), and a decreased "vascular thickening sign" (23.8%); and 3 in circle In the stage of discharge, the main CT manifestations were further absorption of GGOs, consolidation and fibrosis shadows in the lung, and no appearance of new lesions, with only a small amount of shadow with fibrotic streaks and reticulations remaining in some cases (16/126, 12.7%). CONCLUSION: The initial CT features and dynamic evolution of early-stage patients with COVID-19 have certain characteristics and regularity; CT of the chest is critical for early detection, evaluation of disease severity and follow-up of patients. Twit Text FOAVip Initial CT features and dynamic evolution of early-stage patients with COVID-19 ????Radiol Infect Dis http://www.kidney.de/pget.php?&tw=1&pmid=32864406 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32864406 #FOAvip English Wikipedia <ref>{{Cite pmid|32864406}}</ref> Initial CT features and dynamic evolution of early-stage patients with COVID-19 #MMPMID32864406 Wang C; Shi B; Wei C; Ding H; Gu J; Dong J Radiol Infect Dis 2020[Dec]; 7 (4): 195-203 PMID32864406show ga OBJECTIVE: To explore the initial CT features and dynamic evolution of early-stage patients with Coronavirus disease 2019 (COVID-19). METHODS: A total of 126 COVID-19 patients in the early stage were enrolled. The initial CT features and dynamic evolution characteristics of the progression and absorption process from the stage of admission to discharge were retrospectively analyzed in this study. RESULTS: The main initial CT features were as follows: bilateral distribution (112/126, 88.9%), diffuse distribution (106/126, 84.1%), multiple lesions (117/126, 92.9%), nodular shapes (84/126, 66.7%), patchy shapes (98/126, 77.8%), pure ground-glass opacities (GGO) (95/126, 75.4%), "vascular thickening sign" (98/126, 77.8%), "air bronchogram sign" (70/126, 55.6%), "crazy paving pattern" (93/126, 73.8%), and "pleura parallel sign" (72/126, 57.1%). The main dynamic evolution characteristics were as follows: 1 in circle Imaging findings of the progression process: the main CT changes were increased GGOs with consolidation (118/126, 93.7%), an increased "crazy paving pattern" (104/126, 82.5%), an increased "vascular thickening sign" (105/126, 83.3%), and an increased "air bronchogram sign" (95/126, 75.4%); 2 in circle Imaging findings of the absorption process: the main CT changes were the obvious absorption of consolidation displayed as inhomogeneous partial GGOs with fibrosis shadows, the occurrence of a "fishing net on trees sign" (45/126, 35.7%), an increased "fibrosis sign" (40/126, 31.7%), an increased "subpleural line sign" (35/126, 27.8%), a decreased "crazy paving pattern" (19.8%), and a decreased "vascular thickening sign" (23.8%); and 3 in circle In the stage of discharge, the main CT manifestations were further absorption of GGOs, consolidation and fibrosis shadows in the lung, and no appearance of new lesions, with only a small amount of shadow with fibrotic streaks and reticulations remaining in some cases (16/126, 12.7%). CONCLUSION: The initial CT features and dynamic evolution of early-stage patients with COVID-19 have certain characteristics and regularity; CT of the chest is critical for early detection, evaluation of disease severity and follow-up of patients. äInitial CT features and dynamic evolution of early-stage patients with(epmc).pdf DeepDyve Pubget Overpricing