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10.3785/j.issn.1008-9292.2020.02.03 http://scihub22266oqcxt.onion/10.3785/j.issn.1008-9292.2020.02.03 32391663!8800813!32391663     free     free     free Warning: Undefined variable $yww in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 538 Warning: Undefined variable $yww in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 538       Zhejiang+Da+Xue+Xue+Bao+Yi+Xue+Ban 2020 ; 49 (2): 191-197 Nephropedia Template TP {{tp|p=32391663|t=2020. Dynamic changes of chest CT imaging in patients with COVID-19 |pdf=|usr=}}{{32391663}} gab.com Text Dynamic changes of chest CT imaging in patients with COVID-19 JO: Zhejiang Da Xue Xue Bao Yi Xue Ban http://www.kidney.de/pget.php?&tw=1&pmid=32391663 #FOAvip OBJECTIVE: To analyze the dynamic changes of chest CT images of patients with coronavirus disease 2019 (COVID-19). METHODS: Fifty-two cases of COVID-19 were admitted in the First Affiliated Hospital of Zhejiang University School of Medicine. The consecutive chest CT scans were followed up for all patients with an average of 4 scans performed per patient during the hospitalization. The shortest interval between each scan was 2 days and the longest was 7 days. The shape, number and distribution of lung shadows, as well as the characteristics of the lesions on the CT images were reviewed. RESULTS: The obvious shadows infiltrating the lungs were shown on CT images in 50 cases, for other 2 cases there was no abnormal changes in the lungs during the first CT examination. Ground-glass opacities (GGO) were found in 48 cases (92.3%), and 19 cases (36.5%) had patchy consolidation and sub-consolidation, which were accompanied with air bronchi sign in 17 cases (32.7%). Forty one cases (78.8%) showed a thickened leaflet interval, 4 cases (7.6%) had a small number of fibrous stripes. During hospitalization, GGO lesions in COVID-19 patients gradually became rare,the fibrous strip shadows increased and it became the most common imaging manifestation. The lesions rapidly progressed in 39 cases (75.0%) within 6-9 days after admission. On days 10-14 of admission, the lesions distinctly resolved in 40 cases (76.9%). CONCLUSIONS: The chest CT images of patients with COVID-19 have certain characteristics with dynamic changes, which are of value for monitoring disease progress and clinical treatment. Twit Text FOAVip Dynamic changes of chest CT imaging in patients with COVID-19 ????Zhejiang Da Xue Xue Bao Yi Xue Ban http://www.kidney.de/pget.php?&tw=1&pmid=32391663 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32391663 #FOAvip English Wikipedia <ref>{{Cite pmid|32391663}}</ref> Dynamic changes of chest CT imaging in patients with COVID-19 #MMPMID32391663 Wang J; Liu J; Wang Y; Liu W; Chen X; Sun C; Shen X; Wang Q; Wu Y; Liang W; Ruan L Zhejiang Da Xue Xue Bao Yi Xue Ban 2020[Feb]; 49 (2): 191-197 PMID32391663show ga OBJECTIVE: To analyze the dynamic changes of chest CT images of patients with coronavirus disease 2019 (COVID-19). METHODS: Fifty-two cases of COVID-19 were admitted in the First Affiliated Hospital of Zhejiang University School of Medicine. The consecutive chest CT scans were followed up for all patients with an average of 4 scans performed per patient during the hospitalization. The shortest interval between each scan was 2 days and the longest was 7 days. The shape, number and distribution of lung shadows, as well as the characteristics of the lesions on the CT images were reviewed. RESULTS: The obvious shadows infiltrating the lungs were shown on CT images in 50 cases, for other 2 cases there was no abnormal changes in the lungs during the first CT examination. Ground-glass opacities (GGO) were found in 48 cases (92.3%), and 19 cases (36.5%) had patchy consolidation and sub-consolidation, which were accompanied with air bronchi sign in 17 cases (32.7%). Forty one cases (78.8%) showed a thickened leaflet interval, 4 cases (7.6%) had a small number of fibrous stripes. During hospitalization, GGO lesions in COVID-19 patients gradually became rare,the fibrous strip shadows increased and it became the most common imaging manifestation. The lesions rapidly progressed in 39 cases (75.0%) within 6-9 days after admission. On days 10-14 of admission, the lesions distinctly resolved in 40 cases (76.9%). CONCLUSIONS: The chest CT images of patients with COVID-19 have certain characteristics with dynamic changes, which are of value for monitoring disease progress and clinical treatment. |*Coronavirus Infections/diagnostic imaging/pathology[MESH] |*Pandemics[MESH] |*Pneumonia, Viral/diagnostic imaging/pathology[MESH] |*Tomography, X-Ray Computed[MESH] |Betacoronavirus/isolation & purification[MESH] |COVID-19[MESH] |China[MESH] |Disease Progression[MESH] |Humans[MESH] Dynamic changes of chest CT imaging in patients with COVID-19 (epmc).pdf DeepDyve Pubget Overpricing