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[Dynamic changes of chest CT imaging in patients with COVID-19].
Wang, Jincheng; Liu, Jinpeng; Wang, Yuanyuan; Liu, Wei; Chen, Xiaoqun; Sun, Chao; Shen, Xiaoyong; Wang, Qidong; Wu, Yaping; Liang, Wenjie; Ruan, Lingxiang.
Affiliation
  • Wang J; Radiology Department, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China.
  • Liu J; Radiology Department, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China.
  • Wang Y; Radiology Department, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China.
  • Liu W; Radiology Department, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China.
  • Chen X; Radiology Department, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China.
  • Sun C; Radiology Department, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China.
  • Shen X; Radiology Department, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China.
  • Wang Q; Radiology Department, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China.
  • Wu Y; Radiology Department, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China.
  • Liang W; Radiology Department, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China.
  • Ruan L; Radiology Department, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China.
Zhejiang Da Xue Xue Bao Yi Xue Ban ; 49(2): 191-197, 2020 02 24.
Article in Zh | MEDLINE | ID: mdl-32391663
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.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Pneumonia, Viral / Tomography, X-Ray Computed / Coronavirus Infections / Pandemics Limits: Humans Country/Region as subject: Asia Language: Zh Journal: Zhejiang Da Xue Xue Bao Yi Xue Ban Journal subject: MEDICINA Year: 2020 Type: Article Affiliation country: China

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Pneumonia, Viral / Tomography, X-Ray Computed / Coronavirus Infections / Pandemics Limits: Humans Country/Region as subject: Asia Language: Zh Journal: Zhejiang Da Xue Xue Bao Yi Xue Ban Journal subject: MEDICINA Year: 2020 Type: Article Affiliation country: China