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Zhejiang Da Xue Xue Bao Yi Xue Ban. Dynamic changes of chest CT imaging in patients with COVID-19

tetano

Editor, Senior Moderator
Zhejiang Da Xue Xue Bao Yi Xue Ban. 2020 May 25;49(2):191-197.
[Dynamic changes of chest CT imaging in patients with COVID-19].


[Article in Chinese]

Wang J[SUP]1[/SUP], Liu J[SUP]1[/SUP], Wang Y[SUP]1[/SUP], Liu W[SUP]1[/SUP], Chen X[SUP]1[/SUP], Sun C[SUP]1[/SUP], Shen X[SUP]1[/SUP], Wang Q[SUP]1[/SUP], Wu Y[SUP]1[/SUP], Liang W[SUP]1[/SUP], Ruan L[SUP]1[/SUP].

Author information




Abstract

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.



PMID:32391663
 
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