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High Resolution CT Imaging Dynamic Follow-Up Study of Novel Coronavirus Pneumonia
- Source :
- Frontiers in Medicine, Vol 7 (2020)
- Publication Year :
- 2020
- Publisher :
- Frontiers Media S.A., 2020.
-
Abstract
- Objective: To explore the clinical characteristics and dynamic follow-up changes of high resolution CT (HRCT) in 270 patients with Coronavirus Disease 2019 (COVID-19) pneumonia.Methods: Two hundred seventy COVID-19 pneumonia patients were retrospectively analyzed, including 146 males and 124 females, with median age of 51 (9,89). The clinical features, laboratory examination indexes and HRCT evolution findings of 270 COVID-19 pneumonia patients were analyzed.Results: 264 cases (95.74%) were positive at the first time nucleic acid test, 6 cases (2.22%) were negative, after multiple inspections, 270 cases (100%) were positive. According to the number of lung segments involved in the lesion, the lesions range from 50% (Critical type). At the first CT exam, 136 cases (50.37%) of the common type, 89 cases (32.96%) of the severe type and 45 cases (16.67%) of the critical type. At the second CT exam, 84 cases (31.11%) of the common type, 103 cases (38.15%) of the severe type and 83 cases (30.74%) of the critical type. In the third CT exam, there were 151 cases (55.93%) of the common type, 86 cases (31.85%) of the severe type and 33 cases (12.22%) of the critical type. The differences in image typing were statistically significant (P < 0.05). During this study, a total of 173 patients (64.08%) were recovered after treatment.Conclusion: In some epidemiological backgrounds, CT imaging manifestations and evolutionary characteristics are of great significance for early warning of lung injury, assessment of disease severity, and assistance in clinical typing and post-treatment follow-up.
- Subjects :
- COVID-19
pneumonia
tomography
X-ray computed
CT imaging
Medicine (General)
R5-920
Subjects
Details
- Language :
- English
- ISSN :
- 2296858X
- Volume :
- 7
- Database :
- Directory of Open Access Journals
- Journal :
- Frontiers in Medicine
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.7def6dbbcf543ee817c6b5e3e2e0908
- Document Type :
- article
- Full Text :
- https://doi.org/10.3389/fmed.2020.00168