Clinical and Dynamic Computed Tomography Features of 24 Patients With Coronavirus Disease 2019
| Autor: | Xiaojin Liu, Huaqian Suo, Wanbo Xu, Bingkun Jie, Guoqing Qiao, Zhenhe Liu, Qingshui Zheng |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Adult
Male 2019-20 coronavirus outbreak China Coronavirus disease 2019 (COVID-19) Adolescent Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) Computed tomography 030204 cardiovascular system & hematology medicine.disease_cause 03 medical and health sciences Young Adult 0302 clinical medicine Medicine Humans Radiology Nuclear Medicine and imaging 030212 general & internal medicine Lung Coronavirus Aged Retrospective Studies Aged 80 and over medicine.diagnostic_test business.industry SARS-CoV-2 COVID-19 General Medicine Middle Aged Virology Female business Tomography X-Ray Computed |
| Zdroj: | Canadian Association of Radiologists journal = Journal l'Association canadienne des radiologistes. 72(2) |
| ISSN: | 1488-2361 |
| Popis: | Purpose: To explore the clinical and dynamic computed tomography features of coronavirus disease 2019. Methods: We enrolled 24 patients with coronavirus disease 2019 treated at a regional center in Dezhou, China, from January 22 to February 5, 2020, and analyzed data retrospectively. Results: Nineteen cases had close contact with people with coronavirus disease 2019, and five patients denied a travel history in Wuhan City or contact with patients having coronavirus disease 2019. Symptoms were fever, cough, chest tightness, dyspnea, fatigue, and muscle pain. Chest computed tomography showed multiple ground-glass opacities distributed along peribronchial bundles and subpleural areas, often accompanied by bronchiectasis, vascular thickening, and interlobular septal thickening after coronavirus disease 2019 progression. Conclusions: Coronavirus disease 2019 has certain clinical characteristics and typical computed tomography features. |
| Databáze: | OpenAIRE |
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