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The novel coronavirus pneumonia (COVID-19): a pictorial review of chest CT features.
Bayraktaroglu, Selen; Çinkooglu, Akin; Ceylan, Naim; Savas, Recep.
  • Bayraktaroglu S; Department of Radiology, Ege University Faculty of Medicine, Bornova, Izmir, Turkey.
  • Çinkooglu A; Department of Radiology, Ege University Faculty of Medicine, Bornova, Izmir, Turkey.
  • Ceylan N; Department of Radiology, Ege University Faculty of Medicine, Bornova, Izmir, Turkey.
  • Savas R; Department of Radiology, Ege University Faculty of Medicine, Bornova, Izmir, Turkey.
Diagn Interv Radiol ; 27(2): 188-194, 2021 Mar.
Article in English | MEDLINE | ID: covidwho-724033
ABSTRACT
Coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), was first reported in Wuhan, China. The infection rapidly spread to more than 200 countries around the world. The clinical presentation of the disease may vary from mild illness to severe pneumonia such as acute respiratory distress syndrome (ARDS). The chest computed tomography (CT) has an important complementary role in diagnosis of the disease. The predominant CT findings of the disease are ground glass opacities and consolidations located in subpleural areas of lower lobes. Widespread ground-glass opacities, consolidation, air bronchograms, central involvement of lung parenchyma, mediastinal lymphadenopathy are more common in patients with the severe form of the disease. CT imaging also guides in differentiation of alternative diagnosis or in assessment of associated pulmonary embolism during the course of the disease. In this pictorial review we aim to review the CT features of COVID-19 pneumonia and mention the changes throughout the disease process.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Tomography, X-Ray Computed / COVID-19 Type of study: Prognostic study Limits: Adolescent / Adult / Aged / Female / Humans / Male / Middle aged / Young adult Language: English Journal: Diagn Interv Radiol Journal subject: Diagnostic Imaging / Radiology Year: 2021 Document Type: Article Affiliation country: Dir.2020.20304

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Tomography, X-Ray Computed / COVID-19 Type of study: Prognostic study Limits: Adolescent / Adult / Aged / Female / Humans / Male / Middle aged / Young adult Language: English Journal: Diagn Interv Radiol Journal subject: Diagnostic Imaging / Radiology Year: 2021 Document Type: Article Affiliation country: Dir.2020.20304