Por favor, use este identificador para citar o enlazar este ítem:
http://conacyt.repositorioinstitucional.mx/jspui/handle/1000/4949
Imaging Features of Coronavirus disease 2019 (COVID-19): Evaluation on Thin-Section CT | |
Guan Chun Shuang. Lv Zhi Bin. Yan Shuo. Du Yan Ni. Chen Hui. Wei Lian Gui. Xie Ru Ming. Chen Bu Dong. | |
Acceso Abierto | |
Atribución-NoComercial-SinDerivadas | |
10.1016/j.acra.2020.03.002 | |
RATIONALE AND OBJECTIVES:To retrospectively analyze the chest imaging findings in patients with coronavirus disease 2019 (COVID-19) on thin-section CT. MATERIALS AND METHODS:Fifty-three patients with confirmed COVID-19 infection underwent thin-section CT examination. Two chest radiologists independently evaluated the imaging in terms of distribution, ground-glass opacity (GGO), consolidation, air bronchogram, stripe, enlarged mediastinal lymph node, and pleural effusion. RESULTS:Fourty-seven cases (88.7%) had findings of COVID-19 infection, and the other six (11.3%) were normal. Among the 47 cases, 78.7% involved both lungs, and 93.6% had peripheral infiltrates distributed along the subpleural area. All cases showed GGO, 59.6% of which were round and 40.4% patchy. Other imaging features included "crazy-paving pattern" (89.4%), consolidation (63.8%), and air bronchogram (76.6%). Air bronchograms were observed within GGO (61.7%) and consolidation (70.3%). Neither enlarged mediastinal lymph nodes nor pleural effusion were present. Thirty-three patients (62.3%) were followed an average interval of 6.2 ± 2.9 days. The lesions increased in 75.8% and resorbed in 24.2% of patients. CONCLUSION:COVID-19 showed the pulmonary lesions in patients infected with COVID-19 were predominantly distributed peripherally in the subpleural area. | |
Academic Radiology | |
2020 | |
Artículo | |
http://www.academicradiology.org/article/S1076633220301434/pdf | |
Inglés | |
VIRUS RESPIRATORIOS | |
Aparece en las colecciones: | Artículos científicos |
Cargar archivos:
Fichero | Tamaño | Formato | |
---|---|---|---|
1107930.pdf | 1.28 MB | Adobe PDF | Visualizar/Abrir |