Services on Demand
Journal
Article
Indicators
- Cited by SciELO
- Access statistics
Related links
- Similars in SciELO
Share
Neumología y cirugía de tórax
Print version ISSN 0028-3746
Abstract
JUAREZ-HERNANDEZ, Fortunato et al. CT findings in COVID-19 lung disease, initial experience at Instituto Nacional de Enfermedades Respiratorias Ismael Cosío Villegas, Ciudad de México. Neumol. cir. torax [online]. 2020, vol.79, n.2, pp.71-77. Epub Feb 28, 2022. ISSN 0028-3746. https://doi.org/10.35366/94630.
Introduction:
The SARS-CoV-2 pandemic is a major public health problem worldwide, with high morbidity and mortality rates. Computed tomography (CT) is essential in the diagnostic process given its high sensitivity.
Objective:
To describe the tomographic findings in COVID-19 lung involvement.
Material and methods:
Analytical cross-sectional study. Patients attended at the INER, CDMX, with a current operational definition of a suspected case for COVID-19, who had a specific RT-PCR test and chest CT in the initial evaluation. A descriptive and analytical analysis was performed using the Student’s χ2 and t tests. The Epi-Info version 7 program was used.
Results:
56 patients were analyzed, with an average age of 51 years, 61% were male. 52% presented comorbidities, with diabetes mellitus being the most frequent. The symptoms that were mostly observed were fever, cough and headache. The tomographic pattern that predominated was mixed, with a subpleural and bilateral location.
Conclusion:
The pulmonary tomographic spectrum of the studied population was characterized by two main patterns: mixed type (areas of ground glass consolidation) and crazy paving.
Keywords : Pneumonia viral; SARS-CoV-2; COVID-19; computed tomography; INER.