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.