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?:abstract
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Objective: To study the spectrum of chest CT features in coronavirus disease-19 (COVID-19) pneumonia and to identify the initial CT findings that may have the potential to predict a poor short-term outcome Methods: This was a retrospective study comprising 211 reverse transcriptase-polymerase chain reaction (RT-PCR) positive patients who had undergone non-contrast chest CT Prevalence, extent, pattern, distribution and type of abnormal lung findings were recorded Patients with positive CT findings were divided into two groups;clinically stable (requiring in-ward hospitalization) and clinically unstable [requiring intensive care unit (ICU) admission or demised] based on short-term follow-up Results: Lung parenchymal abnormalities were present in 42 2% (89/211) whereas 57 8% (122/211) cases had a normal chest CT The mean age of clinically unstable patients (63 6 +/- 8 3 years) was significantly different from the clinically stable group (44 6 +/- 13 2 years) (p-value < 0 05) Bilaterality, combined involvement of central-peripheral and anteroposterior lung along with a higher percentage of the total lung involvement, presence of crazy paving, coalescent consolidations with air bronchogram and segmental pulmonary vessel enlargement were found in a significantly higher proportion of clinically unstable group (ICU/demised) compared to the stable group (in-ward hospitalization) with all p values < 0 05 Conclusion: Certain imaging findings on initial CT have the potential to predict short-term outcome in COVID-19 pneumonia Extensive pulmonary abnormalities, evaluated by combined anteroposterior, central-peripheral and a higher percentage of the total lung involvement, indicate a poor short-term outcome Similarly, the presence of crazy paving pattern, consolidation with air bronchogram and segmental vascular changes are also indicators of poor short-term outcome Advances in knowledge: Certain findings on initial CT can predict an adverse short-term prognosis in COVID-19 pneumonia
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