Open AccessChest CT features of coronavirus disease-19 (COVID-19) pneumonia: which findings on initial CT can predict an adverse short-term outcome?
Author(s) -
Arshed Hussain Parry,
Abrar Ahad Wani,
Naveed Nazir Shah,
Mudasira Yaseen,
Majid Jehangir
Publication year - 2020
Publication title -
bjr|open
Language(s) - English
Resource type - Journals
ISSN - 2513-9878
DOI - 10.1259/bjro.20200016
Subject(s) - medicine , pneumonia , lung , retrospective cohort study , intensive care unit , covid-19 , radiology , gastroenterology , disease , infectious disease (medical specialty)
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.