Computed tomography findings in COVID-19 and atypical pneumonia: a comparative study


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Çıvgın E., Parlak İ. S., Güneş Y. C., Bahadır G. K., KARALEZLİ A.

Journal of infection in developing countries, vol.17, no.8, pp.1063-1069, 2023 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 17 Issue: 8
  • Publication Date: 2023
  • Doi Number: 10.3855/jidc.16698
  • Journal Name: Journal of infection in developing countries
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, BIOSIS, CAB Abstracts, MEDLINE, Veterinary Science Database, Directory of Open Access Journals
  • Page Numbers: pp.1063-1069
  • Keywords: atypical pneumonia, computed tomography, COVID-19
  • Ankara Yıldırım Beyazıt University Affiliated: Yes

Abstract

INTRODUCTION: Computed tomography (CT) has an important role in the rapid diagnosis, treatment, and management of lower respiratory tract infections. This study aimed to explore different imaging characteristics between Coronavirus disease 2019 (COVID-19) and atypical pneumonia (non-COVID-19) on chest CT of patients admitted to the emergency department. METHODOLOGY: CT features of 120 patients with positive Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) by reverse transcriptase-polymerase chain reaction (RT-PCR) and 83 patients with negative SARS-CoV-2 by RT-PCR but positive respiratory tract sample test results for other respiratory pathogens were retrospectively evaluated, findings were recorded and compared between the two groups. RESULTS: Compared to non-COVID-19, COVID-19 patients were more likely to have a peripheral (60.5% vs. 23.8%, p < 0.001) and bilateral distribution (72.3% vs. 41.3%, p < 0.001), patchy consolidations (45% vs. 28.9%, p = 0.021), ground glass opacity (GGO) (94.2% vs. 83.1%, p = 0.011), crazy paving patterns (55% vs. 31.3%, p < 0.001); but less likely to have centrilobular nodules (15% vs. 62.7%, p < 0.001), pleural effusion (3.3% vs. 10.8%, p = 0.032), multifocal consolidations (7.5% vs. 21.7%, p = 0.003), and random distribution (1.7% vs. 46.3%, p < 0.001). CONCLUSIONS: There were significant differences between the CT patterns of patients with COVID-19 and other atypical pneumonia. The presence of patchy consolidations, GGO, crazy paving patterns with typical peripheral, bilateral distribution, and absence of centrilobular nodules, pleural effusion, and multifocal consolidations may help to differentiate COVID-19 from atypical pneumonia.