COVID-19 pneumonia and its lookalikes: How radiologists perform in differentiating atypical pneumonias. Issue 144 (November 2021)

• Record Type: Journal Article
• Authors: Giannakis, Athanasios; Móré, Dorottya; Erdmann, Stella; Kintzelé, Laurent; Fischer, Ralph Michael; Vogel, Monika Nadja; Mangold, David Lukas; von Stackelberg, Oyunbileg; Schnitzler, Paul; Zimmermann, Stefan; Heussel, Claus Peter; Kauczor, Hans-Ulrich; Hellbach, Katharina
• Is Part Of: European journal of radiology. Issue 144(2021)
• Publication Date: 2021-11
• Subjects: 95% CI 95% confidence interval -- AIC Akaike information criterion -- chi2 Pearson's chi-squared test -- CMV Cytomegalovirus -- COVID 19 Coronavirus disease 2019 -- GGO Ground glass opacity -- HSV1 Herpes Simplex Virus 1 (HSV1) -- OR Odds ratio -- PJP Pneumocystis jiroveci -- RSV Respiratory Syncytial Virus -- RT-PCR Reverse transcription polymerase chain reaction -- SARS-CoV-2 severe acute respiratory syndrome coronavirus 2 -- SD Standard deviation -- tt2 Welch's two-sample t-test; CT -- COVID-19 -- Atypical -- Viral -- Bacteria -- Fungal; Medical radiology -- Periodicals; Radiology -- Periodicals; Radiologie médicale -- Périodiques; Medical radiology; Periodicals; 616.075705
• DOI: 10.1016/j.ejrad.2021.110002
• Languages: English
• ISSNs: 0720-048X

Abstract

Highlights: Radiologists can differentiate COVID-19 from other atypical pneumonias on chest CT. Radiologists performed worse in the early and late CT stage of COVID 19 pneumonia. PJP-, CMV- and HSV1-pneumonia were most similar to COVID-19 pneumonia on chest CT. Abstract: Purpose: To examine the performance of radiologists in differentiating COVID-19 from non-COVID-19 atypical pneumonia and to perform an analysis of CT patterns in a study cohort including viral, fungal and atypical bacterial pathogens. Methods: Patients with positive RT-PCR tests for COVID-19 pneumonia (n = 90) and non-COVID-19 atypical pneumonia (n = 294) were retrospectively included. Five radiologists, blinded to the pathogen test results, assessed the CT scans and classified them as COVID-19 or non-COVID-19 pneumonia. For both groups specific CT features were recorded and a multivariate logistic regression model was used to calculate their ability to predict COVID-19 pneumonia. Results: The radiologists differentiated between COVID-19 and non-COVID-19 pneumonia with an overall accuracy, sensitivity, and specificity of 88% ± 4 (SD), 79% ± 6 (SD), and 90% ± 6 (SD), respectively. The percentage of correct ratings was lower in the early and late stage of COVID-19 pneumonia compared to the progressive and peak stage (68 and 71% vs 85 and 89%). The variables associated with the most increased risk of COVID-19 pneumonia were band like subpleural opacities (OR 5.55, p < 0.001), vascular enlargement (OR 2.63, p = 0.071), and subpleural curvilinear lines (OR 2.52, p = 0.021). Bronchial wall thickening and centrilobular nodules were associated with decreased risk of COVID-19 pneumonia with OR of 0.30 (p = 0.013) and 0.10 (p < 0.001), respectively. Conclusions: Radiologists can differentiate between COVID-19 and non-COVID-19 atypical pneumonias at chest CT with high overall accuracy, although a lower performance was observed in the early and late stage of COVID 19 pneumonia. Specific CT features might help to make the correct diagnosis.