2021
DOI: 10.1016/j.acra.2021.04.010
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Differentiation of Chest CT Findings Between Influenza Pneumonia and COVID-19: Interobserver Agreement Between Radiologists

Abstract: Objectives To investigate the chest CT and clinical characteristics of COVID-19 pneumonia and H1N1 influenza, and explore the radiologist diagnosis differences between COVID-19 and influenza. Materials and methods This cross-sectional study included a total of 43 COVID-19-confirmed patients (24 men and 19 women, 49.90 ± 18.70 years) and 41 influenza-confirmed patients (17 men and 24 women, 61.53 ± 19.50 years). Afterwards, the chest CT findings were recorded and three r… Show more

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Cited by 13 publications
(6 citation statements)
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“…pleural effusion, post-surgical change). Inter-radiologist disagreement may also contribute to imperfect sensitivity 17 , 18 . The fact that 30% more patients had negative CTs during the Omicron era is strong evidence that at least 30% of these deaths were not caused by COVID-19 pneumonia.…”
Section: Discussionmentioning
confidence: 99%
“…pleural effusion, post-surgical change). Inter-radiologist disagreement may also contribute to imperfect sensitivity 17 , 18 . The fact that 30% more patients had negative CTs during the Omicron era is strong evidence that at least 30% of these deaths were not caused by COVID-19 pneumonia.…”
Section: Discussionmentioning
confidence: 99%
“…Regarding other causes of atypical pneumonia, CT has been well described in the evaluations of other viral pneumonias. [ 32 , 33 ] Various deep learning algorithms have attempted to differentiate between COVID-19 and other viral pneumonias; however, the authors argue that with widespread SARS-CoV-2 testing availability this is less of a concern. [25] Future study should investigate patients who had subsequent cross-sectional imaging during the hospital course and assess for changes in prognostic value.…”
Section: Discussionmentioning
confidence: 99%
“…For the EDS-COVID, we performed a systematic electronic search based on International Classification of Disease, 10th revision (ICD-10) codes to identify patients with an AIRD of interest (list provide in Supplementary Table 1 ). Patients were included if they had confirmed COVID-19 [i.e., positive COVID-19 PCR or serology result or a chest CT-scan interpreted as possible or certain COVID-19 ( 7 )] and a confirmed diagnosis of one of the AIRDs of interest. Patients were excluded if no information was found about the COVID-19 status (i.e., no proof of infection) or any underlying immune disease.…”
Section: Methodsmentioning
confidence: 99%