Chest radiograph classification and severity of suspected COVID-19 by different radiologist groups and attending clinicians: multi-reader, multi-case study

Author:

Nair ArjunORCID,Procter Alexander,Halligan Steve,Parry Thomas,Ahmed Asia,Duncan Mark,Taylor Magali,Chouhan Manil,Gaunt Trevor,Roberts James,van Vucht Niels,Campbell Alan,Davis Laura May,Jacob Joseph,Hubbard Rachel,Kumar Shankar,Said Ammaarah,Chan Xinhui,Cutfield Tim,Luintel Akish,Marks Michael,Stone Neil,Mallet Sue

Abstract

Abstract Objectives To quantify reader agreement for the British Society of Thoracic Imaging (BSTI) diagnostic and severity classification for COVID-19 on chest radiographs (CXR), in particular agreement for an indeterminate CXR that could instigate CT imaging, from single and paired images. Methods Twenty readers (four groups of five individuals)—consultant chest (CCR), general consultant (GCR), and specialist registrar (RSR) radiologists, and infectious diseases clinicians (IDR)—assigned BSTI categories and severity in addition to modified Covid-Radiographic Assessment of Lung Edema Score (Covid-RALES), to 305 CXRs (129 paired; 2 time points) from 176 guideline-defined COVID-19 patients. Percentage agreement with a consensus of two chest radiologists was calculated for (1) categorisation to those needing CT (indeterminate) versus those that did not (classic/probable, non-COVID-19); (2) severity; and (3) severity change on paired CXRs using the two scoring systems. Results Agreement with consensus for the indeterminate category was low across all groups (28–37%). Agreement for other BSTI categories was highest for classic/probable for the other three reader groups (66–76%) compared to GCR (49%). Agreement for normal was similar across all radiologists (54–61%) but lower for IDR (31%). Agreement for a severe CXR was lower for GCR (65%), compared to the other three reader groups (84–95%). For all groups, agreement for changes across paired CXRs was modest. Conclusion Agreement for the indeterminate BSTI COVID-19 CXR category is low, and generally moderate for the other BSTI categories and for severity change, suggesting that the test, rather than readers, is limited in utility for both deciding disposition and serial monitoring. Key Points • Across different reader groups, agreement for COVID-19 diagnostic categorisation on CXR varies widely. • Agreement varies to a degree that may render CXR alone ineffective for triage, especially for indeterminate cases. • Agreement for serial CXR change is moderate, limiting utility in guiding management.

Publisher

Springer Science and Business Media LLC

Subject

Radiology, Nuclear Medicine and imaging,General Medicine

Reference21 articles.

1. Nair A, Rodrigues JCL, Hare S et al (2020) A British Society of Thoracic Imaging statement: considerations in designing local imaging diagnostic algorithms for the COVID-19 pandemic. Clin Radiol 75(5):329–334

2. Guan WJ, Zhong NS (2020) Clinical characteristics of Covid-19 in China. Reply N Engl J Med 382(19):1861–1862

3. Wong HYF, Lam HYS, Fong AH et al (2020) Frequency and distribution of chest radiographic findings in patients positive for COVID-19. Radiology. 296(2):E72–EE8

4. Liang W, Liang H, Ou L et al (2020) Development and validation of a clinical risk score to predict the occurrence of critical illness in hospitalized patients with COVID-19. JAMA Intern Med 180(8):1081–1089

5. Public Health England(2020) COVID-19: investigation and initial clinical management of possible cases [updated 12/14/2020. Available from: https://www.gov.uk/government/publications/wuhan-novel-coronavirus-initial-investigation-of-possible-cases/investigation-and-initial-clinical-management-of-possible-cases-of-wuhan-novel-coronavirus-wn-cov-infection. Accessed 23 Dec 2021

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