Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2020 Sep 10;2(5):e200276.
doi: 10.1148/ryct.2020200276. eCollection 2020 Oct.

Implementation of the Radiological Society of North America Expert Consensus Guidelines on Reporting Chest CT Findings Related to COVID-19: A Multireader Performance Study

Affiliations

Implementation of the Radiological Society of North America Expert Consensus Guidelines on Reporting Chest CT Findings Related to COVID-19: A Multireader Performance Study

Avik Som et al. Radiol Cardiothorac Imaging. .

Abstract

Background: RSNA expert consensus guidelines provide a framework for reporting CT findings related to COVID-19, but have had limited multireader validation.

Purpose: To assess the performance of the RSNA guidelines and quantify interobserver variability in application of the guidelines in patients undergoing chest CT for suspected COVID-19 pneumonia.

Materials and methods: A retrospective search from 1/15/20 to 3/30/20 identified 89 consecutive CT scans whose radiological report mentioned COVID-19. One positive or two negative RT-PCR tests for COVID-19 were considered the gold standard for diagnosis. Each chest CT scan was evaluated using RSNA guidelines by 9 readers (6 fellowship trained thoracic radiologists and 3 radiology resident trainees). Clinical information was obtained from the electronic medical record.

Results: There was strong concordance of findings between radiology training levels with agreement ranging from 60 to 86% among attendings and trainees (kappa 0.43 to 0.86). Sensitivity and specificity of "typical" CT findings for COVID-19 per the RSNA guidelines were on average 86% (range 72%-94%) and 80.2% (range 75-93%), respectively. Combined "typical" and "indeterminate" findings had a sensitivity of 97.5% (range 94-100%) and specificity of 54.7% (range 37-62%). A total of 163 disagreements were seen out of 801 observations (79.6% total agreement). Uncertainty in classification primarily derived from difficulty in ascertaining peripheral distribution, multiple dominant disease processes, or minimal disease.

Conclusion: The "typical appearance" category for COVID-19 CT reporting has an average sensitivity of 86% and specificity rate of 80%. There is reasonable interreader agreement and good reproducibility across various levels of experience.

PubMed Disclaimer

Conflict of interest statement

Conflict of Interests and Disclosures: Dr. Little is a textbook author and editor for Elsevier and receives royalties for his prior work. Dr. Flores reports grant funding from the American College of Radiology Innovation Fund and the National Cancer Institute Research Diversity Supplement for work not related to this manuscript.

Figures

Examples of cases assigned the same RSNA consensus COVID-19 category by all readers.A) “Typical” category assigned to CT of 53-year-old man with COVID-19 pneumonia who presented after 2 weeks of cough, congestion, and fevers. Axial CT image shows multiple ground glass opacities with a peripheral predominance bilaterally, many with a round morphology.B) “Indeterminate” category assigned to CT of 82-year-old woman who presented with fever, exertional dyspnea, palpitations, and chest pain, with 2 PCRs negative for SARS-CoV-2. Axial CT image shows a small amount of ground glass opacity with a central predominance in the perihilar regions bilaterally.C) “Atypical” category assigned to CT of a 79-year-old woman who presented with fever, productive cough, dyspnea, and hypoxemia; 2 PCRs were negative for SARS-CoV-2. Axial CT image shows tree-in-bud nodules and consolidation in the lower lobes bilaterally, a pattern suggesting aspiration/pneumonia.D) “Negative for pneumonia” category assigned to CT of a 30-year-old woman who presented with one week of dry cough, sore throat, and severe fatigue; 2 PCRs were negative for SARS-CoV-2. Axial CT image shows a normal appearance of the lungs. Final diagnosis of symptoms was attributed to recurrent rheumatic myopericarditis within the context of her history of juvenile rheumatoid arthritis.
Figure 1.
Examples of cases assigned the same RSNA consensus COVID-19 category by all readers. A) “Typical” category assigned to CT of 53-year-old man with COVID-19 pneumonia who presented after 2 weeks of cough, congestion, and fevers. Axial CT image shows multiple ground glass opacities with a peripheral predominance bilaterally, many with a round morphology. B) “Indeterminate” category assigned to CT of 82-year-old woman who presented with fever, exertional dyspnea, palpitations, and chest pain, with 2 PCRs negative for SARS-CoV-2. Axial CT image shows a small amount of ground glass opacity with a central predominance in the perihilar regions bilaterally. C) “Atypical” category assigned to CT of a 79-year-old woman who presented with fever, productive cough, dyspnea, and hypoxemia; 2 PCRs were negative for SARS-CoV-2. Axial CT image shows tree-in-bud nodules and consolidation in the lower lobes bilaterally, a pattern suggesting aspiration/pneumonia. D) “Negative for pneumonia” category assigned to CT of a 30-year-old woman who presented with one week of dry cough, sore throat, and severe fatigue; 2 PCRs were negative for SARS-CoV-2. Axial CT image shows a normal appearance of the lungs. Final diagnosis of symptoms was attributed to recurrent rheumatic myopericarditis within the context of her history of juvenile rheumatoid arthritis.
Reasoning for Atypical/Indeterminate RSNA Score Among Attendings & Trainees. a) Distribution of scores among different readers. b) Percentage of cases with particular reasons for being assigned a category of indeterminate or atypical.
Figure 2.
Reasoning for Atypical/Indeterminate RSNA Score Among Attendings & Trainees. a) Distribution of scores among different readers. b) Percentage of cases with particular reasons for being assigned a category of indeterminate or atypical.
Examples of cases for which there was significant disagreement in assignment of RSNA consensus COVID-19 category.A) 67-year-old man with clinical signs of pneumonia and 4 negative PCRs for COVID-19 with sputum samples positive for streptococcus pneumoniae. Axial CT image shows a combination of tree-in-bud centrilobular nodules in the lower lobes and peripheral ground glass opacity and consolidation in the left lower lobe. Categories 3, 2, and 1 were assigned by 4, 3, and 2 readers respectively.B) year-old man with 2 negative PCR results for SARS-CoV-2 and presumed aspiration or non-23-COVID-19 infection. Axial CT image shows minimal patchy ground glass opacities in the left lower lobe; there was a question of atelectasis or subtle peripheral ground glass opacity in the posterior right lower lobe. Categories 3, 2, 1, and 0 were assigned by 1, 6, 1, and 1 readers respectively.C) 64-year-old woman with PCR-proven COVID-19 pneumonia who presented with fever, productive cough, fatigue, and anosmia. Axial CT image shows patchy ground glass opacities in the lingula and a small amount of peripheral ground glass opacity and atelectasis in the posterior lower lobes. Categories 3, 2, 1, and 0 were assigned by 4, 3, 1, and 1 readers respectively. Reasons given by readers for uncertainty included doubts about peripheral distribution, and difficulty in classification in the setting of minimal disease and posterior atelectasis.D) 65-year-old woman with PCR-proven COVID-19 pneumonia who presented with palpitations, back pain, and low-grade fevers. Axial CT image shows patchy ground glass opacities bilaterally. Categories 3 and 2 were assigned by 5 and 4 readers respectively. Reasons given by readers for uncertainty included difficulty in classifying as peripheral or diffuse and questionable morphology of the ground glass opacities.
Figure 3.
Examples of cases for which there was significant disagreement in assignment of RSNA consensus COVID-19 category. A) 67-year-old man with clinical signs of pneumonia and 4 negative PCRs for COVID-19 with sputum samples positive for streptococcus pneumoniae. Axial CT image shows a combination of tree-in-bud centrilobular nodules in the lower lobes and peripheral ground glass opacity and consolidation in the left lower lobe. Categories 3, 2, and 1 were assigned by 4, 3, and 2 readers respectively. B) 23-year-old man with 2 negative PCR results for SARS-CoV-2 and presumed aspiration or non-23-COVID-19 infection. Axial CT image shows minimal patchy ground glass opacities in the left lower lobe; there was a question of atelectasis or subtle peripheral ground glass opacity in the posterior right lower lobe. Categories 3, 2, 1, and 0 were assigned by 1, 6, 1, and 1 readers respectively. C) 64-year-old woman with PCR-proven COVID-19 pneumonia who presented with fever, productive cough, fatigue, and anosmia. Axial CT image shows patchy ground glass opacities in the lingula and a small amount of peripheral ground glass opacity and atelectasis in the posterior lower lobes. Categories 3, 2, 1, and 0 were assigned by 4, 3, 1, and 1 readers respectively. Reasons given by readers for uncertainty included doubts about peripheral distribution, and difficulty in classification in the setting of minimal disease and posterior atelectasis. D) 65-year-old woman with PCR-proven COVID-19 pneumonia who presented with palpitations, back pain, and low-grade fevers. Axial CT image shows patchy ground glass opacities bilaterally. Categories 3 and 2 were assigned by 5 and 4 readers respectively. Reasons given by readers for uncertainty included difficulty in classifying as peripheral or diffuse and questionable morphology of the ground glass opacities.
Uncertainty Among Attending & Trainees: a) Reasons for uncertainty among cases as a percentage of all cases reviewed. OP- organizing pneumonia b) Average certainty scores between attendings and trainees. c) Histogram of number of readers with scores discrepant from attending consensus. d) Average certainty score by RSNA categorization, * indicates statistical significance,- p<.05 (2-tailed t-test)
Figure 4.
Uncertainty Among Attending & Trainees: a) Reasons for uncertainty among cases as a percentage of all cases reviewed. OP- organizing pneumonia b) Average certainty scores between attendings and trainees. c) Histogram of number of readers with scores discrepant from attending consensus. d) Average certainty score by RSNA categorization, * indicates statistical significance,- p<.05 (2-tailed t-test)

Similar articles

Cited by

References

    1. Salehi S, Abedi A, Balakrishnan S, Gholamrezanezhad A. Coronavirus Disease 2019 (COVID-19): A Systematic Review of Imaging Findings in 919 Patients. American Journal of Roentgenology. American Roentgen Ray Society; 2020;1–7. - PubMed
    1. Wang Y, Dong C, Hu Y, et al. . Temporal Changes of CT Findings in 90 Patients with COVID-19 Pneumonia: A Longitudinal Study. Radiology. 2020; - PMC - PubMed
    1. Shi H, Han X, Jiang N, et al. . Radiological findings from 81 patients with COVID-19 pneumonia in Wuhan, China: a descriptive study. The Lancet Infectious Diseases. Lancet Publishing Group; 2020;20(4):425–434. - PMC - PubMed
    1. Bai HX, Hsieh B, Xiong Z, et al. . Performance of radiologists in differentiating COVID-19 from viral pneumonia on chest CT. Radiology. 2020; - PMC - PubMed
    1. Chung M, Bernheim A, Mei X, et al. . CT imaging features of 2019 novel coronavirus (2019-NCoV). Radiology. Radiological Society of North America Inc.; 2020;295(1):202–207. - PMC - PubMed

LinkOut - more resources