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 Mar 30;2(2):e200047.
doi: 10.1148/ryct.2020200047. eCollection 2020 Apr.

Chest CT Severity Score: An Imaging Tool for Assessing Severe COVID-19

Affiliations

Chest CT Severity Score: An Imaging Tool for Assessing Severe COVID-19

Ran Yang et al. Radiol Cardiothorac Imaging. .

Abstract

Purpose: To evaluate the value of chest CT severity score (CT-SS) in differentiating clinical forms of coronavirus disease 2019 (COVID-19).

Materials and methods: A total of 102 patients with COVID-19 confirmed by a positive result from real-time reverse transcription polymerase chain reaction on throat swabs who underwent chest CT (53 men and 49 women, 15-79 years old, 84 cases with mild and 18 cases with severe disease) were included in the study. The CT-SS was defined by summing up individual scores from 20 lung regions; scores of 0, 1, and 2 were respectively assigned for each region if parenchymal opacification involved 0%, less than 50%, or equal to or more than 50% of each region (theoretic range of CT-SS from 0 to 40). The clinical and laboratory data were collected, and patients were clinically subdivided according to disease severity according to the Chinese National Health Commission guidelines.

Results: The posterior segment of upper lobe (left, 68 of 102; right, 68 of 102), superior segment of lower lobe (left, 79 of 102; right, 79 of 102), lateral basal segment (left, 79 of 102; right, 70 of 102), and posterior basal segment of lower lobe (left, 81 of 102; right, 83 of 102) were the most frequently involved sites in COVID-19. Lung opacification mainly involved the lower lobes, in comparison with middle-upper lobes. No significant differences in distribution of the disease were seen between right and left lungs. The individual scores in each lung and the total CT-SS were higher in severe COVID-19 when compared with mild cases (P < .05). The optimal CT-SS threshold for identifying severe COVID-19 was 19.5 (area under curve = 0.892), with 83.3% sensitivity and 94% specificity.

Conclusion: The CT-SS could be used to evaluate the severity of pulmonary involvement quickly and objectively in patients with COVID-19.© RSNA, 2020.

PubMed Disclaimer

Conflict of interest statement

Disclosures of Conflicts of Interest: R.Y. disclosed no relevant relationships. X.L. disclosed no relevant relationships. H.L. disclosed no relevant relationships. Y.Z. disclosed no relevant relationships. X.Z. disclosed no relevant relationships. Q.X. disclosed no relevant relationships. Y.L. disclosed no relevant relationships. C.G. disclosed no relevant relationships. W.Z. disclosed no relevant relationships.

Figures

Number of patients involved in each lung segment.
Figure 1:
Number of patients involved in each lung segment.
A-C, Noncontrast chest CT images in a 46-year-old woman with mild COVID-19 pneumonia. CT images show ground-glass opacities in the posterior segment of right upper lobe, superior segment of bilateral lungs, and posterior basal segment of right left lobe, and the CT-SS is 4. D-F, Noncontrast chest CT images in a 20-year-old man with mild COVID-19 pneumonia. CT images show ground-glass opacities and consolidation in multiple lung segments, and the CT-SS is 7.
Figure 2:
A-C, Noncontrast chest CT images in a 46-year-old woman with mild COVID-19 pneumonia. CT images show ground-glass opacities in the posterior segment of right upper lobe, superior segment of bilateral lungs, and posterior basal segment of right left lobe, and the CT-SS is 4. D-F, Noncontrast chest CT images in a 20-year-old man with mild COVID-19 pneumonia. CT images show ground-glass opacities and consolidation in multiple lung segments, and the CT-SS is 7.
A-C, Noncontrast chest CT images in a 56-year-old man with severe COVID-19 pneumonia. CT images show multiple ground-glass opacities in multiple lung segments, and the CT-SS is 28. D-F, Noncontrast chest CT images in a 69-year-old man with severe COVID-19 pneumonia. CT images show multiple ground-glass opacities and septal thickening; the imaging manifestation is the so-called white lungs; the CT-SS is 35.
Figure 3:
A-C, Noncontrast chest CT images in a 56-year-old man with severe COVID-19 pneumonia. CT images show multiple ground-glass opacities in multiple lung segments, and the CT-SS is 28. D-F, Noncontrast chest CT images in a 69-year-old man with severe COVID-19 pneumonia. CT images show multiple ground-glass opacities and septal thickening; the imaging manifestation is the so-called white lungs; the CT-SS is 35.
ROC curve for CT-SS.
Figure 4:
ROC curve for CT-SS.

References

    1. Gorbalenya AE, Baker SC, Baric RS, et al. . Severe acute respiratory syndrome-related coronavirus: The species and its viruses – a statement of the Coronavirus Study Group. bioRxiv [preprint] https://www.biorxiv.org/content/10.1101/2020.02.07.937862v1. - DOI
    1. World Health Organization. Novel coronavirus – China. Feb 11, 2020. https://www.who.int/docs/default-source/coronaviruse/situation-reports/2....
    1. Zhu N, Zhang D, Wang W, et al. . A Novel Coronavirus from patients with pneumonia in China, 2019. N Engl J Med 2020;382(8):727–733. - PMC - PubMed
    1. Zhou P, Yang XL, Wang XG, et al. . Discovery of a novel coronavirus associated with the recent pneumonia outbreak in humans and its potential bat origin. bioRxiv [preprint]. https://www.biorxiv.org/content/10.1101/2020.01.22.914952v2. - DOI
    1. Chan JF, Yuan S, Kok KH, et al. . A familial cluster of pneumonia associated with the 2019 novel coronavirus indicating person-to-person transmission: a study of a family cluster. Lancet 2020;395(10223):514–523. - PMC - PubMed

LinkOut - more resources