International Journal of Radiology and Diagnostic Imaging
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International Journal of Radiology and Diagnostic Imaging

2021, Vol. 4, Issue 2, Part B

Can chest CT severity scoring in covid-19 act as proxy to clinical classification of disease
Author(s)
Gour Prajwaleet P, Tiwari Shreeya A and Rajdeo Ravi
Abstract
Purpose: To evaluate chest CT pattern in COVID-19 patients and highlight prognostic utility of CT severity score (CTSS) in grading SARS-CoV-2 disease.
Materials and Methods: From May 15th to August 30th2020, retrospective analysis of RT-PCR confirmed 130 COVID-19 patients was done at a tertiary care center in Central India. From the cohort comprising of 81 males and 49 females, 76.92%, 15.38% and 7.69% had clinically mild, moderate and severe disease respectively. CT SS was calculated based on the extent of lobar involvement (0:0%; 1:< 5%; 2:5–25%; 3:26–50%; 4:51–75%; 5:>75%; range 0–5; total score 0–25) and was compared with clinical disease severity using bivariate and agreement analyses. ROC curve was used to evaluate the role of CTSS as a predictor of patients’ disease severity.
Results: 59 (45.38%) patients were clinically asymptomatic and 38 (29.23%) patients had no parenchymal abnormality. In the radiologically positive group, 77 (83.69%) patients showed typical CT characteristics. Ground-glass opacification was the main CT pattern seen in 71 (77.17%) patients. Parenchymal changes were commonly observed bilaterally (76.08%) involving posterior more than anterior segments (46.73%) with apicobasilar gradient (lower lobes more than upper lobes). CTSS<8, 8-16 and >16 corresponded to mild, moderate and severe disease respectively. The optimal CTSS threshold for identifying moderate-to-severe patients was 8 (area under the ROC curve 0.8718, p<0.001).
Conclusion: Ground-glass opacity is the most common imaging pattern of involvement in COVID-19 pneumonia with predominant bilateral, peripheral, posterior and lower lobar distribution. CTSS can be used as an adjunct to clinical classification to foretell SARS-CoV-2 disease severity.
Pages: 124-131 | Views: 166 | Downloads: 76
How to cite this article:
Gour Prajwaleet P, Tiwari Shreeya A, Rajdeo Ravi. Can chest CT severity scoring in covid-19 act as proxy to clinical classification of disease. Int J Radiol Diagn Imaging 2021;4(2):124-131. DOI: 10.33545/26644436.2021.v4.i2b.208
International Journal of Radiology and Diagnostic Imaging