Comparison of computed tomography texture analysis findings of ground glass opacities detected in coronavirus disease 2019 and other viral pneumonias
Abstract
Aim: To investigate the utility of computed tomography texture analysis (CTTA) findings in differentiating ground glass opacities (GGO) detected in Coronavirus Disease 2019 (COVID-19) and other viral pneumonias.
Methods: 120 patients who underwent thoracic computed tomography (CT) examination for COVID-19 and non-COVID-19 viral pneumonia were included in the study. The heterogeneity of the lung parenchyma was evaluated with CT tissue analysis special software (Olea Medical, France). CTTA included features based on 8 first order intensity and 3 gray level co-occurrence matrix.
Results: Contrast value was higher in COVID-19 GGO (p = 0.006). Mean, median, skewness and inverse difference moment (IDM) values were higher in non-COVID-19 GGO (p values 0, 0.001, 0.021 and 0.006, respectively) mean absolute deviation, variance and contrast values were higher in normal lung parenchyma of COVID-19 patients (p values 0.011, 0.023 and 0.006, respectively). In the ROC analysis of tissue parameters obtained from both GGO and normal lung parenchyma in both groups, the sensitivity values of tissue parameters ranged from 58.3% to 66.7%, while the specificity values ranged from 50% to 66.7%.
Conclusion: Mean, median, skewness and IDM values, which are CTTA parameters, can be used to distinguish COVID-19 and non- COVID-19 viral pneumonias.
Keywords
Covid-19, CT, Texture Analysis, Ground Glass Opacities, Viral Pneumonia
References
- 1. Han R, Huang L, Jiang H, et al. Early Clinical and CT Manifestations of Coronavirus Disease 2019 (COVID-19) Pneumonia. AJR Am J Roentgenol. 2020;215:338-43.
- 2. Chen N, Zhou M, Dong X, et al. Epidemiological and clinical characteristics of 99 cases of 2019 novel coronavirus pneumonia in Wuhan, China: a descriptive study. Lancet. 2020;395:507-13.
- 3. Song F, Shi N, Shan F, et al. Emerging 2019 Novel Coronavirus (2019-nCoV) Pneumonia. Radiology. 2020;295:210-7.
- 4. Rubin EJ, Baden LR, Morrissey S, Campion EW. Medical Journals and the 2019-nCoV Outbreak. N Engl J Med. 2020;382:866.
- 5. Loeffelholz MJ, Tang YW. Laboratory diagnosis of emerging human coronavirus infections - the state of the art. Emerg Microbes Infect. 2020;9:747-56.
- 6. Chung M, Bernheim A, Mei X, et al. CT Imaging Features of 2019 Novel Coronavirus (2019-nCoV). Radiology. 2020;295:202-7.
- 7. Shi H, Han X, Zheng C. Evolution of CT Manifestations in a Patient Recovered from 2019 Novel Coronavirus (2019-nCoV) Pneumonia in Wuhan, China. Radiology. 2020;295:20.
- 8. Lubner MG, Smith AD, Sandrasegaran K, Sahani DV, Pickhardt PJ. CT Texture Analysis: Definitions, Applications, Biologic Correlates, and Challenges. Radiographics. 2017;37:1483-503.
- 9. Park YS, Seo JB, Kim N, et al. Texture-based quantification of pulmonary emphysema on high-resolution computed tomography: comparison with density-based quantification and correlation with pulmonary function test. Invest Radiol. 2008;43:395-402.
- 10. Digumarthy SR, Padole AM, Lo Gullo R, et al. CT texture analysis of histologically proven benign and malignant lung lesions. Medicine (Baltimore). 2018;97.