COVID-19 pneumonia: CT findings of 122 patients and differentiation from influenza pneumonia

Mengqi Liu, Wenbin Zeng, Yun Wen, Yineng Zheng, Fajin Lv, Kaihu Xiao, Mengqi Liu, Wenbin Zeng, Yun Wen, Yineng Zheng, Fajin Lv, Kaihu Xiao

Abstract

Objectives: To investigate the clinical and chest CT characteristics of COVID-19 pneumonia and explore the radiological differences between COVID-19 and influenza.

Materials and methods: A total of 122 patients (61 men and 61 women, 48 ± 15 years) confirmed with COVID-19 and 48 patients (23 men and 25 women, 47 ± 19 years) confirmed with influenza were enrolled in the study. Thin-section CT was performed. The clinical data and the chest CT findings were recorded.

Results: The most common symptoms of COVID-19 were fever (74%) and cough (63%), and 102 patients (83%) had Wuhan contact. Pneumonia in 50 patients with COVID-19 (45%) distributed in the peripheral regions of the lung, while it showed mixed distribution in 26 patients (74%) with influenza (p = 0.022). The most common CT features of the COVID-19 group were pure ground-glass opacities (GGO, 36%), GGO with consolidation (51%), rounded opacities (35%), linear opacities (64%), bronchiolar wall thickening (49%), and interlobular septal thickening (66%). Compared with the influenza group, the COVID-19 group was more likely to have rounded opacities (35% vs. 17%, p = 0.048) and interlobular septal thickening (66% vs. 43%, p = 0.014), but less likely to have nodules (28% vs. 71%, p < 0.001), tree-in-bud sign (9% vs. 40%, p < 0.001), and pleural effusion (6% vs. 31%, p < 0.001).

Conclusions: There are significant differences in the CT manifestations of patients with COVID-19 and influenza. Presence of rounded opacities and interlobular septal thickening, with the absence of nodules and tree-in-bud sign, and with the typical peripheral distribution, may help us differentiate COVID-19 from influenza.

Key points: • Typical CT features of COVID-19 include pure ground-glass opacities (GGO), GGO with consolidation, rounded opacities, bronchiolar wall thickening, interlobular septal thickening, and a peripheral distribution. • Presence of rounded opacities and interlobular septal thickening, with the absence of nodules and tree-in-bud sign, and with the typical peripheral distribution, may help us differentiate COVID-19 from influenza.

Keywords: Coronavirus infections; Human; Influenza; Pneumonia, viral; Tomography, x-ray computed.

Conflict of interest statement

The authors of this manuscript declare no relationships with any companies, whose products or services may be related to the subject matter of the article.

Figures

Fig. 1
Fig. 1
Flow diagram of the study
Fig. 2
Fig. 2
CT features of COVID-19-related pneumonia. a Ground-glass opacities with a peripheral distribution. b Ground-glass opacities with consolidation. c Rounded GGO. d Interlobular septal thickening. e Bronchiolar wall thickening (arrow). f Nodule (arrow). g Crazy paving pattern. h Halo sign (arrow)
Fig. 3
Fig. 3
Most common CT features of influenza pneumonia. a Ground-glass opacities with consolidation with a peripheral distribution. b Consolidation without ground-glass opacities. c Multiple nodules and tree-in-bud sign (arrow)

References

    1. World Health Organization. Coronavirus disease 2019 (COVID-19) Situation Report – 72. . Accessed 1 Apr 2020
    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. doi: 10.1016/S0140-6736(20)30154-9.
    1. Lu CW, Liu XF, Jia ZF. 2019-nCoV transmission through the ocular surface must not be ignored. Lancet. 2020;395(10224):e39. doi: 10.1016/S0140-6736(20)30313-5.
    1. Xie X, Zhong Z, Zhao W, Zheng C, Wang F, Liu J (2020) Chest CT for typical 2019-nCoV pneumonia: relationship to negative RT-PCR testing. Radiology. 10.1148/radiol.2020200343
    1. Ai T, Yang Z, Hou H et al (2020) Correlation of chest CT and RT-PCR testing in coronavirus disease 2019 (COVID-19) in China: a report of 1014 cases. Radiology. 10.1148/radiol.2020200642
    1. Pan Y, Guan H (2020) Imaging changes in patients with 2019-nCov. Eur Radiol. 10.1007/s00330-020-06713-z
    1. Chung M, Bernheim A, Mei X et al (2020) CT imaging features of 2019 novel coronavirus (2019-nCoV). Radiology. 10.1148/radiol.2020200230
    1. Bai HX, Hsieh B, Xiong Z et al (2020) Performance of radiologists in differentiating COVID-19 from viral pneumonia on chest CT. Radiology. 10.1148/radiol.2020200823
    1. Kim MC, Kim MY, Lee HJ, et al. CT findings in viral lower respiratory tract infections caused by parainfluenza virus, influenza virus and respiratory syncytial virus. Medicine (Baltimore) 2016;95:e4003. doi: 10.1097/MD.0000000000004003.
    1. Yang Y, Yang M, Shen C et al (2020) Evaluating the accuracy of different respiratory specimens in the laboratory diagnosis and monitoring the viral shedding of 2019-nCoV infections. medRxiv. . Accessed 17 Feb 2020
    1. Fang Y, Zhang H, Xie J et al (2020) Sensitivity of chest CT for COVID-19: comparison to RT-PCR. Radiology. 10.1148/radiol.2020200432
    1. Zhao W, Zhong Z, Xie X, Yu Q, Liu J. Relation between chest CT findings and clinical conditions of coronavirus disease (COVID-19) pneumonia: a multicenter study. AJR Am J Roentgenol. 2020;3:1–6.
    1. Pan Y, Guan H, Zhou S et al (2020) Initial CT findings and temporal changes in patients with the novel coronavirus pneumonia (2019-nCoV): a study of 63 patients in Wuhan, China. Eur Radiol. 10.1007/s00330-020-06731-x
    1. Song F, Shi N, Shan F et al (2020) Emerging coronavirus 2019-nCoV pneumonia. Radiology. 10.1148/radiol.2020200274
    1. Lei J, Li J, Li X, Qi X (2020) CT imaging of the 2019 novel coronavirus (2019-nCoV) pneumonia. Radiology. 10.1148/radiol.2020200236
    1. Shi H, Han X, Zheng C (2020) Evolution of CT manifestations in a patient recovered from 2019 novel coronavirus (2019-nCoV) pneumonia in Wuhan, China. Radiology. 10.1148/radiol.2020200269
    1. Koo HJ, Lim S, Choe J, Choi SH, Sung H, Do KH. Radiographic and CT features of viral pneumonia. Radiographics. 2018;38:719–739. doi: 10.1148/rg.2018170048.
    1. Li K, Wu J, Wu F et al (2020) The clinical and chest CT features associated with severe and critical COVID-19 pneumonia. Invest Radiol. 10.1097/RLI.0000000000000672
    1. Wu J, Wu X, Zeng W et al (2020) Chest CT findings in patients with Corona virus disease 2019 and its relationship with clinical features. Invest Radiol. 10.1097/RLI.0000000000000670
    1. Zu ZY, Jiang MD, Xu PP et al (2020) Coronavirus disease 2019 (COVID-19): a perspective from China. Radiology. 10.1148/radiol.2020200490
    1. Pan F, Ye T, Sun P et al (2020) Time course of lung changes on chest CT during recovery from 2019 novel coronavirus (COVID-19) pneumonia. Radiology. 10.1148/radiol.2020200370
    1. Franquet T. Imaging of pulmonary viral pneumonia. Radiology. 2011;260:18–39. doi: 10.1148/radiol.11092149.
    1. Franquet T, Muller NL, Gimenez A, Martinez S, Madrid M, Domingo P. Infectious pulmonary nodules in immunocompromised patients: usefulness of computed tomography in predicting their etiology. J Comput Assist Tomogr. 2003;27:461–468. doi: 10.1097/00004728-200307000-00001.
    1. Shi H, Han X, Jiang N et al (2020) Radiological findings from 81 patients with COVID-19 pneumonia in Wuhan, China: a descriptive study. Lancet Infect Dis. 10.1016/S1473-3099(20)30086-4
    1. Bernheim A, Mei X, Huang M et al (2020) Chest CT findings in coronavirus Disease-19 (COVID-19): relationship to duration of infection. Radiology. 10.1148/radiol.2020200463

Source: PubMed

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