| Peer-Reviewed

Imaging Features of COVID-19: A Review Article

Received: 9 October 2020     Accepted: 23 October 2020     Published: 23 November 2020
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Abstract

Background: COVID-19, which is predominantly transmitted by contact between people, turns out to be a public health emergency of international concern and it lacks specificity in both clinical manifestations and laboratory tests. It mainly causes inflammatory lesions in the lungs and can also cause injury to other major organs. Imaging methods have an important role in the diagnosis and evaluation of treatment strategies for COVID-19. Computed tomography plays an important role in the diagnosis and evaluation of the severity in compliment with the RT-PCR test. Comprehensive analysis of the patient's epidemiological history, clinical symptoms, laboratory test and imaging manifestations are necessary in order to early detection, early isolation, and early management. Objective: The purpose of this review was to summarize the radiographic, CT patterns and ultrasonographic features of COVID-19 pneumonia in order to help health professionals for reliable basis for early diagnosis and management of COVID-19. Methods: The literature search for this document was carried out comprehensively by accessing PubMed, Google scholar, Web-of-Science and other data bases. In addition helpful documents were added. Result and conclusion: The most common CT features of COVID-19 are peripherally distributed ground glass opacities, crazy paving pattern and patchy consolidation. Lung ultrasound has a key role in the clinical management of patients with COVID-19 associated lung injury.

Published in American Journal of Clinical and Experimental Medicine (Volume 8, Issue 5)
DOI 10.11648/j.ajcem.20200805.13
Page(s) 90-94
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2020. Published by Science Publishing Group

Keywords

COVID-19, Chest CT, Chest X-ray

References
[1] World Health Organization. Coronavirus disease 2019 (‎‎‎COVID-19)‎‎‎: situation report, 52. World Health Organization (‎2020)‎. https: //apps.who.int/iris/handle/10665/331476.
[2] Chan JF, Yuan S, Kok KH, To KK, Chu H, Yang J, Xing F, Liu J, Yip CC, Poon RW, Tsoi HW. A familial cluster of pneumonia associated with the 2019 novel coronavirus indicating person-to-person transmission: a study of a family cluster. The Lancet. 2020 Feb 15; 395 (10223): 514-23.
[3] Chen N, Zhou M, Dong X, Qu J, Gong F, Han Y, Qiu Y, Wang J, Liu Y, Wei Y, Yu T. Epidemiological and clinical characteristics of 99 cases of 2019 novel coronavirus pneumonia in Wuhan, China: a descriptive study. The Lancet. 2020 Feb 15; 395 (10223): 507-13.
[4] Corman VM, Landt O, Kaiser M, Molenkamp R, Meijer A, Chu DK, Bleicker T, Brünink S, Schneider J, Schmidt ML, Mulders DG. Detection of 2019 novel coronavirus (2019-nCoV) by real-time RT-PCR. Eurosurveillance. 2020 Jan 23; 25 (3): 2000045.
[5] Li G, Fan Y, Lai Y, Han T, Li Z, Zhou P, Pan P, Wang W, Hu D, Liu X, Zhang Q. Coronavirus infections and immune responses. Journal of medical virology. 2020 Apr; 92 (4): 424-32.
[6] Liu KC, Xu P, Lv WF, Qiu XH, Yao JL, Jin-Feng G. CT manifestations of coronavirus disease-2019: a retrospective analysis of 73 cases by disease severity. European journal of radiology. 2020 Mar 12: 108941.
[7] Chung M, Bernheim A, Mei X, Zhang N, Huang M, Zeng X, Cui J, Xu W, Yang Y, Fayad ZA, Jacobi A. CT imaging features of 2019 novel coronavirus (2019-nCoV). Radiology. 2020 Apr; 295 (1): 202-7.
[8] W. Kong, P. P. Agarwal, Chest imaging appearance of COVID-19 infection, Radiology: Cardiothoracic Imaging. (2020) e200028.
[9] Koo HJ, Lim S, Choe J, Choi SH, Sung H, Do KH. Radiographic and CT features of viral pneumonia. Radiographics. 2018 May; 38 (3): 719-39.
[10] Ng MY, Lee EY, Yang J, Yang F, Li X, Wang H, Lui MM, Lo CS, Leung B, Khong PL, Hui CK. Imaging profile of the COVID-19 infection: radiologic findings and literature review. Radiology: Cardiothoracic Imaging. 2020 Feb 13; 2 (1): e200034.
[11] Guan WJ, Ni ZY, Hu Y, Liang WH, Ou CQ, He JX, Liu L, Shan H, Lei CL, Hui DS, Du B. Clinical characteristics of coronavirus disease 2019 in China. New England journal of medicine. 2020 Apr 30; 382 (18): 1708-20.
[12] Huang C, Wang Y, Li X, Ren L, Zhao J, Hu Y, Zhang L, Fan G, Xu J, Gu X, Cheng Z. Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China. The lancet. 2020 Feb 15; 395 (10223): 497-506.
[13] Tian S, Xiong Y, Liu H, Niu L, Guo J, Liao M. Pathological study of the 2019 novel coronavirus disease (COVID-19) through postmortem core biopsies. Mod Pathol 2020.
[14] Xu XW, Wu XX, Jiang XG, Xu KJ, Ying LJ, Ma CL, Li SB, Wang HY, Zhang S, Gao HN, Sheng JF. Clinical findings in a group of patients infected with the 2019 novel coronavirus (SARS-Cov-2) outside of Wuhan, China: retrospective case series. bmj. 2020 Feb 19; 368.
[15] Yang X, Yu Y, Xu J, Shu H, Liu H, Wu Y, Zhang L, Yu Z, Fang M, Yu T, Wang Y. Clinical course and outcomes of critically ill patients with SARS-CoV-2 pneumonia in Wuhan, China: a single-centered, retrospective, observational study. The Lancet Respiratory Medicine. 2020 Feb 24.
[16] 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. 2020 Mar 14: 1-7.
[17] Wong HYF, Lam HYS, Fong AH etal Frequency and distribution of chest radiographic findings in COVID-19 positive patients Radiology 2020.
[18] Zu ZY, Jiang MD, Xu PP, Chen W, Ni QQ, Lu GM, Zhang LJ. Coronavirus disease 2019 (COVID-19): a perspective from China. Radiology. 2020 Feb 21: 200490.
[19] Fatima S, Ratnani I, Husain M, Surani S. Radiological Findings in Patients with COVID-19. Cureus. 2020 Apr; 12 (4).
[20] Ren LL, Wang YM, Wu ZQ, Xiang ZC, Guo L, Xu T, Jiang YZ, Xiong Y, Li YJ, Li XW, Li H. Identification of a novel coronavirus causing severe pneumonia in human: a descriptive study. Chinese medical journal. 2020 Feb 11.
[21] Wu J, Wu X, Zeng W, Guo D, Fang Z, Chen L, Huang H, Li C. Chest CT findings in patients with coronavirus disease 2019 and its relationship with clinical features. Investigative radiology. 2020 May 1; 55 (5): 257-61.
[22] Kanne JP. Chest CT findings in 2019 novel coronavirus (2019-nCoV) infections from Wuhan, China: key points for the radiologist.
[23] Pan Y, Guan H, Zhou S, Wang Y, Li Q, Zhu T, Hu Q, Xia L. Initial CT findings and temporal changes in patients with the novel coronavirus pneumonia (2019-nCoV): a study of 63 patients in Wuhan, China. European radiology. 2020 Feb 13: 1-4.
[24] Xiong Y, Sun D, Liu Y, Fan Y, Zhao L, Li X, Zhu W. Clinical and high-resolution CT features of the COVID-19 infection: comparison of the initial and follow-up changes. Investigative radiology. 2020.
[25] Hansell DM, Bankier AA, MacMahon H, McLoud TC, Muller NL, Remy J. Fleischner Society: glossary of terms for thoracic imaging. Radiology. 2008 Mar; 246 (3): 697-722.
[26] Pan F, Ye T, Sun P, Gui S, Liang B, Li L, Zheng D, Wang J, Hesketh RL, Yang L, Zheng C. Time course of lung changes on chest CT during recovery from 2019 novel coronavirus (COVID-19) pneumonia. Radiology. 2020 Feb 13: 200370.
[27] Yuan M, Yin W, Tao Z, Tan W, Hu Y. Association of radiologic findings with mortality of patients infected with 2019 novel coronavirus in Wuhan, China. Plos one. 2020 Mar 19; 15 (3): e0230548.
[28] Yoon SH, Lee KH, Kim JY, Lee YK, Ko H, Kim KH, Park CM, Kim YH. Chest radiographic and CT findings of the 2019 novel coronavirus disease (COVID-19): analysis of nine patients treated in Korea. Korean journal of radiology. 2020 Apr 1; 21 (4): 494-500.
[29] Webb WR. Thin-section CT of the secondary pulmonary lobule: anatomy and the image the 2004 Fleischner lecture. Radiology. 2006 May; 239 (2): 322-38.
[30] Yang Q, Liu Q, Xu H, Lu H, Liu S, Li H. Imaging of coronavirus disease 2019: A Chinese expert consensus statement. European Journal of Radiology. 2020 Apr 18: 109008.
[31] Huang P, Liu T, Huang L, Liu H, Lei M, Xu W, Hu X, Chen J, Liu B. Use of chest CT in combination with negative RT-PCR assay for the 2019 novel coronavirus but high clinical suspicion. Radiology. 2020 Apr; 295 (1): 22-3.
[32] Duan YN, Qin J. Pre-and posttreatment chest CT findings: 2019 novel coronavirus (2019-nCoV) pneumonia. Radiology. 2020 Apr; 295 (1): 21.
[33] Guan CS, Lv ZB, Yan S, Du YN, Chen H, Wei LG, Xie RM, Chen BD. Imaging features of coronavirus disease 2019 (COVID-19): evaluation on thin-section CT. Academic radiology. 2020 Mar 20.
[34] Li HJ, Liu SY, Xu HB, Cheng JL. Guideline for medical imaging in auxiliary diagnosis of coronavirus disease 2019. Chin J Med Imaging Technol. 2020; 36 (3): 321-31.
[35] Soldati G, Smargiassi A, Inchingolo R, Buonsenso D, Perrone T, Briganti DF, Perlini S, Torri E, Mariani A, Mossolani EE, Tursi F. Is there a role for lung ultrasound during the COVID‐19 pandemic?. Journal of Ultrasound in Medicine. 2020 Mar 20.
[36] Smith MJ, Hayward SA, Innes SM, Miller AS. Point‐of‐care lung ultrasound in patients with COVID‐19–a narrative review. Anaesthesia. 2020 Apr 10.
[37] Volpicelli G, Gargani L. Sonographic signs and patterns of COVID-19 pneumonia. The Ultrasound Journal. 2020 Dec; 12 (1): 1-3.
[38] Peng QY, Wang XT, Zhang LN, Chinese Critical Care Ultrasound Study Group. Findings of lung ultrasonography of novel corona virus pneumonia during the 2019–2020 epidemic. Intensive care medicine. 2020 Mar 12: 1.
[39] Lichtenstein DA, Meziere GA. Relevance of lung ultrasound in the diagnosis of acute respiratory failure*: the BLUE protocol. Chest. 2008 Jul 1; 134 (1): 117-25.
[40] Yi Huang, Sihan Wang, Yue Liu et al. A preliminary study on the ultrasonic manifestations  of peripulmonary lesions of non-critical novel coronavirus pneumonia (COVID-19) & nbsp; 26 February 2020, PREPRINT.
[41] Jackson K, Butler R, Aujayeb A. Lung ultrasound in the COVID-19 pandemic. Postgraduate medical journal. 2020 Sep 7.
Cite This Article
  • APA Style

    Daba Abdissa. (2020). Imaging Features of COVID-19: A Review Article. American Journal of Clinical and Experimental Medicine, 8(5), 90-94. https://doi.org/10.11648/j.ajcem.20200805.13

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    ACS Style

    Daba Abdissa. Imaging Features of COVID-19: A Review Article. Am. J. Clin. Exp. Med. 2020, 8(5), 90-94. doi: 10.11648/j.ajcem.20200805.13

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    AMA Style

    Daba Abdissa. Imaging Features of COVID-19: A Review Article. Am J Clin Exp Med. 2020;8(5):90-94. doi: 10.11648/j.ajcem.20200805.13

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  • @article{10.11648/j.ajcem.20200805.13,
      author = {Daba Abdissa},
      title = {Imaging Features of COVID-19: A Review Article},
      journal = {American Journal of Clinical and Experimental Medicine},
      volume = {8},
      number = {5},
      pages = {90-94},
      doi = {10.11648/j.ajcem.20200805.13},
      url = {https://doi.org/10.11648/j.ajcem.20200805.13},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajcem.20200805.13},
      abstract = {Background: COVID-19, which is predominantly transmitted by contact between people, turns out to be a public health emergency of international concern and it lacks specificity in both clinical manifestations and laboratory tests. It mainly causes inflammatory lesions in the lungs and can also cause injury to other major organs. Imaging methods have an important role in the diagnosis and evaluation of treatment strategies for COVID-19. Computed tomography plays an important role in the diagnosis and evaluation of the severity in compliment with the RT-PCR test. Comprehensive analysis of the patient's epidemiological history, clinical symptoms, laboratory test and imaging manifestations are necessary in order to early detection, early isolation, and early management. Objective: The purpose of this review was to summarize the radiographic, CT patterns and ultrasonographic features of COVID-19 pneumonia in order to help health professionals for reliable basis for early diagnosis and management of COVID-19. Methods: The literature search for this document was carried out comprehensively by accessing PubMed, Google scholar, Web-of-Science and other data bases. In addition helpful documents were added. Result and conclusion: The most common CT features of COVID-19 are peripherally distributed ground glass opacities, crazy paving pattern and patchy consolidation. Lung ultrasound has a key role in the clinical management of patients with COVID-19 associated lung injury.},
     year = {2020}
    }
    

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  • TY  - JOUR
    T1  - Imaging Features of COVID-19: A Review Article
    AU  - Daba Abdissa
    Y1  - 2020/11/23
    PY  - 2020
    N1  - https://doi.org/10.11648/j.ajcem.20200805.13
    DO  - 10.11648/j.ajcem.20200805.13
    T2  - American Journal of Clinical and Experimental Medicine
    JF  - American Journal of Clinical and Experimental Medicine
    JO  - American Journal of Clinical and Experimental Medicine
    SP  - 90
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    PB  - Science Publishing Group
    SN  - 2330-8133
    UR  - https://doi.org/10.11648/j.ajcem.20200805.13
    AB  - Background: COVID-19, which is predominantly transmitted by contact between people, turns out to be a public health emergency of international concern and it lacks specificity in both clinical manifestations and laboratory tests. It mainly causes inflammatory lesions in the lungs and can also cause injury to other major organs. Imaging methods have an important role in the diagnosis and evaluation of treatment strategies for COVID-19. Computed tomography plays an important role in the diagnosis and evaluation of the severity in compliment with the RT-PCR test. Comprehensive analysis of the patient's epidemiological history, clinical symptoms, laboratory test and imaging manifestations are necessary in order to early detection, early isolation, and early management. Objective: The purpose of this review was to summarize the radiographic, CT patterns and ultrasonographic features of COVID-19 pneumonia in order to help health professionals for reliable basis for early diagnosis and management of COVID-19. Methods: The literature search for this document was carried out comprehensively by accessing PubMed, Google scholar, Web-of-Science and other data bases. In addition helpful documents were added. Result and conclusion: The most common CT features of COVID-19 are peripherally distributed ground glass opacities, crazy paving pattern and patchy consolidation. Lung ultrasound has a key role in the clinical management of patients with COVID-19 associated lung injury.
    VL  - 8
    IS  - 5
    ER  - 

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Author Information
  • Institute of Health, School of Medical Sciences, Jimma University, Oromia, Ethiopia

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