Skip to main content

Radiological Perspective of the Novel Coronavirus Disease 2019 (COVID-19)

  • Chapter
  • First Online:
Diagnostic Strategies for COVID-19 and other Coronaviruses

Abstract

The novel Coronavirus Disease 2019 (COVID-19) pandemic has spread to more than 180 countries of the world. Chest imaging plays a critical role in screening and management of the disease. Chest X-ray is the most viable and economical radiological modality; however, it suffers from a lower sensitivity in the diagnosis of COVID-19. Therefore, CT is recommended for the screening of COVID-19. The predominant CT findings of COVID-19 infection are bilateral and peripheral ground-glass and consolidative pulmonary opacities. CT can be useful in assessing temporal changes in patients recovering from COVID-19. The knowledge about the disease is still evolving, and caution must be taken during the evaluation of chest CT of COVID-19. CT findings in children are also variable, but the most common findings are ground-glass opacities and consolidation. Radiology departments must implement strict infection control protocols. To minimize the COVID-19 spread, radiology departments should adopt team segregation strategies with minimum overlap of the personnel. This chapter discusses the possible role of imaging methods and the recent advancement in key CT findings of COVID-19 infection, preparation of radiology departments, strategies to reduce the transmission, and personnel safety.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 149.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 199.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 199.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  • Ajlan AM, Ahyad RA, Jamjoom LG, Alharthy A, Madani TA (2014) Middle East respiratory syndrome coronavirus (MERS-CoV) infection: chest CT findings. AJR Am J Roentgenol 203(4):782–787

    Article  Google Scholar 

  • Bai HX, Hsieh B, Xiong Z, Halsey K, Choi JW, Tran TML, Pan I, Shi LB, Wang DC, Mei J, Jiang XL, Zeng QH, Egglin TK, Hu PF, Agarwal S, Xie FF, Li S, Healey T, Atalay MK, Liao WH (2020) Performance of radiologists in differentiating COVID-19 from non-COVID-19 viral pneumonia at chest CT. Radiology 296(2):E46–E54

    Google Scholar 

  • Baque-Juston M, Pellegrin A, Leroy S, Marquette CH, Padovani B (2014) Organizing pneumonia: what is it? A conceptual approach and pictorial review. Diagn Interv Imag 95(9):771–777

    Article  CAS  Google Scholar 

  • Chan-Yeung M, Xu RH (2003) SARS: epidemiology. Respirology 8(Suppl):S9–S14

    Article  Google Scholar 

  • Chen N, Zhou M, Dong X, Qu J, Gong F, Han Y, Qiu Y, Wang J, Liu Y, Wei Y, Xia J, Yu T, Zhang X, Zhang L (2020) Epidemiological and clinical characteristics of 99 cases of 2019 novel coronavirus pneumonia in Wuhan, China: a descriptive study. Lancet 395(10223):507–513

    Article  CAS  Google Scholar 

  • Chung MP, Yi CA, Lee HY, Han J, Lee KS (2010) Imaging of pulmonary vasculitis. Radiology 255(2):322–341

    Article  Google Scholar 

  • Fang Y, Zhang H, Xie J, Lin M, Ying L, Pang P, Ji W (2020a) Sensitivity of chest CT for COVID-19: comparison to RT-PCR. Radiology 296(2):E115–E117

    Google Scholar 

  • Fang Y, Zhang H, Xu Y, Xie J, Pang P, Ji W (2020b) CT manifestations of two cases of 2019 novel coronavirus (2019-nCoV) pneumonia. Radiology 295(1):208–209

    Article  Google Scholar 

  • Franquet T (2011) Imaging of pulmonary viral pneumonia. Radiology 260(1):18–39

    Article  Google Scholar 

  • Guan WJ, Ni ZY, Hu Y, Liang WH, Ou CQ, He JX, Liu L, Shan H, Lei CL, DSC H, Du B, Li LJ, Zeng G, Yuen KY, Chen RC, Tang CL, Wang T, Chen PY, Xiang J, Li SY, Wang JL, Liang ZJ, Peng YX, Wei L, Liu Y, Hu YH, Peng P, Wang JM, Liu JY, Chen Z, Li G, Zheng ZJ, Qiu SQ, Luo J, Ye CJ, Zhu SY, Zhong NS, China Medical Treatment Expert Group for C (2020) Clinical characteristics of Coronavirus disease 2019 in China. N Engl J Med 382(18):1708–1720

    Article  CAS  Google Scholar 

  • Huang L, Han R, Ai T, Yu P, Kang H, Tao Q, Xia L (2020) Serial quantitative chest CT assessment of COVID-19: deep-learning approach. Radiol Cardiothoracic Imag 2(2):e200075

    Article  Google Scholar 

  • John TJ, Hassan K, Weich H (2020) Donning and doffing of personal protective equipment (PPE) for angiography during the COVID-19 crisis. Eur Heart J 41:1786–1787

    Article  CAS  Google Scholar 

  • Kanne JP, Little BP, Chung JH, Elicker BM, Ketai LH (2020) Essentials for radiologists on COVID-19: an update-radiology scientific expert panel. Radiology 296(2):E113–E114

    Google Scholar 

  • Khunti K, Singh AK, Pareek M, Hanif W (2020) Is ethnicity linked to incidence or outcomes of covid-19? BMJ 369:m1548

    Article  Google Scholar 

  • Kong W, Agarwal PP (2020) Chest imaging appearance of COVID-19 infection. Radiol Cardiothoracic Imag 2(1):e200028

    Article  Google Scholar 

  • Koo HJ, Lim S, Choe J, Choi SH, Sung H, Do KH (2018) Radiographic and CT features of viral pneumonia. Radiographics 38(3):719–739

    Article  Google Scholar 

  • Lei J, Li J, Li X, Qi X (2020) CT imaging of the 2019 Novel Coronavirus (2019-nCoV) pneumonia. Radiology 295(1):18–18

    Article  Google Scholar 

  • Li L, Qin L, Xu Z, Yin Y, Wang X, Kong B, Bai J, Lu Y, Fang Z, Song Q, Cao K, Liu D, Wang G, Xu Q, Fang X, Zhang S, Xia J, Xia J (2020) Using artificial intelligence to detect COVID-19 and community-acquired pneumonia based on pulmonary CT: evaluation of the diagnostic accuracy. Radiology 296(2):E65–E71

    Google Scholar 

  • Mahapatra S, Chandra P (2020) Clinically practiced and commercially viable nanobio engineered analytical methods for COVID-19 diagnosis: Biosens. Bioelectron 165:112361

    Article  CAS  Google Scholar 

  • Mossa-Basha M, Medverd J, Linnau K, Lynch JB, Wener MH, Kicska G, Staiger T, Sahani D (2020) Policies and guidelines for COVID-19 preparedness: experiences from the university of Washington. Radiology 8:201326

    Google Scholar 

  • Namba Y, Kitada S, Mori M, Iwasaki T, Motone M, Niinaka M, Yoshimura K, Miki M, Miki K, Naka N, Hiraga T, Maekura R, Ito M (2006) A case of pneumonitis suspected to be induced by Oseltamivir. Nihon Kokyuki Gakkai Zasshi 44(5):410–414

    PubMed  Google Scholar 

  • Nambu A, Ozawa K, Kobayashi N, Tago M (2014) Imaging of community-acquired pneumonia: roles of imaging examinations, imaging diagnosis of specific pathogens and discrimination from noninfectious diseases. World J Radiol 6(10):779–793

    Article  Google Scholar 

  • Pan F, Ye T, Sun P, Gui S, Liang B, Li L, Zheng D, Wang J, Hesketh RL, Yang L, Zheng C (2020) Time course of lung changes at chest CT during recovery from coronavirus disease 2019 (COVID-19). Radiology 295(3):715–721

    Google Scholar 

  • Paul NS, Roberts H, Butany J, Chung T, Gold W, Mehta S, Konen E, Rao A, Provost Y, Hong HH, Zelovitsky L, Weisbrod GL (2004) Radiologic pattern of disease in patients with severe acute respiratory syndrome: the Toronto experience. Radiographics 24(2):553–563

    Article  Google Scholar 

  • Ramadan N, Shaib H (2019) Middle East respiratory syndrome coronavirus (MERS-CoV): a review. Germs 9(1):35–42

    Article  CAS  Google Scholar 

  • Raptis CA, Hammer MM, Short RG, Shah A, Bhalla S, Bierhals AJ, Filev PD, Hope MD, Jeudy J, Kligerman SJ, Henry TS (2020) Chest CT and coronavirus disease (COVID-19): a critical review of the literature to date. AJR Am J Roentgenol 215(4):839–842

    Google Scholar 

  • Salehi S, Abedi A, Balakrishnan S, Gholamrezanezhad A (2020) Coronavirus disease 2019 (COVID-19): a systematic review of imaging findings in 919 patients. AJR Am J Roentgenol 215(1):87–93

    Google Scholar 

  • Sheard S, Rao P, Devaraj A (2012) Imaging of acute respiratory distress syndrome. Respir Care 57(4):607–612

    Article  Google Scholar 

  • Shen D, Wu G, Suk HI (2017) Deep learning in medical image analysis. Annu Rev Biomed Eng 19:221–248

    Article  CAS  Google Scholar 

  • Simpson S, Kay FU, Abbara S, Bhalla S, Chung JH, Chung M, Henry TS, Kanne JP, Kligerman S, Ko JP, Litt H (2020) Radiological Society of North America expert consensus statement on reporting chest CT findings related to COVID-19. Endorsed by the Society of Thoracic Radiology, the American College of Radiology, and RSNA. Radiol Cardiothoracic Imag 2(2):e200152

    Article  Google Scholar 

  • Song F, Shi N, Shan F, Zhang Z, Shen J, Lu H, Ling Y, Jiang Y, Shi Y (2020) Emerging 2019 Novel Coronavirus (2019-nCoV) pneumonia. Radiology 295(1):210–217

    Article  Google Scholar 

  • Tillin T, Hughes AD, Mayet J, Whincup P, Sattar N, Forouhi NG, McKeigue PM, Chaturvedi N (2013) The relationship between metabolic risk factors and incident cardiovascular disease in Europeans, South Asians, and African Caribbeans: SABRE (Southall and Brent revisited) – a prospective population-based study. J Am Coll Cardiol 61(17):1777–1786

    Article  Google Scholar 

  • Wong HYF, Lam HYS, Fong AH, Leung ST, Chin TW, Lo CSY, Lui MM, Lee JCY, Chiu KW, Chung TW, Lee EYP, Wan EYF, Hung IFN, Lam TPW, Kuo MD, Ng MY (2020) Frequency and distribution of chest radiographic findings in patients positive for COVID-19. Radiology 296(2):E72–E78

    Google Scholar 

  • Wu Z, McGoogan JM (2020) Characteristics of and important lessons from the Coronavirus disease 2019 (COVID-19) outbreak in China: summary of a report of 72314 cases from the Chinese Center for Disease Control and Prevention. JAMA 323:1239–1242

    Article  CAS  Google Scholar 

  • Wu J, Wu X, Zeng W, Guo D, Fang Z, Chen L, Huang H, Li C (2020) Chest CT findings in patients with Coronavirus disease 2019 and its relationship with clinical features. Investig Radiol 55(5):257–261

    Article  CAS  Google Scholar 

  • Xia W, Shao J, Guo Y, Peng X, Li Z, Hu D (2020) Clinical and CT features in pediatric patients with COVID-19 infection: different points from adults. Pediatr Pulmonol 55(5):1169–1174

    Article  Google Scholar 

  • Xie X, Zhong Z, Zhao W, Zheng C, Wang F, Liu J (2020) Chest CT for typical coronavirus disease 2019 (COVID-19) pneumonia: relationship to negative RT-PCR testing. Radiology 296(2):E41–E45

    Google Scholar 

  • Zhu J, Zhong Z, Li H, Ji P, Pang J, Li B, Zhang J (2020a) CT imaging features of 4121 patients with COVID-19: a meta-analysis. J Med Virol 92(7):891–902

    Article  CAS  Google Scholar 

  • Zhu N, Zhang D, Wang W, Li X, Yang B, Song J, Zhao X, Huang B, Shi W, Lu R, Niu P, Zhan F, Ma X, Wang D, Xu W, Wu G, Gao GF, Tan W, China Novel Coronavirus I, Research T (2020b) A Novel Coronavirus from patients with pneumonia in China, 2019. N Engl J Med 382(8):727–733

    Article  CAS  Google Scholar 

Download references

Acknowledgments

The authors are grateful to the Vice Chancellor, King George’s Medical University (KGMU), Lucknow, India, for the encouragement of this work. The authors have no other relevant affiliations or financial involvement with any organization or entity with a financial interest in or financial conflict with the subject matter or materials discussed in the manuscript apart from those disclosed.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Durgesh K. Dwivedi .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2020 The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Dwivedi, D.K., Parihar, A., Kohli, N., Dandu, H.R., Saxena, S.K. (2020). Radiological Perspective of the Novel Coronavirus Disease 2019 (COVID-19). In: Chandra, P., Roy, S. (eds) Diagnostic Strategies for COVID-19 and other Coronaviruses. Medical Virology: From Pathogenesis to Disease Control. Springer, Singapore. https://doi.org/10.1007/978-981-15-6006-4_3

Download citation

Publish with us

Policies and ethics