CC BY-NC-ND 4.0 · Ann Natl Acad Med Sci 2020; 56(02): 062-066
DOI: 10.1055/s-0040-1713345
Review Article

Current Status of Computed Tomography in Novel Coronavirus Disease 2019 Pneumonia

Kumble Seetharama Madhusudhan
1   Department of Radiodiagnosis, All India Institute of Medical Sciences, New Delhi, India
,
Deep Narayan Srivastava
1   Department of Radiodiagnosis, All India Institute of Medical Sciences, New Delhi, India
› Author Affiliations

Abstarct

The novel coronavirus disease, known as severe acute respiratory syndrome coronavirus 2 (SARS-CoV2), has developed into a pandemic affecting more than three million people worldwide. It predominantly affects the respiratory system and patients present with fever, dry cough, dyspnea, and myalgia. The confirmatory diagnostic test is real-time reverse transcriptase polymerase chain reaction on blood or respiratory samples. Imaging with computed tomography, although not routinely recommended, may not only assist in making a diagnosis but also in assessing disease progression, assessing complications, and in prognostication. This review describes the objectives, techniques, imaging features, and reporting of computed tomography findings of SARS-CoV2 pneumonia.



Publication History

Article published online:
11 June 2020

© .

Thieme Medical and Scientific Publishers Private Ltd.
A-12, Second Floor, Sector -2, NOIDA -201301, India

 
  • References

  • 1 Bonilla-Aldana DK, Dhama K, Rodriguez-Morales AJ. Revisiting the one health approach in the context of COVID-19: a look into the ecology of this emerging disease. Adv Anim Vet Sci 2020; 8: 234-237
  • 2 Zhu N, Zhang D, Wang W. et al. China Novel Coronavirus Investigating and Research Team. A Novel coronavirus from patients with pneumonia in China, 2019. N Engl J Med 2020; 382 (08) 727-733
  • 3 WHO coronavirus disease (COVID-19) situation dashboard. Available at: https://covid19.who.int/. Accessed May 22, 2020
  • 4 Huang C, Wang Y, Li X. et al. Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China. Lancet 2020; 395 (10223) 497-506
  • 5 Rodriguez-Morales AJ, Cardona-Ospina JA, Gutiérrez-Ocampo E. et al. Latin American Network of Coronavirus Disease 2019-COVID-19 Research (LANCOVID-19). Electronic address: https://www.lancovid.org. Clinical, laboratory and imaging features of COVID-19: a systematic review and meta-analysis. Travel Med Infect Dis 2020; 34: 101623
  • 6 Ai T, Yang Z, Hou H. et al. Correlation of chest CT and RT-PCR testing in coronavirus disease 2019 (COVID-19) in China: a report of 1014 cases. Radiology 2020; 200642: 200642
  • 7 Fang Y, Zhang H, Xie J. et al. Sensitivity of chest CT for COVID-19: comparison to RT-PCR. Radiology 2020; 200432: 200432
  • 8 Long C, Xu H, Shen Q. et al. Diagnosis of the coronavirus disease (COVID-19): rRT-PCR or CT?. Eur J Radiol 2020; 126: 108961
  • 9 Udugama B, Kadhiresan P, Kozlowski HN. et al. Diagnosing COVID-19: the disease and tools for detection. ACS Nano 2020; 14 (04) 3822-3835
  • 10 Bernheim A, Mei X, Huang M. et al. Chest CT findings in coronavirus disease-19 (COVID-19): relationship to duration of infection. Radiology 2020; 295 (03) 200463
  • 11 Shi H, Han X, Jiang N. et al. Radiological findings from 81 patients with COVID-19 pneumonia in Wuhan, China: a descriptive study. Lancet Infect Dis 2020; 20 (04) 425-434
  • 12 Ding Y, Wang H, Shen H. et al. The clinical pathology of severe acute respiratory syndrome (SARS): a report from China. J Pathol 2003; 200 (03) 282-289
  • 13 Ng DL, Al Hosani F, Keating MK. et al. Clinicopathologic, immunohistochemical, and ultrastructural findings of a fatal case of Middle East respiratory syndrome coronavirus infection in the United Arab Emirates, April 2014. Am J Pathol 2016; 186 (03) 652-658
  • 14 Tian S, Xiong Y, Liu H. et al. Pathological study of the 2019 novel coronavirus disease (COVID-19) through postmortem core biopsies. Mod Pathol 2020; DOI: 10.1038/s41379-020-0536-x.
  • 15 Xu X, Chen P, Wang J. et al. Evolution of the novel coronavirus from the ongoing Wuhan outbreak and modeling of its spike protein for risk of human transmission. Sci China Life Sci 2020; 63 (03) 457-460
  • 16 Mossa-Basha M, Medverd J, Linnau K. et al. Policies and guidelines for COVID-19 preparedness: experiences from the University of Washington. Radiology 2020; 201326
  • 17 Nakajima K, Kato H, Yamashiro T. et al. COVID-19 pneumonia: infection control protocol inside computed tomography suites. Jpn J Radiol 2020; 38 (05) 391-393
  • 18 Li K, Fang Y, Li W. et al. CT image visual quantitative evaluation and clinical classification of coronavirus disease (COVID-19). Eur Radiol 2020; DOI: 10.1007/s00330-020-06817-6.
  • 19 Ye Z, Zhang Y, Wang Y, Huang Z, Song B. Chest CT manifestations of new coronavirus disease 2019 (COVID-19): a pictorial review. Eur Radiol 2020; DOI: 10.1007/s00330-020-06801-0.
  • 20 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. Am J Roentgenol 2020; 214 (05) 1072-1077
  • 21 Yang Q, Liu Q, Xu H, Lu H, Liu S, Li H. Imaging of coronavirus disease 2019: a Chinese expert consensus statement. Eur J Radiol 2020; 127: 109008
  • 22 Salehi S, Abedi A, Balakrishnan S, Gholamrezanezhad A. Coronavirus disease 2019 (COVID-19): a systematic review of imaging findings in 919 patients. Am J Roentgenol 2020; DOI: 10.2214/AJR.20.23034.
  • 23 Kunhua Li JW, Wu F, Guo D, Chen L, Zheng F, Li C. The clinical and chest CT features associated with severe and critical COVID-19 pneumonia. Invest Radiol 2020; 55 (06) 327-331
  • 24 Song F, Shi N, Shan F. et al. Emerging coronavirus 2019- nCoV pneumonia. Radiology 2020; 295 (01) 210-217
  • 25 Pan F, Ye T, Sun P. et al. Time course of lung changes on chest CT during recovery from 2019 novel coronavirus (COVID19) pneumonia. Radiology 2020; DOI: 10.1148/radiol.2020200370.
  • 26 Pan Y, Guan H, Zhou S. et al. 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 2020; DOI: 10.1007/s00330-020-06731-x.
  • 27 Zhou S, Wang Y, Zhu T, Xia L. CT features of coronavirus disease 2019 (COVID-19) pneumonia in 62 patients in Wuhan, China. Am J Roentgenol 2020; 214: 1-8
  • 28 Lang M, Som A, Mendoza DP. et al. Hypoxaemia related to COVID-19: vascular and perfusion abnormalities on dual-energy CT. Lancet Infect Dis 2020; DOI: 10.1016/S1473-3099(20)30367-4.
  • 29 Li Y, Xia L. Coronavirus disease 2019 (COVID-19): role of chest CT in diagnosis and management. Am J Roentgenol 2020; DOI: 10.2214/AJR.20.22954.
  • 30 Mossa-Basha M, Meltzer CC, Kim DC, Tuite MJ, Kolli KP, Tan BS. Radiology department preparedness for COVID-19:radiologyscientific expert panel. Radiology 2020; DOI: 10.1148/radiol.2020200988.
  • 31 Hope MD, Raptis CA, Shah A, Hammer MM, Henry TS. six signatories. A role for CT in COVID-19? What data really tell us so far. Lancet 2020; 395 (10231) 1189-1190
  • 32 Wang D, Hu B, Hu C. et al. Clinical characteristics of 138 hospitalized patients with 2019 novel corona virus infection pneumonia in Wuhan, China. JAMA 2020; 323 (11) 1061-1069
  • 33 Hosseiny M, Kooraki S, Gholamrezanezhad A, Reddy S, Myers L. Radiology perspective of corona virus disease 2019 (COVID-19): lessons from severe acute respiratory syndrome and Middle East respiratory syndrome. AJR Am J Roentgenol 2020; 214 (05) 1078-1082
  • 34 Pozzessere C, Rotzinger DC, Ghaye B, Lamoth F, Beigelman-Aubry C. Incidentally discovered COVID-19 pneumonia: the role of diagnostic imaging. Eur Radiol 2020; DOI: 10.1007/s00330-020-06914-6.
  • 35 Hope MD, Raptis CA, Shah A, Hammer MM, Henry TS. six signatories. A role for CT in COVID-19? What data really tell us so far. Lancet 2020; 395 (10231) 1189-1190
  • 36 Andrea L. Caution about radiologic diagnosis of COVID-19 infection driven by artificial intelligence. Lancet 2020; 2: e225