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2021, Number 3

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CorSalud 2021; 13 (3)

COVID-19 in dual-energy computed tomographic imaging

Nápoles LME, Moreno-Martínez FL, Caballero FAD

Language: Spanish
References: 60
Page: 338-347
PDF size: 1391.15 Kb.


ABSTRACT

In December 2019 some cases of a severe pneumonia were reported in the city of Wuhan, China. In January 2020, the new virus, SARS-CoV-2, which produced this highly contagious disease called COVID-19, was identified and it reached epidemic level in March 2020. There is an established protocol for its diagnosis, which includes imaging studies, including chest dual energy computed tomography. The characteristics of pulmonary and vascular anatomical findings in tomographic images of patients with COVID-19, their distribution, and their relationship with the time elapsed since the onset of symptoms, play an important role in the control and treatment of this disease, reflecting the diagnostic value of this technique.


REFERENCES

  1. Lu H, Stratton CW, Tang YW. Outbreak of pneumonia of unknown etiology in Wuhan, China: The mystery and the miracle. J Med Virol. 2020;92(4):401-2. DOI: https://doi.org/10.1002/jmv.25678

  2. Hui DS, I Azhar E, Madani TA, Ntoumi F, Kock R, Dar O, et al. The continuing 2019-nCoV epidemic threat of novel coronaviruses to global health-The latest 2019 novel coronavirus outbreak in Wuhan, China. Int J Infect Dis. 2020;91:264-6. DOI: https://doi.org/10.1016/j.ijid.2020.01.009

  3. Huang C, Wang Y, Li X, Ren L, Zhao J, Hu Y, et al. Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China. Lancet. 2020;395(10223):497-506. DOI: https://doi.org/10.1016/s0140-6736(20)30183-5

  4. World Health Organization. Clinical management of severe acute respiratory infection when novel coronavirus (??????2019-nCoV)?????? infection is suspected: interim guidance. [Internet]. Ginebra: World Health Organization; 2020 [citado 2 Feb 2021]. Disponible en: https://apps.who.int/iris/handle/10665/330893

  5. Zhu N, Zhang D, Wang W, Li X, Yang B, Song J, et al. A Novel Coronavirus from Patients with Pneumonia in China, 2019. N Engl J Med. 2020;382(8):727-33. DOI: https://doi.org/10.1056/nejmoa2001017

  6. Song F, Shi N, Shan F, Zhang Z, Shen J, Lu H, et al. Emerging 2019 Novel Coronavirus (2019-nCoV) Pneumonia. Radiology. 2020;295(1):210-7. DOI: https://doi.org/10.1148/radiol.2020200274

  7. Zhou F, Yu T, Du R, Fan G, Liu Y, Liu Z, et al. Clinical course and risk factors for mortality of adult inpatients with COVID-19 in Wuhan, China: a retrospective cohort study. Lancet. 2020;395(10229):1054-62. DOI: https://doi.org/10.1016/s0140-6736(20)30566-3

  8. Cui J, Li F, Shi ZL. Origin and evolution of pathogenic coronaviruses. Nat Rev Microbiol. 2019;17(3):181-92. DOI: https://doi.org/10.1038/s41579-018-0118-9

  9. Lai CC, Shih TP, Ko WC, Tang HJ, Hsueh PR. Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and coronavirus disease-2019 (COVID-19): The epidemic and the challenges. Int J Antimicrob Agents [Internet]. 2020 [citado 5 Feb 2021];55(3):105924. Disponible en: https://doi.org/10.1016/j.ijantimicag.2020.105924

  10. World Health Organization. Laboratory testing for coronavirus disease 2019 (??COVID-19)?? in suspected human cases: interim guidance. [Internet]. Ginebra: World Health Organization; 2020 [citado 5 Feb 2021]. Disponible en: https://apps.who.int/iris/handle/10665/331329

  11. Mahase E. China coronavirus: WHO declares international emergency as death toll exceeds 200. BMJ [Internet]. 2020 [citado 6 Feb 2021];368:m408. Disponible en: https://doi.org/10.1136/bmj.m408

  12. Zhou P, Yang XL, Wang XG, Hu B, Zhang L, Zhang W, et al. A pneumonia outbreak associated with a new coronavirus of probable bat origin. Nature. 2020;579(7798):270-3. DOI: https://doi.org/10.1038/s41586-020-2012-7

  13. Cummings MJ, Baldwin MR, Abrams D, Jacobson SD, Meyer BJ, Balough EM, et al. Epidemiology, clinical course, and outcomes of critically ill adults with COVID-19 in New York City: a prospective cohort study. Lancet. 2020;395(10239):1763-70. DOI: https://dx.doi.org/10.1016%2FS0140-6736(20)31189-2

  14. McIntosh K. Coronavirus disease 2019 (COVID-19): Clinical features. En: Hirsch MS, Bloom A, eds. Coronavirus disease 2019 (COVID-19): Epidemiology, virology, and prevention. Waltham, Mass: UpToDate; 2020.

  15. Wu Z, McGoogan JM. Characteristics of and Important Lessons From the Coronavirus Disease 2019 (COVID-19) Outbreak in China: Summary of a Report of 72?314 Cases From the Chinese Center for Disease Control and Prevention. JAMA. 2020;323(13):1239-42. DOI: https://doi.org/10.1001/jama.2020.2648

  16. Blankstein R. The impact of the COVID-19 pandemic on cardiac CT. J Cardiovasc Comput Tomogr. 2020;14(3):209-10. DOI: https://doi.org/10.1016/j.jcct.2020.05.001

  17. Akhmerov A, Marbán E. COVID-19 and the Heart. Circ Res. 2020;126(10):1443-55. DOI: https://doi.org/10.1161/circresaha.120.317055

  18. Ni W, Yang X, Liu J, Bao J, Li R, Xu Y, et al. Acute Myocardial Injury at Hospital Admission Is Associated With All-Cause Mortality in COVID-19. J Am Coll Cardiol. 2020;76(1):124-5. DOI: https://dx.doi.org/10.1016%2Fj.jacc.2020.05.007

  19. Huang L, Zhao P, Tang D, Zhu T, Han R, Zhan C, et al. Cardiac Involvement in Patients Recovered From COVID-2019 Identified Using Magnetic Resonance Imaging. JACC Cardiovasc Imaging. 2020;13(11):2330-9. DOI: https://doi.org/10.1016/j.jcmg.2020.05.004

  20. Revzin MV, Raza S, Srivastava NC, Warshawsky R, D'Agostino C, Malhotra A, et al. Multisystem Imaging Manifestations of COVID-19, Part 2: From Cardiac Complications to Pediatric Manifestations. Radiographics. 2020;40(7):1866-92. DOI: https://doi.org/10.1148/rg.2020200195

  21. European Society for Cardiology. ESC Guidance for the Diagnosis and Management of CV Disease during the COVID-19 Pandemic [Internet]. Education: COVID-19 and Cardiology; 2020 [citado 7 Feb 2021]. Disponible en: https://www.escardio.org/Education/COVID-19-and-Cardiology/ESC-COVID-19-Guidance

  22. Ferrari A, Bertolaccini L, Solli P, Di Salvia PO, Scaradozzi D. Digital chest tomosynthesis: the 2017 updated review of an emerging application. Ann Transl Med [Internet]. 2018 [citado 7 Feb 2021];6(5):91. Disponible en: https://doi.org/10.21037/atm.2017.08.18

  23. Grosso M, Priotto R, Ghirardo D, Talenti A, Roberto E, Bertolaccini L, et al. Comparison of digital tomosynthesis and computed tomography for lung nodule detection in SOS screening program. Radiol Med. 2017;122(8):568-74. DOI: https://doi.org/10.1007/s11547-017-0765-3

  24. Choo JY, Lee KY, Yu A, Kim JH, Lee SH, Choi JW, et al. A comparison of digital tomosynthesis and chest radiography in evaluating airway lesions using computed tomography as a reference. Eur Radiol. 2016;26(9):3147-54. DOI: https://doi.org/10.1007/s00330-015-4127-z

  25. Kim EY, Bista AB, Kim T, Park SY, Park KJ, Kang DK, et al. The advantage of digital tomosynthesis for pulmonary nodule detection concerning influence of nodule location and size: a phantom study. Clin Radiol [Internet]. 2017 [citado 8 Feb 2021];72(9):796.e1-e8. Disponible en: https://doi.org/10.1016/j.crad.2017.03.022

  26. Dobbins JT, McAdams HP, Sabol JM, Chakraborty DP, Kazerooni EA, Reddy GP, et al. Multi-Institutional Evaluation of Digital Tomosynthesis, Dual-Energy Radiography, and Conventional Chest Radiography for the Detection and Management of Pulmonary Nodules. Radiology. 2017;282(1):236-50. DOI: https://doi.org/10.1148/radiol.2016150497

  27. Li Y, Xia L. Coronavirus Disease 2019 (COVID-19): Role of Chest CT in Diagnosis and Management. AJR Am J Roentgenol. 2020;214(6):1280-6. DOI: https://doi.org/10.2214/ajr.20.22954

  28. Xiong Y, Sun D, Liu Y, Fan Y, Zhao L, Li X, et al. Clinical and High-Resolution CT Features of the COVID-19 Infection: Comparison of the Initial and Follow-up Changes. Invest Radiol. 2020;55(6):332-9. DOI: https://doi.org/10.1097/rli.0000000000000674

  29. Johnson TR, Krauss B, Sedlmair M, Grasruck M, Bruder H, Morhard D, et al. Material differentiation by dual energy CT: initial experience. Eur Radiol. 2007;17(6):1510-7. DOI: https://doi.org/10.1007/s00330-006-0517-6

  30. Schmidt B, Bredenhoeller C, Flohr T. Dual Source CT Technology. En: Hofmann S, eds. Dual Source CT Imaging. Germany: Springer; 2008. p.19-33.

  31. Calvo I, SantaCruz-Calvo S, Aranzana MG, Mármol P, Luque JÁ, Peral I, et al. Tomografía Digital y COVID-19: Un avance en la valoración de opacidades pulmonares. Arch Bronconeumol. 2020;56(11):761-3. DOI: https://doi.org/10.1016/j.arbr.2020.06.005

  32. Ridge CA, Desai SR, Jeyin N, Mahon C, Lother DL, Mirsadraee S, et al. Dual-Energy CT Pulmonary Angiography (DECTPA) Quantifies Vasculopathy in Severe COVID-19 Pneumonia. Radiol Cardiothorac Imaging [Internet]. 2020 [citado 10 Feb 2021];2(5):e200428. Disponible en: https://doi.org/10.1148/ryct.2020200428

  33. Fang Y, Zhang H, Xie J, Lin M, Ying L, Pang P, et al. Sensitivity of Chest CT for COVID-19: Comparison to RT-PCR. Radiology. 2020;296(2):E115-7. DOI: https://doi.org/10.1148/radiol.2020200432

  34. Simpson S, Kay FU, Abbara S, Bhalla S, Chung JH, Chung M, et al. 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 Cardiothorac Imaging [Internet]. 2020 [citado 12 Feb 2021];2(2):e200152. Disponible en: https://doi.org/10.1148/ryct.2020200152

  35. Xie X, Zhong Z, Zhao W, Zheng C, Wang F, Liu J. Chest CT for Typical Coronavirus Disease 2019 (COVID-19) Pneumonia: Relationship to Negative RT-PCR Testing. Radiology. 2020;296(2):E41-5. DOI: https://doi.org/10.1148/radiol.2020200343

  36. Koo HJ, Lim S, Choe J, Choi SH, Sung H, Do KH. Radiographic and CT Features of Viral Pneumonia. Radiographics. 2018;38(3):719-39. DOI: https://doi.org/10.1148/rg.2018170048

  37. Ojha V, Mani A, Pandey NN, Sharma S, Kumar S. CT in coronavirus disease 2019 (COVID-19): a systematic review of chest CT findings in 4410 adult patients. Eur Radiol. 2020;30(11):6129-38. DOI: https://doi.org/10.1007/s00330-020-06975-7

  38. Bernheim A, Mei X, Huang M, Yang Y, Fayad ZA, Zhang N, et al. Chest CT. ?ndings in coronavirus disease 2019 (COVID-19): Relationship to duration of infection. Radiology [Internet]. 2020 [citado 13 Feb 2021];295(3):200463. Disponible en: https://doi.org/10.1148/radiol.2020200463

  39. Pan Y, Guan H, Zhou S, Wang Y, Li Q, Zhu T, 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;30(6):3306-9. DOI: https://doi.org/10.1007/s00330-020-06731-x

  40. Pan F, Ye T, Sun P, Gui S, Liang B, Li L, et al. Time Course of Lung Changes at Chest CT during Recovery from Coronavirus Disease 2019 (COVID-19). Radiology. 2020;295(3):715-21. DOI: https://doi.org/10.1148/radiol.2020200370

  41. Wu J, Wu X, Zeng W, Guo D, Fang Z, Chen L, et al. Chest CT Findings in Patients With Coronavirus Disease 2019 and Its Relationship With Clinical Features. Invest Radiol. 2020;55(5):257-61. DOI: https://doi.org/10.1097/rli.0000000000000670

  42. Wang Y, Dong C, Hu Y, Li C, Ren Q, Zhang X, et al. Temporal Changes of CT Findings in 90 Patients with COVID-19 Pneumonia: A Longitudinal Study. Radiology. 2020;296(2):E55-E64. DOI: https://doi.org/10.1148/radiol.2020200843

  43. Prokop M, Everdingen W, Rees Vellinga T, Quarles Ufford H, Stöger L, Beenen L, et al. CO-RADS: A Categorical CT Assessment Scheme for Patients Suspected of Having COVID-19-Definition and Evaluation. Radiology. 2020];296(2):E97-E104. DOI: https://doi.org/10.1148/radiol.2020201473

  44. Salehi S, Abedi A, Balakrishnan S, Gholamrezanezhad A. Coronavirus Disease 2019 (COVID-19): A Systematic Review of Imaging Findings in 919 Patients. AJR Am J Roentgenol. 2020;215(1):87-93. DOI: https://doi.org/10.2214/ajr.20.23034

  45. Molina CO, Duarte N, Mikulic H. Presentación tomográfica inusual, con crazy-paving, en insuficiencia cardíaca. Rev Amer Med Respiratoria. 2016;16(2):172-4.

  46. Pontone G, Baggiano A, Conte E, Teruzzi G, Cosentino N, Campodonico J, et al. »,» ®,® §,§ ­,­ ¹,¹ ²,² ³,³ ß,ß Þ,Þ þ,þ ×,× Ú,Ú ú,ú Û,Û û,û Ù,Ù ù,ù ¨,¨ Ü,Ü ü,ü Ý,Ý ý,ý ¥,¥ ÿ,ÿ ¶,¶ Quadruple Rule-Out »,» ®,® §,§ ­,­ ¹,¹ ²,² ³,³ ß,ß Þ,Þ þ,þ ×,× Ú,Ú ú,ú Û,Û û,û Ù,Ù ù,ù ¨,¨ Ü,Ü ü,ü Ý,Ý ý,ý ¥,¥ ÿ,ÿ ¶,¶ With Computed Tomography in a COVID-19 Patient With Equivocal Acute Coronary Syndrome Presentation. JACC Cardiovasc Imaging. 2020;13(8):1854-6. DOI: https://dx.doi.org/10.1016%2Fj.jcmg.2020.04.012

  47. Lang M, Som A, Mendoza DP, Flores EJ, Reid N, Carey D, et al. Hypoxaemia related to COVID-19: vascular and perfusion abnormalities on dual-energy CT. Lancet Infect Dis. 2020;20(12):1365-6. DOI: https://doi.org/10.1016/s1473-3099(20)30367-4

  48. Ganti S, Kok SSX, Aftab S, Halagatti SV, Wong SBS, Uppaluri AS. Spectrum of lung perfusion changes on dual-energy CT in COVID-19: incremental benefit to conventional CT. Emerg Radiol. 2021;28:527-31. DOI: https://doi.org/10.1007/s10140-020-01877-z

  49. Leonardi A, Scipione R, Alfieri G, Petrillo R, Dolciami M, Ciccarelli F, et al. Role of computed tomography in predicting critical disease in patients with covid-19 pneumonia: A retrospective study using a semiautomatic quantitative method. Eur J Radiol [Internet]. 2020 [citado 15 Feb 2021];130:109202. Disponible en: https://doi.org/10.1016/j.ejrad.2020.109202

  50. Gattinoni L, Coppola S, Cressoni M, Busana M, Rossi S, Chiumello D. COVID-19 Does Not Lead to a »,» ®,® §,§ ­,­ ¹,¹ ²,² ³,³ ß,ß Þ,Þ þ,þ ×,× Ú,Ú ú,ú Û,Û û,û Ù,Ù ù,ù ¨,¨ Ü,Ü ü,ü Ý,Ý ý,ý ¥,¥ ÿ,ÿ ¶,¶ Typical »,» ®,® §,§ ­,­ ¹,¹ ²,² ³,³ ß,ß Þ,Þ þ,þ ×,× Ú,Ú ú,ú Û,Û û,û Ù,Ù ù,ù ¨,¨ Ü,Ü ü,ü Ý,Ý ý,ý ¥,¥ ÿ,ÿ ¶,¶ Acute Respiratory Distress Syndrome. Am J Respir Crit Care Med. 2020;201(10):1299-300. DOI: https://doi.org/10.1164/rccm.202003-0817le

  51. Klok FA, Kruip MJHA, van der Meer NJM, Arbous MS, Gommers DAMPJ, Kant KM, et al. Incidence of thrombotic complications in critically ill ICU patients with COVID-19. Thromb Res. 2020;191:145-7. DOI: https://doi.org/10.1016/j.thromres.2020.04.013

  52. Shu L, Wang X, Li M, Chen X, Ji N, Shi L, et al. Clinical characteristics of moderate COVID-19 patients aggravation in Wuhan Stadium Cabin Hospital: A 571 cases of retrospective cohort study. J Med Virol. 2021;93(2):1133-40. DOI: https://doi.org/10.1002/jmv.26414

  53. Zhu F, Cao Y, Xu S, Zhou M. Co-infection of SARS-CoV-2 and HIV in a patient in Wuhan city, China. J Med Virol. 2020;92(6):529-30. DOI: https://doi.org/10.1002/jmv.25732

  54. Cheng Z, Qin L, Cao Q, Dai J, Pan A, Yang W, et al. Quantitative computed tomography of the coronavirus disease 2019 (COVID-19) pneumonia. Radiol Infect Dis. 2020;7(2):55-61. DOI: https://dx.doi.org/10.1016%2Fj.jrid.2020.04.004

  55. Zhang R, Ouyang H, Fu L, Wang S, Han J, Huang K, et al. CT features of SARS-CoV-2 pneumonia according to clinical presentation: a retrospective analysis of 120 consecutive patients from Wuhan city. Eur Radiol. 2020;30(8):4417-26. DOI: https://doi.org/10.1007/s00330-020-06854-1

  56. Hosseiny M, Kooraki S, Gholamrezanezhad A, Reddy S, Myers L. Radiology Perspective of Coronavirus Disease 2019 (COVID-19): Lessons From Severe Acute Respiratory Syndrome and Middle East Respiratory Syndrome. AJR Am J Roentgenol. 2020;214(5):1078-82. DOI: https://doi.org/10.2214/ajr.20.22969

  57. 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 [Internet]. 2020 [citado 16 Feb 2021];15(3):e0230548. Disponible en: https://doi.org/10.1371/journal.pone.0230548

  58. Si-Mohamed S, Chebib N, Sigovan M, Zumbihl L, Turquier S, Boccalini S, et al. In vivo demonstration of pulmonary microvascular involvement in COVID-19 using dual-energy computed tomography. Eur Respir J [Internet]. 2020 [citado 17 Feb 2021];56(4):2002608. Disponible en: https://doi.org/10.1183/13993003.02608-2020

  59. Ai T, Yang Z, Hou H, Zhan C, Chen C, Lv W, et al. Correlation of Chest CT and RT-PCR Testing for Coronavirus Disease 2019 (COVID-19) in China: A Report of 1014 Cases. Radiology. 2020;296(2):E32-E40. DOI: https://doi.org/10.1148/radiol.2020200642

  60. Grassi R, Fusco R, Belfiore MP, Montanelli A, Patelli G, Urraro F, et al. Coronavirus disease 2019 (COVID-19) in Italy: features on chest computed tomography using a structured report system. Sci Rep [Internet]. 2020 [citado 17 Feb 2021];10(1):17236. Disponible en: https://doi.org/10.1038/s41598-020-73788-5




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