EDITORIAL


https://doi.org/10.5005/jp-journals-10071-23772
Indian Journal of Critical Care Medicine
Volume 25 | Issue 3 | Year 2021

Early CT in COVID-19: Should I or Should I Not?

Deepak Govil1https://orcid.org/0000-0002-4624-1614, Praveen G Kumar2https://orcid.org/0000-0002-2875-5726

1Institute of Critical Care and Anesthesia, Medanta–The Medicity, Gurugram, Haryana, India

2Department of Critical Care Institute, Cleveland Clinic Abu Dhabi, Abu Dhabi, United Arab Emirates

Corresponding Author: Deepak Govil, Institute of Critical Care and Anesthesia, Medanta–The Medicity, Gurugram, Haryana, India. Phone: +91 11 26692531, e-mail: drdeepak_govil@yahoo.co.in

How to cite this article: Govil D, Kumar GP. Early CT in COVID-19: Should I or Should I Not? Indian J Crit Care Med 2021;25(3):251–252.

Source of support: Nil

Conflict of interest: None

Keywords: COVID-19, Ground-glass opacification, Hypoxemia, Lung CT, Role of general physicians.

Little over a year since the first reported case of COVID-19, and close to 100 million cases later, the disease remains an enigma to the scientific world and continues to be a challenge from diagnosis to treatment.1

The clinical spectrum of COVID-19 extends from asymptomatic or pre-symptomatic infection to critical illness causing respiratory failure, septic shock, and multiorgan dysfunction.2 Both clinical and laboratory markers, including hematological and immunological, have been determined to define the disease severity.3,4

Lung infiltrates involving more than 50% of lung fields are classified as severe COVID-19 disease.2,3 Computed tomography (CT) imaging of lung parenchyma though routinely used for evaluation of disease severity in multiple studies, disagreement exists among the physicians, concerning the utility of CT imaging in COVID-19 and the timing of the investigation. The principal reason is due to an array of radiological findings, atypical presentations, and perceived limited clinical merits.

In this edition, Aalinezhad et al. compared the early CT chest findings with capillary oxygen saturation of patients diagnosed with COVID-19 disease.5 The study is bespoke of an inverse correlation between the CT severity score and oxygen saturation. Albeit a small number, 27 patients with hypoxia had a higher CT severity score when compared to patients without hypoxia (18.14 ± 7.43 in hypoxic patients juxtaposed to 2.64 ± 7.25 in patients without hypoxia). The study also showed higher CT severity scores in patients with pre-existing illnesses, but interestingly the findings were not similar when increasing age was compared with CT severity score. Highlights of this study were that both the imaging and oxygen levels were compared at the early part of the disease and both the investigations were done within 24 hours of each other. Early imaging also nullified the potential effect of any therapeutic intervention like ventilation on CT findings.

The study is extremely appropriate to the prevailing situation and exerts interest for further discussion on the role of CT imaging in COVID-19 disease and needs further refinement.

First and foremost is the timing of CT imaging in a patient with confirmed COVID-19 disease. Ding et al. demonstrated a varying patterns of CT abnormalities in various stages of the disease, and most importantly showed that over one-fifth of the patients did not show any CT abnormalities until after 4 days of symptom onset.6 The authors also showed that the disease findings changed rapidly up to 10 days of initial symptoms and stabilized thereafter, reflecting the pathological stages of the disease. Similarly, Francone et al. in their analysis involving 130 patients, demonstrated an increase in CT severity score after 7 days of symptom onset when compared to early imaging.7 Although a very early CT imaging of the lungs may underestimate the disease severity, early CT might help in establishing the baseline status of lung parenchyma and detect other underlying pathologies that might characterize disease progression.

Percentage of lung aeration of less than 73% at admission on lung CT imaging is associated with higher intensive care admissions and mortality.8 Higher CT severity scores have also been shown to predict clinical severity and progression, need for mechanical ventilation, and thus can supplement the other clinical and laboratory parameters for triaging the patients to intensive care units and early aggressive and appropriate therapy.7,9,10

This brings to a rather perplexing situation with a difficult question, if or not to order a CT imaging in the early stage of COVID-19. The early use of CT imaging of lungs in confirmed cases of COVID-19 is a predicament that we cannot even conjecture. The scientific understanding of the disease is in continuous influx, so is the knowledge on CT findings of COVID-19. Current literature has indubitably shown the usefulness of lungs CT imaging in the diagnosis, staging, triaging, and prognosis of patients with COVID-19 disease. The clinician should be aware of limitations, atypical presentations, the time frame of the disease during which the imaging is undertaken to maximize the utility of early CT in a devastating pandemic of COVID-19.

We would like to conclude by the famous quote of John Milton from Paradise Lost, “For good unknown sure is not had or had and yet unknown is has had not at all”. Despite having the CT imaging, if one does not know when and how to use it, it is as had not at all.

ORCID

Deepak Govil https://orcid.org/0000-0002-4624-1614

G Praveen Kumar https://orcid.org/0000-0002-2875-5726.

REFERENCES

1. WHO Coronavirus Disease (COVID-19) Dashboard|WHO Coronavirus Disease (COVID-19) Dashboard [Internet]. [cited 2021 Jan 27]. Available from: https://covid19.who.int/.

2. Clinical Spectrum|COVID-19 Treatment Guidelines. [cited 2021 Jan 23]. Available from: https://www.covid19treatmentguidelines.nih.gov/overview/clinical-spectrum/.

3. Berlin DA, Gulick RM, Martinez FJ. Severe Covid-19. N Engl J Med 2020 [cited 2021 Jan 23];383(25):2451–2460. DOI: 10.1056/NEJMcp2009575.

4. Henry BM, De Oliveira MHS, Benoit S, Plebani M, Lippi G. Hematologic, biochemical and immune biomarker abnormalities associated with severe illness and mortality in coronavirus disease 2019 (COVID-19): a meta-analysis. Clin Chem Lab Med 2020;58(7):1021–1028. DOI: 10.1515/cclm-2020-0369.

5. Aalinezhad M, Alikhani F, Akbari P, Rezaei MH, Soleimani S, Hakamifard A. The relationship between CT severity score and capillary blood oxygenation saturation in patients with COVID-19 infection. Indian J Crit Care Med 2021;25(3):279–283.

6. Ding X, Xu J, Zhou J, Long Q. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information. 2020;(January).

7. Francone M, Iafrate F, Masci GM, Coco S, Cilia F, Manganaro L, et al. Chest CT score in COVID-19 patients: correlation with disease severity and short-term prognosis. Eur Radiol 2020;30(12):6808–6817. DOI: 10.1007/s00330-020-07033-y.

8. Colombi D, Bodini FC, Petrini M, Maffi G, Morelli N, Milanese G, et al. Well-aerated lung on admitting chest CT to predict adverse outcome in COVID-19 pneumonia. Radiology 2020;296(2):E86–E96. DOI: 10.1148/radiol.2020201433. Available from: /pmc/articles/PMC7233411/?report=abstract.

9. Rubin GD, Ryerson CJ, Haramati LB, Sverzellati N, Kanne JP, Raoof S, et al. The role of chest imaging in patient management during the COVID-19 pandemic: a multinational consensus statement from the Fleischner society. Chest 2020;158(1):106–116. DOI: 10.1016/j.chest.2020.04.003.

10. Mahdjoub E, Mohammad W, Lefevre T, Debray M-P, Khalil A, Study Group. Admission chest CT score predicts 5-day outcome in patients with COVID-19. Intensive Care Med 2020;46(8):1648–1650. DOI: 10.1007/s00134-020-06118-y.

________________________
© The Author(s). 2021 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by-nc/4.0/), which permits unrestricted use, distribution, and non-commercial reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.