Hong Kong Med J 2020 Jun;26(3):167–8 | Epub 11 Jun 2020
Hong Kong Academy of Medicine. CC BY-NC-ND 4.0
EDITORIAL
Role of computed tomography imaging in identifying COVID-19 cases
Samuel YS Wong, MPH, MD1,2; KO Kwok, PhD1,2,3
1 Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong
2 Shenzhen Research Institute, The Chinese University of Hong Kong, Shenzhen, China
3 Stanley Ho Centre for Emerging Infectious Diseases, The Chinese University of Hong Kong, Hong Kong
Corresponding author: Prof Samuel YS Wong (yeungshanwong@cuhk.edu.hk)
At the time of writing, more than 4.1 million cases
of coronavirus disease 2019 (COVID-19) have
been reported worldwide with more than 280 000
deaths.1 The first case in Hong Kong was confirmed
on 23 January 2020, and a total of 1046 cases with
four deaths have been reported to date.2 Generally,
individuals with severe acute respiratory syndrome
coronavirus 2 (SARS-CoV-2) infection develop
COVID-19-associated symptoms. However, similar
to influenza, asymptomatic carriers of SARS-CoV-2
have been documented in affected populations such
as Hong Kong,2 Italy,3 and China.4
Understanding the clinical, laboratory, and
imaging characteristics of COVID-19 helps identify
suspected infection.5 6 However, in places where
significant local spread of COVID-19 infection has
occurred, it can be difficult to differentiate cases
from other respiratory diseases with similar clinical
presentation. Reverse transcription-polymerase
chain reaction (RT-PCR) is the most commonly
used diagnostic tool for screening for SARS-CoV-2.7
Nevertheless, various initial (not serial) test
sensitivity rates have been reported, for example
70.6% (36/51),8 83.3% (30/36),9 97.0% (162/167),10
and 97.5% (586/601).11 False negative results may
be caused by various factors including differences
in sampling of specimens in terms of temperature
and time of specimen preservation.12 False negative
results produce false reassurance in patient treatment
and may increase the difficulty in controlling the
spread of the disease in the community. Therefore,
other complementary diagnostic tools or methods
may be needed to reduce false negative results.
Computed tomography (CT) imaging of the chest
has been suggested as the first-line imaging modality
among patients who are highly suspected of
SARS-CoV-2 infection with lung abnormalities.7 10 13
Computed tomography imaging can be used to
monitor disease progress and assess the severity of
disease.10 13 Several studies had shown that specific
features and differences in imaging features can help
provide information on the severity of the disease.
In the study by Woo et al,14 the authors described the
un-enhanced CT imaging findings of three critically
ill patients with COVID-19 and all presented with consolidations in addition to the characteristic
ground glass opacities with crazy paving opacities.
They suggested that CT findings of consolidation
may be used as prognostic factors indicating
more severe disease although future larger studies
are needed to confirm this postulation. A study
conducted in mainland China reported groundg-lass
opacities in early disease, followed by crazy
paving and increasing consolidations in the later
course of the disease,15 whereas others have reported
a predominance of ground-glass opacification with
occasional consolidation on CT.16
Chest CT examinations may also be useful for
early screening of patients with suspected COVID-19,7
especially among those with negative results on
RT-PCR screening.10 In this issue of Hong Kong
Medical Journal, Kwok et al17 describe a 63-year-old
Chinese male from Wuhan, China, who presented to
the emergency department and was later confirmed
with COVID-19 using RT-PCR from nasopharyngeal
aspirate and throat swab specimens. Although
serial chest plain radiographs were negative, high-resolution
CT showed characteristics of COVID-19
infection. Therefore, the authors suggested
that high-resolution CT can be useful for early
radiological assessment for patients with negative
chest radiographs. A study conducted in Wuhan
population on around 1000 patients with COVID-19
suggested that chest CT may have higher sensitivity
for diagnosis when compared with RT-PCR on throat
swab samples.11 Another smaller study also reported
similar findings on a consecutive 51 patients,8 and a
case series in this issue of Hong Kong Medical Journal
found that chest CT had a low rate of misdiagnosis
of COVID-19.14
Most published studies include a small
number of patients. Nevertheless, the radiological
characteristics of patients with COVID-19 described
above suggest that chest CT may be useful as a
complement to RT-PCR tests, especially when the
diagnosis is in doubt. However, before one can
recommend chest CT as the main screening modality
for diagnosing COVID-19, several factors would
need to be considered. First as a screening modality,
the test should be simple and with good accessibility. The cost and availability of CT examinations for
diagnosis would likely be a significant limiting factor
for its use and access in different health systems.
Second, we still need more information on the
radiological features associated with the natural
disease course of COVID-19, such that we can be
certain that patients can be diagnosed early and
timely with CT in the disease course. Finally, we
need to further characterise the radiological features
of chest CT among asymptomatic carriers who are
suspected to have history of disease exposure. Upon
data availability, chest CT will be more useful as an
aid to RT-PCR testing in clinical situation where the
diagnosis is uncertain.
Author contributions
All authors contributed to the concept or design of the study, drafting of the manuscript, and critical revision of the
manuscript for important intellectual content. All authors
had full access to the data, contributed to the study, approved
the final version for publication, and take responsibility for its
accuracy and integrity.
Conflicts of interest
All authors have disclosed no conflicts of interest.
Funding/support
This work was partially supported by Research Fund for the Control of Infectious Diseases, Hong Kong (Ref: INF-CUHK-1); General Research Fund (Ref: 14112818); Health
and Medical Research Fund (Ref: 17160302, 18170312); and
Wellcome Trust (UK, 200861/Z/16/Z).
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