Materials and Methods
A multicentre prospective study of consecutive cases was conducted across seven centres in two large cities in Western India- Mumbai and Ahmedabad.
Two of the five centres in Mumbai were large hospitals, one private and one public hospital, and the other three were stand alone diagnostic centres, the two Ahmedabad centres were stand alone diagnostic centres. This provided a wide spectrum of patients. All CT studies suggestive of COVID-19 pneumonia based on well-documented features in literature were collated. These were evaluated independently by three radiologists with 30 years, 15-year and 8-year experience to confirm the imaging diagnosis of COVID pneumonia. The RT-PCR values were retrospectively obtained. Based on the RT-PCR values the CT studies were grouped into three groups – Positive, Negative and unknown. The unknown group were individuals who did not want to reveal their RT-PCR status or self-isolated based on CT results.
The CT features from all three groups were compared to evaluate any communality or discordance.
The CT features evaluated were as follows:
-
Lung opacity type:
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Ground glass[[5], [6], [7], [8]]
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Consolidation[[6], [7]]
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Mixed pattern of consolidation/ground glass
-
Location of abnormality:
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Subpleural, peribronchovascular, mixed[[9]]
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Anterior, posterior[[10]]
-
Upper lobe, lower lobe, multi-lobar.
-
Morphology of opacity:
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Crazy paving[[5], [11], [12]]
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Atoll sign[[13], [14]]
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Halo sign[[8], [15]]
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Vacuolar sign[[16]]
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Prominent vessels in opacity[[7], [8]]
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Dilated bronchioles in opacity[[7], [17], [18]]
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Subpleural curvilinear fibrosis.[[13]]
Results
Patient characteristic
Totally, 2,581 patients with positive CT findings for COVID pneumonia were collated. Of them 825 were females and 1,756 were male patients. The age group included patients from 28 years to 90 years; mean age of 60 +/-30 years.
CT evaluation in RT PCR Subgroups: [[Table 1]]
Table 1
Subgroup features
|
Group A (n=1445)
|
Group B (n=477)
|
Group C (n=659)
|
Total (n=2581)
|
Statistical Significance P
|
-
|
56%
|
18.5%
|
25.5%
|
-
|
-
|
Mixed (Peripheral + Central)
|
923 63.9%
|
254 53.2%
|
349 53%
|
1526 59.12%
|
|
Peripheral
|
499 34.5%
|
211 44.2%
|
285 43.2%
|
995 38.55%
|
<0.001
|
Central
|
23 1.6%
|
12 2.5%
|
25 3.8%
|
60 2.33%
|
|
Posterior
|
133092%
|
438 91.8%
|
607 92.1%
|
2375 92.0%
|
|
Anterior
|
115 7.9%
|
39 8.1%
|
52 7.9%
|
206 8.0%
|
0.001
|
GGO (Pure GGO)
|
1 105 76.5%
|
392 82.2%
|
546 82.8%
|
2043 79.15%
|
|
Consolidations
|
75 5.2%
|
10 2.1%
|
9 1.4%
|
94 3.64%
|
<0.001
|
Mixed (GGO + Consolidations)
|
265 18.3%
|
75 15.7%
|
104 15.8%
|
444 17.21%
|
|
Upper
|
43 3%
|
17 3.5%
|
36 5.4%
|
96 3.7%
|
|
Lower
|
246 17%
|
169 35.4%
|
242 36.7%
|
657 25.4%
|
<0.001
|
Multilobar
|
115680%
|
291 61%
|
381 57.9%
|
1828 70.9%
|
|
Group A - 1445 (56%) positive RT PCR.
Group B - 477 (18.5%) negative initial RT PCR.
Group C - 659 (25.5%) unknown RT PCR results.
CT Features across subgroups: [[Table 2]]
Table 2
CT features across subgroups
Pattern
|
Percentage n=2581
|
Predominant GGO
|
94.8%
|
Predominant Peripheral distribution
|
38.55%
|
Mixed (Central and peripheral) distribution
|
59.12%
|
Subpleural lines
|
45.3%
|
Crazy Paving
|
17.7%
|
Halo/reverse halo sign
|
17.9%
|
Prominent vessels
|
24.7%
|
Atoll sign
|
5%
|
Vacuolar sign
|
14.4%
|
Predominant CT features observed in all the patients were Ground glass densities (94.8%), in mixed distribution: peripheral and central (59.12%), in the posterior segments (92%) and multilobar involvement in 70.9% patients.
The ancillary features like Crazy Paving, Atoll sign, halo sign, prominent vessel, prominent bronchiole and vacuolar signs were seen in smaller groups of patients; Collectively seen in 17-45% of the patients.
Discussion
COVID-19 is a highly infectious disease caused by a single-stranded RNA corona virus- SARS COV 2.[[19]] The main routes of spread are human to human via droplets as well as surface contamination. The key to control of COVID-19 is to break the human to human contact chain. To achieve this, early detection and prompt isolation is imperative. RT-PCR is the current gold standard to detect SARS-CoV-2; however, the false negative rate ranges from 30 to 40%.[[1], [2]] There are numerous reasons for this high false negative rate, these are related to sampling, transportation and processing errors. RT-PCR may also be negative if the viral load is low, a second/third or fourth RT-PCR is positive.[[3], [4]] Sensitivity of RT-PCR is maximum between 5th and 7th day, lower before day 5, and peters off after day 7 of contracting the infection.[[9], [20]] Additionally in resource constrained regions RT-PCR may not be freely available, or if available with a significant turnaround time spanning from 24 to 48 hrs. The accuracy may be improved in certain centres with better training and facilities; however, COVID-19 being a global pandemic it is difficult to ensure uniform quality. Thus, the main concerns are the high false negative rate, in resource constrained environments where RT-PCR is not freely available or with long turn around times. Undetected individuals are infectious and unless isolated, will be mediums for transmission of SARS COV 2, thus perpetuating the pandemic.[[21], [22], [23]]
Symptomatology is also not a criteria. Numerous studies have documented asymptomatic individuals as well as symptomatic patients in the pre symptomatic phase are known to transmit the infection.[[24]] CT screening of asymptomatic RT-PCR positive individuals on the diamond princess cruise ship showed findings of pneumonia in 54%.[[25]] Numerous other studies have also supported this finding of asymptomatic with positive CT features.[[26]]
In view of these limitations of RTPCR there is need to increase the accuracy of RTPCR or supplement with another diagnostic technique to reduce the false negative rate thus increasing the accuracy of detection of SARS COV-2.
Corona viruses are characterised by spike proteins which are optimised to engage human ACE 2 receptors. Gaining entry into the cell via proteolytic action and membrane fusion. ACE 2 receptors are in abundance in type 2 alveolar epithelial cells, GI tract, heart, endothelium and kidney. The lungs are the most vulnerable because of their large surface area, as well as type 2 alveolar cells act as a reservoir for viral replication. After gaining entry into the cell, viral genome replication occurs triggering apoptosis, release of pro inflammatory cytokines, exudation into alveolar space with associated diffuse alveolar damage.[[19], [27], [28]] These appear as ground glass densities on imaging.[[5], [6], [7], [8]] With increasing body immune response there is increasing exudation resulting in consolidation.[[6], [7], [27]] As a result a mixed appearance of ground glass densities and consolidation may be seen on imaging.[[29], [30], [31]] As the infectious process and body responses mount different features of progression and regression, a variety of internal appearances may be seen on imaging. The internal contents may be visualised such as central clearing of ground glass, known as Atoll sign.[[13], [14]]
Progression of inflammation along the periphery of consolidation is seen as ground glass on the periphery of consolidation - Halo sign.[[8], [15]] There may be interlobular septal thickening due to prominence off lymphatics superimposed on ground glass densities, appearing as a crazy paving[[5], [11], [12]] appearance.[[32]] Presence of ACE 2 receptors in endothelium result in inflammation of the vessels, vessels appear prominent in the affected areas.[[19]] There may be intravascular thrombosis with resultant hemorrhagic infarction. Most cases resolve with fibroblast proliferation which may leave a residue of organising pneumonia[[33]] or fibrosis particularly in the subpleural regions.[[13]]
In a small percentage the alveolar cell damage progresses to acute respiratory distress syndrome resulting in a white out appearance to the lungs.[[27]]
CT is extremely sensitive to early pathological changes in the alveoli as demonstrated with HRCT in interstitial lung disease over the last few decades. This high sensitivity of CT with relatively typical features for COVID-19 has been borne out by numerous studies.[[1], [2], [5], [34], [35], [36]]
In our study we found similar findings. In a large cohort of 2,581 patients ground glass densities/consolidations in a posterior, peripheral location often with multilobar involvement were found in COVID 19 pneumonia regardless of the PCR status, positive, negative and unknown [[Figures 1], [2], [3]].
Figure 1 (A-C): Typical bilateral peripheral /sub pleural and central ground glass densities suggesting COVID-19 Pneumonia. These examples demonstrate communality of appearances irrespective of RT PCR status
Figure 2 (A-C): Subtle bilateral peripheral/sub pleural ground glass densities suggesting COVID-19 pneumonia in pandemic.Demonstrating communality of appearances in a pandemic irrespective of RT PCR status
Figure 3 (A-C): Peri- bronchovascular ground glass densities indicative of atypical appearance of COVID 19 pneumonia.These examples also demonstrate communality of appearances irrespective of RT PCR Status
Indicating the specificity of CT features of COVID 19 in the setting of this pandemic. As well as the positivity of CT in the setting of negative RT-PCR.[[36]]
Ancillary findings such as crazy paving, Atoll sign, Halo sign, prominent vessel, prominent bronchiole and vacuolar sign as in other studies are seen in our study also regardless of RT PCR status, however, are not specific for COVID 19.
This is not surprising as RTPCR and CT scan evaluate different aspects of COVID 19.
Then why is CT not used to reduce the false negative rate thus helping curb the spread of SARS-CoV2.
Guidelines issued early during the pandemic dissuaded the usage of CT.[[37]] The main reasons for not advocating CT were[[37], [38], [39], [40]]
-
Low specificity of CT,
-
Advocacy of CT may overwhelm existing resources as well as may reduce access of non covid patients to imaging suites,
-
CT may act as a potential disease transmitter via surface contamination, especially exposure to imaging department staff
-
Utilisation of ionising radiation.
Most of these guidelines were constituted in the early part of the pandemic, in fact coinciding with WHO declaration of a Pandemic. Five months have passed, the pandemic has raged on with no sign of abatement. The number of cases has increased from hundred thousand to 21.5 million- 250 x increase! As we reflect back, all these points of concern can be addressed hopefully with a fresh view for the future.
The specificity of CT though has been questioned especially in its ability to differentiate from other viral pneumonias and other chronic lung diseases such as small airway disease, chronic eosinophilic pneumonia, hypersensitivity pneumonitis. There are numerous publications which have helped differentiate between these different pathological processes.[[41], [42]] SARS, H1N1 and Covid-19 have similar specific appearances of multi focal areas of ground glass density in a subpleural location with lower lobe preponderance.[[14], [32], [43], [44], [45], [46], [47], [48], [49], [50], [51]] Differentiation between these is difficult as the appearances overlap.
However, in a pandemic due to the sheer propensity of a number of cases, these typical patterns as well as atypical patterns point towards COVID-19, other diseases recede into the background due to sheer numbers. Sensitivity is the key, not specificity.[[40]] Social distancing has been advocated extensively through every medium possible, health care establishments have become hotspots for COVID 19. This has resulted in significant drop in non-Covid imaging volumes, thus lack of access to imaging suites for non-Covid patients does not really arise. In fact imaging facilities are extremely under utilised : in a recent study imaging volumes plummeted 75 to 90%. Imaging studies done for emergency medical conditions such as stroke etc., also reduced significantly.[[52]] Diseases actually disappeared in the pandemic providing health care establishments capabilities to cater to COVID 19 patients.[[52], [53], [54]]
Protocols for surface decontamination and infection control procedures are now very well documented. Personal protective equipment, surface decontamination of CT gantry and table as well as air exchanges[[55], [56]] to remove any aerolisation are required to be practiced by all imaging facilities as asymptomatic COVID positive patients may be scanned for other symptoms, COVID pneumonia being incidentally detected.
There are also numerous means to reduce the radiation and achieve low dose CT studies minimising the utilisation of ionising radiation. Modulating tube current to body habitus, increasing the slice thickness to 1.5 mm, increasing the pitch to 1.5, collimating scan to cover apices to bases helps to reduce scan time and MA thus reducing MAs. The KV may be reduced in thinner individuals to 100Kv. Iterative reconstructions further help to reduce radiation dose. In a recent study utilising these parameters the CTDI vol was reduced significantly from 3.4mGy to 0.4 mGy.[[57], [58]]
A number of studies from China, where the pandemic started, have advocated the utilisation of CT as a tool to detect COVID-19, as well as also have alluded to the fact that CT features are independent of the RT PCR status.[[1], [2], [44], [58], [59]] China, the most populous country,[[60]] where the pandemic started has reported only 84,000 infections out of a world total of 21.5 million with a very low level of new infections.[[61]]
In this study we did not attempt to determine the sensitivity of CT vis a vis RT-PCR as all patients with positive RT-PCR were not scanned. Negative CT studies with positive RT-PCR is well documented. We also did not attempt to study the false positive rate of CT though most RT-PCR negative patients underwent respiratory panel for atypical pneumonia as co-infections between atypical pneumonia and SARS COV-2 has been documented.[[62]]