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COVID-19 pneumonia: the great radiological mimicker


Coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has rapidly spread worldwide since December 2019. Although the reference diagnostic test is a real-time reverse transcription-polymerase chain reaction (RT-PCR), chest-computed tomography (CT) has been frequently used in diagnosis because of the low sensitivity rates of RT-PCR. CT findings of COVID-19 are well described in the literature and include predominantly peripheral, bilateral ground-glass opacities (GGOs), combination of GGOs with consolidations, and/or septal thickening creating a “crazy-paving” pattern. Longitudinal changes of typical CT findings and less reported findings (air bronchograms, CT halo sign, and reverse halo sign) may mimic a wide range of lung pathologies radiologically. Moreover, accompanying and underlying lung abnormalities may interfere with the CT findings of COVID-19 pneumonia. The diseases that COVID-19 pneumonia may mimic can be broadly classified as infectious or non-infectious diseases (pulmonary edema, hemorrhage, neoplasms, organizing pneumonia, pulmonary alveolar proteinosis, sarcoidosis, pulmonary infarction, interstitial lung diseases, and aspiration pneumonia). We summarize the imaging findings of COVID-19 and the aforementioned lung pathologies that COVID-19 pneumonia may mimic. We also discuss the features that may aid in the differential diagnosis, as the disease continues to spread and will be one of our main differential diagnoses some time more.


Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), a novel coronavirus, was found to be associated with a pneumonia outbreak firstly reported in Wuhan, China, in December 2019 [1, 2]. The disease subsequently called Coronavirus Disease 2019 (COVID-19) has caused a lot of cases worldwide and was declared as a pandemic by the World Health Organization (WHO) on March 11, 2020 [3].

The reference diagnostic test for COVID-19 pneumonia is real-time reverse transcription-polymerase chain reaction (RT-PCR). The specificity of RT-PCR is approximately 95%, but the sensitivity of RT-PCR at the initial presentation is 60–71% because of kit performance, sampling and transportation limitations [4,5,6]. Because of these low sensitivity rates and the need for rapid diagnosis, non-contrast chest-computed tomography (CT) has been frequently used in the current pandemic condition. Also, several cases with initial negative RT-PCR results are reported to have positive chest CT findings [4]. Although recent studies have reported the high sensitivity of chest CT for diagnosis with RT-PCR as a reference, the specificity of CT is relatively low. In a recent meta-analysis, chest CT had a pooled sensitivity of 94% and a specificity of 37% [4, 5, 7]. This may be explained by the fact that besides previously reported typical appearance, COVID-19 has various CT findings, and some chest CT findings of COVID-19 may closely resemble the imaging findings of some other pathologies presenting with airspace disease.

In this pictorial review, CT findings of COVID-19 pneumonia and imaging features of COVID-19 pneumonia that may mimic other infectious and non-infectious diseases will be summarized.

CT findings of COVID-19 pneumonia

Typical CT findings of COVID-19 pneumonia are predominantly peripheral, bilateral ground-glass opacities (GGOs), consolidations, combination of GGOs with consolidations, and GGOs superimposed with interlobular/intralobular septal thickening creating a “crazy-paving” pattern and subpleural linear opacities. Air bronchograms, vascular enlargement, CT halo sign, and reverse halo sign are also reported. Cavitation, pleural or pericardial effusion, and lymphadenopathy are rarely observed [8,9,10,11].

Findings vary and usually progress during the course of the disease. In the early phase, the predominant finding is unilateral or bilateral small peripheral GGOs. While the size and number of GGOs and the number of affected lobes increase, crazy-paving pattern and consolidations appear as the disease progresses. Consolidations become denser at the peak stage (Fig. 1). Approximately after 2 weeks, opacities start to resolve gradually, and residual subpleural curvilinear lines, fibrous stripes, and GGOs may be seen [9, 12, 13].

Fig. 1

CT findings of COVID-19 pneumonia. a The first CT scan obtained on illness day 4 revealed patchy GGOs in both the lungs. b On day 8, the number and size of GGOs increased. c Consolidations were the dominant CT finding on day 14

Infectious causes

Differentiation of COVID-19 pneumonia from other causes of infection is sometimes challenging, especially when it comes to viral pneumonia and other atypical pneumonia. Bai et al. reported some findings in favor of COVID-19 pneumonia rather than non-COVID pneumonia, such as the presence of GGOs, peripheral distribution, reverse halo sign, and vascular enlargement. Pleural effusion and thickening, lymphadenopathy, and central distribution are less likely to be seen in COVID-19 pneumonia [14]. By contrast, some typical findings described for COVID-19 pneumonia can be seen in non-COVID pneumonia or other pathologies. For example, both the reverse halo sign and CT halo sign have also been previously described in fungal infections and tuberculosis [15,16,17].

The diagnostic association of CT findings for different infectious diseases is summarized in Table 1.

Table 1 CT findings of COVID-19 pneumonia and other infectious diseases

Viral pneumonia

Chest CT findings of a wide range of viruses have been previously described, such as influenza virus, parainfluenza virus, adenovirus, respiratory syncytial virus (RSV), cytomegalovirus (CMV), human metapneumovirus (HMPV), and other coronaviruses. Viral pneumonia commonly manifests as interstitial pneumonia with nonspecific imaging findings, such as GGOs, patchy consolidations, peribronchovascular thickening, centrilobular nodular opacities, a “tree-in-bud” pattern, and interlobular septal thickening [18, 19] (Fig. 2). Unlike in other viral pneumonia, centrilobular nodular opacities are not common in COVID-19 pneumonia.

Fig. 2

Other infectious diseases that COVID-19 pneumonia may mimic. a Axial CT image shows a consolidation with rounded morphology in the right lower lobe. Hemophilus influenza was detected in the respiratory panel. b Similar round consolidation is observed in the right upper lobe. The patient was tested positive on RT-PCR for COVID-19 pneumonia. The respiratory panel was negative for other causes. c Axial CT image shows GGOs with associated consolidations in a patient with Hemophilus influenza pneumonia. d In a patient diagnosed with COVID-19 pneumonia, bilateral GGOs with consolidations are observed on axial CT image similar to (c). e Axial CT image shows GGOs in bilateral upper lobes in an immunosuppressed patient compatible with PJP infection. f Bilateral upper lobe GGOs in a patient diagnosed with COVID-19 pneumonia. GGOs superimposed on emphysematous parenchyma may interfere with PJP. Subpleural sparing is in favor of PJP. g Axial CT image shows bilateral consolidative opacities in lower lobes in a patient diagnosed with influenza A pneumonia. h In a patient diagnosed with COVID-19 pneumonia, bilateral opacities are observed in lower lobes

Some typical findings of COVID-19 pneumonia, such as the subpleural distribution of opacities and a crazy-paving pattern, were also described for pneumonia caused by other coronaviruses, severe acute respiratory syndrome virus (SARS), and middle east respiratory syndrome virus (MERS), that caused outbreaks previously [20,21,22]. The absence of cavitation, pleural effusion, and lymphadenopathy are common in both COVID-19 pneumonia and SARS [20].

Bacterial pneumonia

Although viral and bacterial pneumonia have overlapping imaging findings, the latter generally causes lobar/segmental pneumonia or bronchopneumonia and focal or multifocal consolidations. Less commonly, GGOs may be seen. Peribronchial thickening, centrilobular nodular opacities, and pleural effusion are much more frequent in bacterial pneumonia than in COVID-19 pneumonia [18, 23] (Fig. 2).

Pneumocystis jirovecii pneumonia (PJP)

GGOs and crazy-paving pattern are also predominant in PJP, especially in an immunosuppressed host. Relative central lung involvement, upper lobe predilection, and pulmonary cysts in PJP, unlike in COVID-19 pneumonia, can help in differential diagnosis [24] (Fig. 2).

Fungal pneumonia

Fungal pneumonia may have various imaging findings, such as GGOs, nodular opacities, a tree-in-bud pattern, and cavitating consolidations [25, 26]. A CT halo sign in which the surrounding GGOs represent hemorrhage has been commonly described in angioinvasive aspergillosis. In addition, a CT halo sign may be seen in candidiasis, cryptococcosis, and coccidioidomycosis [17, 26]. The reverse halo sign was previously reported in mucormycosis, invasive pulmonary aspergillosis, paracoccidioidomycosis, histoplasmosis, and cryptococcosis [15]. Although some CT findings of fungal pneumonia overlap with those of COVID-19 pneumonia, the presence of centrilobular nodular opacities, cavitation, chest wall invasion, pleural effusion, and lymphadenopathy favor the diagnosis of a fungal infection [25, 26] (Fig. 3).

Fig. 3

Fungal infection and COVID-19 pneumonia. a, b Axial (a) and sagittal (b) CT images show bilateral nodular opacities in a patient diagnosed with microbiologically proven aspergillosis. c, d Axial (c) and sagittal (d) CT images show nodular opacities in a COVID-19 patient. Note that the central part of the opacities in COVID-19 pneumonia has a relatively lower density (d)


A recent meta-analysis reported bacterial and viral co-infection rates among hospitalized COVID-19 patients as 7% and 3%, respectively. Moreover, intensive care unit (ICU) patients showed a higher bacterial co-infection rate (14%) [27]. Although COVID-19 pneumonia may mimic other lung infections, the presence of atypical findings, such as pleural effusion, lymphadenopathy, lobar consolidation, or centrilobular nodular opacities, should raise a concern about super-infection or co-infection in patients diagnosed with COVID-19 pneumonia [18] (Fig. 4).

Fig. 4

Bacterial super-infection in COVID-19 pneumonia. CT scan was obtained in a patient previously diagnosed with COVID-19 pneumonia upon clinical deterioration. Axial CT image shows bilateral peribronchovascular nodular GGOs, centrilobular nodular opacities, and consolidations in the right lung. Peripherally located GGOs are observed in the right middle lobe. Respiratory tract sample was positive for Hemophilus influenza

Non-infectious causes

The diagnostic association of CT findings for COVID-19 pneumonia and different non-infectious differential diagnoses are summarized in Table 2.

Table 2 CT findings of COVID-19 pneumonia and non-infectious diseases

Pulmonary edema

In pulmonary edema, diffuse or patchy GGOs can be observed similar to those in COVID-19 pneumonia. However, the central and gravitational predominance of GGOs and the other accompanying findings, such as interlobular septal thickening, vascular redistribution, peribronchovascular cuffing, cardiomegaly, and pleural effusion, can help in distinguishing cardiogenic pulmonary edema from COVID-19 pneumonia [28] (Fig. 5).

Fig. 5

Distribution of ground-glass opacities in pulmonary edema and COVID-19 pneumonia. a, b Bilateral predominantly central GGOs are observed in a patient with pulmonary edema. Subpleural sparing is seen. There is also cardiomegaly and bilateral pleural effusion (asterisks). c, d In two different COVID-19 patients, diffuse GGOs are seen in bilateral upper lobes on axial CT images. The absence of ancillary findings such as pleural effusion and cardiomegaly may help in the differential diagnosis

By contrast, COVID-19-related GGOs may interfere with asymmetrical edema findings such as mitral regurgitation-associated edema or neurogenic edema. In mitral regurgitation due to right upper pulmonary vein-directed reflux, edema findings tend to occur in the right upper lobe [29]. Neurogenic pulmonary edema can be seen in patients with brain injury, and in nearly half of the cases, parenchymal opacities are located in apices [30].

Pulmonary hemorrhage

GGOs and consolidative opacities are also commonly seen in many causes of alveolar hemorrhage, such as collagen-vascular diseases, idiopathic pulmonary hemosiderosis, vasculitis (eosinophilic granulomatosis with polyangiitis, Goodpasture syndrome, granulomatosis with polyangiitis), pulmonary contusion, and anticoagulation therapy [31, 32]. (Fig. 6). Bilateral, focal, or patchy opacities and crazy-paving pattern may be observed in pulmonary hemorrhage. Other than parenchymal opacities, in pulmonary vasculitis, nodules with or without cavitation, centrilobular nodules, a CT halo sign due to perilesional hemorrhage, airway involvement, and pleural effusion may be observed [17, 33]. The reverse halo sign is also reported in granulomatosis with polyangiitis [15]. Associated CT findings, patient history, clinical findings, and serologic tests are essential for differential diagnosis.

Fig. 6

COVID-19 pneumonia-mimicking vasculitic diseases. a Axial CT image of a patient diagnosed with granulomatosis with polyangiitis shows bilateral upper lobe GGOs with superimposed septal thickenings due to hemorrhage. Bilateral minimal pleural effusion is seen (asterisks). b Similar bilateral upper lobe GGOs with superimposed septal thickenings are observed in COVID-19 pneumonia. c Bilateral mostly peripheral subtle GGOs in a patient diagnosed with eosinophilic granulomatosis with polyangiitis (Churg-Strauss)(arrows). d Peripheral subtle GGOs are seen in a COVID-19 patient as an early finding (arrows)


Focal GGOs or opacities with rounded morphology may be encountered in COVID-19 pneumonia [10]. In the presence of focal GGOs, neoplastic processes should also be considered. Preinvasive lesions (atypical adenomatous hyperplasia and adenocarcinoma in situ), early-stage adenocarcinoma (Fig. 7), and multifocal adenocarcinoma (Fig. 8) may have variable imaging features, such as pure GGOs, GGOs in combination with consolidation, nodules surrounded by a halo of GGO (CT halo sign), and GGOs with crazy-paving pattern. Air bronchograms in larger lesions, pleural effusion, and lymphadenopathy can be seen [34,35,36,37]. Similarly, mucinous adenocarcinoma metastases can manifest as focal or multifocal GGOs, consolidations, and nodules with a CT halo sign [38, 39]. Besides tumoral growth, CT halo sign can represent peritumoral hemorrhage in hemorrhagic metastases such as angiosarcoma [17] (Fig. 9).

Fig. 7

COVID-19 pneumonia-mimicking adenocarcinoma of the lung. a Axial chest CT image shows a rounded focal opacity histopathologically proven to be adenocarcinoma in the right upper lobe (arrow). bd CT images of three different COVID-19 patients demonstrating unifocal round opacities mimicking adenocarcinoma (arrows)

Fig. 8

COVID-19 pneumonia-mimicking multifocal adenocarcinoma of the lung. a, b Multiple randomly distributed GGOs with superimposed septal thickening in both lungs, histopathologically proven to be adenocarcinoma. c, d Multiple GGOs in a COVID-19 patient with rounded morphology and superimposed septal thickenings mimicking multifocal adenocarcinoma

Fig. 9

COVID-19 pneumonia mimicking hemorrhagic metastases. a Multiple bilateral GGOs with superimposed intralobular septal thickenings in a patient with hemorrhagic epithelioid angiosarcoma metastases. b In a patient diagnosed with COVID-19 pneumonia, bilateral multiple GGOs with superimposed intralobular septal thickenings are observed in the upper lobes

Organizing pneumonia

Organizing pneumonia can be either cryptogenic or secondary to other lung or systemic diseases (infection, drug toxicity, radiotherapy related, vasculitis, collagen vascular diseases, and interstitial lung disease) [40,41,42]. Typical CT findings are bilateral, asymmetrical, peribronchovascular, and subpleural GGOs and consolidations [41, 43]. Uncommonly, crazy-paving pattern may be seen [36]. Another finding, the reverse halo sign, which was also reported in COVID-19 pneumonia, was firstly described in organizing pneumonia [44] (Fig. 10).

Fig. 10

The reverse halo sign in cryptogenic organizing pneumonia and COVID-19 pneumonia. a Axial CT image showing organizing pneumonia presenting with reverse halo sign (arrows). b A rounded opacity with reverse halo sign and surrounding GGOs in the right lower lobe in COVID-19 pneumonia (arrow). GGOs are seen in the right middle lobe and medial right lower lobe (white arrows)

Organizing pneumonia may develop during the course of radiotherapy-induced lung disease (RILD) [45]. GGOs and/or consolidation, with superimposed septal thickening causing a crazy-paving pattern, and a CT halo sign may occur in the early phase of RILD [46, 47].

Another cause of secondary organizing pneumonia is drug toxicity. Drug-induced lung diseases may present with variable imaging findings according to the underlying mechanism (hemorrhage, diffuse alveolar damage, edema, and interstitial disease) [48] (Fig. 11).

Fig. 11

Drug toxicity and COVID-19 pneumonia. a Bilateral peripheral GGOs are observed in the axial CT image of a patient receiving bleomycin chemotherapy for testicular malignancy. Following the discontinuation of the drug, opacities were completely resolved. b In a patient diagnosed with COVID-19 pneumonia, bilateral multiple GGOs resembling (a) are seen

Pulmonary alveolar proteinosis

The most common CT findings of pulmonary alveolar proteinosis are bilateral, diffuse, or patchy GGOs and consolidations [49]. The crazy-paving pattern (GGOs superimposed with interlobular and intralobular septal thickening), which was recently reported in COVID-19 pneumonia, was initially described in pulmonary alveolar proteinosis [50] (Fig. 12). Increasing opacities and the presence of the pattern in COVID-19 pneumonia is thought to reflect disease progression [12].

Fig. 12

Crazy-paving pattern. a, b Crazy-paving pattern in pulmonary alveolar proteinosis (PAP). c, d Axial CT images of a patient with COVID-19 show widespread GGOs with crazy-paving pattern in both lungs


COVID-19 pneumonia may resemble atypical sarcoidosis in some cases with patchy or nodular/mass-like GGOs, consolidations, a crazy-paving pattern, and a reverse halo sign (Fig. 13). Typical findings of sarcoidosis such as mediastinal and/or bilateral hilar lymphadenopathies and perilymphatic nodular opacities with upper lobe predilection do not match those of COVID-19 pneumonia [51, 52]. In sarcoidosis, the consolidation ring of the reverse halo sign may have nodularities due to the granulomatous process [15].

Fig. 13

The reverse halo sign in sarcoidosis and COVID-19 pneumonia. a Sarcoidosis presenting with organizing pneumonia pattern, peripheral GGOs, and reverse halo signs (arrows). b Opacities in COVID-19 pneumonia with reverse halo sign in right lower lobe (arrow). Concomitant multifocal opacities are observed

Pulmonary infarction

Peripheral GGOs and the reverse halo sign of COVID-19 pneumonia may mimic pulmonary embolism-associated parenchymal changes. Preceding peripheral GGOs may also be present in patients with pulmonary embolism before consolidation develops [53]. Supporting CT findings of the pulmonary thromboembolic disease are peripheral wedge-shaped opacities, a reverse halo sign, atelectasis, and the direct visualization of intraluminal filling defects (Fig. 14). Pleural effusion may be seen [15, 54].

Fig. 14

Pulmonary infarction and COVID-19 pneumonia. a Axial CTA image in the mediastinal window shows thrombi in pulmonary artery branches (white arrows). b In the same patient, pulmonary infarction is seen as a subpleural wedge-shaped opacity in the right lung (arrow). c Pulmonary CT angiography was obtained in a patient presented with shortness of breath to the emergency department. CT angiography showed subpleural opacities, but there was no thrombus in the related pulmonary artery branch (arrow). The patient’s COVID-19 RT-PCR result turned out to be positive

An increased incidence of pulmonary thromboembolism is reported recently in COVID-19 pneumonia [55]. Since unenhanced chest CT is used in the routine practice of COVID-19 diagnosis, one should be alert for parenchymal pulmonary infarction findings. If the patient’s condition suddenly deteriorates, pulmonary thromboembolism should be considered, and pulmonary CT angiography may be obtained.

Interstitial lung diseases

Interstitial lung diseases may also have overlapping CT findings, especially with subacute phase findings of COVID-19 pneumonia. Lower zone and peripherally distributed GGOs are reported in nonspecific interstitial pneumonia (NSIP) and desquamative interstitial pneumonia (DIP) [56, 57]. In NSIP, the crazy-paving pattern and lack of honeycombing might resemble COVID-19 pneumonia [36, 56]. While cystic changes and irregular linear opacities are observed in DIP, honeycombing is also uncommon [57] (Fig. 15).

Fig. 15

COVID-19 pneumonia-mimicking interstitial lung disease. a, b In desquamative interstitial pneumonia (DIP), bilateral peripheral GGOs are observed. c, d Axial CT image showing bilateral subpleural GGOs and opacities in a patient diagnosed with COVID-19

GGOs are the most common CT finding of lymphocytic interstitial pneumonia (LIP). Unlike in COVID-19 pneumonia, diffuse distribution rather than peripheral distribution, the presence of centrilobular nodules, lymphadenopathy, and cystic airspaces are found in LIP [58].

Acute eosinophilic pneumonia is characterized by bilateral GGOs and consolidations with random or peripheral distribution, interlobular septal thickening, and a crazy-paving pattern (Fig. 16). Pleural effusion is another commonly reported finding [59].

Fig. 16

Eosinophilic pneumonia and COVID-19 pneumonia. a Nodular GGOs are seen in the right upper lobe in a patient diagnosed with eosinophilic pneumonia (arrows). b, c Axial CT images of a patient with COVID-19 show nodular GGOs in the right lower lobe (arrows)

GGOs with lower zone predominance are also common in subacute hypersensitivity pneumonia. Additional findings such as centrilobular nodules, mosaic perfusion, and air-trapping in expiratory images can help in the differential diagnosis [60].

Aspiration pneumonia

Aspiration pneumonia also mostly involves lower lobes and the posterior lung and can manifest as patchy GGOs and/or consolidations. While the findings of bronchiolitis, such as centrilobular nodular opacities and a tree-in-bud pattern, are common in aspiration pneumonia, they are not typically found in COVID-19 pneumonia [61, 62] (Fig. 17). The knowledge of the patient’s pre-existing conditions, general and mental status may help in the differential diagnosis.

Fig. 17

Aspiration pneumonia and COVID-19 pneumonia. a The patient had a stroke and was intubated. Axial CT image shows bilateral lower lobe consolidations and centrilobular nodular opacities (arrows) suggestive of aspiration pneumonia. b Contrast-enhanced CTA was obtained for suspected pulmonary embolism in a patient diagnosed with COVID-19 pneumonia. CT image shows bilateral consolidations in lower lobes and scattered foci of GGOs (arrows)


Chest CT is an important tool in the diagnosis of COVID-19 pneumonia with high sensitivity rates. However, CT findings of COVID-19 pneumonia are rather nonspecific and variable during the disease course that may resemble numerous infectious and non-infectious diseases. The awareness and knowledge of the radiological features of these entities are essential in early diagnosis and management of precautions during the pandemic. Duration of the symptoms, background and clinical findings of the patient, ancillary imaging findings, and follow-up CT imaging when needed is helpful in the differential diagnosis.

Availability of data and materials

Data sharing is not applicable to this article as no datasets were generated or analyzed during the current study.





Coronavirus disease 2019


Computed tomography


Desquamative interstitial pneumonia


Ground-glass opacity


Human metapneumovirus


Intensive care unit


Lymphocytic interstitial pneumonia


Middle East respiratory syndrome virus


Non-specific interstitial pneumonia


Pulmonary alveolar proteinosis


Pneumocystis jirovecii pneumonia


Radiotherapy-induced lung disease


Respiratory syncytial virus


Real-time reverse transcription-polymerase chain reaction


Severe acute respiratory syndrome virus


Severe acute respiratory syndrome coronavirus 2


World Health Organization


  1. 1.

    Zhu N, Zhang D, Wang W et al (2019) A novel coronavirus from patients with pneumonia in China. N Engl J Med 382:727–733

    Article  Google Scholar 

  2. 2.

    Huang C, Wang Y, Li X et al (2020) Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China. Lancet 395:497–506

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  3. 3.

    Coronavirus Disease (2019) Accessed 19 May 2020

  4. 4.

    Ai T, Yang Z, Hou H et al (2020) Correlation of chest CT and RT-PCR testing in coronavirus disease 2019 (COVID-19) in China: a report of 1014 cases. Radiology.

    Article  PubMed  PubMed Central  Google Scholar 

  5. 5.

    Fang Y, Zhang H, Xie J et al (2020) Sensitivity of chest CT for COVID-19: comparison to RT-PCR. Radiology.

    Article  PubMed  PubMed Central  Google Scholar 

  6. 6.

    Arevalo-Rodriguez I, Buitrago-Garcia D, Simancas-Racines D et al (2020) False-negative results of initial RT-PCR assays for COVID-19: a systematic review.

  7. 7.

    Kim H, Hong H, Yoon SH (2020) Diagnostic performance of CT and reverse transcriptase-polymerase chain reaction for coronavirus disease 2019: a meta-analysis. Radiology.

    Article  PubMed  PubMed Central  Google Scholar 

  8. 8.

    Ye Z, Zhang Y, Wang Y, Huang Z, Song B (2020) Chest CT manifestations of new coronavirus disease 2019 (COVID-19): a pictorial review. Eur Radiol.

    Article  PubMed  PubMed Central  Google Scholar 

  9. 9.

    Zhou S, Zhu T, Wang Y, Xia L (2020) Imaging features and evolution on CT in 100 COVID-19 pneumonia patients in Wuhan, China. Eur Radiol.

    Article  PubMed  PubMed Central  Google Scholar 

  10. 10.

    Chung M, Bernheim A, Mei X et al (2020) CT imaging features of 2019 novel coronavirus (2019-NCoV). Radiology 295(1):202–207

    PubMed  Article  Google Scholar 

  11. 11.

    Shi H, Han X, Jiang N et al (2020) Radiological findings from 81 patients with COVID-19 pneumonia in Wuhan, China: a descriptive study. Lancet Infect Dis 20(4):425–434

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  12. 12.

    Pan F, Ye T, Sun P et al (2020) Time course of lung changes on chest CT during recovery from 2019 novel coronavirus (COVID-19) pneumonia. Radiology 295(3):715–721

    PubMed  Article  Google Scholar 

  13. 13.

    Huang G, Gong T, Wang G et al (2020) Timely diagnosis and treatment shortens the time to resolution of coronavirus disease (COVID-19) pneumonia and lowers the highest and last CT scores from sequential chest CT. AJR Am J Roentgenol.

    Article  PubMed  Google Scholar 

  14. 14.

    Bai HX, Hsieh B, Xiong Z et al (2020) Performance of radiologists in differentiating COVID-19 from viral pneumonia on chest CT. Radiology.

    Article  PubMed  PubMed Central  Google Scholar 

  15. 15.

    Marchiori E, Zanetti G, Escuissato DL et al (2012) Reversed halo sign: High-resolution CT scan findings in 79 patients. Chest 141(5):1260–1266

    PubMed  Article  Google Scholar 

  16. 16.

    Alves GRT, Marchiori E, Irion K et al (2016) The halo sign: HRCT findings in 85 patients. J Bras Pneumol 42(6):435–439

    PubMed  PubMed Central  Article  Google Scholar 

  17. 17.

    Primack SL, Hartman TE, Lee KS, Müller NL (1994) Pulmonary nodules and the CT halo sign. Radiology 190(2):513–515

    CAS  PubMed  Article  Google Scholar 

  18. 18.

    Franquet T (2011) Imaging of pulmonary viral pneumonia. Radiology 260(1):18–39

    PubMed  Article  Google Scholar 

  19. 19.

    Koo HJ, Lim S, Choe J, Choi SH, Sung H, Do KH (2018) Radiographic and CT features of viral pneumonia. Radiographics 38(3):719–739

    PubMed  Article  Google Scholar 

  20. 20.

    Wong KT, Antonio GE, Hui DSC et al (2003) Severe acute respiratory syndrome: Radiographic appearances and pattern of progression in 138 patients. Radiology 228(2):401–406

    CAS  PubMed  Article  Google Scholar 

  21. 21.

    Paul NS, Roberts H, Butany J et al (2004) Radiologic pattern of disease in patients with severe acute respiratory syndrome: the Toronto experience. Radiographics 24(2):553–563

    PubMed  Article  Google Scholar 

  22. 22.

    Ajlan AM, Ahyad RA, Jamjoom LG, Alharthy A, Madani TA (2014) Middle East respiratory syndrome coronavirus (MERS-CoV) infection: chest CT findings. AJR Am J Roentgenol 203(4):782–787

    PubMed  Article  Google Scholar 

  23. 23.

    Miller WT, Mickus TJ, Barbosa E, Mullin C, Van Deerlin VM, Shiley KT (2011) CT of viral lower respiratory tract infections in adults: comparison among viral organisms and between viral and bacterial infections. AJR Am J Roentgenol 197(5):1088–1095

    PubMed  Article  Google Scholar 

  24. 24.

    Fujii T, Nakamura T, Iwamoto A (2007) Pneumocystis pneumonia in patients with HIV infection: clinical manifestations, laboratory findings, and radiological features. J Infect Chemother 13(1):1–7

    PubMed  Article  Google Scholar 

  25. 25.

    Connolly JE, McAdams HP, Erasmus JJ, Rosado-de-Christenson ML (1999) Opportunistic fungal pneumonia. J Thorac Imaging 14:51–62

    PubMed  Article  Google Scholar 

  26. 26.

    Orlowski HLP, McWilliams S, Mellnick VM et al (2017) Imaging spectrum of invasive fungal and fungal-like infections. Radiographics 37(1119–1134):27

    Google Scholar 

  27. 27.

    Lansbury L, Lim B, Baskaran V et al (2020) Co-infections in people with COVID-19: a systematic review and meta-analysis. J Infect 81:266–275

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  28. 28.

    Storto ML, Kee ST, Golden JA, Webb WR (1995) Hydrostatic pulmonary edema: high-resolution CT findings. AJR Am J Roentgenol 165(4):817–820

    CAS  PubMed  Article  Google Scholar 

  29. 29.

    Gurney JW, Goodman LR (1989) Pulmonary edema localized in the right upper lobe accompanying mitral regurgitation. Radiology 171(2):397–399

    CAS  PubMed  Article  Google Scholar 

  30. 30.

    Ell SR (1991) Neurogenic pulmonary edema. A review of the literature and a perspective. Invest Radiol 26(5):499–506

    CAS  PubMed  Article  Google Scholar 

  31. 31.

    Chung MP, Yi CA, Lee HY, Han J, Lee KS (2010) Imaging of pulmonary vasculitis. Radiology 255(2):322–341

    PubMed  Article  Google Scholar 

  32. 32.

    Kaewlai R, Avery LL, Asrani AV, Novelline RA (2008) Multidetector CT of blunt thoracic trauma. Radiographics 28(6):1555–1570

    PubMed  Article  Google Scholar 

  33. 33.

    Feragalli B, Mantini C, Sperandeo M et al (2016) The lung in systemic vasculitis: radiological patterns and differential diagnosis. Br J Radiol 89(1061):20150992

    PubMed  PubMed Central  Article  Google Scholar 

  34. 34.

    Mirtcheva RM, Vazquez M, Yankelevitz DF, Henschke CI (2002) Bronchioloalveolar carcinoma and adenocarcinoma with bronchioloalveolar features presenting as ground-glass opacities on CT. Clin Imaging 26(2):95–100

    PubMed  Article  Google Scholar 

  35. 35.

    Lee HY, Choi Y-L, Lee KS et al (2014) Pure ground-glass opacity neoplastic lung nodules: histopathology, imaging, and management. AJR Am J Roentgenol 202(3):224–233

    Article  Google Scholar 

  36. 36.

    Rossi SE, Erasmus JJ, Volpacchio M, Franquet T, Castiglioni T, Mcadams HP (2003) “Crazy-paving” pattern at thin-section CT of the lungs: radiologic-pathologic overview. Radiographics 23(6):1509–1519

    PubMed  Article  Google Scholar 

  37. 37.

    Gaikwad A, Gupta A, Hare S et al (2012) Primary adenocarcinoma of lung: a pictorial review of recent updates. Eur J Radiol 81(12):4146–4155

    PubMed  Article  Google Scholar 

  38. 38.

    Seo JB, Im JG, Goo JM, Chung MJ, Kim MY (2001) Atypical pulmonary metastases: spectrum of radiologic findings. Radiographics 21(2):403–417

    CAS  PubMed  Article  Google Scholar 

  39. 39.

    Gaeta M, Volta S, Scribano E, Loria G, Vallone A, Pandolfo I (1996) Air-space pattern in lung metastasis from adenocarcinoma of the GI tract. J Comput Assist Tomogr 20(2):300–304

    CAS  PubMed  Article  Google Scholar 

  40. 40.

    Baque-Juston M, Pellegrin A, Leroy S, Marquette CH, Padovani B (2014) Organizing pneumonia: what is it? A conceptual approach and pictorial review. Diagn Interv Imaging 95(9):771–777

    CAS  PubMed  Article  Google Scholar 

  41. 41.

    Roberton BJ, Hansell DM (2011) Organizing pneumonia: a kaleidoscope of concepts and morphologies. Eur Radiol 21(11):2244–2254

    PubMed  Article  Google Scholar 

  42. 42.

    Epler GR (2011) Bronchiolitis obliterans organizing pneumonia, 25 years: a variety of causes, but what are the treatment options? Expert Rev Respir Med 5(3):353–361

    PubMed  Article  Google Scholar 

  43. 43.

    Lee JW, Lee KS, Lee HY et al (2010) Cryptogenic organizing pneumonia: serial high-resolution CT findings in 22 patients. AJR Am J Roentgenol 195(4):916–922

    PubMed  Article  Google Scholar 

  44. 44.

    Kim SJ, Lee KS, Ryu YH et al (2003) Reversed halo sign on high-resolution CT of cryptogenic organizing pneumonia: diagnostic implications. AJR Am J Roentgenol 180(5):1251–1254

    PubMed  Article  Google Scholar 

  45. 45.

    Takigawa N, Segawa Y, Saeki T et al (2000) Bronchiolitis obliterans organizing pneumonia syndrome in breast-conserving therapy for early breast cancer: radiation-induced lung toxicity. Int J Radiat Oncol Biol Phys 48(3):751–755

    CAS  PubMed  Article  Google Scholar 

  46. 46.

    Benveniste MFK, Welsh J, Godoy MCB et al (2013) New era of radiotherapy: an update in radiation-induced lung disease. Clin Radiol 68:275–290

    Article  Google Scholar 

  47. 47.

    Choi YW, Munden RF, Erasmus JJ et al (2004) Effects of radiation therapy on the lung: radiologic appearances and differential diagnosis. Radiographics 24(4):985–998

    PubMed  Article  Google Scholar 

  48. 48.

    Rossi SE, Erasmus JJ, McAdams HP, Sporn TA, Goodman PC (2000) Pulmonary drug toxicity: Radiologic and pathologic manifestations. Radiographics 20(5):1245–1259

    CAS  PubMed  Article  Google Scholar 

  49. 49.

    Holbert JM, Costello P, Li W, Hoffman RM, Rogers RM (2001) CT features of pulmonary alveolar proteinosis. AJR Am J Roentgenol 176(5):1287–1294

    CAS  PubMed  Article  Google Scholar 

  50. 50.

    Murch CR, Carr DH (1989) Computed tomography appearances of pulmonary alveolar proteinosis. Clin Radiol 40(3):240–243

    CAS  PubMed  Article  Google Scholar 

  51. 51.

    Criado E, Sánchez M, Ramírez J et al (2010) Pulmonary sarcoidosis: typical and atypical manifestations at high-resolution CT with pathologic correlation. Radiographics 30(6):1567–1586

    PubMed  Article  Google Scholar 

  52. 52.

    Collins J, Stern EJ (1997) Ground-glass opacity at CT: the ABCs. AJR Am J Roentgenol 169(2):355–367

    CAS  PubMed  Article  Google Scholar 

  53. 53.

    Engelke C, Schaefer-Prokop C, Schirg E, Freihorst J, Grubnic S, Prokop M (2002) High-resolution CT and CT angiography of peripheral pulmonary vascular disorders. Radiographics 22(4):739–764

    PubMed  Article  Google Scholar 

  54. 54.

    Shah AA, Davis SD, Gamsu G, Intriere L (1999) Parenchymal and pleural findings in patients with and patients without acute pulmonary embolism detected at spiral CT. Radiology 211(1):147–153

    CAS  PubMed  Article  Google Scholar 

  55. 55.

    Grillet F, Behr J, Calame P, Aubry S, Delabrousse E (2020) Acute pulmonary embolism associated with COVID-19 pneumonia detected by pulmonary CT angiography. Radiology.

    Article  PubMed  PubMed Central  Google Scholar 

  56. 56.

    Kim TS, Lee KS, Chung MP et al (1998) Nonspecific interstitial pneumonia with fibrosis: high-resolution CT and pathologic findings. AJR Am J Roentgenol 171(6):1645–1650

    CAS  PubMed  Article  Google Scholar 

  57. 57.

    Hartman TE, Primack SL, Swensen SJ, Hansell D, McGuinness G, Muller NL (1993) Desquamative interstitial pneumonia: thin-section CT findings in 22 patients. Radiology 187(3):787–790

    CAS  PubMed  Article  Google Scholar 

  58. 58.

    Johkoh T, Müller NL, Pickford HA et al (1999) Lymphocytic interstitial pneumonia: thin-section CT findings in 22 patients. Radiology 212(2):567–572

    CAS  PubMed  Article  Google Scholar 

  59. 59.

    Daimon T, Johkoh T, Sumikawa H et al (2008) Acute eosinophilic pneumonia: thin-section CT findings in 29 patients. Eur J Radiol 65(3):462–467

    PubMed  Article  Google Scholar 

  60. 60.

    Hansell DM, Wells AU, Padley SPG, Müller NL (1996) Hypersensitivity pneumonitis: correlation of individual CT patterns with functional abnormalities. Radiology 199(1):123–128

    CAS  PubMed  Article  Google Scholar 

  61. 61.

    Komiya K, Ishii H, Umeki K et al (2013) Computed tomography findings of aspiration pneumonia in 53 patients. Geriatr Gerontol Int 13:580–585

    PubMed  Article  Google Scholar 

  62. 62.

    Franquet T, Giménez A, Rosón N, Torrubia S, Sabaté JM, Pérez C (2000) Aspiration diseases: findings, pitfalls, and differential diagnosis. Radiographics 20:673–685

    CAS  PubMed  Article  Google Scholar 

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Corresponding author wrote the manuscript. All authors made a substantial contribution to the study conception and design. All authors made a substantial contribution to data and image collection. All authors commented on previous versions of the manuscript and all authors read and approved the final manuscript.

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Correspondence to Selin Ardali Duzgun.

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Duzgun, S.A., Durhan, G., Demirkazik, F.B. et al. COVID-19 pneumonia: the great radiological mimicker. Insights Imaging 11, 118 (2020).

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  • COVID-19
  • Pneumonia
  • Mimicker
  • Chest CT
  • Differential diagnoses