- Short communication
- Open Access
Not all that glitters is COVID! Differential diagnosis of FDG-avid interstitial lung disease in low-prevalence regions
European Journal of Hybrid Imaging volume 4, Article number: 19 (2020)
Coronavirus disease-19 (COVID-19) is only one of the many possible infectious and non-infectious diseases that may occur with similar imaging features in patients undergoing [18F]-fluorodeoxyglucose (18FDG) monitoring, particularly in the most fragile oncologic patients. We briefly summarise some key radiological elements of differential diagnosis of interstitial lung diseases which, in our opinion, could be extremely useful for physicians reporting 18FDG PET/CT scans, not only during the COVID-19 pandemic, but also for their normal routine activity.
During the recent pandemic, several papers have reported on the [18F]-fluorodeoxyglucose positron-emission tomography (18FDG PET) findings in coronavirus disease-19 (COVID-19). Increased FDG uptake is usually seen at the site of lung abnormalities shown on computed tomography (CT) and may also be present in mediastinal lymph nodes (O’Neill et al. 2020; Polverari et al. 2020). This is not unexpected since 18FDG avidity is typical of inflammatory/infectious diseases, and some authors have proposed 18FDG PET as a non-invasive biomarker for monitoring viral infections (Brust et al. 2006; Chacko et al. 2017). A paper suggested that 18FDG uptake by lymph nodes might have a prognostic role in patients with COVID-19 (O’Neill et al. 2020). However, until now, 18FDG PET/CT is not recommended in the workup of suspected or confirmed COVID-19, and the reported cases of 18FDG PET/CT in patients with COVID-19 are most often incidental (Treglia 2020). The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) spread has been remarkably heterogeneous so far, which has relevant implications for the interpretation of indeterminate imaging findings. In regions where prevalence is high, it is reasonable to first suspect the diagnosis of COVID-19 for otherwise healthy individuals presenting with upper respiratory symptoms and/or characteristic imaging findings (Pozzessere et al. 2020a). Conversely, different considerations should be made in regions where COVID-19 has a lower prevalence, particularly for patients undergoing 18FDG PET monitoring during or shortly after anticancer treatments. We recently observed 18FDG-avid lung abnormalities suspected for COVID-19 in a symptomatic male patient with advanced squamous cell lung carcinoma, who was referred for 18FDG PET/CT at the end of first-line chemotherapy with cisplatin-gemcitabine combination (Fig. 1). Of note, our institution is located in Calabria, a southern Italian region where the diffusion of SARS-CoV-2 was very limited compared to northern Italian regions. As of July 14, 2020, official data report a COVID-19 cumulative incidence of 61.68 vs. 945.45 per 100,000 people for Calabria and Lombardy, the most affected Italian region, respectively (Istituto superiore di sanità pubblica. Epidemia COVID-19. Aggiornamento nazionale 14 Luglio 2020). In this patient, two nasopharyngeal swabs tested negative for SARS-CoV-2. Finally, serum negativity for anti-SARS-CoV-2 IgM and IgG antibodies confirmed that the patient had never been exposed to the infection. Regretfully, the patient’s conditions worsened rapidly and death occurred before a definitive etiological diagnosis could be made. This case reminded us that, while a prompt recognition of COVID-19 is critically important in order to limit the diffusion of the disease among the healthcare staff and the general population, physicians reporting hybrid PET/CT scans should also keep alert for all serious conditions that may present with similar imaging features, particularly in the most fragile patients.
The main radiological features of COVID-19 pneumonia include multifocal or diffuse bilateral ground-glass opacities (GGOs) and “crazy-paving” pattern with a predominant subpleural distribution (Hani et al. 2020; Salehi et al. 2020). At the early stage, patchy centro-parenchymal GGOs have been described (Pozzessere et al. 2020a). As the disease progresses, GGOs coalesce into consolidations which may cavitate in the most severe cases (Hani et al. 2020; Salehi et al. 2020). The recovery phase is characterized by the reduction in size and density of both consolidations and GGOs, with the appearance of parenchymal stripes (Salehi et al. 2020). However, these findings are not pathognomonic of COVID-19, and several differential diagnoses should be considered, especially in vulnerable patients such as oncologic patients. Similar imaging features can be found in other infectious and non-infectious diseases, all of which can show variable degrees of 18FDG uptake. These include common viral infections of the lower respiratory tract, such as influenza virus, especially H1N1, parainfluenza virus, adenovirus, respiratory syncytial virus (RSV), and opportunistic infections, arising in severely immunocompromised patients, such as Pneumocystis jirovecii, cytomegalovirus (CMV), herpes simplex virus (HSV), varicella-zoster virus (VZV), or Mycoplasma pneumoniae (Beigelman-Aubry et al. 2012). Although imaging findings substantially overlap between COVID-19 and these diseases, some subtle radiological features might help orient the diagnosis.
During the flu season, H1N1 pneumonia represents the main differential diagnosis, particularly in case of bilateral consolidations and GGOs with a predominant peripheral and peribronchovascular distribution. However, GGOs are more represented in COVID-19 than in H1N1 pneumonia (Tang et al. 2020). Possible additional differences are the presence of pleural effusion, bronchiectasis, and bronchial wall-thickening, which are more frequent in patients with H1N1, whereas “crazy-paving” pattern is more common in patients with COVID-19 (Yin et al. 2020). When bronchial wall thickening and micronodules in a “tree in bud” distribution are found in association with limited GGOs and consolidations, other lower respiratory tract infections such as RSV, adenovirus, and parainfluenza should be considered (Miller Jr et al. 2011). When bilateral, diffuse GGOs or “crazy-paving” pattern is detected in immunocompromised patients, opportunistic infections are the most fearsome differential diagnoses. Severe COVID-19 lung involvement and Pneumocystis jirovecii pneumonia (PCP) may show identical imaging features, that is bilateral and diffuse GGOs and/or “crazy-paving” pattern. However, different from COVID-19, the subpleural space is spared in half of the patients with PCP, and thin-wall cysts may be occasionally seen (Kanne et al. 2012). Moreover, PCP has a predominant apical distribution, while COVID-19 pneumonia involves more extensively the basal regions. In CMV, HSV, and HZV, diffuse bilateral GGOs or “crazy-paving” pattern may be associated with centrilobular nodules, which have not been described in COVID-19 (Beigelman-Aubry et al. 2012). Furthermore, patients receiving anti-cancer treatments may develop drug-induced pneumonia with interstitial patterns including GGOs and reticulations that, if untreated, may lead to pulmonary fibrosis (Torrisi et al. 2011). Several cytotoxic and targeted therapies may cause lung injury; among these, there are bleomycin, methotrexate, gemcitabine, paclitaxel, oxaliplatin, mammalian target of rapamycin (mTOR) inhibitors, anti-epidermal growth factor receptor (EGFR) antibodies, and immune check-point inhibitors (ICIs) (Torrisi et al. 2011; Naidoo et al. 2017). In particular, immune-related adverse events induced by ICIs may show imaging findings similar to COVID-19 pneumonia, especially when the lung involvement is diffuse and complicated by diffuse alveolar damage/acute respiratory distress syndrome (DAD/ARDS) pattern (Naidoo et al. 2020; Pozzessere et al. 2020b). The diagnosis of drug-induced toxicity is often suspected after infectious pneumonia, and other lung diseases have been excluded. It should be acknowledged that integrated PET/CT systems have known limitations in the study of the lung parenchyma, including free-breathing acquisitions and suboptimal spatial resolution, which make a correct differential diagnosis difficult in clinical practice. Notwithstanding this, in our opinion, the key radiological features we have briefly summarised should be part of the cultural experience of the physician reporting hybrid PET/CT scans, in order to advise the referring clinician on the correct patient management.
Availability of data and materials
Severe acute respiratory syndrome coronavirus 2
Respiratory syncytial virus
Herpes simplex virus
Pneumocystis jirovecii pneumonia
Mammalian target of rapamycin
Epidermal growth factor receptor
Immune check-point inhibitors
Diffuse alveolar damage/acute respiratory distress syndrome
Beigelman-Aubry C, Godet C, Caumes E (2012) Lung infections: the radiologist’s perspective. Diagn Interv Imaging 93:431–440. https://doi.org/10.1016/j.diii.2012.04.021
Brust D, Polis M, Davey R, Hahn B, Bacharach S, Whatley M et al (2006) Fluorodeoxyglucose imaging in healthy subjects with HIV infection: impact of disease stage and therapy on pattern of nodal activation. AIDS 20:985–993. https://doi.org/10.1097/01.aids.0000222070.52996.76
Chacko AM, Watanabe S, Herr KJ, Kalimuddin S, Tham JY, Ong J et al (2017) 18F-FDG as an inflammation biomarker for imaging dengue virus infection and treatment response. JCI Insight 2:e93474. https://doi.org/10.1172/jci.insight.93474
Hani C, Trieu NH, Saab I, Dangeard S, Bennani S, Chassagnon G et al (2020) COVID-19 pneumonia: a review of typical CT findings and differential diagnosis. Diagn Interv Imaging 101:263–268. https://doi.org/10.1016/j.diii.2020.03.014
Istituto superiore di sanità pubblica. Epidemia COVID-19. Aggiornamento nazionale 14 Luglio 2020. https://www.epicentro.iss.it/coronavirus/bollettino/Bollettino-sorveglianza-integrata-COVID-19_14-luglio-2020.pdf (document in Italian, accessed 25th July 2020)
Kanne JP, Yandow DR, Meyer CA (2012) Pneumocystis jiroveci pneumonia: high-resolution CT findings in patients with and without HIV infection. AJR Am J Roentgenol 198:W555–W561. https://doi.org/10.2214/AJR.11.7329
Miller WT Jr, Mickus TJ, Barbosa E Jr, 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 197:1088–1095. https://doi.org/10.2214/AJR.11.6501
Naidoo J, Wang X, Woo KM, Iyriboz T, Halpenny D, Cunningham J et al (2017) Pneumonitis in patients treated with anti-programmed death-1/programmed death ligand 1 therapy. J Clin Oncol 35:709–717. https://doi.org/10.1200/JCO.2016.68.2005
Naidoo J, Reuss JE, Suresh K, Feller-Kopman D, Forde PM, Mehta Steinke S et al (2020) Immune-related (IR)-pneumonitis during the COVID-19 pandemic: multidisciplinary recommendations for diagnosis and management. J Immunother Cancer 8:e000984. https://doi.org/10.1136/jitc-2020-000984
O’Neill H, Doran S, Fraioli F, Nasoodi A (2020) A twisted tale-radiological imaging features of COVID-19 on 18F-FDG PET/CT. European J Hybrid Imaging;4:13. https://doi.org/10.1186/s41824-020-00082-y
Polverari G, Arena V, Ceci F, Pelosi E, Ianniello A, Poli E et al (2020) 18F-Fluorodeoxyglucose uptake in patient with asymptomatic severe acute respiratory syndrome coronavirus 2 (Coronavirus Disease 2019) referred to positron emission tomography/computed tomography for NSCLC restaging. J Thorac Oncol 15:1078–1080. https://doi.org/10.1016/j.jtho.2020.03.022
Pozzessere C, Rotzinger DC, Ghaye B, Lamoth F, Beigelman-Aubry C (2020a) Incidentally discovered COVID-19 pneumonia: the role of diagnostic imaging. Eur Radiol 30:5211–5213. https://doi.org/10.1007/s00330-020-06914-6
Pozzessere C, Bouchaab H, Jumeau R, Letovanec I, Daccord C, Bourhis J et al (2020b) Relationship between pneumonitis induced by immune checkpoint inhibitors and the underlying parenchymal status: a retrospective study. ERJ Open Res 6:00165–02019. https://doi.org/10.1183/23120541.00165-2019
Salehi S, Abedi A, Balakrishnan S, Gholamrezanezhad A (2020) Coronavirus disease 2019 (COVID-19): a systematic review of imaging findings in 919 patients. AJR Am J Roentgenol 215:87–93. https://doi.org/10.2214/AJR.20.23034
Tang X, Du RH, Wang R, Cao TZ, Guan LL, Yang CQ et al (2020) Comparison of hospitalized patients with ARDS caused by COVID-19 and H1N1. Chest 158:195–205. https://doi.org/10.1016/j.chest.2020.03.032
Torrisi JM, Schwartz LH, Gollub MJ, Ginsberg MS, Bosl GJ, Hricak H (2011) CT findings of chemotherapy-induced toxicity: what radiologists need to know about the clinical and radiologic manifestations of chemotherapy toxicity. Radiology 258:41–56. https://doi.org/10.1148/radiol.10092129
Treglia G (2020) The role of 18F-FDG PET for COVID-19 infection: myth versus reality. Clin Transl Imaging :1-2. https://doi.org/10.1007/s40336-020-00367-z
Yin Z, Kang Z, Yang D, Ding S, Luo H, Xiao E (2020) A comparison of clinical and chest CT findings in patients with influenza A (H1N1) virus infection and coronavirus disease (COVID-19). AJR Am J Roentgenol;1-7. doi: https://doi.org/10.2214/AJR.20.23214. Online ahead of print.
Ethics approval and consent to participate
All procedures performed in this study were in accordance with the ethical standards as laid down in the 1964 Declaration of Helsinki and its later amendments. The local Ethics Committee is not involved in single-case report’s authorization.
Consent for publication
The patient gave written informed consent to the imaging procedure and to the anonymous publication of the images for scientific purposes.
The authors declare that they have no competing interests.
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
About this article
Cite this article
Papa, A., Pozzessere, C., Cicone, F. et al. Not all that glitters is COVID! Differential diagnosis of FDG-avid interstitial lung disease in low-prevalence regions. European J Hybrid Imaging 4, 19 (2020). https://doi.org/10.1186/s41824-020-00088-6
- FDG PET/CT
- Differential diagnosis
- Radiological features