Nontuberculous Mycobacterial Infection Mimicking Lung Cancer in a Patient
with Usual Interstitial Pneumonia Pattern Interstitial Lung Disease: A Case
Report

Chaebin      Lee; Jongsoo      Park; Jae-Kwang      Lim; Jongmin      Park; Byunggeon      Park

doi:10.2174/1573405620666230725093800

Abstract

Background: It has been reported that structure damage in the parenchymal lung disease such as idiopathic pulmonary fibrosis (IPF) is associated with high susceptibility to nontuberculous mycobacterial (NTM) infection. Radiologic features of NTM lung disease in destructive lung parenchyma can be atypical, which can cause confusion with other diseases including malignancy. Prompt and accurate identification of newly developed lesions in the follow-up computed tomography (CT) of IPF patients is challenging but crucial.

Case Report: We reported a case of an NTM infection in a patient with IPF, manifested as a mass-like consolidation with cavitation on chest CT, mimicking lung cancer.

Conclusion: Being aware of the unusual radiologic features of NTM lung disease in IPF patients can be useful in the differential diagnosis of newly detected lesions.

Keywords: Nontuberculous mycobacterial infection, Lung cancer, Interstitial pneumonia, Interstitial lung disease, Computed tomography, Case report.

[1]
Hong SJ, Kim TJ, Lee JH, Park JS. Nontuberculous mycobacterial pulmonary disease mimicking lung cancer. Medicine  2016; 95(26): e3978.
 [http://dx.doi.org/10.1097/MD.0000000000003978] [PMID: 27367996]

[2]
Hwang HJ, Kim MY, Shim TS, Kim DS. Nontuberculous mycobacterial pulmonary infection in patients with idiopathic interstitial pneumonias: Comparison with patients without idiopathic interstitial pneumonias. J Comput Assist Tomogr  2014; 38(6): 972-8.
 [http://dx.doi.org/10.1097/RCT.0000000000000144] [PMID: 25162293]

[3]
Odashima K, Kagiyama N, Kanauchi T, Ishiguro T, Takayanagi N. Incidence and etiology of chronic pulmonary infections in patients with idiopathic pulmonary fibrosis. PLoS One  2020; 15(4): e0230746.
 [http://dx.doi.org/10.1371/journal.pone.0230746] [PMID: 32243456]

[4]
Martinez S, McAdams HP, Batchu CS. The many faces of pulmonary nontuberculous mycobacterial infection. AJR Am J Roentgenol  2007; 189(1): 177-86.
 [http://dx.doi.org/10.2214/AJR.07.2074] [PMID: 17579169]

[5]
Park B, Park J. Atypical presentation of nontuberculous mycobacterial pulmonary infection in a patient with interstitial lung abnormality: A case report. Eur J Radiol Open  2021; 8: 100353.
 [http://dx.doi.org/10.1016/j.ejro.2021.100353] [PMID: 34056053]

[6]
Chung MJ, Goo JM, Im JG. Pulmonary tuberculosis in patients with idiopathic pulmonary fibrosis. Eur J Radiol  2004; 52(2): 175-9.
 [http://dx.doi.org/10.1016/j.ejrad.2003.11.017] [PMID: 15489076]

[7]
Lee Y, Song J-W, Chae EJ, et al. CT findings of pulmonary non-tuberculous mycobacterial infection in non-AIDS immunocompromised patients: A case-controlled comparison with immunocompetent patients. Br J Radiol  2013; 86(1024): 20120209.
 [http://dx.doi.org/10.1259/bjr.20120209] [PMID: 23440166]

[8]
Bjoraker JA, Ryu JH, Edwin MK, et al. Prognostic significance of histopathologic subsets in idiopathic pulmonary fibrosis. Am J Respir Crit Care Med  1998; 157(1): 199-203.
 [http://dx.doi.org/10.1164/ajrccm.157.1.9704130] [PMID: 9445300]

[9]
Oh SY, Kim MY, Hwang HJ, et al. Newly detected pulmonary nontuberculous mycobacterial infection and peripheral lung cancers in patients during follow-up of idiopathic interstitial pneumonia: comparison of CT findings. Medicine  2015; 94(13): e691.
 [http://dx.doi.org/10.1097/MD.0000000000000691] [PMID: 25837763]

[10]
Hubbard R, Venn A, Lewis S, Britton J. Lung cancer and cryptogenic fibrosing alveolitis. A population-based cohort study. Am J Respir Crit Care Med  2000; 161(1): 5-8.
 [http://dx.doi.org/10.1164/ajrccm.161.1.9906062] [PMID: 10619790]

[11]
Matsushita H, Tanaka S, Saiki Y, et al. Iung cancer associated with usual interstitial pneumonia. Pathol Int  1995; 45(12): 925-32.
 [http://dx.doi.org/10.1111/j.1440-1827.1995.tb03417.x] [PMID: 8808297]

[12]
Ozawa Y, Suda T, Naito T, et al. Cumulative incidence of and predictive factors for lung cancer in IPF. Respirology  2009; 14(5): 723-8.
 [http://dx.doi.org/10.1111/j.1440-1843.2009.01547.x] [PMID: 19659650]

[13]
Griffith DE, Aksamit T, Brown-Elliott BA, et al. An official ATS/IDSA statement: Diagnosis, treatment, and prevention of nontuberculous mycobacterial diseases. Am J Respir Crit Care Med  2007; 175(4): 367-416.
 [http://dx.doi.org/10.1164/rccm.200604-571ST] [PMID: 17277290]

[14]
O’Brien RJ, Geiter LJ, Snider DE Jr. The epidemiology of nontuberculous mycobacterial diseases in the United States. Results from a national survey. Am Rev Respir Dis  1987; 135(5): 1007-14.
 [http://dx.doi.org/10.1164/arrd.1987.135.5.1007] [PMID: 3579001]

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DOI https://dx.doi.org/10.2174/1573405620666230725093800	Print ISSN 1573-4056
Publisher Name Bentham Science Publisher	Online ISSN 1875-6603

Current Medical Imaging

Nontuberculous Mycobacterial Infection Mimicking Lung Cancer in a Patient with Usual Interstitial Pneumonia Pattern Interstitial Lung Disease: A Case Report