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Positron Emission Tomography in the Evaluation of Pulmonary Nodules Among Patients Living in a Coccidioidal Endemic Region

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Abstract

Background

Within a coccidioidal endemic region, pulmonary nodules due to coccidioidomycosis are common. Uptake of 18fluorodeoxyglucose (18FDG) by positron emission tomography with computed axial tomography (PET/CT) has been used to assess whether pulmonary nodules are malignant but inflammatory lesions can be positive. The purpose of this study was to compare by PET/CT the 18FDG uptake in pulmonary nodules likely due to coccidioidomycosis to that of nodules shown to be malignant among patients living in a coccidioidal endemic region.

Methods

We retrospectively reviewed patients who underwent a PET/CT at the Southern Arizona Veterans Affairs Health Care System between January 2008 and March 2012 who were subsequently found on biopsy to have pulmonary nodules that were coccidioidal or granulomatous or were due to malignancy.

Results

Among 245 diagnostic biopsies where the subject had a previous PET/CT, 15 (6.1 %) were either coccidioidal (n = 12) or granulomatous without an identified organism (n = 3). The median maximum standard unit of uptake (SUVmax) on PET/CT of coccidioidal or granulomatous lesions was 2.0 compared to 9.8 for malignant lesions (P < 0.001). The maximum diameter of the coccidioidal or granulomatous nodules was 2.1 cm compared to 3.0 cm for the malignant lesions (P = 0.009). On multivariable analysis, an elevated SUVmax was the only distinguishing feature between the malignant and the granulomatous lesions (OR 1.28, 95 % CI 1.05–1.55; P = 0.013).

Conclusions

Coccidioidal pulmonary nodules take up significantly less 18FDG than those due to malignancies, but there is considerable overlap between granulomatous and malignant lesions at lower SUVmax.

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References

  1. Galgiani JN, Ampel NM, Blair JE, Catanzaro A, Johnson RH, Stevens DA, Williams PL (2005) Coccidioidomycosis. Clin Infect Dis 41(9):1217–1223

    Article  PubMed  Google Scholar 

  2. Valdivia L, Nix D, Wright M, Lindberg E, Fagan T, Lieberman D, Stoffer T, Ampel NM, Galgiani JN (2006) Coccidioidomycosis as a common cause of community-acquired pneumonia. Emerg Infect Dis 12(6):958–962

    Article  PubMed Central  PubMed  Google Scholar 

  3. Kim MM, Blair JE, Carey EJ, Wu Q, Smilack JD (2009) Coccidioidal pneumonia, Phoenix, Arizona, USA, 2000-2004. Emerg Infect Dis 15(3):397–401

    Article  PubMed Central  PubMed  Google Scholar 

  4. Drutz DJ, Catanzaro A (1978) Coccidioidomycosis Part II. Am Rev Respir Dis 117(4):727–771

    CAS  PubMed  Google Scholar 

  5. Chitkara YK (1997) Evaluation of cultures of percutaneous core needle biopsy specimens in the diagnosis of pulmonary nodules. Am J Clin Pathol 107(2):224–228

    CAS  PubMed  Google Scholar 

  6. Fiese MJ (1958) Benign residual coccidioidal lesions. Coccidioidomycosis. Charles C. Thomas, Springfield, pp 153–157

    Google Scholar 

  7. Fiastro JF, Newell JD (1987) Quantitative computed tomography evaluation of benign solitary pulmonary nodules. J Comput Tomogr 11(1):103–106

    Article  CAS  PubMed  Google Scholar 

  8. Capone D, Marchiori E, Wanke B, Dantas KE, Cavalcanti MA, Deus Filho A, Escuissato DL, Warszawiak D (2008) Acute pulmonary coccidioidomycosis: CT findings from 15 patients. Br J Radiol 81(969):721–724

    Article  CAS  PubMed  Google Scholar 

  9. Muhm JR, McCullough AE (2003) The enhancing rim: a new sign of a benign pulmonary nodule. Mayo Clin Proc 78(9):1092–1096

    Article  PubMed  Google Scholar 

  10. Gould MK, Maclean CC, Kuschner WG, Rydzak CE, Owens DK (2001) Accuracy of positron emission tomography for diagnosis of pulmonary nodules and mass lesions: a meta-analysis. JAMA 285(7):914–924

    Article  CAS  PubMed  Google Scholar 

  11. Gupta N, Gill H, Graeber G, Bishop H, Hurst J, Stephens T (1998) Dynamic positron emission tomography with F-18 fluorodeoxyglucose imaging in differentiation of benign from malignant lung/mediastinal lesions. Chest 114(4):1105–1111

    Article  CAS  PubMed  Google Scholar 

  12. Gupta NC, Frank AR, Dewan NA, Redepenning LS, Rothberg ML, Mailliard JA, Phalen JJ, Sunderland JJ, Frick MP (1992) Solitary pulmonary nodules: detection of malignancy with PET with 2-[F-18]-fluoro-2-deoxy-D-glucose. Radiology 184(2):441–444

    Article  CAS  PubMed  Google Scholar 

  13. Halley A, Hugentobler A, Icard P, Porret E, Sobrio F, Lerochais JP, Bouvard G, Zalcman G, Agostini D (2005) Efficiency of 18F-FDG and 99mTc-depreotide SPECT in the diagnosis of malignancy of solitary pulmonary nodules. Eur J Nucl Med Mol Imaging 32(9):1026–1032

    Article  PubMed  Google Scholar 

  14. Jeong YJ, Yi CA, Lee KS (2007) Solitary pulmonary nodules: detection, characterization, and guidance for further diagnostic workup and treatment. AJR Am J Roentgenol 188(1):57–68

    Article  PubMed  Google Scholar 

  15. Ost D, Fein AM, Feinsilver SH (2003) Clinical practice. The solitary pulmonary nodule. N Engl J Med 348(25):2535–2542

    Article  PubMed  Google Scholar 

  16. Fletcher JW, Djulbegovic B, Soares HP, Siegel BA, Lowe VJ, Lyman GH, Coleman RE, Wahl R, Paschold JC, Avril N, Einhorn LH, Suh WW, Samson D, Delbeke D, Gorman M, Shields AF (2008) Recommendations on the use of 18F-FDG PET in oncology. J Nucl Med 49(3):480–508

    Article  PubMed  Google Scholar 

  17. Sim YT, Goh YG, Dempsey MF, Han S, Poon FW (2013) PET-CT evaluation of solitary pulmonary nodules: correlation with maximum standardized uptake value and pathology. Lung 191(6):625–632

    Article  PubMed  Google Scholar 

  18. Khouri NF, Meziane MA, Zerhouni EA, Fishman EK, Siegelman SS (1987) The solitary pulmonary nodule. Assessment, diagnosis, and management. Chest 91(1):128–133

    Article  CAS  PubMed  Google Scholar 

  19. Forseth J, Rohwedder JJ, Levine BE, Saubolle MA (1986) Experience with needle biopsy for coccidioidal lung nodules. Arch Intern Med 146(2):319–320

    Article  CAS  PubMed  Google Scholar 

  20. Freedman SI, Ang EP, Haley RS (1986) Identification of coccidioidomycosis of the lung by fine needle aspiration biopsy. Acta Cytol 30(4):420–424

    CAS  PubMed  Google Scholar 

  21. Hübner KF, Buonocore E, Gould HR, Thie J, Smith GT, Stephens S, Dickey J (1996) Differentiating benign from malignant lung lesions using “quantitative” parameters of FDG PET images. Clin Nucl Med 21(12):941–949

    Article  PubMed  Google Scholar 

  22. Nguyen BD (2006) F-18 FDG PET/CT imaging of disseminated coccidioidomycosis. Clin Nucl Med 31(9):568–571

    Article  PubMed  Google Scholar 

  23. Raab SS, Silverman JF, Zimmerman KG (1993) Fine-needle aspiration biopsy of pulmonary coccidiodomycosis. Spectrum of cytologic findings in 73 patients. Am J Clin Pathol 99(5):582–587

    CAS  PubMed  Google Scholar 

  24. Ohno Y, Koyama H, Matsumoto K, Onishi Y, Takenaka D, Fujisawa Y, Yoshikawa T, Konishi M, Maniwa Y, Nishimura Y, Ito T, Sugimura K (2011) Differentiation of malignant and benign pulmonary nodules with quantitative first-pass 320-detector row perfusion CT versus FDG PET/CT. Radiology 258(2):599–609

    Article  PubMed  Google Scholar 

  25. Kim IJ, Kim SJ, Kim YS, Lee TH, Jeong YJ (2009) Characterization of pulmonary lesions with low F-18 FDG uptake using double phase F-18 FDG PET/CT: comparison of visual and quantitative analyses. Neoplasma 56(1):33–39

    Article  CAS  PubMed  Google Scholar 

  26. Grgic A, Yuksel Y, Groschel A, Schafers HJ, Sybrecht GW, Kirsch CM, Hellwig D (2010) Risk stratification of solitary pulmonary nodules by means of PET using (18)F-fluorodeoxyglucose and SUV quantification. Eur J Nucl Med Mol Imaging 37(6):1087–1094

    Article  PubMed  Google Scholar 

  27. Huang YE, Lu HI, Liu FY, Huang YJ, Lin MC, Chen CF, Wang PW (2012) Solitary pulmonary nodules differentiated by dynamic F-18 FDG PET in a region with high prevalence of granulomatous disease. J Radiat Res 53(2):306–312

    Article  CAS  PubMed  Google Scholar 

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Correspondence to Neil M. Ampel.

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Reyes, N., Onadeko, O.O., Luraschi-Monjagatta, M.D.C. et al. Positron Emission Tomography in the Evaluation of Pulmonary Nodules Among Patients Living in a Coccidioidal Endemic Region. Lung 192, 589–593 (2014). https://doi.org/10.1007/s00408-014-9589-2

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  • DOI: https://doi.org/10.1007/s00408-014-9589-2

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