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Characterization of thymic masses using 18F-FDG PET-CT

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Abstract

Background

The resectability and survival may be improved in thymoma and thymic carcinoma with multimodality therapy. Various diagnostic imaging modalities are required for accurate diagnosis and preoperative staging of thymic masses. The present prospective study was planned to evaluate if Fluorodeoxyglucose (FDG) PET-CT can help differentiate various thymic lesions noted on conventional imaging modalities.

Methods

A prospective study was undertaken in 23 patients who had shown either an anterior mediastinal mass consistent with thymic origin or suspicious for a thymic mass on contrast-enhanced computed tomography scan. All patients underwent whole body FDG PET-CT after intravenous injection of 370 MBq of FDG. The interpretation of PET-CT images was based on the following criteria: FDG uptake (present or absent), SUVmax, pattern of uptake, invasion to surrounding structures, presence of metastasis and necrosis. The results of PET-CT were correlated with the final histopathology following surgery. Statistical analysis was performed with SPSS 11.5 for Windows software. The mean SUVmax of the 3 groups of pathology was compared using the Kruskal–Wallis Test.

Results

Thymic hyperplasia had an enlarged thymus with mean SUVmax of 1.1. Low risk thymoma had large tumors and their mean SUVmax was 3. High risk thymoma had small tumors with mean SUVmax of 2.1. As a group, thymoma had mean SUVmax value of 2.3. All thymic carcinomas were large, and their mean SUVmax was 7. The difference between the mean SUVmax for thymic hyperplasia, thymoma and thymic carcinoma was statistically significant. The difference between the SUVmax of high risk and low risk thymoma was not significant.

Conclusion

18F-FDG PET-CT can help characterize various thymic lesions noted on conventional imaging modalities. However, larger prospective studies are further required to substantiate these findings.

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Abbreviations

PET-CT:

Positron emission tomography computed tomography

FDG:

Fluorodeoxyglucose

SUVmax:

Maximum standardized uptake value

FWHM:

Full-width half maximum

MBq:

Mega Becquerel

VATS:

Video-assisted thoracoscopic surgery

References

  1. Masaoka A, Monden Y, Nakahara K, Tanioka T. Follow-up study of thymomas with special reference to their clinical stages. Cancer. 1981;48(11):2485–92.

    Article  PubMed  CAS  Google Scholar 

  2. Detterbeck FC, Parsons AM. Thymic tumors. Ann Thorac Surg. 2004;77:1860–9.

    Article  PubMed  Google Scholar 

  3. Nakahara K, Ohno K, Hashimoto J, Maeda H, Miyoshi S, Sakurai M, et al. Thymoma: results with complete resection and adjuvant postoperative irradiation in 141 consecutive patients. J Thorac Cardiovasc Surg. 1988;95(6):1041–7.

    PubMed  CAS  Google Scholar 

  4. Curran WJ Jr, Kornstein MJ, Brooks JJ, Turrisi AT 3rd. Invasive thymoma: the role of mediastinal irradiation following complete or incomplete surgical resection. J Clin Oncol. 1988;6:1722–7.

    PubMed  Google Scholar 

  5. Restrepo CS, Pandit M, Rojas IC, Villamil MA, Gordillo H, Lemos D, et al. Imaging findings of expansile lesions of the thymus. Curr Probl Diagn Radiol. 2005;34(1):22–34.

    Article  PubMed  Google Scholar 

  6. de Kraker M, Kluin J, Renken N, Maat APWM, Bogers AJJC. CT and myasthenia gravis: correlation between mediastinal imaging and histopathological findings. Interact CardioVasc Thorac Surg. 2005;4:267–71.

    Article  PubMed  Google Scholar 

  7. Jeong YJ, Lee KS, Kim J, Shim YM, Han J, Kwon OJ. Does CT of thymic epithelial tumors enable us to differentiate histologic subtypes and predict prognosis? Am J Roentgenol. 2004;183:283–9.

    Google Scholar 

  8. Inaoka T, Takahashi K, Mineta M, Yamada T, Shuke N, Okizaki A, et al. Thymic hyperplasia and thymus gland tumors: differentiation with chemical shift MR imaging. Radiology. 2007;243:869–76.

    Article  PubMed  Google Scholar 

  9. McGowan KM, Long SD, Pekala PH. Glucose transporter gene expression: regulation of transcription and mRNA stability. Pharmacol Ther. 1995;66(3):465–505.

    Article  PubMed  CAS  Google Scholar 

  10. Wahl RL. Targeting glucose transporters for tumor imaging: “sweet” idea, “sour” result. J Nucl Med. 1996;37(6):1031–7.

    Google Scholar 

  11. Liu RS, Yeh SH, Huang MH, Wang LS, Chu LS, Chang CP, et al. Use of fluorine-18 fluorodeoxyglucose positron emission tomography in the detection of thymoma: a preliminary report. Eur J Nucl Med. 1995;22(12):1402–7.

    Article  PubMed  CAS  Google Scholar 

  12. Kubota K, Yamada S, Kondo T, Yamada K, Fukuda H, Fujiwara T, et al. PET imaging of primary mediastinal tumours. Br J Cancer. 1996;73(7):882–6.

    PubMed  CAS  Google Scholar 

  13. Sasaki M, Kuwabara Y, Ichiya Y, Akashi Y, Yoshida T, Nakagawa M, et al. Differential diagnosis of thymic tumors using a combination of 11C-methionine PET and FDG PET. J Nucl Med. 1999;40(10):1595–601.

    PubMed  CAS  Google Scholar 

  14. Ohtsuka T, Nomori H, Watanabe K, Naruke T, Suemasu K, Kosaka N, et al. Positive imaging of thymoma by 11C-acetate positron emission tomography. Ann Thorac Surg. 2006;81:1132–4.

    Article  PubMed  Google Scholar 

  15. Sung YM, Lee KS, Kim BT, Choi JY, Shim YM, Yi CA. 18F-FDG PET/CT of thymic epithelial tumors: usefulness for distinguishing and staging tumor subgroups. J Nucl Med. 2006;47:1628–34.

    PubMed  Google Scholar 

  16. El-Bawab H, Al-Sugair AA, Rafay M, Hajjar W, Mahdy M, Al-Kattan K. Role of fluorine-18 fluorodeoxyglucose positron emission tomography in thymic pathology. Eur J Cardiothorac Surg. 2007;31:731–6.

    Article  PubMed  Google Scholar 

  17. Endo M, Nakagawa K, Ohde Y, Okumura T, Kondo H, Igawa S, et al. Utility of 18FDG-PET for differentiating the grade of malignancy in thymic epithelial tumors. Lung Cancer. 2008;61(3):350–5.

    Article  PubMed  Google Scholar 

  18. Detterbeck FC. Clinical value of the WHO classification system of thymoma. Ann Thorac Surg. 2006;81:2328–34.

    Article  PubMed  Google Scholar 

  19. Meltzer CC, Leal JP, Mayberg HS, Wagner HN Jr, Frost JJ. Correction of PET data for partial volume effects in human cerebral cortex by MR imaging. J Comput Assist Tomogr. 1990;14(4):561–70.

    Article  PubMed  CAS  Google Scholar 

  20. Chen CH, Muzic RF Jr, Nelson AD, Adler LP. Simultaneous recovery of size and radioactivity concentration of small spheroids with PET data. J Nucl Med. 1999;40(1):118–30.

    PubMed  CAS  Google Scholar 

  21. Rousset OG, Ma Y, Evans AC. Correction for partial volume effects in PET: principle and validation. J Nucl Med. 1998;39(5):904–11.

    PubMed  CAS  Google Scholar 

  22. Kumar R, Chauhan A, Zhuang H, Chandra P, Schnall M, Alavi A. Clinicopathologic factors associated with false negative FDG-PET in primary breast cancer. Breast Cancer Res Treat. 2006;98(3):267–74.

    Article  PubMed  Google Scholar 

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Acknowledgments

This project was supported by All India Institute of Medical Sciences, New Delhi, India.

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Correspondence to Arvind Kumar.

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Kumar, A., Regmi, S.K., Dutta, R. et al. Characterization of thymic masses using 18F-FDG PET-CT. Ann Nucl Med 23, 569–577 (2009). https://doi.org/10.1007/s12149-009-0283-z

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  • DOI: https://doi.org/10.1007/s12149-009-0283-z

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