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The Role of 18F-FDG PET/CT as a Prognostic Factor in Patients with Synovial Sarcoma

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Abstract

Purpose

This research aims to investigate the potential of 18F-fluorodeoxyglucose positron emission tomography/computed tomography (FDG PET) to predict pathologic response after neoadjuvant chemotherapy (NAC) and overall survival (OS) of patients with synovial sarcoma in Korea.

Methods

Twenty patients with synovial sarcoma from January 2001 to December 2011 were reviewed retrospectively. All patients underwent pre-treatment FDG PET and tumor removal. Patients were classified with the maximum SUV (SUVmax), metabolic tumor volume (MTV), total lesion glycolysis (TLG), age, sex, histologic subtype, tumor size, NAC, resection margin, and metastasis at diagnosis. Pathologic response was assessed using the French Federation of Cancer Centers system. Statistical analyses were analyzed using the Kaplan-Meier method, log-rank test, Cox proportional hazards regression model, and Mann-Whitney test.

Results

Nine patients (45 %) showed pathologic response, and ten patients survived. Higher SUVmax, higher MTV, higher TLG, monophasic epithelial type, and metastasis at diagnosis were significantly related to poorer OS (p = 0.047, 0.016, 0.016, 0.045, and 0.018, respectively). By multivariate analysis, metastasis at diagnosis was significantly related to poorer OS (p = 0.012/HR = 5.9, 95 % CI 1.47 to 24.1). The SUVmax, MTV, and TLG of the non-responder group were significantly higher than those of the responder group (p = 0.020, 0.020, and 0.020, respectively). There was no significant difference in size between the two groups (p = 0.062).

Conclusions

A higher SUVmax on the pre-treatment scan, monophasic epithelial type, and metastasis at diagnosis were significantly associated with a poorer OS, and pathologic responders showed a higher SUVmax before NAC. The PET parameters can be used to predict OS and pathologic response in patients with synovial sarcomas before NAC.

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References

  1. Deshmukh R, Mankin HJ, Singer S. Synovial sarcoma: the importance of size and location for survival. Clin Orthop Relat Res. 2004;419:155–61.

    Article  PubMed  Google Scholar 

  2. Bergh P, Meis-Kindblom JM, Gherlinzoni F, Berlin O, Bacchini P, Bertoni F, et al. Synovial sarcoma: identification of low and high risk groups. Cancer. 1999;85:2596–607.

    Article  CAS  PubMed  Google Scholar 

  3. Singer S, Baldini EH, Demetri GD, Fletcher JA, Corson JM. Synovial sarcoma: prognostic significance of tumor size, margin of resection, and mitotic activity for survival. J Clin Oncol. 1996;14:1201–8.

    CAS  PubMed  Google Scholar 

  4. Lewis JJ, Antonescu CR, Leung DH, Blumberg D, Healey JH, Woodruff JM, et al. Synovial sarcoma: a multivariate analysis of prognostic factors in 112 patients with primary localized tumors of the extremity. J Clin Oncol. 2000;18:2087–94.

    CAS  PubMed  Google Scholar 

  5. Stanelle EJ, Christison-Lagay ER, Healey JH, Singer S, Meyers PA, La Quaglia MP. Pediatric and adolescent synovial sarcoma: multivariate analysis of prognostic factors and survival outcomes. Ann Surg Oncol. 2013;20:73–9.

    Article  PubMed  Google Scholar 

  6. Trassard M, Le Doussal V, Hacene K, Terrier P, Ranchere D, Guillou L, et al. Prognostic factors in localized primary synovial sarcoma: a multicenter study of 128 adult patients. J Clin Oncol. 2001;19:525–34.

    CAS  PubMed  Google Scholar 

  7. Spurrell EL, Fisher C, Thomas JM, Judson IR. Prognostic factors in advanced synovial sarcoma: an analysis of 104 patients treated at the Royal Marsden Hospital. Ann Oncol. 2005;16:437–44.

    Article  CAS  PubMed  Google Scholar 

  8. Ngahane BH, Baudrand H, Traverse-Glehen A, Freymond N, Guibert B, Pacheco Y, et al. Assessment of prognostic factors of thoracic synovial sarcoma. Rev Mal Respir. 2010;27:93–7.

    Article  PubMed  Google Scholar 

  9. Cheon GJ, Kim MS, Lee JA, Lee SY, Cho WH, Song WS, et al. Prediction model of chemotherapy response in osteosarcoma by 18 F-FDG PET and MRI. J Nucl Med. 2009;50:1435–40.

    Article  CAS  PubMed  Google Scholar 

  10. Abdelsalam M, Bazarbashi S, Abouzied M, Amin T, Soudy H, Rahal M, et al. Whoe body 18 F-FDG PET predicts progression free and overall survival in squamous cell carcinoma of the esophagus: results of a prospective trials. Hematol Oncol Stem Cell Ther. 2010;3:179–84.

    Article  PubMed  Google Scholar 

  11. Pallardy A, Bodet-Milin C, Oudoux A, Campion L, Bourbouloux E, Sagan C, et al. Clinical and survival impact of FDG PET in patients with suspicion of recurrent cervical carcinoma. Eur J Nucl Med Mol Imaging. 2010;37:1270–8.

    Article  PubMed  Google Scholar 

  12. Bar-Shalom R, Valdivia AY, Blaufox MD. PET imaging in oncology. Semin Nucl Med. 2000;30:150–85.

    Article  CAS  PubMed  Google Scholar 

  13. Lisle JW, Eary JF, O’sullivan J, Conrad EU. Risk assessment based on FDG-PET imaging in patients with synovial sarcoma. Clin Orthop Relat Res. 2009;467:1605–11.

    Article  PubMed Central  PubMed  Google Scholar 

  14. Chihara D, Oki Y, Onoda H, Taji H, Yamamoto K, Tamaki T, et al. High maximum standard uptake value (SUVmax) on PET scan is associated with shorter survival in patients with diffuse large B cell lymphoma. Int J Hematol. 2011;93:502–8.

    Article  PubMed  Google Scholar 

  15. Zhang J, Jia Z, Zhou M, Ragaz J, Zhang YP, Wang BY, et al. The SUVmax for (18)F-FDG correlates with molecular subtype and survival of previously untreated metastatic breast cancer. Clin Nucl Med. 2013;38:256–62.

    Article  PubMed  Google Scholar 

  16. Yan H, Wang R, Zhao F, Zhu K, Jiang S, Zhao W, et al. Measurement of tumor volume by PET to evaluate prognosis in patients with advanced non-small lung cancer treated by non-surgical therapy. Acta Radiol. 2013;52:646–50.

    Article  Google Scholar 

  17. Larson SM, Erdi Y, Akhurst T, Mazumdar M, Macapinlac HA, Finn RD, et al. Tumor treatment response based on visual and quantitative changes in global tumor glycolysis using PET-FDG imaging. The visual response score and the change in total lesion glycolysis. Clin Positron Imaging. 1999;2:159–71.

    Article  PubMed  Google Scholar 

  18. Lee P, Weerasuriya DK, Lavori PW, Quon A, Hara W, Maxim PG, et al. Metabolic tumor burden predicts for disease progression and death in lung cancer. Int J Radiat Biol Phys. 2007;69:328–33.

    Article  Google Scholar 

  19. Coindre JM, Terrier P, Bui NB, Bonichon F, Collin F, Le Doussal V, et al. Prognostic factors in adult patients with locally controlled soft tissue sarcoma. A study of 546 patients from the French Federation of Cancer Centers Sarcoma Group. J Clin Oncol. 1996;14:869–77.

    CAS  PubMed  Google Scholar 

  20. Coindre JM, Terrier P, Guillou L, Le Doussal V, Collin F, Ranchere D, et al. Predictive value of grade for metastasis development in the main histologic types of adult soft tissue sarcomas: a study of 1240 patients from the French Federation of Cancer Centers Sarcoma Group. Cancer. 2001;91:1914–26.

    Article  CAS  PubMed  Google Scholar 

  21. Deyrup AT, Weiss SW. Grading of soft tissue sarcomas: the challenge of providing precise information in an imprecise world. Histopathology. 2006;48:42–50.

    Article  CAS  PubMed  Google Scholar 

  22. Lee EY, Khong PL, Tse KY, Chan KK, Chu MM. NganHY. Differentiation of aggressive and indolent subtypes of uterine sarcoma using maximum standardized uptake value. Nucl Med Commun. 2013;34:1185–9.

    PubMed Central  PubMed  Google Scholar 

  23. Coindre JM. Grading of soft tissue sarcomas: review and update. Arch Pathol Lab Med. 2006;130:1448–53.

    PubMed  Google Scholar 

  24. Krieg AH, Hefti F, Speth BM, Jundt G, Guillou L, Exner UG, et al. Synovial sarcomas usually metastasize after >5 years: a multicenter retrospective analysis with minimum follow-up of 10 years for survivors. Ann Oncol. 2011;22:458–67.

    Article  CAS  PubMed  Google Scholar 

  25. Pack GT, Ariel IM. Synovial sarcoma (malignant synovioma); a report of 60 cases. Surgery. 1950;28:1047–84.

    CAS  PubMed  Google Scholar 

  26. Paulino AC. Synovial sarcoma prognostic factors and patterns of failure. Am J Clin Oncol. 2004;27:122–7.

    Article  PubMed  Google Scholar 

  27. Pinheiro C, Sousa B, Albergaria A, Paredes J, Dufloth R, Vieira D, et al. GLUT1 and CAIX expression profiles in breast cancer correlate with adverse prognostic factors and MCT1 overexpression. Histol Histopathol. 2011;26:1279–86.

    CAS  PubMed  Google Scholar 

  28. Chung JH, Cho KJ, Lee SS, Baek HJ, Park JH, Cheon GJ, et al. Overexpression of Glut1 in lymphoid follicles correlates with false-positive (18)F-FDG PET results in lung cancer staging. J Nucl Med. 2004;45:999–1003.

    CAS  PubMed  Google Scholar 

  29. Horiuchi C, Tsukuda M, Taguchi T, Ishiguro Y, Okudera K, Inoue T. Correlation between FDG-PET findings and GLUT1 expression in salivary gland pleomorphic adenomas. Ann Nucl Med. 2008;22:693–8.

    Article  CAS  PubMed  Google Scholar 

  30. Higashi K, Ueda Y, Arisaka Y, Sakuma T, Nambu Y, Oguchi M, et al. 18 F-FDG uptake as a biologic prognostic factor for recurrence in patients with surgically resected non-small cell lung cancer. J Nucl Med. 2002;43:39–45.

    PubMed  Google Scholar 

  31. Ioannidis JP, Lau J. 18 F-FDG PET for the diagnosis and grading of soft-tissue sarcoma: a meta-analysis. J Nucl Med. 2004;44:717–24.

    Google Scholar 

  32. Fuglo HM, Jorgensen SM, Loft A, Hovgaard D, Petersen MM. The diagnostic and prognostic value of (18)F-FDG PET/CT in the initial assessment of high-grade bone and soft tissue sarcoma. a retrospective study of 89 patients. Eur J Nucl Med Mol Imaging. 2012;39:1416–24.

    Article  CAS  PubMed  Google Scholar 

  33. Eary JF, O’Sullivan F, Powitan Y, Chandhurry KR, Vernon C, Bruckner JD, et al. Sarcoma tumor FDG uptake measured by PET and patient outcome: a retrospective analysis. Eur J Nucl Med Mol Imaging. 2002;29:1149–54.

    Article  CAS  PubMed  Google Scholar 

  34. Brenner W, Conrad EU, Eary JF. FDG PET imaging for grading and prediction of outcome in chondrosarcoma patients. Eur J Nucl Med Mol Imaging. 2004;31:189–95.

    Article  PubMed  Google Scholar 

  35. Hong SP, Lee SE, Choi YL, Seo SW, Sung KS, Koo HH, et al. Prognostic value of 18 F-FDG PET/CT in patients with soft tissue sarcoma: comparisons between metabolic parameters. Skeletal Radiol. 2014;43:641–8.

    Article  PubMed  Google Scholar 

  36. Choi ES, Ha SG, Kim HS, Ha JH, Paeng JC, Han I. Total lesion glycolysis by 18 F-FDG PET/CT is a reliable predictor of prognosis in soft-tissue sarcoma. Eur J Nucl Med Mol Imaging. 2013;40:1836–42.

    Article  CAS  PubMed  Google Scholar 

  37. Benz MR, Dry SM, Eilber FC, Allen-Auerbach MS, Tap WD, Elashoff D, et al. Correlation between glycolytic phenotype and tumor grade in soft-tissue sarcomas by 18 F-FDG PET. J Nucl Med. 2010;51:1174–81.

    Article  PubMed Central  PubMed  Google Scholar 

  38. Charest M, Hickeson M, Lisbona R, Novales-Diaz JA, Derbekyan V, Turcotte RE. FDG PET/CT imaging in primary osseous and soft tissue sarcomas: a retrospective review of 212 cases. Eur J Nucl Med Mol Imaging. 2009;36:1944–51.

    Article  PubMed  Google Scholar 

  39. Canter RJ, Qin LX, Maki RG, Brennan MF, Ladanyi M, Singer S. A synovial sarcoma-specific preoperative nomogram supports a survival benefit to ifosfamide-based chemotherapy and improves risk stratification for patients. Clin Cancer Res. 2008;14:8191–7.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  40. Italiano A, Penel N, Robin YM, Bui B, Le Cesne A, Piperno-Neumann S, et al. Neo/adjuvant chemotherapy does not improve outcome in resected primary synovial sarcoma: a study of the French Sarcoma Group. Ann Oncol. 2009;20:425–30.

    Article  CAS  PubMed  Google Scholar 

  41. Al-Hussaini H, Hogg D, Blackstein ME, O’sullivan B, Catton CN, Chung PW. Clinical features, treatment, and outcome in 102 adult and pediatric patients with localized high-grade synovial sarcoma. Sarcoma. 2011. doi:10.1155/2011/231789.

    PubMed Central  PubMed  Google Scholar 

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Acknowledgments

This work was supported by the Establishment of the Center for PET Application Technology Development, Korea Institute of Radiological and Medical Sciences (KIRAMS), and by grants from the Ministry of Education, Science and Technology (50441-2013).

Conflict of Interest

Kyoung Jin Chang, Ilhan Lim, Joon Yeun Park, A Ra Jo, Chang Bae Kong, Won Seok Song, Wan Hyeong Jo, Soo Yong Lee, Jae SooKoh, Byung Il Kim, Chang Woon Choi and Sang Moo Lim declare that they have no conflict of interest.

Ethical Statement

This study was approved by the ethics committee in our hospital and was performed in accordance with the ethical standards laid down in the 1964 Declaration of Helsinki and its later amendments. All persons enrolled gave their informed consent prior to their inclusion in the study.

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Correspondence to Sang Moo Lim.

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Chang, K.J., Lim, I., Park, J.Y. et al. The Role of 18F-FDG PET/CT as a Prognostic Factor in Patients with Synovial Sarcoma. Nucl Med Mol Imaging 49, 33–41 (2015). https://doi.org/10.1007/s13139-014-0301-5

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  • DOI: https://doi.org/10.1007/s13139-014-0301-5

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