Skip to main content

Advertisement

SpringerLink
Log in

Detectability of T-Measurable Diseases in Advanced Gastric Cancer on FDG PET-CT

  • Original Article
  • Published:
Nuclear Medicine and Molecular Imaging Aims and scope Submit manuscript

Abstract

Purpose

Usefulness of FDG PET-CT in monitoring response in locally advanced gastric cancer has been reported. The purpose of this study was to evaluate the related factors to detect measurable diseases in advanced gastric cancer on FDG PET-CT.

Methods

We retrospectively reviewed 38 patients diagnosed as having advanced gastric cancer. We defined the measurable diseases when there was visualized tumor of which maximum standardized uptake value (SUVmax) was higher than 1.35*SUVmax of liver + 2*SD of liver SUV. We evaluated what kinds of factors from the clinicopathologic features were related to identifying measurable diseases.

Results

Of 38 patients with advanced gastric cancer, 18 (50 %) had measurable tumors on FDG PET-CT. Measurable tumors were significantly more frequent in well or moderately differentiated adenocarcinoma (70.5 % vs 35.3 %, p < 0.05), in the tumors located at antrum or angle (66.7 % vs 29.4 %, p < 0.05) and in the elderly group (age of 55 years old or more, 72.0 % vs 8.3 %, p < 0.001) than the others, respectively. By multivariate analysis, age at diagnosis was the only independent predictor for the measurable disease on FDG PET-CT.

Conclusion

We found that age at diagnosis, as well as histologic types and location of tumors, were the affecting factors to detect measurable disease on FDG PET-CT in patients with advanced gastric cancer. Our study suggests that elderly patients of age of 55 years old or more can frequently have T-measurable disease on FDG PET-CT in advanced gastric cancer and FDG PET-CT will be helpful to monitor measurable disease.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4

Similar content being viewed by others

References

  1. Couper GW, McAteer D, Wallis F, Norton M, Welsh A, Nicolson M, et al. The detection of response to chemotherapy using positron emission tomography in patients with oesophageal and gastric cancer. Brit J Surg. 1998;85:31.

    Article  Google Scholar 

  2. Lordick F, Ott K, Krause BJ, Weber WA, Becker K, Stein HJ, et al. PET to assess early metabolic response and to guide treatment of adenocarcinoma of the oesophagogastric junction: the MUNICON phase II trial. Lancet Oncol. 2007;8(9):797–805. doi:10.1016/S1470-2045(07)70244-9.

    Article  PubMed  Google Scholar 

  3. Ott K, Fink U, Becker K, Stahl A, Dittler HJ, Busch R, et al. Prediction of response to preoperative chemotherapy in gastric carcinoma by metabolic imaging: results of a prospective trial. J Clin Oncol Off J Am Soc Clin Oncol. 2003;21(24):4604–10. doi:10.1200/JCO.2003.06.574.

    Article  CAS  Google Scholar 

  4. Ott K, Herrmann K, Lordick F, Wieder H, Weber WA, Becker K, et al. Early metabolic response evaluation by fluorine-18 fluorodeoxyglucose positron emission tomography allows in vivo testing of chemosensitivity in gastric cancer: long-term results of a prospective study. Clin Cancer Res Off J Am Assoc Cancer Res. 2008;14(7):2012–8. doi:10.1158/1078-0432.CCR-07-0934.

    Article  CAS  Google Scholar 

  5. Ott K, Weber WA, Lordick F, Becker K, Busch R, Herrmann K, et al. Metabolic imaging predicts response, survival, and recurrence in adenocarcinomas of the esophagogastric junction. Journal of Clinical Oncology: Official Journal of the American Society of Clinical Oncology. 2006;24(29):4692–8. doi:10.1200/JCO.2006.06.7801.

    Article  Google Scholar 

  6. Weber WA, Ott K, Becker K, Dittler HJ, Helmberger H, Avril NE, et al. Prediction of response to preoperative chemotherapy in adenocarcinomas of the esophagogastric junction by metabolic imaging. Journal of Clinical Oncology: Official Journal of the American Society of Clinical Oncology. 2001;19(12):3058–65.

    CAS  Google Scholar 

  7. Yun M, Kim T-S, Hwang H-S. Clinical Application of 18 F-FDG PET in Gastric Cancer. Nucl Med Mol Imaging. 2008;42 suppl 1:39–45.

    Google Scholar 

  8. Chen J, Cheong JH, Yun MJ, Kim J, Lim JS, Hyung WJ, et al. Improvement in preoperative staging of gastric adenocarcinoma with positron emission tomography. Cancer. 2005;103(11):2383–90. doi:10.1002/Cncr.21074.

    Article  PubMed  Google Scholar 

  9. Mochiki E, Kuwano H, Katoh H, Asao T, Oriuchi N, Endo K. Evaluation of 18 F-2-deoxy-2-fluoro-D-glucose positron emission tomography for gastric cancer. World J Surg. 2004;28(3):247–53. doi:10.1007/s00268-003-7191-5.

    Article  PubMed  Google Scholar 

  10. Mukai K, Ishida Y, Okajima K, Isozaki H, Morimoto T, Nishiyama S. Usefulness of preoperative FDG-PET for detection of gastric cancer. Gastric Cancer Off J Int Gastric Cancer Assoc Jpn Gastric Cancer Assoc. 2006;9(3):192–6. doi:10.1007/s10120-006-0374-7.

    Google Scholar 

  11. Stahl A, Ott K, Weber WA, Becker K, Link T, Siewert JR, et al. FDG PET imaging of locally advanced gastric carcinomas: correlation with endoscopic and histopathological findings. Eur J Nucl Med Mol Imaging. 2003;30(2):288–95. doi:10.1007/s00259-002-1029-5.

    Article  PubMed  CAS  Google Scholar 

  12. Yeung HW, Macapinlac H, Karpeh M, Finn RD, Larson SM. Accuracy of FDG-PET in gastric cancer. Preliminary experience. Clin Positron Imaging Off J Int Clin PET. 1998;1(4):213–21.

    Article  Google Scholar 

  13. Chae MJ, Cheon GJ, SwL MD, Byun BH, Kim S, Kim YC, et al. Patterns of FDG uptake in stomach on F-18 FDG positron emission tomography: correlation with endoscopic findings. Korean J Nucl Med. 2005;39(6):456–63.

    Google Scholar 

  14. Yun M, Choi HS, Yoo E, Bong JK, Ryu YH, Lee JD. The role of gastric distention in differentiating recurrent tumor from physiologic uptake in the remnant stomach on 18 F-FDG PET. J Nucl Med Off Publ Soc Nucl Med. 2005;46(6):953–7.

    Google Scholar 

  15. Han E-J, Cho W-H, Chung Y-A, Kim K-J, Maeng L-S, Sohn K-M, et al. Comparison between FDG uptake and clinicopathologic and immunohistochemical parameters in pre-operative PET/CT scan of primary gastric carcinoma. Nucl Med Mol Imaging. 2009;43(1):26–34.

    Google Scholar 

  16. Koga H, Sasaki M, Kuwabara Y, Hiraka K, Nakagawa M, Abe K, et al. An analysis of the physiological FDG uptake pattern in the stomach. Ann Nucl Med. 2003;17(8):733–8.

    Article  PubMed  CAS  Google Scholar 

  17. Milne AN, Sitarz R, Carvalho R, Carneiro F, Offerhaus GJ. Early onset gastric cancer: on the road to unraveling gastric carcinogenesis. Current Mol Med. 2007;7(1):15–28.

    Article  CAS  Google Scholar 

  18. Kokkola A, Sipponen P. Gastric carcinoma in young adults. Hepato-Gastroenterology. 2001;48(42):1552–5.

    PubMed  CAS  Google Scholar 

  19. Correa P, Shiao YH. Phenotypic and genotypic events in gastric carcinogenesis. Cancer Res. 1994;54(7 Suppl):1941s–3.

    PubMed  CAS  Google Scholar 

Download references

Acknowledgment

This work was supported in part by Clinical Investigation grant funded by Korea University College of Medicine. We had no conflict of interest.

Conflict of Interest

The authors declare that they have no conflict of interest.

Author information

Authors and Affiliations

  1. Department of Nuclear Medicine, Korea University Medical Center, Anam-Dong 5-Ga 126-1, Seongbuk-Gu, Seoul, 136-705, Korea

    Sun Young Oh, Gi Jeong Cheon, Young Chul Kim, Eugene Jeong, Seungeun Kim & Jae-Gol Choe

Authors
  1. Sun Young Oh
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Gi Jeong Cheon
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Young Chul Kim
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Eugene Jeong
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Seungeun Kim
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Jae-Gol Choe
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Gi Jeong Cheon.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Oh, S.Y., Cheon, G.J., Kim, Y.C. et al. Detectability of T-Measurable Diseases in Advanced Gastric Cancer on FDG PET-CT. Nucl Med Mol Imaging 46, 261–268 (2012). https://doi.org/10.1007/s13139-012-0149-5

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s13139-012-0149-5

Keywords

Search

Navigation