April 2011
Volume 52, Issue 14
Free
ARVO Annual Meeting Abstract  |   April 2011
Association of High Metabolic Activity Measured by Positron Emission Tomography Imaging with Poor Prognosis of Choroidal Melanoma
Author Affiliations & Notes
  • Christopher S. Lee
    Ophthalmology,
    Yonsei Univ College of Medicine, Seoul, Republic of Korea
  • Min Kim
    Ophthalmology,
    Yonsei Univ College of Medicine, Seoul, Republic of Korea
  • Hee J. Kwon
    Ophthalmology,
    Yonsei Univ College of Medicine, Seoul, Republic of Korea
  • Kyu S. Lee
    Ophthalmology,
    Yonsei Univ College of Medicine, Seoul, Republic of Korea
  • Arthur E. Cho
    Division of Nuclear Medicine, Department of Diagnostic Radiology,
    Yonsei Univ College of Medicine, Seoul, Republic of Korea
  • Sung C. Lee
    Ophthalmology,
    Yonsei Univ College of Medicine, Seoul, Republic of Korea
  • Footnotes
    Commercial Relationships  Christopher S. Lee, None; Min Kim, None; Hee J. Kwon, None; Kyu S. Lee, None; Arthur E. Cho, None; Sung C. Lee, None
  • Footnotes
    Support  None
Investigative Ophthalmology & Visual Science April 2011, Vol.52, 3273. doi:
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      Christopher S. Lee, Min Kim, Hee J. Kwon, Kyu S. Lee, Arthur E. Cho, Sung C. Lee; Association of High Metabolic Activity Measured by Positron Emission Tomography Imaging with Poor Prognosis of Choroidal Melanoma. Invest. Ophthalmol. Vis. Sci. 2011;52(14):3273.

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      © ARVO (1962-2015); The Authors (2016-present)

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Abstract

Purpose: : To evaluate prognostic value of positron emission tomography (PET) imaging in patients with choroidal melanoma

Methods: : Sixty-four consecutive patients with choroidal melanoma who underwent pretreatment whole-body PET or PET/computed tomography and had one year of follow-up or more were retrospectively reviewed. Metabolic activity of choroidal melanoma by PET imaging was evaluated with respect to survival of patients.

Results: : Tumor metabolic activity measured in standardized uptake value (SUV) (P<0.001), largest basal diameter of tumor (P=0.001), and tumor height (P=0.043) significantly correlated with metastatic death on univariate analysis, whereas only metabolic activity (P=0.005) was significant on multivariate analysis (Cox proportional hazards regression). ROC curve analysis showed that SUV > 2.3 was 80% sensitive and 80% specific in predicting metastatic death. There was an inverse correlation between tumor metabolic activity and time to metastasis (P=0.023, r2=0.547; linear regression).

Conclusions: : Metabolic activity by PET imaging significantly predicted survial of patients with choroidal melanoma.

Keywords: melanoma • tumors • imaging/image analysis: clinical 
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