[18F]FDG PET/CT in mucosal melanoma lesional metabolic activity predicts progression

Zhi Lin1,2,3,4, Cheng Tang1,2,3,4, Tong Liu1,2,3,4

  • 1Department of Nuclear Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.

Abstract

Insights

18F]FDG PET/CT parameters like SUVmax and WBMTV can predict outcomes in mucosal melanoma. SUVmax indicates disease progression risk, while WBMTV forecasts overall survival, aiding treatment decisions.

Area of Science:

  • Nuclear Medicine
  • Oncology
  • Radiomics

Background:

  • Mucosal melanoma is a rare and aggressive cancer.
  • Accurate prognostic tools are crucial for patient management and treatment stratification.
  • 18F]FDG PET/CT offers quantitative imaging insights into tumor biology.

Purpose of the Study:

  • To evaluate the prognostic significance of quantitative [18F]FDG PET/CT parameters in predicting progression-free survival (PFS) and overall survival (OS) in patients with mucosal melanoma.
  • To identify specific PET/CT-derived metrics that can serve as independent predictors of clinical outcomes.

Main Methods:

  • A retrospective analysis of 58 primary mucosal melanoma patients who underwent [18F]FDG PET/CT.
  • Extraction of quantitative parameters including SUVmax, SUVr, WBMTV, and WBTLG from tumor lesions.
  • Statistical analysis using Kaplan-Meier, ROC, and Cox regression models to assess predictive values for PFS and OS.

Main Results:

  • All investigated [18F]FDG PET/CT parameters demonstrated significant predictive capability for both progression and mortality (p < 0.01).
  • SUVmax (cutoff 10.8 g/ml) independently predicted disease progression (PFS) (HR=1.04, p<0.05).
  • WBMTV (cutoff 14.1 cm3) independently predicted overall survival (OS) (HR=2.15, p<0.05).

Conclusions:

  • Quantitative [18F]FDG PET/CT parameters are valuable tools for risk stratification in mucosal melanoma.
  • SUVmax is a significant predictor of disease progression.
  • WBMTV is a robust predictor of overall survival, informing clinical decision-making.

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