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Purpose <p>This study investigates the prognostic value of [<sup>18</sup>F]FDG PET/CT-derived parameters in predicting PFS and OS in mucosal melanoma patients.</p> Methods <p>This single-center retrospective study included 58 patients with primary mucosal melanoma who underwent [<sup>18</sup>F]FDG PET/CT imaging. PET/CT parameters (SUVmax, SUVr, WBMTV, WBTLG) were extracted from delineated lesions. Kaplan-Meier curves, ROC analysis, and univariate and multivariate Cox regression were used to assess predictive performance and identify prognostic factors for PFS and OS.</p> Results <p>The median follow-up was 15 months (range: 1–48 months). Disease progression occurred in 47 patients (median PFS = 8.0 months, 95% CI: 7.0–11.0 months), and 30 patients died (median OS = 18.0 months, 95% CI: 15.0 months - NE). ROC analysis showed all [<sup>18</sup>F]FDG PET/CT parameters (SUVmax, SUVr, WBMTV and WBTLG) could predicted progression and mortality (all <i>p</i> &lt; 0.01). The optimal cutoff value of SUVmax for predicting disease progression was 10.8&#xa0;g/ml; the optimal cutoff value of WBMTV for predicting mortality was 14.1 cm<sup>3</sup>. In univariate COX analysis, SUVmax and SUVr were significantly linked to both PFS and OS (both <i>p</i> &lt; 0.05), while WBMTV and WBTLG only correlated with OS (both <i>p</i> &lt; 0.01). Multivariate analysis identified SUVmax as an independent predictor of PFS (HR = 1.04, <i>p</i> &lt; 0.05) and WBMTV as an independent predictor of OS (HR = 2.15, <i>p</i> &lt; 0.05).</p> Conclusion <p>[<sup>18</sup>F]FDG PET/CT parameters can aid in risk stratification and treatment decisions for mucosal melanoma. SUVmax predicts disease progression, while WBMTV forecasts overall survival.</p>

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

  • 期刊论文

  • 发表日期：

    2026年7月20日

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  • Zhi Lin,
  • Cheng Tang,
  • Tong Liu,
  • Xingyi Wang,
  • Fan Hu,
  • Xiao Zhang,
  • Xiaoli Lan

摘要

Purpose

This study investigates the prognostic value of [18F]FDG PET/CT-derived parameters in predicting PFS and OS in mucosal melanoma patients.

Methods

This single-center retrospective study included 58 patients with primary mucosal melanoma who underwent [18F]FDG PET/CT imaging. PET/CT parameters (SUVmax, SUVr, WBMTV, WBTLG) were extracted from delineated lesions. Kaplan-Meier curves, ROC analysis, and univariate and multivariate Cox regression were used to assess predictive performance and identify prognostic factors for PFS and OS.

Results

The median follow-up was 15 months (range: 1–48 months). Disease progression occurred in 47 patients (median PFS = 8.0 months, 95% CI: 7.0–11.0 months), and 30 patients died (median OS = 18.0 months, 95% CI: 15.0 months - NE). ROC analysis showed all [18F]FDG PET/CT parameters (SUVmax, SUVr, WBMTV and WBTLG) could predicted progression and mortality (all p < 0.01). The optimal cutoff value of SUVmax for predicting disease progression was 10.8 g/ml; the optimal cutoff value of WBMTV for predicting mortality was 14.1 cm3. In univariate COX analysis, SUVmax and SUVr were significantly linked to both PFS and OS (both p < 0.05), while WBMTV and WBTLG only correlated with OS (both p < 0.01). Multivariate analysis identified SUVmax as an independent predictor of PFS (HR = 1.04, p < 0.05) and WBMTV as an independent predictor of OS (HR = 2.15, p < 0.05).

Conclusion

[18F]FDG PET/CT parameters can aid in risk stratification and treatment decisions for mucosal melanoma. SUVmax predicts disease progression, while WBMTV forecasts overall survival.