Prognostic and predictive value of supradiaphragmatic lymph node involvement detected by 18F-FDG PET/CT in advanced ovarian cancer: a systematic review and meta-analysis

Christian Braun & Christine Brambs et al. · 2025-10-29

Abstract

Objective

To evaluate the prognostic and predictive significance of supradiaphragmatic lymph node (SDLN) positivity detected by 18F-fluorodeoxyglucose positron emission tomography/computed tomography (18F-FDG PET/CT) in patients undergoing primary cytoreductive surgery for advanced epithelial ovarian cancer.

Methods

A systematic review and meta-analysis was conducted according to PRISMA 2020 guidelines and registered with PROSPERO. Studies reporting on overall survival (OS), progression-free survival (PFS), and complete cytoreduction (R0) in patients with and without 18F-FDG PET/CT-detected SDLN metastases were identified through comprehensive database searches conducted on December 18, 2024. Data from five retrospective, single-center studies comprising a total of 605 patients were included in the quantitative synthesis. Meta-analyses were performed using a random-effects model.

Results

SDLN positivity on 18F-FDG PET/CT was significantly associated with worse survival outcomes and lower resection rates. The pooled hazard ratio (HR) for OS was 1.60 (95% CI 1.19–2.25, p  = 0.002) and for PFS 1.53 (95% CI 1.19–1.96; p  = 0.0009), indicating poorer prognosis in SDLN-positive patients. The odds of achieving complete cytoreduction were significantly reduced in this group (OR = 0.32, 95% CI 0.15–0.68, p  = 0.003). While heterogeneity was low for progression-free and overall survival ( I 2  = 0%), moderate heterogeneity was observed in the analysis of complete cytoreduction ( I 2  = 54%). None of the included studies provided histologic confirmation of 18F-FDG PET/CT-positive SDLNs.

Conclusions

18F-FDG PET/CT-detected SDLN positivity is associated with worse survival and lower resectability in advanced ovarian cancer. Due to lacking histologic confirmation and retrospective data, prospective validation is needed.

Authors
Christian Braun, Julia Peikert, Christine Brambs