Metabolic tumour volume and total lesion glycolysis, measured using preoperative 18F-FDG PET/CT, predict the recurrence of endometrial cancer.

Shim, S-H; Kim, D-Y; Lee, D-Y; Lee, S-W; Park, J-Y; Lee, J J; Kim, J-H; Kim, Y-M et al. · BJOG · 2014

retrospective_cohort · Level III

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Abstract

To investigate the prognostic value of metabolic tumour volume (MTV) and total lesion glycolysis (TLG), measured by preoperative positron emission tomography and computerised tomography (PET/CT), in women with endometrial cancer. Retrospective cohort study. A tertiary referral centre. Women with endometrial cancer who underwent preoperative (18)F-FDG PET/CT in the period 2004-2009. Clinicopathological data for 84 women with endometrial cancer were reviewed from medical records. Cox proportional hazards modelling identified recurrence predictors. The receiver operating characteristic (ROC) curve was used to determine the cut-off value for predicting recurrence. Disease-free survival (DFS). The number of patients with International Federation of Gynecology and Obstetrics (FIGO) stages were: I (58); II (11); III (13); and IV (2). The median DFS was 48 (1-85) months. By univariate analysis, DFS was significantly associated with FIGO stage, histology, peritoneal cytology, myometrial invasion, nodal metastasis, serum CA-125, MTV, and TLG. Using multivariate analysis, the MTV (P = 0.010; hazard ratio, HR = 1.010; 95% confidence interval, 95% CI = 1.002-1.018) and TLG (P = 0.024; HR = 1.001; 95% CI = 1.000-1.002) were associated with DFS. The area under the ROC curve was 0.679 (95% CI = 0.505-0.836) after discriminating for recurrence using an MTV cut-off value of 17.15 ml. Regarding TLG, the cut-off value was 56.43 g and the area under the ROC plot was 0.661 (95% CI = 0.501-0.827). Kaplan-Meier survival graphs demonstrated a significant difference in DFS between groups categorised using the cut-off values for MTV and TLG (P < 0.022 for MTV and P < 0.047 for TLG, by log-rank test). Preoperative MTV and TLG could be independent prognostic factors predicting the recurrence of endometrial cancer.

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