Abstract
Objective: In addition to staging, the identification of prognostic factors is important for predicting survival in patients with esophageal cancer after esophagectomy. The present study was performed to document the prognostic role of total lesion glycolysis (TLG) in postoperative patients. Methods: We retrospectively reviewed the records of 50 patients with esophageal squamous cell carcinoma who underwent surgical resection and complete lymph node dissection after positron emission tomography–computed tomography (PET–CT). A volume of interest was drawn on the primary lesion and suspected metastatic lymph nodes, and the maximum standardized uptake value (SUVmax), metabolic tumor volume (MTV), TLG of the primary lesion (TLGp), and whole-body TLG (TLGwb) were measured using an SUV cutoff of 2.5. Results: The study population included 50 patients with a mean age of 63.14 ± 8.18 years: 12 (24 %) were reported as stage I, 13 (26 %) as stage II, and 25 (50 %) as stage III. The median follow-up period was 20.46 months, and recurrences occurred in 17 patients. The mean SUVmax, MTV, TLGp, and TLGwb were 11.11 ± 6.40, 20.47 ± 22.88, 122.54 ± 180.98, and 129.37 ± 193.66, respectively. On the multivariate analysis, TLGp was a risk factor for disease-free survival (DFS) [hazard ratio (HR) = 1.002, p = 0.026], and TLGwb was a risk factor for DFS (HR = 1.002, p = 0.021) and overall survival (OS) (HR = 1.002, p = 0.044). The 3-year OS rates were 66.1 % in patients with low TLGwb (≤41.45) and 33.3 % in those with high TLGwb (>41.45; p = 0.004). The concordance index of the TLGwb was 0.752 (95 % CI 0.659–0.845). Conclusion: TLGwb is a significant prognostic factor for OS and DFS in patients with surgically treated esophageal squamous cell carcinoma.
| Original language | English |
|---|---|
| Pages (from-to) | 81-88 |
| Number of pages | 8 |
| Journal | Annals of Nuclear Medicine |
| Volume | 30 |
| Issue number | 1 |
| DOIs | |
| State | Published - 1 Jan 2016 |
| Externally published | Yes |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Keywords
- Esophageal cancer
- PET–CT
- Survival analysis
- Total lesion glycolysis
- Volume-dependent parameter
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