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KMID : 1141820180180030218
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Journal of Gastric Cancer
2018 Volume.18 No. 3 p.218 ~ p.229
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Preoperative Nodal 18F-FDG Avidity Rather than Primary Tumor Avidity Determines the Prognosis of Patients with Advanced Gastric Cancer
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Kwon Hyun-Woo
An Liang
Kwon Hye-Ryeong
Park Sung-Soo
Kim Sung-Eun
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Abstract
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Purpose: This study investigated whether the metabolic avidity of primary tumors and/or metastatic lymph nodes (LNs) measured by 18F-fluorodeoxyglucose (18F-FDG) positron emission tomography/computed tomography (PET/CT) was related to survival after surgery in patients with advanced gastric cancer (AGC).
Materials and Methods: One hundred sixty-eight patients with AGC who underwent preoperative 18F-FDG PET/CT and curative resection were included. The 18F-FDG avidity of the primary gastric tumor and LNs was determined quantitatively and qualitatively. The diagnostic performance of 18F-FDG PET/CT was calculated, and the prognostic significance of 18F-FDG avidity for recurrence-free survival (RFS) and overall survival (OS) was assessed.
Results: In all, 51 (30.4%) patients experienced recurrence, and 32 (19.0%) died during follow-up (median follow-up duration, 35 months; range, 3?81 months); 119 (70.8%) and 33 (19.6%) patients showed 18F-FDG-avid primary tumors and LNs, respectively. 18F-FDG PET/CT showed high sensitivity (73.8%) for the detection of advanced pathologic T (pT ≥3) stage and high specificity (92.2%) for the detection of advanced pN (≥2) stage. 18F-FDG avidity of LNs was significantly associated with RFS (P=0.012), whereas that of primary tumors did not show significance (P=0.532). Univariate and multivariate analyses revealed that 18F-FDG avidity of LNs was an independent prognostic factor for RFS (hazard ratio=2.068; P=0.029).
Conclusions: 18F-FDG avidity of LNs is an independent prognostic factor for predicting RFS. Preoperative 18F-FDG PET/CT can be used to determine the risk and prognosis of patients with AGC after curative resection.
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KEYWORD
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Gastric cancer, 18F-fluorodeoxyglucose, Positron Emission Tomography Computed Tomography, Recurrence
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