Namikawa Tsutomu, Okabayshi Takehiro, Nogami Munenobu, Ogawa Yasuhiro, Kobayashi Michiya, Hanazaki Kazuhiro
Department of Surgery, Kochi Medical School, Kohasu, Okocho, Nankoku, Kochi, 783-8505, Japan,
Int J Clin Oncol. 2014 Aug;19(4):649-55. doi: 10.1007/s10147-013-0598-6. Epub 2013 Jul 24.
The significance of (18)F-2-deoxy-2-fluoro-glucose positron emission tomography combined with computed tomography imaging (FDG-PET/CT) in the diagnosis of gastric cancer remains controversial. This study aimed to evaluate the efficacy of preoperative FDG-PET/CT in staging of gastric cancer.
FDG-PET/CT results for 90 patients with gastric cancer were retrospectively examined. For quantitative PET analysis, FDG uptake was assessed based on the maximum standardized uptake values (SUVmax).
FDG-PET/CT detected the primary gastric cancer in 71 of the 90 patients (sensitivity 78.9 %). The median SUVmax was significantly higher in patients with T3/T4 disease than in those with T1/T2 (9.0 vs. 3.8; P < 0.001), in patients with distant metastasis than in those with no metastasis (9.5 vs. 7.7; P = 0.018), and with stage III/IV tumors than in those with stage I/II (9.0 vs. 4.7; P = 0.017). The SUVmax of the primary tumor was significantly correlated with tumor size (r = 0.461, P < 0.001). The sensitivity, specificity, and accuracy of FDG-PET/CT in assessing metastasis to regional lymph nodes were 64.5, 85.7, and 71.1 %, respectively.
FDG-PET/CT results are significantly associated with tumor progression in gastric cancer, and such findings can reliably identify cancer cell populations.
18F-2-脱氧-2-氟葡萄糖正电子发射断层扫描联合计算机断层扫描成像(FDG-PET/CT)在胃癌诊断中的意义仍存在争议。本研究旨在评估术前FDG-PET/CT在胃癌分期中的效能。
回顾性分析90例胃癌患者的FDG-PET/CT结果。对于PET定量分析,基于最大标准化摄取值(SUVmax)评估FDG摄取情况。
90例患者中,FDG-PET/CT检测出71例原发性胃癌(敏感性78.9%)。T3/T4期疾病患者的SUVmax中位数显著高于T1/T2期患者(9.0对3.8;P<0.001),远处转移患者的SUVmax中位数显著高于无转移患者(9.5对7.7;P=0.018),III/IV期肿瘤患者的SUVmax中位数显著高于I/II期患者(9.0对4.7;P=0.017)。原发性肿瘤的SUVmax与肿瘤大小显著相关(r=0.461,P<0.001)。FDG-PET/CT评估区域淋巴结转移的敏感性、特异性和准确性分别为64.5%、85.7%和71.1%。
FDG-PET/CT结果与胃癌肿瘤进展显著相关,这些发现能够可靠地识别癌细胞群体。