The aim of this study was to investigate the value of 18F-FDG parameters of the primary tumor in predicting occult lymph node metastasis in patients with clinically N0 esophageal squamous ce'/> Prediction of Occult Lymph Node Metastasis by Metabolic Parameters in Patients with Clinically N0 Esophageal Squamous Cell Carcinoma
首页> 外文期刊>The Journal of Nuclear Medicine >Prediction of Occult Lymph Node Metastasis by Metabolic Parameters in Patients with Clinically N0 Esophageal Squamous Cell Carcinoma
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Prediction of Occult Lymph Node Metastasis by Metabolic Parameters in Patients with Clinically N0 Esophageal Squamous Cell Carcinoma

机译:N0食管鳞癌临床患者通过代谢参数预测隐匿性淋巴结转移

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id="p-2">The aim of this study was to investigate the value of 18F-FDG parameters of the primary tumor in predicting occult lymph node metastasis in patients with clinically N0 esophageal squamous cell carcinoma. >Methods: The study comprised 143 consecutive patients (mean age ?± SD, 63.9 ?± 8.6 y; range, 31.8-81.2 y) from May 2003 to January 2010 who had clinically N0 esophageal squamous cell carcinoma based on preoperative imaging studies including chest CT, 18F-FDG PET/CT, and endoscopic ultrasound. We measured maximum standardized uptake value (SUVmax), mean SUV (SUVmean), total lesion glycolysis (TLG), and metabolic tumor volume (MTV) of the primary tumor and analyzed the relationship between clinicopathologic variables including PET parameters and occult lymph node metastasis using a logistic regression model. >Results: Univariate analysis indicated that clinical T classification, SUVmax, SUVmean, MTV, TLG, and longitudinal diameter of tumor were significant risk factors associated with occult lymph node metastasis. Optimal thresholds were cT2-4, SUVmax a‰¥ 4.8, SUVmean a‰¥ 3.2, MTV a‰¥ 5.5 cm3, TLG a‰¥ 220, and diameter a‰¥ 3.8 cm. After multivariate analysis, the logistic regression model revealed that clinical T classification (hazard ratio [HR], 4.6; 95% confidence interval [CI], 1.7-12.4; P = 0.003) and SUVmax (HR, 3.5; 95% CI, 1.3-9.2; P = 0.012) were independent risk factors. The combination of SUVmax and clinical T classification (HR, 13.2; 95% CI, 5.4-31.9; P 0.001) was a significantly better powerful risk factor for occult lymph node metastasis than SUVmax or clinical T classification alone. Sensitivity, specificity, positive predictive value, and negative predictive value of the combination of clinical T classification and SUVmax were 73.0%, 81.5%, 60.0%, and 89.7%, respectively. >Conclusion: SUVmax, combined with clinical T classification, may be useful for predicting occult lymph node metastasis in patients with clinically N0 squamous cell carcinoma of the esophagus.
机译:id =“ p-2”>本研究的目的是研究临床原发性食管鳞癌N0患者的 18 F-FDG参数在预测隐匿性淋巴结转移中的价值细胞癌。 >方法:该研究包括2003年5月至2010年1月连续143例临床上为N0食管鳞状细胞癌的患者(平均年龄±±SD,63.9±±8.6 y;范围,31.8-81.2 y)。术前影像学检查,包括胸部CT, 18 F-FDG PET / CT和内窥镜超声检查。我们测量了原发肿瘤的最大标准摄取值(SUV max ),平均SUV(SUV mean ),总病变糖酵解(TLG)和代谢肿瘤体积(MTV)并使用logistic回归模型分析了包括PET参数在内的临床病理变量与隐匿性淋巴结转移之间的关系。 >结果:单因素分析表明,临床T分类,SUV max ,SUV 平均值,MTV,TLG和肿瘤纵向直径是重要的危险因素与隐匿性淋巴结转移有关。最佳阈值是cT2-4,SUV max a‰¥ 4.8,SUV mean a‰¥ 3.2,MTV 5.5厘米 3 , TLG 220毫米,直径3.8厘米。经过多因素分析后,逻辑回归模型显示临床T分类(危险比[HR]为4.6; 95%置信区间[CI]为1.7-12.4; P = 0.003)和SUV max (HR,3.5; 95%CI,1.3-9.2; P = 0.012)是独立的危险因素。 SUV max 和临床T分类(HR,13.2; 95%CI,5.4-31.9; P <0.001)的组合是明显更好的隐匿性淋巴结危险因素结节转移大于单纯的SUV max 或临床T分类。临床T分类和SUV max 结合的敏感性,特异性,阳性预测值和阴性预测值分别为73.0%,81.5%,60.0%和89.7%。 >结论: SUV max 与临床T分类相结合,对于预测临床食管N0鳞状细胞癌隐匿性淋巴结转移可能有用。

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