Wang Jian-Lin, Shi Ai-Qi, Fan Chou-Chou, Wang Yu-Zhu, Guo Guo-Rong, Liu Jiang-Yan
Department of Nuclear Medicine,Lanzhou University Second Hospital,Lanzhou 730030,China.
Zhongguo Yi Xue Ke Xue Yuan Xue Bao. 2022 Aug;44(4):628-635. doi: 10.3881/j.issn.1000-503X.14434.
Objective To investigate the value of F-FDG PET/CT metabolic parameters and metabolic heterogeneity for predicting the expression of human epidermal growth factor receptor 2 (HER2) in patients with gastric cancer. Methods A total of 45 patients with gastric cancer confirmed by surgical pathology between September 2016 and May 2021 were enrolled in this study.All the patients underwent F-FDG PET/CT examination before surgery.The maximum standardized uptake value (SUVmax),metabolic tumor volume (MTV),and total lesion glycolysis (TLG) of primary gastric cancer were measured,and the linear regression slope of MTV corresponding to different SUVmax thresholds (40% SUVmax and 80% SUVmax) was calculated.The absolute value of the slope was deemed to represent the metabolic heterogeneity of primary gastric cancer,termed the heterogeneity index (HI).Univariate and multivariate Logistic regression analyses were conducted to evaluate the correlations of F-FDG PET/CT metabolic parameters and HI with HER2 expression. Results The 45 patients included 10 with positive HER2 expression and 35 with negative result.The MTV (=0.043) and HI (=0.048) were lower in the patients with positive HER2 expression than in the patients with negative HER2 expression.The MTV and HI had the optimal thresholds of 12.10 cm and 3.71,respectively,which respectively showed the accuracy of 62.2% and 57.8% for predicting HER2 expression.The univariate Logistic regression showed that the tumor differentiation degree,MTV,and HI were correlated with HER2 expression,while the multivariate Logistic regression showed that only the tumor differentiation degree (=20.130,95%=1.843-219.860,=0.014) was an independent predictor for HER2 expression.A further stratified analysis of the tumor differentiation degree showed that HER2 expression only varied among different MTV threshold groups in patients with moderately/well differentiated gastric cancer (=0.031). Conclusions MTV and HI were associated with HER2 expression in gastric cancer,whereas neither played an independent predictive role.Therefore,these factors should be combined with clinicopathological characteristics of patients to jointly guide treatment decisions.
目的 探讨¹⁸F-氟代脱氧葡萄糖(¹⁸F-FDG)PET/CT代谢参数及代谢异质性对预测胃癌患者人表皮生长因子受体2(HER2)表达的价值。方法 纳入2016年9月至2021年5月间经手术病理确诊的45例胃癌患者。所有患者在手术前行¹⁸F-FDG PET/CT检查。测量原发性胃癌的最大标准化摄取值(SUVmax)、代谢肿瘤体积(MTV)和总病变糖酵解(TLG),并计算不同SUVmax阈值(40% SUVmax和80% SUVmax)对应的MTV线性回归斜率。斜率绝对值被视为代表原发性胃癌的代谢异质性,称为异质性指数(HI)。采用单因素和多因素Logistic回归分析评估¹⁸F-FDG PET/CT代谢参数及HI与HER2表达的相关性。结果 45例患者中,HER2表达阳性10例,阴性35例。HER2表达阳性患者的MTV(=0.043)和HI(=0.048)低于HER2表达阴性患者。MTV和HI的最佳阈值分别为12.10 cm和3.71,预测HER2表达的准确率分别为62.2%和57.8%。单因素Logistic回归显示,肿瘤分化程度、MTV和HI与HER2表达相关,而多因素Logistic回归显示,只有肿瘤分化程度(=20.130,95%=1.843 - 219.860,=0.014)是HER2表达的独立预测因素。对肿瘤分化程度进行进一步分层分析显示,HER2表达仅在中/高分化胃癌患者的不同MTV阈值组间存在差异(=0.031)。结论 MTV和HI与胃癌HER2表达相关,但均未发挥独立预测作用。因此,这些因素应结合患者临床病理特征共同指导治疗决策。