目的:探讨2-脱氧-2-氟-18-氟-D-葡萄糖正电子发射断层扫描/计算机断层扫描(18F-FDGPET/CT)参数对高危神经母细胞瘤(HR-NB)中MYCN扩增的预测价值。
方法:回顾性分析2018年1月至2019年12月在我院行MYCN检测和18F-FDGPET/CT显像的68例HR-NB患者。根据MYCN测试的结果,患者分为MYCN扩增(MNA)组和MYCN非扩增(MYCN-NA)组.18F-FDGPET/CT参数,包括最大标准化摄取值(SUVmax),平均标准化摄取值(SUVmean),峰值标准化摄取值(SUVpeak),肿瘤代谢体积(MTV),总病变糖酵解(TLG),变异系数(COV),评价累积SUV-体积直方图指数(AUC-CSH指数)曲线下面积。通过单变量和多变量逻辑回归分析确定独立预测因子,并使用受试者工作特征(ROC)曲线评估其诊断性能。
结果:单因素logistic回归分析显示SUVpeak与MYCN扩增显著相关。多因素logistic回归分析显示,SUVpeak是HR-NB中MYCN扩增的独立预测因子[比值比(OR)=0.673,95%可信区间(95%CI):0.494~0.917,P=0.012]。ROC曲线分析表明,与单独使用SUVpeak相比,包含SUVpeak的预测模型具有更高的诊断性能[曲线下面积(AUC):0.790,95%CI:0.677-0.881,灵敏度:0.861,特异性:0.591,阳性预测值(PPV):0.820,阴性预测值(NPV):0.722]。
结论:SUVpeak可以预测HR-NB患者的MYCN扩增。通过结合SUVpeak和年龄构建的预测模型可以非侵入地区分HR-NB中的MYCN状态,与单独使用SUVpeak相比具有更好的疗效。
OBJECTIVE: To investigate the predictive value of 2-deoxy-2-fluorine-18-fluoro-D-glucose positron emission tomography/computed tomography (18F-FDG PET/CT) parameters for MYCN amplification in high-risk neuroblastoma (HR-NB).
METHODS: A retrospective analysis was performed by reviewing 68 HR-NB patients who underwent MYCN testing and 18F-FDG PET/CT imaging at our hospital between January 2018 and December 2019. Based on the results of MYCN testing, patients were categorized into either the MYCN-amplified (MNA) or MYCN non-amplified (MYCN-NA) group. The 18F-FDG PET/CT parameters, including maximum standardized uptake value (SUVmax), mean standardized uptake value (SUVmean), peak standardized uptake value (SUVpeak), tumor metabolic volume (MTV), total lesion glycolysis (TLG), coefficient of variation (COV), and areas under the curve of cumulative SUV-volume histogram index (AUC-CSH index) were evaluated. Independent predictors were identified through univariate and multivariate logistic regression analyses, and their diagnostic performance was evaluated using the receiver-operating characteristic (ROC) curve.
RESULTS: Univariate logistic regression analysis revealed that SUVpeak was significantly associated with MYCN amplification. Multivariate logistic regression analysis showed that SUVpeak was an independent predictor of MYCN amplification in HR-NB [Odds ratio (OR) = 0.673, 95 % confidence interval (95 % CI): 0.494-0.917, P = 0.012]. ROC curve analysis demonstrated that the predictive model including SUVpeak had higher diagnostic performance [area under the curve (AUC): 0.790, 95 % CI: 0.677-0.881, sensitivity: 0.861, specificity: 0.591, positive predictive value (PPV): 0.820, negative predictive value (NPV): 0.722] compared to using SUVpeak alone (AUC: 0.640, 95 % CI: 0.514-0.752, sensitivity: 0.630, specificity: 0.682, PPV: 0.806, NPV: 0.469).
CONCLUSIONS: SUVpeak can predict the MYCN amplification in HR-NB patients. The predictive model constructed by combining SUVpeak and age can distinguish MYCN status in HR-NB non-invasively with superior efficacy compared to using SUVpeak alone.