Initial FDG-PET/CT predicts survival in adults ewing sarcoma family of tumors
Initial FDG-PET/CT predicts survival in adults ewing sarcoma family of tumors
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DOI：
10.18632/oncotarget.20335
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发表时间：
2017-09-29
期刊：
影响因子：
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通讯作者：
Rousseau, Caroline
中科院分区：
文献类型：
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作者：
Jamet, Bastien;Carlier, Thomas;Rousseau, Caroline
目的：本回顾性研究的目的是确定，在基线，不同的FDG-PET/CT定量参数在一个同质的尤文肉瘤家族肿瘤（ESFT）的成人人口的预后价值，与临床相关的预后factors.Methods：成人患者从3个肿瘤中心，所有证明ESFT，回顾性包括。治疗前记录每例患者原发病灶的FDG-PET/CT定量参数（SUV（最大值、峰值和平均值）、代谢肿瘤体积（MTV）和总病灶糖酵解（TLG）），以及常见的临床预后因素（疾病分期、部位、肿瘤大小、性别和年龄）。结果：32例患者均获得了无进展生存期（PFS）和总生存期（OS）。中位年龄为21岁（范围：15 - 61岁）。19例患者（59%）最初为转移性。在多变量分析中，高SUVmax仍然是最差OS（p=0.02）和PFS（p=0.019）、最差PFS的转移性疾病（p=0.01）和最差OS的高SUVpeak（p=0.01）的独立预测因子。在PFS和OS的多变量分析中发现SUV峰值的最佳预后截止值为12.5（p=0.0001）。结论：在ESFT诊断时推荐用于初始分期的FDG-PET/CT可以是通过半定量参数预测长期成人患者结局的有用工具。
Purpose: The aim of this retrospective study was to determine, at baseline, the prognostic value of different FDG-PET/CT quantitative parameters in a homogenous Ewing Sarcoma Family of Tumors (ESFT) adult population, compared with clinically relevant prognostic factors.Methods: Adult patients from 3 oncological centers, all with proved ESFT, were retrospectively included. Quantitative FDG-PET/CT parameters (SUV (maximum, peak and mean), metabolic tumor volume (MTV) and total lesion glycolysis (TLG) of the primary lesion of each patient were recorded before treatment, as well as usual clinical prognostic factors (stage of disease, location, tumor size, gender and age). Then, their relation with progression free survival (PFS) and overall survival (OS) was evaluated.Results: 32 patients were included. Median age was 21 years (range, 15 to 61). Nineteen patients (59%) were initially metastatic. On multivariate analysis, high SUVmax remained independent predictor of worst OS (p=0.02) and PFS (p=0.019), metastatic disease of worst PFS (p=0.01) and high SUVpeak of worst OS (p=0.01). Optimal prognostic cut-off of SUVpeak was found at 12.5 in multivariate analyses for PFS and OS (p=0.0001).Conclusions: FDG-PET/CT, recommended at ESFT diagnosis for initial staging, can be a useful tool for predicting long-term adult patients outcome through semi-quantitative parameters.