Departments of1Clinical Physiology, Nuclear Medicine & PET.
2Neurosurgery, and.
J Neurosurg. 2018 Apr 6;130(2):451-464. doi: 10.3171/2017.8.JNS171577.
The diagnostic accuracy of O-(2-[18F]fluoroethyl)-l-tyrosine (FET) PET scanning in detecting the malignant transformation of low-grade gliomas (LGGs) is controversial. In this study, the authors retrospectively assessed the diagnostic potential of FET PET in patients with MRI-suspected malignant progression of LGGs that had previously been treated and the relationship between FET uptake and MRI and molecular biomarkers.
Forty-two patients who had previously undergone surgical or multimodal treatment for a histologically verified LGG were referred for FET PET assessment because of clinical signs and/or MRI findings suggestive of tumor progression. Maximal and mean tumor-to-brain ratios (TBRmax and TBRmean, respectively) on FET PET as well as kinetic FET PET parameters (time to peak [TTP] and time-activity curve [TAC]) were determined. Final diagnoses were confirmed histologically. The diagnostic accuracy of FET parameters, separately and combined, for the detection of malignant progression was evaluated using receiver operating characteristic (ROC) curve analysis. Possible predictors that might influence the diagnostic accuracy of FET PET were assessed using multiple linear regression analysis. Spearman’s rank correlation r method was applied to determine the correlation between TBRmax and TAC, and molecular biomarkers from tumor tissues.
A total of 47 FET PET scans were obtained and showed no significant association between FET parameters and contrast enhancement on MRI. ROC curve analyses overall were unable to demonstrate any significant differentiation between nontransformed LGGs and LGGs that had transformed to high-grade gliomas when evaluating FET parameters separately or combined. After excluding the oligodendroglial subgroup, a significant difference was observed between nontransformed and transformed LGGs when combining FET parameters (i.e., TBRmax > 1.6, TAC describing a plateau or decreasing pattern, and TTP < 25 minutes), with the best result yielded by a combined analysis of TBRmax > 1.6 and TAC with a plateau or decreasing pattern (sensitivity 75% and specificity 83%, p = 0.003). The difference was even greater when patients who had previously undergone oncological treatment were also excluded (sensitivity 93% and specificity 100%, p = 0.001). Multiple linear regression analysis revealed that the presence of an oligodendroglial component (p = 0.029), previous oncological treatment (p = 0.039), and the combined FET parameters (p = 0.027) were significant confounding factors in the detection of malignant progression. TBRmax was positively correlated with increasing cell density (p = 0.040) and inversely correlated with IDH1 mutation (p = 0.006).
A single FET PET scan obtained at the time of radiological and/or clinical progression seems to be of limited value in distinguishing transformed from nontransformed LGGs, especially if knowledge of the primary tumor histopathology is not known. Therefore, FET PET imaging alone is not adequate to replace histological confirmation, but it may provide valuable information on the location and delineation of active tumor tissue, as well as an assessment of tumor biology in a subgroup of LGGs.
O-(2-[18F]氟乙基)-L-酪氨酸(FET)PET 扫描在检测低级别胶质瘤(LGG)恶性转化中的诊断准确性存在争议。本研究作者回顾性评估了 FET PET 在先前接受治疗的 MRI 怀疑恶性进展的 LGG 患者中的诊断潜力,以及 FET 摄取与 MRI 和分子生物标志物之间的关系。
42 例患者因临床症状和/或 MRI 发现提示肿瘤进展而接受了手术或多模态治疗,经组织学证实为 LGG,因此被转介进行 FET PET 评估。在 FET PET 上确定最大和平均肿瘤与脑比值(TBRmax 和 TBRmean)以及 FET PET 的动力学参数(达峰时间 [TTP] 和时间-活性曲线 [TAC])。最终诊断通过组织学证实。使用受试者工作特征(ROC)曲线分析评估 FET 参数单独和联合检测恶性进展的诊断准确性。使用多元线性回归分析评估可能影响 FET PET 诊断准确性的预测因子。Spearman 秩相关 r 法用于确定 TBRmax 和 TAC 之间以及肿瘤组织中分子生物标志物之间的相关性。
共获得 47 次 FET PET 扫描,但 FET 参数与 MRI 增强之间无显著相关性。总体而言,ROC 曲线分析表明,在单独或联合评估 FET 参数时,非转化性 LGGs 和转化为高级别胶质瘤的 LGGs之间无法进行任何有意义的区分。排除少突胶质细胞亚组后,当联合使用 FET 参数(即 TBRmax>1.6、TAC 呈平台或下降模式以及 TTP<25 分钟)时,非转化性和转化性 LGGs 之间存在显著差异,联合分析 TBRmax>1.6 和 TAC 呈平台或下降模式的结果最佳(敏感性 75%,特异性 83%,p=0.003)。当排除先前接受过肿瘤治疗的患者时,差异更大(敏感性 93%,特异性 100%,p=0.001)。多元线性回归分析显示,少突胶质细胞成分的存在(p=0.029)、先前的肿瘤治疗(p=0.039)和联合 FET 参数(p=0.027)是检测恶性进展的显著混杂因素。TBRmax 与细胞密度的增加呈正相关(p=0.040),与 IDH1 突变呈负相关(p=0.006)。
在影像学和/或临床进展时获得的单次 FET PET 扫描似乎在区分转化性和非转化性 LGGs 方面价值有限,特别是如果不知道原发性肿瘤的组织病理学知识。因此,单独的 FET PET 成像不足以替代组织学确认,但它可以提供有关活性肿瘤组织位置和描绘以及 LGG 亚组中肿瘤生物学的有价值的信息。