Intra-lesional spatial correlation of static and dynamic FET-PET parameters with MRI-based cerebral blood volume in patients with untreated glioma
Intra-lesional spatial correlation of static and dynamic FET-PET parameters with MRI-based cerebral blood volume in patients with untreated glioma
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DOI：
10.1007/s00259-016-3585-0
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发表时间：
2017-03-01
影响因子：
9.1
通讯作者：
Pyka, Thomas
中科院分区：
文献类型：
--
作者：
Goettler, Jens;Lukas, Mathias;Pyka, Thomas
f -18-氟基酪氨酸-(FET)- pet和基于mri的相对脑血容量（rCBV）都被用于表征胶质瘤。最近，有研究报道了峰值静态场效应晶体管摄取与rCBV之间的个体间相关性。在此，我们评估了FET-PET参数与rCBV之间的局部病变内关系。方法30例未经治疗的胶质瘤患者（27例高级别）在3t混合扫描仪上同时进行PET/MRI，获得结构和动态敏感性对比序列。静态fet摄取和动态fet斜率与患者和病变内肿瘤热点的rCBV相关，使用混合效应模型来解释个体间差异。此外，确定了fet摄取和rCBV定义的肿瘤体积的最大一致性。结果：虽然可以证实峰值静态fet摄取与rCBV之间的个体间关系，但我们的局部内、体素分析显示显著的正相关（中位数r = 0.374, p < 0.0001）。同样，fet斜率和rCBV之间也存在显著的个体间和个体内相关性。然而，rCBV仅解释了静态FET-PET方差的12%和动态FET-PET方差的5%，各自肿瘤体积的最大重叠平均为37%。我们的研究结果表明，基于mr的rCBV峰值与静态FET摄取之间的关系也可以在个体内以体素为基础观察到，也适用于动态FET参数，可能确定更高生物恶性肿瘤的热点。然而，只有一小部分FET-PET信号差异可以用rCBV解释，两种模式确定的肿瘤体积仅显示适度重叠。这些发现表明，FET-PET和基于mr的rCBV在胶质瘤生物学方面提供了一致和互补的信息。
Purpose F-18-fluorethyltyrosine-(FET)-PET and MRI-based relative cerebral blood volume (rCBV) have both been used to characterize gliomas. Recently, inter-individual correlations between peak static FET-uptake and rCBV have been reported. Herein, we assess the local intra-lesional relation between FET-PET parameters and rCBV.Methods Thirty untreated glioma patients (27 high-grade) underwent simultaneous PET/MRI on a 3 T hybrid scanner obtaining structural and dynamic susceptibility contrast sequences. Static FET-uptake and dynamic FET-slope were correlated with rCBV within tumour hotspots across patients and intra-lesionally using a mixed-effects model to account for inter-individual variation. Furthermore, maximal congruency of tumour volumes defined by FET-uptake and rCBV was determined.Results While the inter-individual relationship between peak static FET-uptake and rCBV could be confirmed, our intralesional, voxel-wise analysis revealed significant positive correlations (median r = 0.374, p < 0.0001). Similarly, significant inter-and intra-individual correlations were observed between FET-slope and rCBV. However, rCBV explained only 12% of the static and 5% of the dynamic FET-PET variance and maximal overlap of respective tumour volumes was 37% on average.Conclusions Our results show that the relation between peak values of MR-based rCBV and static FET-uptake can also be observed intra-individually on a voxel basis and also applies to a dynamic FET parameter, possibly determining hotspots of higher biological malignancy. However, just a small part of the FET-PET signal variance is explained by rCBV and tumour volumes determined by the two modalities showed only moderate overlap. These findings indicate that FET-PET and MR-based rCBV provide both congruent and complimentary information on glioma biology.