Differentiation between glioblastoma and solitary brain metastasis using neurite orientation dispersion and density imaging
Differentiation between glioblastoma and solitary brain metastasis using neurite orientation dispersion and density imaging
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DOI：
10.1016/j.neurad.2018.10.005
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发表时间：
2020-05-01
影响因子：
3.5
通讯作者：
Takeshima, Hideo
中科院分区：
文献类型：
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作者：
Kadota, Yoshihito;Hirai, Toshinori;Takeshima, Hideo
背景和目的。- 神经突取向弥散和密度成像（NODDI）是一种应用三扩散室生物物理模型的新技术。我们评估了NODDI在胶质母细胞瘤与孤立性脑转移瘤鉴别诊断中的作用。- NODDI数据是在3 T磁共振成像（MRI）扫描仪上前瞻性获得的，来自既往未经治疗、经组织病理学证实的胶质母细胞瘤（n = 9）或孤立性脑转移瘤（n = 6）患者。使用NODDI Matlab工具箱，我们生成了细胞内、细胞外和各向同性体积（维克、VEC、VISO）分数的图。表观扩散系数和分数各向异性地图创建的扩散数据。在每张图上，我们手动绘制了一个围绕肿瘤周围信号变化（PSC）的感兴趣区域-以及病变的增强实性区域。评估胶质母细胞瘤和转移性病变之间的差异，并确定受试者工作特征曲线下面积（AUC）。- 在VEC图上，胶质母细胞瘤的PSC面积平均值显著高于转移瘤（P < 0.05）;在VISO图上，转移瘤的PSC面积平均值往往高于胶质母细胞瘤。在其他地图上没有显著差异。在5个参数中，PSC区域的VEC分数显示出最高的诊断性能。VEC阈值> 0.48产生100%的灵敏度、83.3%的特异性和0.87的AUC用于区分两种肿瘤类型。- PSC区域的NODDI分区图可能有助于区分胶质母细胞瘤和孤立性脑转移瘤。(C)2018年秋季。由Elsevier Masson SAS出版。
Background and purpose. - Neurite orientation dispersion and density imaging (NODDI) is a new technique that applies a three-diffusion-compartment biophysical model. We assessed the usefulness of NODDI for the differentiation of glioblastoma from solitary brain metastasis.Methods. - NODDI data were prospectively obtained on a 3T magnetic resonance imaging (MRI) scanner from patients with previously untreated, histopathologically confirmed glioblastoma (n = 9) or solitary brain metastasis (n = 6). Using the NODDI Matlab Toolbox, we generated maps of the intra-cellular, extracellular, and isotropic volume (VIC, VEC, VISO) fraction. Apparent diffusion coefficient - and fraction anisotropy maps were created from the diffusion data. On each map we manually drew a region of interest around the peritumoral signal-change (PSC) - and the enhancing solid area of the lesion. Differences between glioblastoma and metastatic lesions were assessed and the area under the receiver operating characteristic curve (AUC) was determined.Results. - On VEC maps the mean value of the PSC area was significantly higher for glioblastoma than metastasis (P < 0.05); on VISO maps it tended to be higher for metastasis than glioblastoma. There was no significant difference on the other maps. Among the 5 parameters, the VEC fraction in the PSC area showed the highest diagnostic performance. The VEC threshold value of > 0.48 yielded 100% sensitivity, 83.3% specificity, and an AUC of 0.87 for differentiating between the two tumor types.Conclusions. - NODDI compartment maps of the PSC area may help to differentiate between glioblastoma and solitary brain metastasis. (C) 2018 Les Auteurs. Publie par Elsevier Masson SAS.