Spatial Habitat Features Derived from Multiparametric Magnetic Resonance Imaging Data Are Associated with Molecular Subtype and 12-Month Survival Status in Glioblastoma Multiforme.
Spatial Habitat Features Derived from Multiparametric Magnetic Resonance Imaging Data Are Associated with Molecular Subtype and 12-Month Survival Status in Glioblastoma Multiforme.
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DOI：
10.1371/journal.pone.0136557
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发表时间：
2015
期刊：
影响因子：
3.7
通讯作者：
Rao A
中科院分区：
文献类型：
--
作者：
Lee J;Narang S;Martinez J;Rao G;Rao A
多形性胶质母细胞瘤是最常见和侵袭性的恶性脑肿瘤之一。尽管采用了放疗和化疗（替莫唑胺：TMZ）等多模式治疗，但胶质母细胞瘤患者的中位生存期不足15个月。在这项研究中，我们研究了由多参数磁共振成像（MRI）数据的空间点模式分析得出的空间多样性测量与胶质母细胞瘤分子状态和12个月生存率之间的关系。通过多参数T1对比后和T2流体衰减反演恢复MRI数据的空间点模式分析，我们获得了27个空间接近度（多样性）。这些指标用于预测74例胶质母细胞瘤患者12个月的生存状态（≤12个月或≤12个月）。采用Kaplan-Meier和受试者操作特征分析来评估衍生空间特征与胶质母细胞瘤患者12个月生存状态以及分子亚型状态之间的关系。Kaplan-Meier生存分析显示，14个空间特征能够以统计学显著的方式对总生存进行分层。基于这些多样性指标预测12个月生存状态的敏感性和特异性分别为0.86和0.64。受试者工作特征曲线下面积为0.76，准确度为0.75。对于分子亚型状态的预测，基于受者工作特征分析，前膜亚型在所有分子亚型中准确率最高，为0.93。我们发现，从T1对比后和T2液体衰减反转恢复图像的强度栖息地的点模式分析中测量的空间多样性与肿瘤亚型状态和12个月生存状态相关，因此可能是患者预后的有用指标，此外还可能为多形性胶质母细胞瘤的分子靶向治疗提供潜在指导。
One of the most common and aggressive malignant brain tumors is Glioblastoma multiforme. Despite the multimodality treatment such as radiation therapy and chemotherapy (temozolomide: TMZ), the median survival rate of glioblastoma patient is less than 15 months. In this study, we investigated the association between measures of spatial diversity derived from spatial point pattern analysis of multiparametric magnetic resonance imaging (MRI) data with molecular status as well as 12-month survival in glioblastoma. We obtained 27 measures of spatial proximity (diversity) via spatial point pattern analysis of multiparametric T1 post-contrast and T2 fluid-attenuated inversion recovery MRI data. These measures were used to predict 12-month survival status (≤12 or >12 months) in 74 glioblastoma patients. Kaplan-Meier with receiver operating characteristic analyses was used to assess the relationship between derived spatial features and 12-month survival status as well as molecular subtype status in patients with glioblastoma. Kaplan-Meier survival analysis revealed that 14 spatial features were capable of stratifying overall survival in a statistically significant manner. For prediction of 12-month survival status based on these diversity indices, sensitivity and specificity were 0.86 and 0.64, respectively. The area under the receiver operating characteristic curve and the accuracy were 0.76 and 0.75, respectively. For prediction of molecular subtype status, proneural subtype shows highest accuracy of 0.93 among all molecular subtypes based on receiver operating characteristic analysis. We find that measures of spatial diversity from point pattern analysis of intensity habitats from T1 post-contrast and T2 fluid-attenuated inversion recovery images are associated with both tumor subtype status and 12-month survival status and may therefore be useful indicators of patient prognosis, in addition to providing potential guidance for molecularly-targeted therapies in Glioblastoma multiforme.