首页> 外文期刊>NeuroImage >Fast bound pool fraction imaging of the in vivo rat brain: association with myelin content and validation in the C6 glioma model.
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Fast bound pool fraction imaging of the in vivo rat brain: association with myelin content and validation in the C6 glioma model.

机译:体内大鼠大脑的快速结合池分数成像:与髓磷脂含量和在C6胶质瘤模型中的验证相关。

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Cross-relaxation imaging (CRI) is a quantitative magnetic resonance technique that measures the kinetic parameters of magnetization transfer between protons bound to water and protons bound to macromolecules. In this study, in vivo, four-parameter CRI of normal rat brains (N=5) at 3.0 T was first directly compared to histology. The bound pool fraction, f, was strongly associated with myelin density (Pearson's r=0.99, p<0.001). The correlation persisted in separate analyses of gray matter (GM; r=0.89, p=0.046) and white matter (WM; r=0.97, p=0.029). Subsequently, a new time-efficient approach for solely capturing the whole-brain parametric map of f was proposed, validated with histology, and used to estimate myelin density. Since the described approach for the rapid acquisition of f applied constraints to other CRI parameters, a theoretical analysis of error was performed. Estimates of f in normal and pathologic tissue were expected to have <10% error. A comparison of values for f obtained from the traditional four-parameter fit of CRI data versus the proposed rapid acquisition of f was within this expected margin for in vivo rat brain gliomas (N=4; mean+/-SE; 3.9+/-0.2% vs. 4.0+/-0.2%, respectively). In both whole-brain f maps and myelin density maps, replacement of normal GM and WM by proliferating and invading tumor cells could be readily identified. The rapid, whole-brain acquisition of the bound pool fraction may provide a reliable method for detection of glioma invasion in both GM and WM during animal and human imaging.
机译:交叉松弛成像(CRI)是一种定量磁共振技术,可测量与水结合的质子与与大分子结合的质子之间磁化传递的动力学参数。在这项研究中,首先将体内正常大鼠大脑(N = 5)在3.0 T下的四参数CRI直接与组织学进行比较。结合池分数f与髓磷脂密度紧密相关(Pearson's r = 0.99,p <0.001)。在对灰质(GM; r = 0.89,p = 0.046)和白质(WM; r = 0.97,p = 0.029)的单独分析中,相关性仍然存在。随后,提出了一种仅捕获f的全脑参数图的省时新方法,并进行了组织学验证,并用于估计髓磷脂密度。由于所描述的快速获取f的方法将约束应用于其他CRI参数,因此进行了误差的理论分析。正常组织和病理组织中f的估计值预期有<10%的误差。从CRI数据的传统四参数拟合获得的f值与拟议的f快速获取值的比较在体内大鼠脑神经胶质瘤的预期范围内(N = 4;平均值+/- SE; 3.9 +/- 0.2 %分别为4.0 +/- 0.2%)。在全脑f图和髓磷脂密度图中,都可以很容易地确定通过增殖和侵袭肿瘤细胞来替代正常GM和WM。结合池部分的快速全脑采集可能为在动物和人类成像过程中检测GM和WM中胶质瘤侵袭提供可靠的方法。

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