Quantitative Perfusion and Permeability Biomarkers in Brain Cancer from Tomographic CT and MR Images.

Biomarkers in cancer Pub Date : 2016-07-03 eCollection Date: 2016-01-01 DOI:10.4137/BIC.S31801
Armin Eilaghi, Timothy Yeung, Christopher d'Esterre, Glenn Bauman, Slav Yartsev, Jay Easaw, Enrico Fainardi, Ting-Yim Lee, Richard Frayne
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引用次数: 8

Abstract

Dynamic contrast-enhanced perfusion and permeability imaging, using computed tomography and magnetic resonance systems, are important techniques for assessing the vascular supply and hemodynamics of healthy brain parenchyma and tumors. These techniques can measure blood flow, blood volume, and blood-brain barrier permeability surface area product and, thus, may provide information complementary to clinical and pathological assessments. These have been used as biomarkers to enhance the treatment planning process, to optimize treatment decision-making, and to enable monitoring of the treatment noninvasively. In this review, the principles of magnetic resonance and computed tomography dynamic contrast-enhanced perfusion and permeability imaging are described (with an emphasis on their commonalities), and the potential values of these techniques for differentiating high-grade gliomas from other brain lesions, distinguishing true progression from posttreatment effects, and predicting survival after radiotherapy, chemotherapy, and antiangiogenic treatments are presented.

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从断层CT和MR图像中定量的脑癌灌注和渗透性生物标志物。
使用计算机断层扫描和磁共振系统的动态对比增强灌注和渗透性成像是评估健康脑实质和肿瘤血管供应和血流动力学的重要技术。这些技术可以测量血流量、血容量和血脑屏障渗透性表面积积,因此可以为临床和病理评估提供补充信息。这些已被用作生物标志物,以加强治疗计划过程,优化治疗决策,并使治疗监测无创。在这篇综述中,描述了磁共振和计算机断层动态对比增强灌注和渗透性成像的原理(重点是它们的共性),并介绍了这些技术在区分高级别胶质瘤和其他脑病变、区分真正的进展和治疗后的影响、预测放疗、化疗和抗血管生成治疗后的生存方面的潜在价值。
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