Cao Yue, Shen Zhen, Chenevert Thomas L, Ewing James R
Department of Radiation Oncology, University of Michigan, Ann Arbor, Michigan 48109-0010, USA.
J Magn Reson Imaging. 2006 Aug;24(2):288-96. doi: 10.1002/jmri.20634.
To develop a numerical approach for estimation of vascular permeability from dynamic T2*-weighted imaging, a technique routinely used to measure cerebral blood volume (CBV) and flow in gliomas.
This study describes a process for estimating both the gadolinium diethylenetriamine pentaacetic acid (Gd-DTPA) transvascular transfer constant and CBV from dynamic T2*-weighted images. The algorithm was applied to data from the brains of 12 patients with grade IV gliomas. The stability of the method was assessed. Estimates of CBV by this technique were compared to those of the conventional method.
The algorithm was found to be insensitive to noise and to generate stable voxel-by-voxel estimates of permeability and CBV.
Using a single imaging acquisition, the three most important vascular properties, CBV, cerebral blood flow (CBF), and permeability, can be estimated. This approach may have potential in clinical evaluation of patients with brain tumor or acute ischemic stroke.
开发一种从动态T2*加权成像估计血管通透性的数值方法，该技术常用于测量胶质瘤中的脑血容量（CBV）和血流。
本研究描述了一种从动态T2*加权图像估计钆二乙三胺五乙酸（Gd-DTPA）跨血管转移常数和CBV的过程。该算法应用于12例IV级胶质瘤患者脑部的数据。评估了该方法的稳定性。将该技术对CBV的估计与传统方法的估计进行了比较。
发现该算法对噪声不敏感，并能逐体素生成稳定的通透性和CBV估计值。
通过单次成像采集，可以估计三个最重要的血管特性，即CBV、脑血流量（CBF）和通透性。这种方法可能在脑肿瘤或急性缺血性中风患者的临床评估中具有潜力。
