使用MRI估计微血管毛细血管物理参数，假设伪液滴作为细胞水平上液体交换的模型。
Estimation of microvascular capillary physical parameters using MRI assuming a pseudo liquid drop as model of fluid exchange on the cellular level.
作者信息
Ashoor Mansour, Khorshidi Abdollah, Sarkhosh Leila
机构信息
Nuclear Science & Technology Research Institute, P.O. Box: 113653486, Tehran, Iran.
Cellular and Molecular Research Center, Gerash University of Medical Sciences, P.O. Box: 7441758666, Gerash, Iran.
出版信息
Rep Pract Oncol Radiother. 2019 Jan-Feb;24(1):3-11. doi: 10.1016/j.rpor.2018.09.007. Epub 2018 Oct 10.
AIM
One of the most important microvasculatures' geometrical variables is number of pores per capillary length that can be evaluated using MRI. The transportation of blood from inner to outer parts of the capillary is studied by the pores and the relationship among capillary wall thickness, size and the number of pores is examined.
BACKGROUND
Characterization of capillary space may obtain much valuable information on the performance of tissues as well as the angiogenesis.
METHODS
To estimate the number of pores, a new pseudo-liquid drop model along with appropriate quantitative physiological purposes has been investigated toward indicating a package of data on the capillary space. This model has utilized the MRI perfusion, diffusion and relaxivity parameters such as cerebral blood volume (CBV), apparent diffusion coefficient (ADC), Δ and values. To verify the model, a special protocol was designed and tested on various regions of eight male Wistar rats.
RESULTS
The maximum number of pores per capillary length in the various conditions such as recovery, core, normal-recovery, and normal-core were found to be 183 ± 146, 176 ± 160, 275 ± 166, and 283 ± 143, respectively. This ratio in the normal regions was more than that of the damaged ones. The number of pores increased with increasing mean radius of the capillary and decreasing the thickness of the wall in the capillary space.
CONCLUSION
Determination of the number of capillary pore may most likely help to evaluate angiogenesis in the tissues and treatment planning of abnormal ones.
目的
微血管最重要的几何变量之一是每毛细血管长度的孔隙数量，可通过磁共振成像（MRI）进行评估。研究了血液通过孔隙在毛细血管内部与外部之间的运输情况，并考察了毛细血管壁厚度、尺寸与孔隙数量之间的关系。
背景
毛细血管空间的特征描述可能会获得有关组织性能以及血管生成的许多有价值的信息。
方法
为了估计孔隙数量，研究了一种新的伪液滴模型以及适当的定量生理学指标，以显示一组关于毛细血管空间的数据。该模型利用了MRI灌注、扩散和弛豫参数，如脑血容量（CBV）、表观扩散系数（ADC）、Δ以及值。为了验证该模型，设计了一个特殊方案并在八只雄性Wistar大鼠的不同区域进行了测试。
结果
在恢复、核心、正常 - 恢复和正常 - 核心等不同条件下，每毛细血管长度的最大孔隙数量分别为183±146、176±160、275±166和283±143。正常区域的这一比例高于受损区域。在毛细血管空间中，孔隙数量随着毛细血管平均半径的增加和壁厚度的减小而增加。
结论
确定毛细血管孔隙数量很可能有助于评估组织中的血管生成以及异常组织的治疗方案制定。
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