Institut de Mécanique des Fluides de Toulouse, UMR CNRS/INPT/UPS 5502, Allée du Professeur Camille Soula, 31400 Toulouse Cedex, France.
J Theor Biol. 2010 Feb 21;262(4):614-33. doi: 10.1016/j.jtbi.2009.10.037. Epub 2009 Nov 12.
Considering their extremely complicated and hierarchical structure, a long standing question in vascular physio-pathology is how to characterize blood vessels patterns, including which parameters to use. Another question is how to define a pertinent taxonomy, with applications to normal development and to diagnosis and/or staging of diseases. To address these issues, fractal analysis has been applied by previous investigators to a large variety of healthy or pathologic vascular networks whose fractal dimensions have been sought. A review of the results obtained on healthy vascular networks first shows that no consensus has emerged about whether normal networks must be considered as fractals or not. Based on a review of previous theoretical work on vascular morphogenesis, we argue that these divergences are the signature of a two-step morphogenesis process, where vascular networks form via progressive penetration of arterial and venous quasi-fractal arborescences into a pre-existing homogeneous capillary mesh. Adopting this perspective, we study the multi-scale behavior of generic patterns (model structures constructed as the superposition of homogeneous meshes and quasi-fractal trees) and of healthy intracortical networks in order to determine the artifactual and true components of their multi-scale behavior. We demonstrate that, at least in the brain, healthy vascular structures are a superposition of two components: at low scale, a mesh-like capillary component which becomes homogeneous and space-filling over a cut-off length of order of its characteristic length; at larger scale, quasi-fractal branched (tree-like) structures. Such complex structures are consistent with all previous studies on the multi-scale behavior of vascular structures at different scales, resolving the apparent contradiction about their fractal nature. Consequences regarding the way fractal analysis of vascular networks should be conducted to provide meaningful results are presented. Finally, consequences for vascular morphogenesis or hemodynamics are discussed, as well as implications in case of pathological conditions, such as cancer.
考虑到它们极其复杂和分层的结构,血管生理病理学中长期存在的问题是如何描述血管模式,包括使用哪些参数。另一个问题是如何定义一个相关的分类法,应用于正常发育以及疾病的诊断和/或分期。为了解决这些问题,以前的研究人员已经将分形分析应用于大量健康或病理血管网络,寻求其分形维数。首先对健康血管网络的研究结果进行综述表明,对于正常网络是否必须被认为是分形的,尚未达成共识。基于对血管形态发生的先前理论工作的综述,我们认为这些分歧是两步形态发生过程的特征,其中血管网络通过动脉和静脉准分形分支的渐进渗透形成,进入预先存在的均质毛细血管网。采用这种观点,我们研究了通用模式(作为均匀网格和准分形树的叠加构造的模型结构)和健康皮质内网络的多尺度行为,以确定其多尺度行为的人为和真实成分。我们证明,至少在大脑中,健康的血管结构是两个成分的叠加:在小尺度上,是一种类似于网格的毛细血管成分,在其特征长度的量级上的截止长度处变得均匀且充满空间;在较大的尺度上,是准分形分支(树状)结构。这种复杂的结构与以前在不同尺度上对血管结构的多尺度行为的所有研究一致,解决了它们分形性质的明显矛盾。提出了有关进行血管网络分形分析以提供有意义结果的方法的结论。最后,讨论了血管形态发生或血液动力学的后果,以及在病理条件下(如癌症)的影响。