Müller Lucas O, Watanabe Sansuke M, Toro Eleuterio F, Feijóo Raúl A, Blanco Pablo J
Department of Mathematics, University of Trento, Trento, Italy.
Federal University of Agreste de Pernambuco, UFAPE, Garanhuns, Brazil.
Front Physiol. 2023 Jun 26;14:1162391. doi: 10.3389/fphys.2023.1162391. eCollection 2023.
In recent years, several works have addressed the problem of modeling blood flow phenomena in veins, as a response to increasing interest in modeling pathological conditions occurring in the venous network and their connection with the rest of the circulatory system. In this context, one-dimensional models have proven to be extremely efficient in delivering predictions in agreement with observations. Pursuing the increase of anatomical accuracy and its connection to physiological principles in haemodynamics simulations, the main aim of this work is to describe a novel closed-loop Anatomically-Detailed Arterial-Venous Network (ADAVN) model. An extremely refined description of the arterial network consisting of 2,185 arterial vessels is coupled to a novel venous network featuring high level of anatomical detail in cerebral and coronary vascular territories. The entire venous network comprises 189 venous vessels, 79 of which drain the brain and 14 are coronary veins. Fundamental physiological mechanisms accounting for the interaction of brain blood flow with the cerebro-spinal fluid and of the coronary circulation with the cardiac mechanics are considered. Several issues related to the coupling of arterial and venous vessels at the microcirculation level are discussed in detail. Numerical simulations are compared to patient records published in the literature to show the descriptive capabilities of the model. Furthermore, a local sensitivity analysis is performed, evidencing the high impact of the venous circulation on main cardiovascular variables.
近年来,随着人们对静脉网络中出现的病理状况建模及其与循环系统其他部分的联系越来越感兴趣,有几项研究致力于解决静脉内血流现象的建模问题。在这种背景下,一维模型已被证明在提供与观测结果一致的预测方面极其有效。为了在血液动力学模拟中提高解剖学准确性及其与生理原理的联系,这项工作的主要目的是描述一种新型的闭环解剖详细动静脉网络(ADAVN)模型。由2185条动脉血管组成的动脉网络的极其精细的描述与一个新型静脉网络相结合,该静脉网络在脑和冠状动脉区域具有高水平的解剖细节。整个静脉网络由189条静脉血管组成,其中79条引流大脑,14条是冠状静脉。考虑了脑血流与脑脊液相互作用以及冠状动脉循环与心脏力学相互作用的基本生理机制。详细讨论了微循环水平上动脉和静脉血管耦合的几个问题。将数值模拟结果与文献中发表的患者记录进行比较,以展示该模型的描述能力。此外,进行了局部敏感性分析,证明了静脉循环对主要心血管变量的高度影响。