Villous Tree Model with Active Contractions for Estimating Blood Flow Conditions in the Human Placenta.

Q3 Medicine
Open Biomedical Engineering Journal Pub Date : 2017-04-14 eCollection Date: 2017-01-01 DOI:10.2174/1874120701711010036
Yoko Kato, Michelle L Oyen, Graham J Burton
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引用次数: 8

Abstract

Background: In the human placenta, maternal and fetal bloods exchange substances through the surface of the villous trees: the fetal blood circulates in the villous trees, around which the maternal blood circulates. The blood flows directly influence fetal growth. Stem villi, the main supports of the villous tree, have contractile cells along the axes, whose contractions are expected to influence the blood circulations in the placenta. The displacement is neither measurable nor predictable while non-invasive measurements such as umbilical Doppler waveforms are helpful to predict the histological changes of the villous trees and vascularization in the placenta.

Objective: The displacement caused by the contraction of the villous tree is necessary to predict the blood flows in the placenta. Hence, a computational villous tree model, which actively contracts, was developed in this study.

Method: The villous tree model was based on the previous reports: shear moduli of the human placenta; branching patterns in the stem villi. The displacement pattern in the placenta was estimated by the computational model when the shear elastic moduli were changed.

Results: The results show that the displacement caused by the contraction was influenced by the shear elastic moduli, but kept useful for the blood flows in the placenta. The characteristics agreed with the robustness of the blood flows in the placenta.

Conclusion: The villous tree model, which actively contracts, was developed in this study. The combination of this computational model and non-invasive measurements will be useful to evaluate the condition of the placenta.

Abstract Image

Abstract Image

Abstract Image

具有主动收缩的绒毛树模型用于估计人胎盘的血流状况。
背景:在人胎盘中,母胎血液通过绒毛树表面交换物质:胎儿血液在绒毛树中循环,母体血液围绕绒毛树循环。血流量直接影响胎儿的生长。干绒毛是绒毛树的主要支撑,其轴上有可收缩的细胞,其收缩有望影响胎盘的血液循环。这种位移既无法测量也无法预测,而非侵入性测量,如脐带多普勒波形,有助于预测胎盘绒毛树的组织学变化和血管形成。目的:利用绒毛树收缩引起的位移预测胎盘血流是必要的。因此,本研究建立了一种主动收缩的计算绒毛树模型。方法:在前人报道的基础上建立绒毛树模型:人胎盘剪切模量;茎绒毛的分支模式。利用计算模型估计了剪切弹性模量变化时胎盘内部的位移模式。结果:胎盘收缩引起的位移受剪切弹性模量的影响,但对胎盘血流保持有益。这些特征与胎盘血流的稳健性一致。结论:本研究建立了主动收缩的绒毛树模型。该计算模型与非侵入性测量的结合将有助于评估胎盘的状况。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Open Biomedical Engineering Journal
Open Biomedical Engineering Journal Medicine-Medicine (miscellaneous)
CiteScore
1.60
自引率
0.00%
发文量
4
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