RESEARCH ARTICLE
Villous Tree Model with Active Contractions for Estimating Blood Flow Conditions in the Human Placenta
Yoko Kato^{1, *}, Michelle L. Oyen^{2}, Graham J. Burton^{3}
Article Information
Identifiers and Pagination:
Year: 2017Volume: 11
First Page: 36
Last Page: 48
Publisher Id: TOBEJ-11-36
DOI: 10.2174/1874120701711010036
Article History:
Received Date: 30/10/2016Revision Received Date: 12/01/2017
Acceptance Date: 17/02/2017
Electronic publication date: 14/04/2017
Collection year: 2017
open-access license: This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International Public License (CC-BY 4.0), a copy of which is available at: https://creativecommons.org/licenses/by/4.0/legalcode. This license permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
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.
INTRODUCTION
The human placenta has both maternal and fetal blood circulations, which exchange gases, nutrients and waste through the surface of the villous tree without mixture [1]: the maternal blood from the uterine arteries flows slowly into the intervillous space and returns to the uterine veins while the fetal blood from the umbilical arteries flows into arteries within the chorionic plate, circulates through blood vessels in the villous tree, and returns to the umbilical veins. The influence of the maternal and fetal blood flows on the transport of substances has been reported previously [2, 3].
The villous tree is composed of stem villi, intermediate villi, terminal villi and mesenchymal villi. Stem villi are the main support of the villous tree between the two bounding surfaces of the placenta. The stem villi have the contractile cells, which surround the arterial and venous vessels and run along the longitudinal axis of the branch [4-11]. The contraction of the stem villi has been observed in vitro [5, 12-14], which is expected to help the circulations of the maternal and fetal bloods. The maximum velocity of the contraction was much smaller than that of uterus, and the peak isometric tension was 1.39 kPa for electrical tetanus and 1.32 kPa for KCl exposure on average [14]. The contraction directly assists the fetal blood flow in the vessels of the stem villi because the contractile cells surround the vessels axially. However, the fetal blood in the capillary of the villous tree and the maternal blood in the intervillous space are not surrounded by the contractile cells directly, and similarity in the directions between the blood flow and the contractile cells has not been clear. In the meantime, the mechanical properties of the human placenta were evaluated by tensile, compression and shear [15]: The elastic moduli measured by shear were much smaller than those by tensile and compression. The shear stress was less than 1 kPa when the strain was 1 (strain velocity < 0.04 /s). Considering that the blood vessels were aligned with the direction of the force [15], the shear elastic moduli in the surroundings of the blood vessels would be much less than 1 kPa. Comparing the tension of the contractile cell with the shear elastic moduli, the displacement and its propagation in the placenta would occur although neither direct measurement nor prediction for the displacement is possible.
The conditions of the placenta, concerning the blood flow, are non-invasively observed by ultrasound and magnetic resonance (MR). The velocity of the blood flow in the umbilical artery is measured by ultrasound Doppler velocimetry and described as flow velocity waveforms (FVWs). The histological characteristics in the villous tree, including the distribution of the villous types and vascularization, can be estimated by FVW at end diastolic: positive, absent or reverse [16-18]. The oxygen environment, which is evaluated by oxygen-enhanced MRI and BOLD MRI [19], influenced the bifurcation pattern of the villous tree: hypoxia enhances the bifurcation [20, 21]. The magnitude of the perfusion in the placenta can be expressed as relative values by three-dimensional (3D) power Doppler [22] and contrast-enhanced MR images [23], but the direction is hardly measured.
In general, the normal mature placenta shows legions in some degree, such as infarctions, which can prevent the blood circulations in the placenta. 3D power Doppler indicated that the perfusion in the normal placenta was kept through the gestational ages, from 15 to 40 weeks [24]. In the meantime, the diameter, branching patterns and generation of the stem villi were previously reported [1, 25] so that a computational model of the villous tree with active contractions can be developed. If the displacement caused by the contraction is corresponding to the perfusion evaluated by 3D power Doppler or MRI, the direction of the blood flow can be estimated by changing the distribution of the shear elastic moduli as the pattern of the displacement in the placenta agrees with that of the perfusion. Assuming that the contraction force and shear elastic moduli of the region surrounding the stem villi are representative of the placental conditions, the results of the computation can be translated properly.
In this study, a computational model of the villous tree in the human placenta with active contractions was developed for estimating the blood flow condition. The shape of the stem villi was based on the previous reports [1, 25], and the surroundings of the stem villi were assumed as one continuum, where the displacement caused by the contraction propagated because the branching pattern of the villi around the stem villi, and the shape of the intervillous space, which is the space surrounded by the villi and the maternal blood passes through, are complicated. By using this model, it was examined whether or not the contraction could assist the fetal blood flow in the capillary and the maternal blood flow in the intervillous space. Moreover, the influence of the mechanical properties in the villous tree on the pattern of the displacement was also examined.
COMPUTATIONAL MODEL
Stem Villi
The stem villi are categorized into the three groups: truncus chorii, next to the chorionic plate; rami chorii, next to the truncus chorii; ramuli chorii, between the rami chorii and the basal plate [1, 25]. The diameter gradually becomes smaller from the chorionic plate to the basal plate, and branches are found in all the groups except the truncus chorii. The branching pattern of the ramuli chorii is not equally dichotomous. The generations of branches in the rami chorii and ramuli chorii are up to 4, and from 1 to 30, respectively. Table 1 shows the size and branching pattern in the stem villi model. In this model, the chorionic and basal plates, and the boundaries between the categories (truncus chorii, rami chorii and ramuli chorii) were parallel to each other. Firstly, how to use the centripetal and centrifugal orders at the branch to describe the branching pattern in Table 1 is explained. Figs. (1a and 1b) show a simple branching pattern designated by the centripetal order and centrifugal order: the tip and trunk are designated as 1 and maximum, respectively, at the centripetal order, and vice versa at the centrifugal order. The centripetal order is used to evaluate dichotomy [26, 27]. The bifurcation ratio, R_{b}, is defined as the following equation:
(1) |
where N_{u} is the number of branches at the centripetal order u. If R_{b} is 2, the branching is equally dichotomous. Assuming that R_{b} is constant, N_{u} is a geometrical series given as:
(2) |
where u_{max} is the maximum centripetal order. Hence,
(3) |
R_{b} of the branches was calculated by the method of least squares. Table 1 shows that R_{b} in the rami chorii was 2, but that in the ramuli chorii was not equal to 2. These values indicate that the branching patterns in the rami chorii and ramuli chorii are equally and unequally dichotomous, respectively. The centrifugal order at the tip, C_{f}, in Table (1), corresponds to the generation of the branches. While C_{f} in the rami chorii was constant, that in the ramuli chorii was varied. That is because the branches in the ramuli chorii were not symmetric.
The diameter range in each category was as follows: truncus chorii, 900 – 3000 μm; rami chorii, 300 – 1000 μm; ramuli chorii, 50 – 500 μm [25]. Table 1 shows that the diameter ranges agree with the aforementioned one. The change of the diameter at the truncus chorii was much larger than those at the rami chorii and ramuli chorii. For the smooth connection between the truncus chorii and rami chorii, the derivative of the radius with respect to the z coordinate should be zero at the boundary. Hence, the following equation was used to determine the radius of the branch at the truncus chorii:
(4) |
where r_{max} and r_{min} are the maximum and minimum radii in the truncus chorii, and z_{tr} is the boundary between the truncus chorii and rami chorii (z_{tr} = 2.9 mm). In the rami chorii, the radius was decreased as the distance along the axis was longer. The radius of the branch in the ramuli chorii became larger as the centripetal order increased. The radii of the branches at the connecting point were modulated as all the branches showed the same radius.
The branches in the rami chorii were equally dichotomous as well as symmetric, and 16 branches were connected to those in the ramuli chorii at the boundary. The branches in the ramuli chorii should be unequally dichotomous. For making unequally dichotomous branches, the 2D diffusion-limited aggregation (DLA) models [28] were made by the free-software, dla-nd, which was developed by the Dr. Mark J. Stock (http://markjstock.org/dla-nd/). Because the path between the branching points was not smooth in this model, the line between the branching points was set as an axis of a branch.
Fig. (2). Contraction directions at the branches of the rami chorii. Arrows show the directions of the contractions. Each branch in the stem villi contracts along its axis and toward the junction. |
As Table (1) shows, the longest distance from the chorionic plate in the model was 24.5 mm. According to the previous reports, the thickness of the human placenta and chorioamniotic membrane, the surface of the placenta, were 25 mm [1] and 243 μm [29] on average, respectively. It is calculated that the distance between the chorionic and basal plates is 24.8 mm. The longest distance from the chorionic plate in the model was close to the calculated distance between the chorionic and basal plates, based on the previous reports [1, 29]. In the meantime, the cross section of the model, parallel to the chorionic plate, had the bounding rectangle, whose size was 23.8 mm × 22.6 mm (width × height). The previous report [1] indicated that the placenta at term, whose diameter was 220 mm, had 60 – 70 villous stems. The area based on this diameter is 3.80 × 10^{4} mm^{2} so that the average cross section of the villous trees is 5.42 × 10^{2} - 6.33 × 10^{2} mm^{2}, whose corresponding diameter is 26 – 28 mm. The size of the cross section in the model was close to that based on the previous report [1]. Figs. (1c-1e) show the villous tree model developed in this research. The size was 34.8 × 34.8 × 24.5 [mm] (1200 × 1200 × 847 [pixels], 29 μm/pixel).The Cartesian coordinate system, whose z axis was perpendicular to the chorionic plate, was used to describe the position in the model. Its origin was also on the chorionic plate.
Contraction Direction
The contractile cells run along the longitudinal axis of the branch [4-11]. Each point at the boundary surface between the stem villi and the surroundings has two tangential directions as Fig. (2) shows. The tangential direction, closer to the axis of the branch than the other, was decided as the contraction direction.
At the truncus chorii, the axis of the branch was parallel to the z axis and its radius was largely changed as Equation (4) shows. The angle between the z axis and tangential direction (φ_{o}) and the differentiation of Equation (4) by z are as follows:
(5) |
(6) |
Considering that the direction of the contraction at the axis of the branch was (0, 0, -1),
(7) |
When the angle between the point at the surface and the x axis in the xy plane is θ_{o}, the tangential direction is (sinφ_{o}cosθ_{o}, sinφ_{o}sinθ_{o}, cosφ_{o}). Comparing the rami chorii with the truncus chorii at Table (1), the diameter change at the rami chorii was 25% of that at the truncus chorii. In addition, the rami chorii showed the range of the z coordinate, which was about 3.7 times larger than that at the truncus chorii. The change of the diameter at the rami chorii was much smaller than that at the truncus chorii. Hence, the tangential direction at the surface was parallel to the axis of the branch at the rami chorii. Because the change of the diameter was also small at the ramuli chorii, the tangential direction was determined in the same way.
Displacement
As Figs. (1c-1e) show, assuming that the surroundings of the stem villi were one continuum in this model, the propagation of the displacement in the placenta was evaluated by the model. A wave equation is generally described as below:
(8) |
where u is displacement vector, ρ is density, λ_{l} and μ are Lamé’s constant. μ also shows a shear elastic modulus. Generally, biological tissue is incompressible, so that the second term in Equation (8) is zero. Hence,
(9) |
Hence, the shear wave (transverse wave), whose propagation is normal to the vibration and carried out in solid, was evaluated in this computation. The displacement caused by the shear wave is described as follows [30]:
(10) |
where ξ_{o} is the amplitude, k is the wave number (k = 2π/λ, λ is wave length), r is the distance from the surface of the stem villi, t is time, and ω is angular frequency. ξ_{o} was 0.1 μm in all the computational conditions. The shear elastic modulus, μ, is described as follows [31]:
(11) |
Considering that k = 2π/λ and ω=2πν (ν, frequency),
(12) |
ρ was 1.0 × 10^{3} kg/m^{3} because of biological tissues [32]. ν was 1.0 Hz, and λ was 0.29, 0.58 or 1.45 mm (10, 20 or 50 pixels) in the computation so that the shear moduli were 8.41 × 10^{-5}, 3.36 × 10^{-4} and 2.10 × 10^{-3} Pa. The displacement is attenuated by viscoelastic properties so that the maximum distance for the propagation was 1.45, 2.9 and 4.35 mm (50, 100 and 150 pixels). In order to simplify the problem, t was set for zero. That is, the computation did not consider the time effect on the displacement. The maximum distance for the propagation was not dependent on the position. λ was kept constant in the surroundings, or became longer as the distance from the surface of the stem villi was longer. In the latter case, λ was increased from 0.29 mm to 1.45 mm every one-third of the maximum distance from the surface. Hence, there were 12 conditions in this computation.
RESULTS
Characteristic Positions and Visualization
The displacement of the surroundings of the stem villi is described by the polar coordinate system (magnitude, φ (0° ≤ φ ≤ 180°) and θ (-180° ≤ θ < 180°)) because the coordinate system was useful to separate the displacement into its magnitude and direction. Fig. (3) shows the results when λ and the maximum distance for the propagation were 1.45 mm and 4.35 mm, respectively. Fig. (3a) shows that the displaced area was gradually increased as the z coordinate became larger. The long and steep slope was observed from the truncus chorii to the rami chorii. The same features were observed in all the computational conditions. Figs. (3b, 3c and 3d) show the mean and standard deviation (SD) of each parameter: magnitude, φ and θ. The mean and SD were calculated for all the points in the displaced area, whose magnitude was more than zero. When the displacement is perpendicular to the chorionic plate, the value of θ cannot be determined. Hence, such a critical point was not included for the calculation of the mean and SD in θ. Fig. (3b) shows that the SD normalized by the mean was calculated in order to evaluate the magnitude range of the displacement in each z coordinate. The peak of the normalized SD was observed around the boundary between the truncus chorii and rami chorii, which is named as z_{d}. The mean and SD about the direction of the displacement in each z coordinate are shown in Figs. (4c and 4d). As Fig. (4c) shows, the mean of φ was kept around 90 degrees, but the SD of φ indicated two peaks, whose positions are named as z_{φ1} and z_{φ2}, respectively. Fig. (3d) shows that the mean of θ slightly decreased around the boundary between the rami chorii and ramuli chorii, which is named as z_{θ}, while the SD of θ was kept around 90°. These characteristic z coordinates, z_{d}, z_{φ1}, z_{φ2}, and z_{θ}, were observed at all the computations. Fig. (4) shows the images which visualizes the magnitude, φ, and θ in each characteristic z coordinate and the middle z coordinates of the truncus chorii (z_{t}), rami chorii (z_{r}), and ramuli chorii (z_{rl}) under the same computational condition as Fig. (3) shows. The displaced area became larger as the z coordinate was increased. The magnitude of the displacement was almost kept constant at every z coordinate although the magnitude in the limited area at z_{d} was high. The distributions of φ and θ were largely changed along the z coordinate as shown in Figs. (3c and 3d) The visualization of the displacement and direction like Fig. (4) is useful to find out critical points and important points for analysis.
Magnitude of the Displacement
As Fig. (4) shows, the magnitude of the displacement was kept almost constant except the magnitude was high near the stem villi at z_{d}. 90% of the displaced area showed that the magnitude relative to the maximum one was less than 0.17 for the maximum distance for the propagation = 1.45 mm and λ increasing as the distance from the surface of the stem villi, and 0.06 for other results. The SD normalized by the mean was large at z_{d}, but the high magnitude was in the limited area. Hence, the maternal and fetal blood circulations in the villous tree and intervillous space would be influenced by the constant distribution of the displacement in the placenta. Because the shape of the stem villi directly influences the displacement pattern, the model whose shape near the high magnitude is changed will be developed and used for the computation to examine whether or not such a high magnitude is inevitable.
Direction of the Displacement (φ and θ)
Figs. (5a-5e) show the distribution of φ at the characteristic z coordinates (z_{φ1}, z_{φ2}) and the middle z coordinate in each category (z_{t}, z_{r}, z_{rl}) for the same condition as shown in Fig. (3). The area fraction, which is the area for each φ normalized by all the displaced area, was used to evaluate the distribution of φ. The area fraction around φ = 90° (φ = 45° - 135°) was largest at z_{φ1} (Fig. 5b) and smallest at z_{φ2} (Fig. 5d). The same characteristics were observed in all the computations. For all the computational conditions, the mean and SD of the area fraction at φ = 45° - 135° were calculated at each z coordinate. As the average values in Fig. (5f) show, more than 90% of the displaced area showed φ from 45° to 135° at z_{φ1}. The area with the same range of φ was around 10% at z_{φ2}. Considering that the φ = 90° means the direction parallel to the xy plane, most of the displacement was parallel to the xy plane at z_{φ1}, and parallel to the z axis at z_{φ2}. Fig. (5f) shows that the mean of the area fraction at the other positions was around 0.3. Hence, φ did not have a preferred direction there. The displacement could help the maternal blood to go to the chorionic plate at z_{φ2}, spread parallel to the chorionic plate and the basal plate at z_{φ1}, and go toward the basal plate at z_{φ2}. In the meantime, the branches in the stem villi around z_{φ1} and z_{φ2} had the axes largely different from the directions of the displacement there: the axis of the branch in the truncus chorii is perpendicular to the chorionic plate, and that in the rami chorii was largely changed because of its curvature. The displacements at z_{φ1} and z_{φ2} could assist the fetal blood to pass through the vessels in the stem villi. Moreover, the maternal and fetal bloods could be homogenized by the displacement at z_{t}, z_{r} and z_{rl}. The SD was largest at z_{t}, and smallest at z_{φ1}. The SD at z_{rl} was larger than that at z_{φ1}, but much smaller than those at the other characteristic positions. Considering that λ and the maximum distance for the propagation are corresponding to the mechanical properties of the surroundings of the stem villi, φ at z_{φ1} and z_{rl} would be hardly influenced by the mechanical property of the surroundings, but φ at the truncus chorii would be vulnerable to it.
Figs. (6a-6d) show the distribution of θ at the characteristic z coordinates (z_{θ}) and the middle z coordinate in each category (z_{t}, z_{r}, z_{rl}) for the same condition as Fig. (3) shows. The area fraction, the area for each θ normalized by all the displaced area, was used for describing the distribution. Figs. (6a and 6b) show that the similar distribution pattern was observed every 90° at z_{t} and z_{r}. The result agreed with the mean of θ at z_{t} and z_{r}, around zero. Fig. (6c) shows the distribution of θ at z_{θ}, where the area fraction at θ = -180° - 90° (the third quadrant) and θ = 0° - 90° (the first quadrant) was larger than that at θ = -90° - 0° (the fourth quadrant) and θ = 90° - 180° (the second quadrant). This result agreed with the decrease of the mean at z_{θ} in Fig. (3d). As Table (1) shows, the branches in the ramuli chorii were unequally dichotomous as well as asymmetric while those in the rami chorii were equally dichotomous as well as symmetric. Because the rami chorii had 16 branches connecting to those in the ramuli chorii, 16 types of the branching pattern were used in the ramuli chorii. z_{θ} was located around the boundary between the rami chorii and ramuli chorii. The branches of the ramuli chorii at z_{θ} were almost parallel to the z axis in the second and fourth quadrant, but those in the first and third quadrants were not. The angle of the branch at z_{θ} would cause the characteristic distribution of θ at z_{θ}. The similar distribution pattern was observed at z_{rl}, but each peak was much smaller than that at z_{θ} as Fig. (6d) shows. Because z_{rl} was placed on the middle of the ramuli chorii, the feature caused at z_{θ} would be weakened by the branches which showed various angles. All the computational results showed the same characteristics as Figs. (6a-6d) show. The SD of the area fraction in each interval (each value of θ) (SD_{in}) was calculated in order to evaluate the uniformity of the distribution in θ for all the computations. Fig. (6e) shows that the average value of SD_{in} at z_{θ} was largest and that at z_{rl} was smallest, among all the positions. The distribution of θ was most uniform at z_{rl}, and most fluctuated at z_{θ} in all the positions. The distribution of θ at z_{θ} would be influenced by the angle of the branches in the ramuli chorii. Because θ at z_{rl} did not have a preferred value, the maternal and fetal bloods could be homogenized. The SD values of SD_{in} at z_{t} and z_{θ} was much larger than those of other two positions, and that at z_{rl} was smallest in all the positions. The results show that the mechanical properties of the villus tree would strongly influence θ at z_{t} and z_{θ}, but hardly influence that at z_{rl}. Even if the mechanical properties of the villous tree are changed, the homogenization of the bloods around the ramuli chorii would be kept.
Parameter | Truncus chorii | Rami chorii | Ramuli chorii | ||
---|---|---|---|---|---|
Branch | d [mm] | 1 - 3 | 0.5 - 1 | 0.3 - 0.5 | |
z [mm] | 0 - 2.9 | 2.9 - 13.5 | 13.5 - 24.5 | ||
Axis | L_{c} [mm] | 0 (z = 2.9) | 8.99 (z = 13.5) | - | |
L_{b}[mm] | - | 0 (z =2.9) | * | ||
0.29 (z = 3.9) | |||||
1.74 (z = 4.7) | |||||
4.64 (z = 5.8) | |||||
r [mm] | - | (L_{b}< 1.74) 1.74 | - | ||
(L_{b}≥1.74) 8.99 | |||||
R_{b} | - | 2 | 2.22 - 6.02 | ||
C_{f} | - | 4 | 4 - 20 |
DISCUSSION
In this study, the computational villous tree model was developed, and used to evaluate the displacement in the human placenta caused by the contraction of the stem villi. The magnitude of the displacement was almost homogeneous, and the direction was useful for the fetal and maternal blood circulations. This tendency was maintained even if the mechanical properties of the placenta were changed. The experimental results such as MRI and 3D power Doppler angiography are described by scalar values so that the magnitude of the displacement could be directly compared with them. The resolution in the computation of this model was much higher than that in MRI or 3D power Doppler. Hence, representative values such as mean and SD will be necessary if the comparison between the experimental data and the computational result is carried out.
In the computation, every point in the stem villi contracted at the same time. Hence, the result in this study indicated that the displacement caused by the contraction would be helpful for the blood circulations when each contractile cell in the stem villi contracts at the same time. How to control the timing of the contraction for the effective blood circulation in the placenta can be investigated by this villous tree model. This investigation will be carried out in the future. The effect of the displacement on the maternal and fetal blood flows would be influenced by the directions of these blood flows. A computational model and method are necessary to investigate this effect. Developing them, with considering the usage of FWVs, will be the important topic to evaluate the blood circulation in the placenta.
CONCLUSION
In this study, the computational model of the villous tree with active contractions was developed. The results based on this model show that the contraction could assist the maternal and fetal blood circulations in the placenta, and its effect would maintain even if the mechanical circumstances are changed. The combination between this computational model and non-invasive measurements will be useful to evaluate the condition of the placenta.
CONFLICT OF INTEREST
The author confirms that this article content has no conflict of interest.
ACKNOWLEDGEMENTS
Declared none.