Bailiang Chen1,2,3, Jie Duan2,3,4, Jacques Felblinger1,2,3,5, Olivier Morel2,3,4, and Marine Beaumont 1,3,5
1CHRU Nancy, CIC-IT 1433, Inserm, Vandoeuvre-lès-Nancy, France, 2Imagerie Adaptative Diagnostique et Interventionnelle, Université de Lorraine, Nancy, France, 3U947, Inserm, Nancy, France, 4Service d’obstétrique et médecine fœtale, Pôle de Gynécologie-Obstétrique, CHRU Nancy, Nancy, France, 5Pôle S2R, CHRU Nancy, Nancy, France
Synopsis
Abnormal uteroplacental vascurlarization can cause major obstetric complications such as intra-uterine growth restriction or abnormally invasive placenta. Clinical 3D ultrasound imaging cannot discriminate maternal
and fetal flow in utero-placental unit, thus blocking a better understanding of the pathology. Conventional ex-vivo vascularization quantification relies on 2D
histological slices using samples dissected from placenta. Micro-CT was applied to fixed small animal placenta but with complicated and long
preparation. Here we presented the flexibility of a comprehensive 3D
vascularization characterization of a fresh healthy human placenta using
ex-vivo MRA. A quantification framework is proposed with defined systematic metrics to characterize the vascularization.Introduction
A normal placenta
development is crucial for a successful pregnancy. Placental function depends
on its vasculature pattern such as capillary structure, spatial arrangement,
blood flow rate and capillary numbers. Abnormal uteroplacental vascurlarization can cause major obstetric complications such as intra-uterine growth restriction (IUGR) or abnormally invasive placenta (AIP). Diagnosis accuracy of AIP is subjective depending on trainings and experiences of operators. Clinically, 3D ultrasound and Doppler imaging are
used to understand utero-placental morphology and flow dynamics. However,
maternal and fetal flow in utero-placental unit cannot be discriminated,
blocking a better understanding of the pathology to be achieved [1]. A
comprehensive and quantitative three-dimensional understanding of the
vascularization is still lacking even ex-vivo. Conventional ex-vivo
quantification and 3D description of placental vascularization relies on series
of 2D histological slices with samples dissected from the placenta. Micro-CT
can be applied on small animal placenta fixed in formalin phosphate [2], but with a long and complicated preparation procedure. Magnetic resonance angiography (MRA) may be
used to complement such concerns. In this work, we presented the flexibility of
placenta vascularization quantification on a fresh healthy human placenta using
ex-vivo MRA. A quantification framework is presented with a set of systematic metrics
defined to characterize the vascularization.
MATERIAL & METHODS
Material
and MR imaging (Fig. 1): A
fresh human placenta, from a normal pregnancy, was obtained immediately after delivery.
It was catheterized from the top umbilical vessels. The placenta sample was
cleaned with the residual blood completely washed out. Pump oil (Vacuubrand®)
was chosen as a contrast agent in order to provide optimal contrast with
minimal extravascular diffusion. The perfusion liquid quantity/placental volume
ratio was approximately 1:1. The MRA scan was performed on a 3T clinical
scanner (GE) using a 3D FGRE sequence. The
relevant imaging parameters are: field of view 20 cm, NEX 10, acquisition matrix
440×440×116, in-plane resolution 0.5mm, slice thickness 0.6 mm, TR/TE 9.44/2.38
ms. The overall acquisition time is 80 min. The work is approved by the local
ethic committee.
Data
analysis (Fig. 1): The
dataset intensity was first enhanced in order to highlight the arteries. The
vessel network was then segmented by an adaptive thresholding method. The voxel
3D skeleton was extracted using a 3D medial axial thinning algorithm [3]. This
skeleton was then converted into a network topology described by nodes and connections
[4] to understand its branching pattern. Morphological metrics (defined as
below) were then calculated based on the extracted topology. All the processing
and computation were performed using a home-made software implemented in
MATLAB.
Vascularization
metrics: morphological
indices in clinical ultrasound exams are applied here. We also borrowed
quantitative metrics used in tissue engineering to evaluate the tissue
engineered micro-vascularization [5] to describe the growth of the
vascularization network. Vascularization volume is the volumetric sum of all
the detected MRA enhanced vessels; average diameter is defined as the average of all the detected vessels ; 3D vessel length is defined as the total curvilinear
length of the vessel tree skeleton; average tortuosity is defined as the
average of the ratio of curvilinear distance and Euclidean distance between the
starting and the end of a vessel path [2] (Fig. 2b).
RESULTS
The acquired data volume is almost isotropic. The
placenta artery network can be clearly visualized (Fig. 2). A 3D model of the
vessel tree architecture is rendered in Fig. 2a. The model is color-coded according to the vessel diameter. The network topology is represented as 3D skeleton and plotted in red (Fig.2b). The overall volume of the
vascularization is 46.5 ml. The mean diameter of the vessel is: 0.75mm (minimum 0.30 mm, maximum 6.44 mm). The average tortuosity
of each vessel path is 1.96.
The 3D skeleton length is 3.5×10
3 mm.
DISCUSSION
We proposed a framework to quantify the
vascularization of placenta on an ex-vivo
MRA dataset of fresh human placenta perfused by pump oil. A set of
comprehensive description of the vascularization is also proposed. The minimum diameter that the current protocol can detect is 0.3 mm, which is around the protocol resolution limit. The future work is to recruit
more volunteers to compare the morphological vascularization indices between
physiological and pathological placenta. In the end, we hope to apply the
quantification method to the diagnosis of abnormally invasive placenta once the
in-vivo MRA protocol is successfully established.
Acknowledgements
No acknowledgement found.References
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Duan et al., J Genycol Obstet Biol Reprod (Paris) 2015, vol 44(2) pp107-118
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Rennie et al., Am J Physiol Heart Circ Physiol 2011 vol. 300 H675-H684
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