Emily Alexandria Waters1, Pamela Monahan2, Chad R Haney1, Michael Kevin Fritsch3, Thomas J Meade4, and Kelly E Mayo2
1Center for Advanced Molecular Imaging, Northwestern University, Evanston, IL, United States, 2Molecular Biosciences, Northwestern University, Evanston, IL, United States, 3Pathology, Northwestern University Feinberg School of Medicine, Chicago, IL, United States, 4Chemistry, Molecular Biosciences, and Neurobiology, Northwestern University, Evanston, IL, United States
Synopsis
Though a large percentage of poor pregnancy outcomes such as stillbirth and preterm birth are related to placental dysfunction, the
gold-standard of diagnosing placental pathology remains examination of the placenta by a pathologist
after delivery. We demonstrate that anatomical and functional MRI can detect features of placental pathology correlating with ex vivo measures in a rat model of pre-eclampsia.
Background
A
large percentage of poor pregnancy outcomes such as fetal growth restriction,
stillbirth, and preterm birth are related to placental dysfunction. Over two
thirds of stillbirths are associated with placental pathology. Any pathologic
process that impairs placental perfusion may result in fetal hypoxia and/or
diminished nutrient delivery, and mediate adverse pregnancy outcomes. However,
the gold-standard of diagnosing placental pathology remains examination of the
placenta by a pathologist after delivery.Purpose
To demonstrate
feasibility of using MRI to detect morphological and functional differences in
vivo between the placentas of normal pregnant rats and those treated with
suramin, an angiogenesis inhibitor known to cause placental dysfunction
mimicking pre-eclampsia.1Methods
Timed
pregnant rats received an IP injection of PBS or 100mg/kg of suramin on gestational
days (GD) 10 and 11. Rats were
anesthetized with isoflurane (3% induction, 2% maintenance) and a tail vein
catheter was installed. Rats were imaged
on a 9.4T Bruker Biospec at GD17, 18, and 19.
Anatomical images were acquired using two interleaved stacks of a
TurboRARE sequence (TR/TE=1500/21 ms, resolution 0.2x0.2x1.5 mm3, 11-13
slices) in coronal and sagittal orientations.
Dynamic contrast enhanced (DCE) images were acquired at 3 sagittal slices (FLASH, TR/TE/α=25ms/1.5ms/20°, resolution 0.3x0.3x1.5 mm3,
3 slices, 64 evolutions), followed by T1-weighted anatomical images
in the same geometry (T1-RARE, TR/TE=1500/5.6 ms). After MRI, rats were euthanized and placentas
measured, weighed, and fixed in 4% paraformaldehyde. Three placentas from each animal were
processed for histology. MR images were
consulted and labeled during dissection to match ex vivo samples with in vivo
images. Amira software was used to segment and calculate volumes for all placentas
in each animal. DCE data were analyzed
using fuzzy C-means clustering implemented in Matlab and fit to a 2 compartment model.
Results
MRI-based
volumetry on 98 placentas correlated well with placental weights (R2=0.60;
Figure 1). PBS-treated control placentas
included 13 at GD17, 12 at GD18, and 10 at GD19. Suramin-treated placentas included 20 at
GD17, 25 at GD18, and 18 at GD19. Suramin-treated
placentas exhibited heterogeneous regions of T2 shortening
consistent with blood pooling, a finding confirmed by histology (Figure 2). No such regions were observed on control
placentas. Suramin-treated placentas
were significantly larger than control placentas at GD17 (0.44±0.07 mL vs 0.34±0.04
mL) and GD18 (0.57±0.11 mL vs 0.37±0.04 mL).
No difference in size was observed at GD19 (0.66±0.15 mL vs 0.66±0.12
mL). Preliminary DCE-MRI results show slow-filling
clusters of voxels in the suramin-treated group, also consistent with
blood pooling (Figure 3, Table 1). Discussion
Suramin disrupts placental formation by inhibiting
angiogenesis, and has been used as a preclinical model of pre-eclampsia. The
goal of this study was to validate
in vivo imaging methods for detecting suramin-induced
placental abnormalities that have heretofore only been studied
ex vivo using
histology and placental weights. Lesions
appeared as hypointense regions on T
2-weighted anatomic images. Histologic examination
confirmed that these regions correspond to expansion of the labyrinthine
vascular channels and loss of the trophoblastic walls. Volume measurements
correlated well with
ex vivo placenta weights, suggesting that MRI volumetry is
an appropriate metric for longitudinal studies.
The suramin-treated placentas were significantly larger (weight and
volume) than the PBS-treated placentas at the earlier timepoints (GD17 and
GD18). The increase in volume between days 18 and 19 for the PBS treated
animals may reflect an increase in placental perfusion that occurs in late pregnancy,
a hypothesis which we are investigating using DCE-MRI.
As low
SNR is an inherent challenge for DCE-MRI, we use fuzzy C-means analysis (FCM) to cluster
voxels into groups with similar kinetic profiles to improve pharmacokinetic
modeling. This technique has been
previously established in tumor imaging to differentiate regions with different
vascular properties.
2 Post-contrast images show discrete regions of delayed washout in the
suramin group that are absent in the PBS group (
Figure 3). The spatial structure of the FCM clusters
correlates with the post-contrast
T1-weighted imaging. Fitting the DCE data to a
two-parameter model shows a global reduction in K
trans in the suramin group relative to the PBS group (
Table 1).
3 This indicates impaired perfusion in the suramin-treated placentas. Future analysis will examine changes in Ktrans between the suramin and PBS treated groups over time.Conclusion
In vivo MR-based measurements of anatomical and functional placental
abnormalities in a rodent model of preeclampsia correlate well with ex vivo
measurements. This framework can be used
to evaluate placental development longitudinally in vivo using a combination of
functional and anatomical MRI, thereby gaining a deeper understanding of the
biological processes underpinning pre-eclampsia. Acknowledgements
MRI was performed at the Center for Advanced Molecular Imaging generously supported by NCI CCSG P30 CA060553 awarded to the Robert H Lurie Comprehensive Cancer Center.
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