Courtesy: radiopaedia.org |
Fetal Growth
Retardation(FGR) and Birth Weight(BW) can be predicted with reasonable accuracy
using in utero placental shape, volume, dimensions and textural features during
pregnancy based on computed 3D MR images says study results published online July
22 in Journal of Magnetic Resonance Imaging.
A team of
Children's National Health System research scientists recently investigated the
ability of predicting FGR and BV by studying placental morphometry.
The
researchers looked at two groups of women between 18 to 39 weeks of gestation;
46 women carried healthy fetus while 34 women had FGR, defined by estimated
fetal weight that fell below the 10th percentile for gestational age.
Fetal MR
imaging was done on a 1.5 Tesla GE scanner using an eight-channel receiver coil
acquiring 124 T2-weighted images on either the coronal or the axial plane to
obtain MR volumes with a slice thickness of either 4 or 8 mm covering the full
placenta.
Machine
learning framework using shape and textural feature was able to identify FGR pregnancies
with 86 % accuracy and 86% percent sensitivity. The BW calculation for both the
group was also reasonably accurate.
Catherine
Limperopoulos, Ph.D., co-director of research in the Division of Neonatology at
Children's National Health System and senior author of the study says "We
are helping to pioneer a very new frontier in fetal medicine. Other studies
have developed prediction tools based on fetal brain features in utero. To our
knowledge, this would be the first proposed framework for semi-automated
diagnosis of FGR and estimation of birth weight using structural MRI images of
the placental architecture in vivo. This has the potential to address a sizable
clinical gap since we lack methods that are both sufficiently sensitive and
specific to reliably detect FGR in utero."
"Identifying
early biomarkers of placental disease that may impair fetal growth and
well-being open up brand-new opportunities to intervene to protect vulnerable
fetuses," she further added.
The
researchers write that this first of a kind study of mapping the placenta to
develop a framework to predict FGR and BW needs further validation by future
studies involving large number of patients.
Primary
Source: Dahdouh, S., Andescavage, N., Yewale, S., Yarish, A., Lanham, D.,
Bulas, D., du Plessis, A. J. and Limperopoulos, C. (2017), In vivo placental
MRI shape and textural features predict fetal growth restriction and postnatal
outcome. J. Magn. Reson. Imaging. doi:10.1002/jmri.25806
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