In vivo placental MRI shape and textural features predict fetal growth restriction and postnatal outcome

Authors

Sonia Dahdouh, Childrens National Health System
Nickie Andescavage, Childrens National Health System
Sayali Yewale, Childrens National Health System
Alexa Yarish, Childrens National Health System
Diane Lanham, Childrens National Health System
Dorothy Bulas, Childrens National Health System
Adre J. du Plessis, School of Medicine and Health Sciences
Catherine Limperopoulos, Childrens National Health System

Document Type

Journal Article

Publication Date

2-1-2018

Journal

Journal of Magnetic Resonance Imaging

Volume

47

Issue

2

DOI

10.1002/jmri.25806

Keywords

fetal growth restriction; MRI; placenta; shape analysis; textural analysis

Abstract

© 2017 International Society for Magnetic Resonance in Medicine. Purpose: To investigate the ability of three-dimensional (3D) MRI placental shape and textural features to predict fetal growth restriction (FGR) and birth weight (BW) for both healthy and FGR fetuses. Materials and Methods: We recruited two groups of pregnant volunteers between 18 and 39 weeks of gestation; 46 healthy subjects and 34 FGR. Both groups underwent fetal MR imaging on a 1.5 Tesla GE scanner using an eight-channel receiver coil. We acquired 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. Placental shape features (volume, thickness, elongation) were combined with textural features; first order textural features (mean, variance, kurtosis, and skewness of placental gray levels), as well as, textural features computed on the gray level co-occurrence and run-length matrices characterizing placental homogeneity, symmetry, and coarseness. The features were used in two machine learning frameworks to predict FGR and BW. Results: The proposed machine-learning based method using shape and textural features identified FGR pregnancies with 86% accuracy, 77% precision and 86% recall. BW estimations were 0.3 ± 13.4% (mean percentage error ± standard error) for healthy fetuses and -2.6 ± 15.9% for FGR. Conclusion: The proposed FGR identification and BW estimation methods using in utero placental shape and textural features computed on 3D MR images demonstrated high accuracy in our healthy and high-risk cohorts. Future studies to assess the evolution of each feature with regard to placental development are currently underway. Level of Evidence: 2. Technical Efficacy: Stage 2. J. Magn. Reson. Imaging 2018;47:449–458.

APA Citation

Dahdouh, S., Andescavage, N., Yewale, S., Yarish, A., Lanham, D., Bulas, D., du Plessis, A., & Limperopoulos, C. (2018). In vivo placental MRI shape and textural features predict fetal growth restriction and postnatal outcome. Journal of Magnetic Resonance Imaging, 47 (2). http://dx.doi.org/10.1002/jmri.25806