Placenta microstructure and microcirculation imaging with diffusion MRI

Slator, Paddy J. ORCID: https://orcid.org/0000-0001-6967-989X, Hutter, Jana, McCabe, Laura, Gomes, Ana Dos Santos, Price, Anthony N., Panagiotaki, Rutherford, Mary A., Hajnal, Joseph V. and Alexander, Daniel C. 2017. Placenta microstructure and microcirculation imaging with diffusion MRI. Magnetic Resonance in Medicine 80 (2) , pp. 756-766. 10.1002/mrm.27036

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Abstract

Purpose To assess which microstructural models best explain the diffusion-weighted MRI signal in the human placenta. Methods The placentas of nine healthy pregnant subjects were scanned with a multishell, multidirectional diffusion protocol at 3T. A range of multicompartment biophysical models were fit to the data, and ranked using the Bayesian information criterion. Results Anisotropic extensions to the intravoxel incoherent motion model, which consider the effect of coherent orientation in both microvascular structure and tissue microstructure, consistently had the lowest Bayesian information criterion values. Model parameter maps and model selection results were consistent with the physiology of the placenta and surrounding tissue. Conclusion Anisotropic intravoxel incoherent motion models explain the placental diffusion signal better than apparent diffusion coefficient, intravoxel incoherent motion, and diffusion tensor models, in information theoretic terms, when using this protocol. Future work will aim to determine if model-derived parameters are sensitive to placental pathologies associated with disorders, such as fetal growth restriction and early-onset pre-eclampsia. Magn Reson Med 80:756–766, 2018. © 2017 The Authors Magnetic Resonance in Medicine published by Wiley Periodicals, Inc. on behalf of International Society for Magnetic Resonance in Medicine. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

Item Type:	Article
Date Type:	Publication
Status:	Published
Schools:	Computer Science & Informatics
Publisher:	Wiley
ISSN:	1522-2594
Date of Acceptance:	17 November 2017
Last Modified:	06 Jul 2023 11:02
URI:	https://orca.cardiff.ac.uk/id/eprint/160748

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