Non-invasive mapping of human placenta microenvironments throughout pregnancy with diffusion-relaxation MRI.


Journal

Placenta
ISSN: 1532-3102
Titre abrégé: Placenta
Pays: Netherlands
ID NLM: 8006349

Informations de publication

Date de publication:
Dec 2023
Historique:
received: 10 05 2023
revised: 13 10 2023
accepted: 01 11 2023
medline: 6 12 2023
pubmed: 13 11 2023
entrez: 12 11 2023
Statut: ppublish

Résumé

In-vivo measurements of placental structure and function have the potential to improve prediction, diagnosis, and treatment planning for a wide range of pregnancy complications, such as fetal growth restriction and pre-eclampsia, and hence inform clinical decision making, ultimately improving patient outcomes. MRI is emerging as a technique with increased sensitivity to placental structure and function compared to the current clinical standard, ultrasound. We demonstrate and evaluate a combined diffusion-relaxation MRI acquisition and analysis pipeline on a sizable cohort of 78 normal pregnancies with gestational ages ranging from 15 + 5 to 38 + 4 weeks. Our acquisition comprises a combined T2*-diffusion MRI acquisition sequence - which is simultaneously sensitive to oxygenation, microstructure and microcirculation. We analyse our scans with a data-driven unsupervised machine learning technique, InSpect, that parsimoniously identifies distinct components in the data. We identify and map seven potential placental microenvironments and reveal detailed insights into multiple microstructural and microcirculatory features of the placenta, and assess their trends across gestation. By demonstrating direct observation of micro-scale placental structure and function, and revealing clear trends across pregnancy, our work contributes towards the development of robust imaging biomarkers for pregnancy complications and the ultimate goal of a normative model of placental development.

Identifiants

pubmed: 37952367
pii: S0143-4004(23)00587-8
doi: 10.1016/j.placenta.2023.11.002
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

29-37

Informations de copyright

Copyright © 2023 The Authors. Published by Elsevier Ltd.. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of competing interest The authors have no competing interests to declare.

Auteurs

Paddy J Slator (PJ)

Cardiff University Brain Research Imaging Centre, School of Psychology, Maindy Road, Cardiff, CF24 4HQ, UK; School of Computer Science and Informatics, Cardiff University, Cardiff, UK; Centre for Medical Image Computing and Department of Computer Science, University College London, London, UK. Electronic address: slatorp@cardiff.ac.uk.

Daniel Cromb (D)

Centre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.

Laurence H Jackson (LH)

Centre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK; Biomedical Engineering Department, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.

Alison Ho (A)

Department of Women and Children's Health, School of Life Course Sciences, King's College London, London, UK.

Serena J Counsell (SJ)

Centre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.

Lisa Story (L)

Department of Women and Children's Health, School of Life Course Sciences, King's College London, London, UK.

Lucy C Chappell (LC)

Department of Women and Children's Health, School of Life Course Sciences, King's College London, London, UK.

Mary Rutherford (M)

Centre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.

Joseph V Hajnal (JV)

Centre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK; Biomedical Engineering Department, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.

Jana Hutter (J)

Centre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK; Biomedical Engineering Department, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.

Daniel C Alexander (DC)

Centre for Medical Image Computing and Department of Computer Science, University College London, London, UK.

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Classifications MeSH