Evidence map›Paper›PMID 29230859›Full record

ArticleMagnetic resonance in medicine2018

Placenta microstructure and microcirculation imaging with diffusion MRI.

Paddy J Slator, Jana Hutter, Laura McCabe, Ana Dos Santos Gomes, Anthony N Price, Eleftheria Panagiotaki, Mary A Rutherford, Joseph V Hajnal, Daniel C Alexander

Abstract read
In one paragraph

Article in Magnetic resonance in medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

42 citing papers in PubMed.

  1. Article
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  12. Review
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  14. Article
  15. Fetal MRI: what's new? A short review.European radiology experimental · 2023
    Review
  16. Developments in functional imaging of the placenta.The British journal of radiology · 2023
    Review
  17. Article
  18. Article
  19. Article
  20. Placental MRI Predicts Fetal Oxygenation and Growth Rates in Sheep and Human Pregnancy.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2022
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Paddy J SlatorCentre for Medical Image Computing and Department of Computer Science, University College London, London, UK.ORCID 0000-0001-6967-989X
Jana HutterCentre for the Developing Brain, King's College London, London, UK.
Laura McCabeCentre for the Developing Brain, King's College London, London, UK.
Ana Dos Santos GomesCentre for the Developing Brain, King's College London, London, UK.
Anthony N PriceCentre for the Developing Brain, King's College London, London, UK.
Eleftheria PanagiotakiCentre for Medical Image Computing and Department of Computer Science, University College London, London, UK.
Mary A RutherfordCentre for the Developing Brain, King's College London, London, UK.
Joseph V HajnalCentre for the Developing Brain, King's College London, London, UK.ORCID 0000-0002-2690-5495
Daniel C AlexanderCentre for Medical Image Computing and Department of Computer Science, University College London, London, UK.ORCID 0000-0003-2439-350X

Funding

Structure and function of the placenta from implantation to delivery: a next generation MRI approachU01HD087202 · NICHD · KING'S COLLEGE LONDON · PI ALEXANDER, DANIEL, ALJABAR, PAUL · 2015 to 2015
$3.2M
Medical Research Council MR/M009106/1NICHD NIH HHS U01 HD087202Wellcome Trust 201374/Z/16/Z
6 · The paper itself

Abstract

purposeTo assess which microstructural models best explain the diffusion-weighted MRI signal in the human placenta.

methodsThe 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.

resultsAnisotropic 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.

conclusionAnisotropic 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.

Indexed as

AnisotropyBayes TheoremDiffusion Magnetic Resonance ImagingFemaleHumansImage Processing, Computer-AssistedMicrocirculationPlacentaPregnancyBayesian information criteriondiffusion MRIintravoxel incoherent motionmicrostructuremodel selectionplacenta

Identifiers

PMID29230859
PMCPMC5947291

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.