Evidence map›Paper›PMID 30239036›Full record

ArticleMagnetic resonance in medicine2019

Separating fetal and maternal placenta circulations using multiparametric MRI.

Andrew Melbourne, Rosalind Aughwane, Magdalena Sokolska, David Owen, Giles Kendall, Dimitra Flouri, Alan Bainbridge, David Atkinson, Jan Deprest, Tom Vercauteren and 2 more

Open access · hybridAbstract read
In one paragraph

Article in Magnetic resonance in medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed
8.3field-weighted citation impact, top 2% of its field
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

44 citing papers in PubMed, 79 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Observational
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Review
  17. Article
  18. Article
  19. Developments in functional imaging of the placenta.The British journal of radiology · 2023
    Review
  20. 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

12 authors at 3 institutions in 2 countries.

Andrew MelbourneDepartment of Medical Physics and Biomedical Engineering, University College London, London, United Kingdom.
Rosalind AughwaneDepartment of Medical Physics and Biomedical Engineering, University College London, London, United Kingdom.
Magdalena SokolskaMedical Physics, University College Hospital, London, United Kingdom.
David OwenDepartment of Medical Physics and Biomedical Engineering, University College London, London, United Kingdom.ORCID 0000-0002-5381-7722
Giles KendallInstitute for Women's Health, University College Hospital,London, London, United Kingdom.
Dimitra FlouriDepartment of Medical Physics and Biomedical Engineering, University College London, London, United Kingdom.
Alan BainbridgeMedical Physics, University College Hospital, London, United Kingdom.
David AtkinsonCentre for Medical Imaging, University College London, London, United Kingdom.ORCID 0000-0003-1124-6666
Jan DeprestInstitute for Women's Health, University College Hospital,London, London, United Kingdom.
Tom VercauterenDepartment of Medical Physics and Biomedical Engineering, University College London, London, United Kingdom.
Anna DavidInstitute for Women's Health, University College Hospital,London, London, United Kingdom.
Sebastien OurselinDepartment of Medical Physics and Biomedical Engineering, University College London, London, United Kingdom.
University College Hospital · GBKing's College London · GBUniversity College London · GB

Funding

EPSRC EP/L016478/1EPSRC NS/A000027/1National Institute for Health Research (NIHR)National Institute for Health Research University College London Hospitals Biomedical Research Centre BRC10269Wellcome Trust 101957/Z/13/ZWellcome Trust 210182/Z/18/Z
6 · The paper itself

Abstract

purposeThe placenta is a vital organ for the exchange of oxygen, nutrients, and waste products between fetus and mother. The placenta may suffer from several pathologies, which affect this fetal-maternal exchange, thus the flow properties of the placenta are of interest in determining the course of pregnancy. In this work, we propose a new multiparametric model for placental tissue signal in MRI.

methodsWe describe a method that separates fetal and maternal flow characteristics of the placenta using a 3-compartment model comprising fast and slowly circulating fluid pools, and a tissue pool is fitted to overlapping multiecho T2 relaxometry and diffusion MRI with low b-values. We implemented the combined model and acquisition on a standard 1.5 Tesla clinical system with acquisition taking less than 20 minutes.

resultsWe apply this combined acquisition in 6 control singleton placentas. Mean myometrial T2 relaxation time was 123.63 (±6.71) ms. Mean T2 relaxation time of maternal blood was 202.17 (±92.98) ms. In the placenta, mean T2 relaxation time of the fetal blood component was 144.89 (±54.42) ms. Mean ratio of maternal to fetal blood volume was 1.16 (±0.6), and mean fetal blood saturation was 72.93 (±20.11)% across all 6 cases.

conclusionThe novel acquisition in this work allows the measurement of histologically relevant physical parameters, such as the relative proportions of vascular spaces. In the placenta, this may help us to better understand the physiological properties of the tissue in disease.

Indexed as

Magnetic Resonance ImagingMaternal-Fetal ExchangePlacental CirculationAlgorithmsFemaleFetal BloodFetusHumansImage Processing, Computer-AssistedModels, TheoreticalMyometriumOxygenPlacentaPregnancyPrenatal DiagnosisUmbilical ArteriesOxygenchorionDECIDEdiffusionflow-matchingrelaxometry

Identifiers

PMID30239036
PMCPMC6282748
OpenAlexW2890367356

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.