Evidence map›Paper›PMID 35947435›Full record

ArticleJMIR research protocols2022

Magnetic Resonance Imaging Angiography of Physiological and Pathological Pregnancy Placentas Ex Vivo: Protocol for a Prospective Pilot Study.

Matthieu Dap, Bailiang Chen, Claire Banasiak, Gabriela Hossu, Olivier Morel, Marine Beaumont, Charline Bertholdt

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in JMIR research protocols, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04389099 (MRI Angiography of Physiological and Pathological Pregnancy Placentas Ex-vivo), which is not on this map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.4field-weighted citation impact, top 38% 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.

NCT04389099 completednot on this map

MRI Angiography of Physiological and Pathological Pregnancy Placentas Ex-vivo

TypeobservationalSponsorCentral Hospital, Nancy, FranceRan2019 to 2024Enrolled84ConditionsPre-Eclampsia, Fetal Growth Retardation
3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 2 citations in OpenAlex.

No citing paper in PubMed yet.

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

7 authors at 2 institutions in 1 country.

Matthieu DapObstetric and Fetal Medicine Unit, Centre Hospitalier Régional Universitaire of Nancy, Nancy, France.ORCID https://orcid.org/0000-0002-2846-1509
Bailiang ChenINSERM U1254, IADI, Vandoeuvre-lès-Nancy, France.ORCID https://orcid.org/0000-0003-1038-7846
Claire BanasiakINSERM CIC-IT 1433 Innovative Technology, University of Lorraine and University Hospital of Nancy, Nancy, France.ORCID https://orcid.org/0000-0002-7069-4226
Gabriela HossuINSERM CIC-IT 1433 Innovative Technology, University of Lorraine and University Hospital of Nancy, Nancy, France.ORCID https://orcid.org/0000-0003-1178-9097
Olivier MorelObstetric and Fetal Medicine Unit, Centre Hospitalier Régional Universitaire of Nancy, Nancy, France.ORCID https://orcid.org/0000-0001-6359-1328
Marine BeaumontINSERM U1254, IADI, Vandoeuvre-lès-Nancy, France.ORCID https://orcid.org/0000-0002-3269-5447
Charline BertholdtObstetric and Fetal Medicine Unit, Centre Hospitalier Régional Universitaire of Nancy, Nancy, France.ORCID https://orcid.org/0000-0001-9297-5363
Inserm · FRCentre Hospitalier Régional et Universitaire de Nancy · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPreeclampsia (PE) and intrauterine growth restriction (IUGR) are 2 major pregnancy complications due to abnormal placental vasculogenesis. Data on whole fetoplacental vasculature are still missing; hence, these pathologies are not well understood. Ex vivo magnetic resonance imaging (MRI) angiography has been developed to characterize the human placental vasculature by injecting a contrast agent within the umbilical cord.

objectiveThe primary objective of this study is to compare the placental vascular architecture between normal and pathological pregnancies. This study's secondary objectives are to (1) compare texture features on MRI between groups (normal and pathological), (2) quantitatively compare the vascular architecture between both pathological groups (pathological IUGR, and pathological PE), (3) evaluate the quality of the histological examination in injected placentas, and (4) compare vascularization indices to histological characteristics.

methodsThis is a prospective controlled study. We expect to include 100 placentas: 40 from normal pregnancies and 60 from pathological pregnancies (30 for IUGR and 30 for PE). Ex vivo MR image acquisition will be performed shortly after delivery and with preparation by injection of a contrast agent in the umbilical cord. The vascular architecture will be quantitatively described by vascularization indices measured from ex vivo MRI angiography data. Comparisons of vascularization indices and texture features in accordance with the group and within comparable gestational age will be also performed. After MR image acquisition, placental histopathological analysis will be performed.

resultsThe enrollment of women began in November 2019. In view of the recruitment capacity of our institution and the availability of the MRI, recruitment should be completed by March 2022. As of November 2021, we enrolled 70% of the intended study population.

conclusionsThis study protocol aims to provide information about the fetal side of placental vascular architecture in normal and pathological placenta through MRI.

trial registrationClinicaltrials.gov NCT04389099; https://clinicaltrials.gov/ct2/show/NCT04389099. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/35051.

Indexed as

intrauterineintrauterine growth restrictionIUGRmagnetic resonance imagingMRIpathologyPEphysiologyplacentapreeclampsiapregnancyuterinevasculogenesis

Identifiers

PMID35947435
PMCPMC9403824
OpenAlexW4290982024

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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.