Evidence map›Paper›PMID 36834652›Full record

ArticleInternational journal of molecular sciences2023

Definition and Quantification of Three-Dimensional Imaging Targets to Phenotype Pre-Eclampsia Subtypes: An Exploratory Study.

Sammy Hermans, Jacob Pilon, Dennis Eschweiler, Johannes Stegmaier, Carmen A H Severens-Rijvers, Salwan Al-Nasiry, Marc van Zandvoort, Dimitrios Kapsokalyvas

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.4field-weighted citation impact, top 12% 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

5 citing papers in PubMed, 8 citations in OpenAlex.

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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

8 authors at 3 institutions in 2 countries.

Sammy HermansDepartment of Genetics and Cell Biology, Maastricht University, 6200 MD Maastricht, The Netherlands.
Jacob PilonDepartment of Genetics and Cell Biology, Maastricht University, 6200 MD Maastricht, The Netherlands.
Dennis EschweilerInstitute of Imaging and Computer Vision, RWTH Aachen University, 52074 Aachen, Germany.
Johannes StegmaierInstitute of Imaging and Computer Vision, RWTH Aachen University, 52074 Aachen, Germany.
Carmen A H Severens-RijversPathology, GROW, Maastricht University Medical Centre (MUMC), 6229 HX Maastricht, The Netherlands.
Salwan Al-NasiryObstetrics and Gynaecology, GROW, Maastricht University Medical Centre (MUMC), 6229 HX Maastricht, The Netherlands.
Marc van ZandvoortDepartment of Genetics and Cell Biology, GROW, CARIM, MHeNS, Maastricht University, 6200 MD Maastricht, The Netherlands.
Dimitrios KapsokalyvasDepartment of Genetics and Cell Biology, Maastricht University, 6200 MD Maastricht, The Netherlands.ORCID 0000-0001-5576-2406
Maastricht University · NLMaastricht University Medical Centre · NLRWTH Aachen University · DE

Funding

Deutsche Forschungsgemeinschaft STE 2802/2-1
6 · The paper itself

Abstract

Pre-eclampsia is a severe placenta-related complication of pregnancy with limited early diagnostic and therapeutic options. Aetiological knowledge is controversial, and there is no universal consensus on what constitutes the early and late phenotypes of pre-eclampsia. Phenotyping of native placental three-dimensional (3D) morphology offers a novel approach to improve our understanding of the structural placental abnormalities in pre-eclampsia. Healthy and pre-eclamptic placental tissues were imaged with multiphoton microscopy (MPM). Imaging based on inherent signal (collagen, and cytoplasm) and fluorescent staining (nuclei, and blood vessels) enabled the visualization of placental villous tissue with subcellular resolution. Images were analysed with a combination of open source (FIJI, VMTK, Stardist, MATLAB, DBSCAN), and commercially (MATLAB) available software. Trophoblast organization, 3D-villous tree structure, syncytial knots, fibrosis, and 3D-vascular networks were identified as quantifiable imaging targets. Preliminary data indicate increased syncytial knot density with characteristic elongated shape, higher occurrence of paddle-like villous sprouts, abnormal villous volume-to-surface ratio, and decreased vascular density in pre-eclampsia compared to control placentas. The preliminary data presented indicate the potential of quantifying 3D microscopic images for identifying different morphological features and phenotyping pre-eclampsia in placental villous tissue.

Indexed as

PlacentaPre-EclampsiaFemaleHumansImaging, Three-DimensionalPhenotypePregnancyTrophoblastsmultiphoton microscopyplacentapre-eclampsiaquantification

Identifiers

PMID36834652
PMCPMC9959375
OpenAlexW4319442000

What OpenQuestion holds

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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.