Evidence map›Paper›PMID 25502022›Full record

ArticlePloS one2014

An open source image processing method to quantitatively assess tissue growth after non-invasive magnetic resonance imaging in human bone marrow stromal cell seeded 3D polymeric scaffolds.

Anne M Leferink, Raluca M Fratila, Maaike A Koenrades, Clemens A van Blitterswijk, Aldrik Velders, Lorenzo Moroni

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.8field-weighted citation impact, top 27% 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

2 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. 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

6 authors at 1 institution in 1 country.

Anne M LeferinkDepartment of Tissue Regeneration, MIRA - Institute for Biomedical Technology and Technical Medicine, University of Twente, Enschede, The Netherlands.
Raluca M FratilaNeuroImaging Group, MIRA - Institute for Biomedical Technology and Technical Medicine, University of Twente, Enschede, The Netherlands.
Maaike A KoenradesDepartment of Tissue Regeneration, MIRA - Institute for Biomedical Technology and Technical Medicine, University of Twente, Enschede, The Netherlands.
Clemens A van BlitterswijkDepartment of Tissue Regeneration, MIRA - Institute for Biomedical Technology and Technical Medicine, University of Twente, Enschede, The Netherlands; Department of Complex Tissue Regeneration, Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, The Netherlands.
Aldrik VeldersLaboratory of SupraMolecular Chemistry and Technology of MESA - Institute for Nanotechnology, University of Twente, Enschede, The Netherlands; Department of BioNanotechnology, Agrotechnology and Food Sciences, Wageningen University, Wageningen, The Netherlands.
Lorenzo MoroniDepartment of Tissue Regeneration, MIRA - Institute for Biomedical Technology and Technical Medicine, University of Twente, Enschede, The Netherlands; Department of Complex Tissue Regeneration, Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, The Netherlands.
University of Twente · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Monitoring extracellular matrix (ECM) components is one of the key methods used to determine tissue quality in three-dimensional (3D) scaffolds for regenerative medicine and clinical purposes. This is even more important when multipotent human bone marrow stromal cells (hMSCs) are used, as it could offer a method to understand in real time the dynamics of stromal cell differentiation and eventually steer it into the desired lineage. Magnetic Resonance Imaging (MRI) is a promising tool to overcome the challenge of a limited transparency in opaque 3D scaffolds. Technical limitations of MRI involve non-uniform background intensity leading to fluctuating background signals and therewith complicating quantifications on the retrieved images. We present a post-imaging processing sequence that is able to correct for this non-uniform background intensity. To test the processing sequence we investigated the use of MRI for in vitro monitoring of tissue growth in three-dimensional poly(ethylene oxide terephthalate)-poly(butylene terephthalate) (PEOT/PBT) scaffolds. Results showed that MRI, without the need to use contrast agents, is a promising non-invasive tool to quantitatively monitor ECM production and cell distribution during in vitro culture in 3D porous tissue engineered constructs.

Indexed as

Tissue ScaffoldsAnalysis of VarianceExtracellular MatrixHistological TechniquesHumansImage Processing, Computer-AssistedMagnetic Resonance ImagingMesenchymal Stem CellsMethylene BlueMicroscopy, Electron, ScanningPolyethylene GlycolsRegenerative MedicineMethylene BluePolyethylene Glycolspoly(ethylene oxide terephtalate)-poly(butylene terephtalate)

Identifiers

PMID25502022
PMCPMC4264848
OpenAlexW2097731594

What OpenQuestion holds

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LicenceCC BY
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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.