Evidence map›Paper›PMID 25800904›Full record

ArticleInternational urogynecology journal2015

Three-dimensional analysis of implanted magnetic-resonance-visible meshes.

Nikhil Sindhwani, Andrew Feola, Frederik De Keyzer, Filip Claus, Geertje Callewaert, Iva Urbankova, Sebastien Ourselin, Jan D'hooge, Jan Deprest

Abstract read
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In one paragraph

Article in International urogynecology journal, 2015. 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
1.6field-weighted citation impact, top 18% 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, 18 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. 3D reconstruction of MR-visible FeNeurourology and urodynamics · 2019
    Article
  5. MRI visible FeInternational urogynecology journal · 2017
    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 at 3 institutions in 2 countries.

Nikhil SindhwaniDepartment of Development and Regeneration, Cluster Organ Systems, Faculty of Medicine, KU, Leuven, Leuven, Belgium.
Andrew FeolaDepartment of Development and Regeneration, Cluster Organ Systems, Faculty of Medicine, KU, Leuven, Leuven, Belgium.
Frederik De KeyzerDepartment of Radiology, University Hospitals Leuven, Leuven, Belgium.
Filip ClausDepartment of Radiology, University Hospitals Leuven, Leuven, Belgium.
Geertje CallewaertDepartment of Development and Regeneration, Cluster Organ Systems, Faculty of Medicine, KU, Leuven, Leuven, Belgium.
Iva UrbankovaDepartment of Development and Regeneration, Cluster Organ Systems, Faculty of Medicine, KU, Leuven, Leuven, Belgium.
Sebastien OurselinCentre for Medical Image Computing (CMIC), University College London, London, UK.
Jan D'hoogeLaboratory on Cardiovascular Imaging and Dynamics, Department of Cardiovascular Sciences, Faculty of Medicine, KU Leuven, Leuven, Belgium.
Jan DeprestDepartment of Development and Regeneration, Cluster Organ Systems, Faculty of Medicine, KU, Leuven, Leuven, Belgium. Jan.Deprest@uzleuven.be.
KU Leuven · BEOrgan Recovery Systems (Belgium) · BEUniversity College London · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveOur primary objective was to develop relevant algorithms for quantification of mesh position and 3D shape in magnetic resonance (MR) images.

methodsIn this proof-of-principle study, one patient with severe anterior vaginal wall prolapse was implanted with an MR-visible mesh. High-resolution MR images of the pelvis were acquired 6 weeks and 8 months postsurgery. 3D models were created using semiautomatic segmentation techniques. Conformational changes were recorded quantitatively using part-comparison analysis. An ellipticity measure is proposed to record longitudinal conformational changes in the mesh arms. The surface that is the effective reinforcement provided by the mesh is calculated using a novel methodology. The area of this surface is the effective support area (ESA).

resultsMR-visible mesh was clearly outlined in the images, which allowed us to longitudinally quantify mesh configuration between 6 weeks and 8 months after implantation. No significant changes were found in mesh position, effective support area, conformation of the mesh's main body, and arm length during the period of observation. Ellipticity profiles show longitudinal conformational changes in posterior arms.

conclusionsThis paper proposes novel methodologies for a systematic 3D assessment of the position and morphology of MR-visible meshes. A novel semiautomatic tool was developed to calculate the effective area of support provided by the mesh, a potentially clinically important parameter.

Indexed as

Imaging, Three-DimensionalMagnetic Resonance ImagingSurgical MeshAlgorithmsFemaleHumansWorkflowConformational measurementsContractionGraft-related complicationMagnetic ResonanceMeshProlapseSemiautomatic analysis

Identifiers

PMID25800904
OpenAlexW2003182112

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.