Evidence map›Paper›PMID 28301486›Full record

ArticlePloS one2017

A computational method for three-dimensional reconstruction of the microarchitecture of myometrial smooth muscle from histological sections.

E Josiah Lutton, Wim J E P Lammers, Sean James, Hugo A van den Berg, Andrew M Blanks

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In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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

7 citing papers in PubMed.

  1. An update on pacemaking in the myometrium.The Journal of physiology · 2026
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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

5 authors.

E Josiah LuttonCell and Developmental Biology, Division of Biomedical Sciences Warwick Medical School, Coventry, United Kingdom.
Wim J E P LammersBioengineering Institute, Auckland University, Auckland, New Zealand.
Sean JamesDepartment of Pathology, University Hospitals Coventry and Warwickshire (UHCW), NHS Trust, Coventry, United Kingdom.
Hugo A van den BergUniversity of Warwick, Coventry, United Kingdom.
Andrew M BlanksCell and Developmental Biology, Division of Biomedical Sciences Warwick Medical School, Coventry, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe fibrous structure of the myometrium has previously been characterised at high resolutions in small tissue samples (< 100 mm3) and at low resolutions (∼500 μm per voxel edge) in whole-organ reconstructions. However, no high-resolution visualisation of the myometrium at the organ level has previously been attained. METHODS AND

resultsWe have developed a technique to reconstruct the whole myometrium from serial histological slides, at a resolution of approximately 50 μm per voxel edge. Reconstructions of samples taken from human and rat uteri are presented here, along with histological verification of the reconstructions and detailed investigation of the fibrous structure of these uteri, using a range of tools specifically developed for this analysis. These reconstruction techniques enable the high-resolution rendering of global structure previously observed at lower resolution. Moreover, structures observed previously in small portions of the myometrium can be observed in the context of the whole organ. The reconstructions are in direct correspondence with the original histological slides, which allows the inspection of the anatomical context of any features identified in the three-dimensional reconstructions. CONCLUSIONS AND SIGNIFICANCE: The methods presented here have been used to generate a faithful representation of myometrial smooth muscle at a resolution of ∼50 μm per voxel edge. Characterisation of the smooth muscle structure of the myometrium by means of this technique revealed a detailed view of previously identified global structures in addition to a global view of the microarchitecture. A suite of visualisation tools allows researchers to interrogate the histological microarchitecture. These methods will be applicable to other smooth muscle tissues to analyse fibrous microarchitecture.

Indexed as

AnimalsFemaleHumansImaging, Three-DimensionalMyometriumRats

Identifiers

PMID28301486
PMCPMC5354307

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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.