Evidence map›Paper›PMID 25362175›Full record

ArticleEuropace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology2014

Three-dimensional histology: tools and application to quantitative assessment of cell-type distribution in rabbit heart.

Rebecca A B Burton, Peter Lee, Ramón Casero, Alan Garny, Urszula Siedlecka, Jürgen E Schneider, Peter Kohl, Vicente Grau

Abstract readComparative Study
In one paragraph

Article in Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Impact of intraventricular septal fiber orientation on cardiac electromechanical function.American journal of physiology. Heart and circulatory physiology · 2022
    Article
  4. Article
  5. Article
  6. Human-based approaches to pharmacology and cardiology: an interdisciplinary and intersectorial workshop.Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology · 2016
    Article
  7. Article
  8. Article
  9. Review
  10. Review
  11. 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

8 authors.

Rebecca A B BurtonDepartment of Physiology, Anatomy and Genetics, University of Oxford, Oxford OX1 3PT, UK.
Peter LeeDepartment of Physics, University of Oxford, Oxford OX1 3RH, UK.
Ramón CaseroInstitute of Biomedical Engineering, Department of Engineering Science, University of Oxford, Oxford OX3 7DQ, UK.
Alan GarnyDepartment of Physiology, Anatomy and Genetics, University of Oxford, Oxford OX1 3PT, UK.
Urszula SiedleckaThe Heart Science Centre, National Heart and Lung Institute, Imperial College London, Harefield UB9 6JH, UK.
Jürgen E SchneiderBritish Heart Foundation Experimental MR Unit, Radcliffe Department of Medicine, Division of Cardiovascular Medicine, University of Oxford, Oxford OX3 7BN, UK.
Peter KohlThe Heart Science Centre, National Heart and Lung Institute, Imperial College London, Harefield UB9 6JH, UK p.kohl@imperial.ac.uk.
Vicente GrauInstitute of Biomedical Engineering, Department of Engineering Science, University of Oxford, Oxford OX3 7DQ, UK.

Funding

Biotechnology and Biological Sciences Research Council BB/I012117/1British Heart Foundation FS/11/50/29038British Heart Foundation FS/12/17/29532British Heart Foundation NH/13/1/30238British Heart Foundation NH/13/30238British Heart Foundation PG/13/33/30210
6 · The paper itself

Abstract

aimsCardiac histo-anatomical organization is a major determinant of function. Changes in tissue structure are a relevant factor in normal and disease development, and form targets of therapeutic interventions. The purpose of this study was to test tools aimed to allow quantitative assessment of cell-type distribution from large histology and magnetic resonance imaging- (MRI) based datasets. METHODS AND

resultsRabbit heart fixation during cardioplegic arrest and MRI were followed by serial sectioning of the whole heart and light-microscopic imaging of trichrome-stained tissue. Segmentation techniques developed specifically for this project were applied to segment myocardial tissue in the MRI and histology datasets. In addition, histology slices were segmented into myocytes, connective tissue, and undefined. A bounding surface, containing the whole heart, was established for both MRI and histology. Volumes contained in the bounding surface (called 'anatomical volume'), as well as that identified as containing any of the above tissue categories (called 'morphological volume'), were calculated. The anatomical volume was 7.8 cm(3) in MRI, and this reduced to 4.9 cm(3) after histological processing, representing an 'anatomical' shrinkage by 37.2%. The morphological volume decreased by 48% between MRI and histology, highlighting the presence of additional tissue-level shrinkage (e.g. an increase in interstitial cleft space). The ratio of pixels classified as containing myocytes to pixels identified as non-myocytes was roughly 6:1 (61.6 vs. 9.8%; the remaining fraction of 28.6% was 'undefined').

conclusionQualitative and quantitative differentiation between myocytes and connective tissue, using state-of-the-art high-resolution serial histology techniques, allows identification of cell-type distribution in whole-heart datasets. Comparison with MRI illustrates a pronounced reduction in anatomical and morphological volumes during histology processing.

Indexed as

Computer SimulationImaging, Three-DimensionalMagnetic Resonance ImagingModels, CardiovascularAnimalsComputer GraphicsFemaleHeartHeart Arrest, InducedImage Interpretation, Computer-AssistedModels, AnimalMyocardiumMyocytes, CardiacRabbitsCardiac MRIComputational modelsConnective tissueMyocytesSerial histology

Identifiers

PMID25362175
PMCPMC4217519

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Registered trials

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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.