Evidence map›Paper›PMID 25884689›Full record

ArticleDiagnostic pathology2015

3-dimensional digital reconstruction of the murine coronary system for the evaluation of chronic allograft vasculopathy.

László Fónyad, Kazunobu Shinoda, Evan A Farkash, Martin Groher, Divya P Sebastian, A Marcell Szász, Robert B Colvin, Yukako Yagi

Abstract readEvaluation Study
In one paragraph

Article in Diagnostic pathology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Review
  3. Banff Digital Pathology Working Group: Going digital in transplant pathology.American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons · 2020
    Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. 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.

László Fónyad1st Department of Pathology and Experimental Cancer Research, Semmelweis University, Budapest, Hungary. fonyadla@gmail.com.
Kazunobu ShinodaDepartment of Pathology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA. kshino49@yahoo.co.jp.
Evan A FarkashDepartment of Pathology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA. efarkash@med.umich.edu.
Martin GrohermicroDimensions GmbH, Munich, Germany. martin.groher@micro-dimensions.com.
Divya P SebastianDepartment of Pathology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA. DSEBASTIAN@partners.org.
A Marcell Szász2nd Department of Pathology, Semmelweis University, Budapest, Hungary. cac@korb2.sote.hu.
Robert B ColvinDepartment of Pathology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA. COLVIN@helix.mgh.harvard.edu.
Yukako YagiDepartment of Pathology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA. YYAGI@partners.org.

Funding

C4d-independent diagnosis of chronic antibody mediated renal allograft rejectionK23AI108951 · NIAID · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI FARKASH, EVAN A · 2014 to 2018
$706k
NIAID NIH HHS K23 AI108951
6 · The paper itself

Abstract

backgroundChronic allograft vasculopathy (CAV) is a major mechanism of graft failure of transplanted organs in humans. Morphometric analysis of coronary arteries enables the quantitation of CAV in mouse models of heart transplantation. However, conventional histological procedures using single 2-dimensional sections limit the accuracy of CAV quantification. The aim of this study is to improve the accuracy of CAV quantification by reconstructing the murine coronary system in 3-dimensions (3D) and using virtual reconstruction and volumetric analysis to precisely assess neointimal thickness.

methodsMouse tissue samples, native heart and transplanted hearts with chronic allograft vasculopathy, were collected and analyzed. Paraffin embedded samples were serially sectioned, stained and digitized using whole slide digital imaging techniques under normal and ultraviolet lighting. Sophisticated software tools were used to generate and manipulate 3D reconstructions of the major coronary arteries and branches.

resultsThe 3D reconstruction provides not only accurate measurements but also exact volumetric data of vascular lesions. This virtual coronary arteriography demonstrates that the vasculopathy lesions in this model are localized to the proximal coronary segments. In addition, virtual rotation and volumetric analysis enabled more precise measurements of CAV than single, randomly oriented histologic sections, and offer an improved readout for this important experimental model.

conclusionsWe believe 3D reconstruction of 2D histological slides will provide new insights into pathological mechanisms in which structural abnormalities play a role in the development of a disease. The techniques we describe are applicable to the analysis of arteries, veins, bronchioles and similar sized structures in a variety of tissue types and disease model systems. VIRTUAL SLIDES: The virtual slide(s) for this article can be found here: http://www.diagnosticpathology.diagnomx.eu/vs/3772457541477230 .

Indexed as

AlgorithmsAllograftsAngiography, Digital SubtractionAnimalsChronic DiseaseCoronary AngiographyCoronary Artery DiseaseCoronary VesselsDisease Models, AnimalFeasibility StudiesFemaleGreen Fluorescent ProteinsHeart TransplantationImage Interpretation, Computer-AssistedImaging, Three-DimensionalMaleenhanced green fluorescent proteinGreen Fluorescent Proteins

Identifiers

PMID25884689
PMCPMC4383204

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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.