Evidence map›Paper›PMID 28178293›Full record

ArticlePloS one2017

μCT of ex-vivo stained mouse hearts and embryos enables a precise match between 3D virtual histology, classical histology and immunochemistry.

Christian Dullin, Roser Ufartes, Emanuel Larsson, Sabine Martin, Marcio Lazzarini, Giuliana Tromba, Jeannine Missbach-Guentner, Diana Pinkert-Leetsch, Dörthe M Katschinski, Frauke Alves

Open access · goldAbstract read
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 43 papers.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed
8.8field-weighted citation impact, top 2% 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

43 citing papers in PubMed, 79 citations in OpenAlex.

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  16. Three-dimensional analysis of human pancreatic cancer specimens by phase-contrast based X-ray tomography - the next dimension of diagnosis.Cancer imaging : the official publication of the International Cancer Imaging Society · 2023
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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

10 authors at 5 institutions in 2 countries.

Christian DullinInstitute for Diagnostic and Interventional Radiology, University Medical Center, Goettingen, Germany.ORCID http://orcid.org/0000-0003-4297-8077
Roser UfartesDepartment of Molecular Biology of Neuronal Signals, Max Planck Institute of Experimental Medicine, Goettingen, Germany.
Emanuel LarssonSynchrotron Light Source 'Elettra,' Trieste, Italy.
Sabine MartinDepartment of Molecular Biology of Neuronal Signals, Max Planck Institute of Experimental Medicine, Goettingen, Germany.
Marcio LazzariniDepartment of Molecular Biology of Neuronal Signals, Max Planck Institute of Experimental Medicine, Goettingen, Germany.
Giuliana TrombaSynchrotron Light Source 'Elettra,' Trieste, Italy.
Jeannine Missbach-GuentnerInstitute for Diagnostic and Interventional Radiology, University Medical Center, Goettingen, Germany.
Diana Pinkert-LeetschClinic for Haematology and Medical Oncology, University Medical Center, Goettingen, Germany.
Dörthe M KatschinskiInstitute of Cardiovascular Physiology, University Medical Center, Goettingen, Germany.
Frauke AlvesInstitute for Diagnostic and Interventional Radiology, University Medical Center, Goettingen, Germany.
Elettra-Sincrotrone Trieste S.C.p.A. · ITMax Planck Institute of Experimental Medicine · DEUniversity Medical Center Hamburg-Eppendorf · DENanoscale Microscopy and Molecular Physiology of the Brain Cluster of Excellence 171 — DFG Research Center 103 · DEUniversity of Göttingen · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The small size of the adult and developing mouse heart poses a great challenge for imaging in preclinical research. The aim of the study was to establish a phosphotungstic acid (PTA) ex-vivo staining approach that efficiently enhances the x-ray attenuation of soft-tissue to allow high resolution 3D visualization of mouse hearts by synchrotron radiation based μCT (SRμCT) and classical μCT. We demonstrate that SRμCT of PTA stained mouse hearts ex-vivo allows imaging of the cardiac atrium, ventricles, myocardium especially its fibre structure and vessel walls in great detail and furthermore enables the depiction of growth and anatomical changes during distinct developmental stages of hearts in mouse embryos. Our x-ray based virtual histology approach is not limited to SRμCT as it does not require monochromatic and/or coherent x-ray sources and even more importantly can be combined with conventional histological procedures. Furthermore, it permits volumetric measurements as we show for the assessment of the plaque volumes in the aortic valve region of mice from an ApoE-/- mouse model. Subsequent, Masson-Goldner trichrome staining of paraffin sections of PTA stained samples revealed intact collagen and muscle fibres and positive staining of CD31 on endothelial cells by immunohistochemistry illustrates that our approach does not prevent immunochemistry analysis. The feasibility to scan hearts already embedded in paraffin ensured a 100% correlation between virtual cut sections of the CT data sets and histological heart sections of the same sample and may allow in future guiding the cutting process to specific regions of interest. In summary, since our CT based virtual histology approach is a powerful tool for the 3D depiction of morphological alterations in hearts and embryos in high resolution and can be combined with classical histological analysis it may be used in preclinical research to unravel structural alterations of various heart diseases.

Indexed as

Imaging, Three-DimensionalX-Ray MicrotomographyAnimalsEmbryo, MammalianFemaleHeartImmunochemistryMiceMice, KnockoutMyocardiumPlaque, Atherosclerotic

Identifiers

PMID28178293
PMCPMC5298245
OpenAlexW2587351966

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.