Evidence map›Paper›PMID 29721067›Full record

ArticleTheranostics2018

3D Imaging and Quantitative Analysis of Vascular Networks: A Comparison of Ultramicroscopy and Micro-Computed Tomography.

Jeremy Epah, Katalin Pálfi, Franziska Luise Dienst, Pedro Felipe Malacarne, Rolf Bremer, Michael Salamon, Sandeep Kumar, Hanjoong Jo, Christoph Schürmann, Ralf Peter Brandes

Open access · goldAbstract readComparative Study
In one paragraph

Article in Theranostics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
4.9field-weighted citation impact, top 4% 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

30 citing papers in PubMed, 49 citations in OpenAlex.

  1. Targeted cell deposition for lung re-endothelialization.Biomechanics and modeling in mechanobiology · 2026
    Article
  2. Review
  3. Visualization of the Embryonic Great Vessels Using Plastic Resin Injection.Methods in molecular biology (Clifton, N.J.) · 2026
    Article
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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 3 institutions in 2 countries.

Jeremy EpahInstitut für Kardiovaskuläre Physiologie, Fachbereich Medizin der Goethe-Universität, Theodor-Stern-Kai 7, D-60590 Frankfurt am Main, Germany.
Katalin PálfiInstitut für Kardiovaskuläre Physiologie, Fachbereich Medizin der Goethe-Universität, Theodor-Stern-Kai 7, D-60590 Frankfurt am Main, Germany.
Franziska Luise DienstInstitut für Kardiovaskuläre Physiologie, Fachbereich Medizin der Goethe-Universität, Theodor-Stern-Kai 7, D-60590 Frankfurt am Main, Germany.
Pedro Felipe MalacarneInstitut für Kardiovaskuläre Physiologie, Fachbereich Medizin der Goethe-Universität, Theodor-Stern-Kai 7, D-60590 Frankfurt am Main, Germany.
Rolf BremerHBB Datenkommunikation & Abrechnungssysteme, Hannover, Germany.
Michael SalamonFraunhofer-Institut für Integrierte Schaltungen IIS, Fürth, Germany.
Sandeep KumarWallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, Georgia, United States of America.
Hanjoong JoWallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, Georgia, United States of America.
Christoph SchürmannInstitut für Kardiovaskuläre Physiologie, Fachbereich Medizin der Goethe-Universität, Theodor-Stern-Kai 7, D-60590 Frankfurt am Main, Germany.
Ralf Peter BrandesInstitut für Kardiovaskuläre Physiologie, Fachbereich Medizin der Goethe-Universität, Theodor-Stern-Kai 7, D-60590 Frankfurt am Main, Germany.
Goethe University Frankfurt · DEGeorgia Institute of Technology · USFraunhofer Institute for Integrated Circuits · DE

Funding

T cell triggering events and hypertensionP01HL095070 · NHLBI · EMORY UNIVERSITY · PI JO, HANJOONG · 2009 to 2019
$20.5M
6 · The paper itself

Abstract

rationaleClassic histology is the gold standard for vascular network imaging and analysis. The method however is laborious and prone to artefacts. Here, the suitability of ultramicroscopy (UM) and micro-computed tomography (CT) was studied to establish potential alternatives to histology.

methodsThe vasculature of murine organs (kidney, heart and atherosclerotic carotid arteries) was visualized using conventional 2D microscopy, 3D light sheet ultramicroscopy (UM) and micro-CT. Moreover, spheroid-based human endothelial cell vessel formation in mice was quantified. Fluorescently labeled Isolectin GS-IB4 A647 was used for

resultsUsing UM imaging, 3D vascular network information could be obtained in samples of animals receiving

conclusionUM and micro-CT are two complementary techniques. Whereas UM is ideal for imaging and especially quantifying capillary networks and arterioles, larger vascular structures are easier and faster to quantify and visualize using micro-CT. 3D information of both techniques is superior to 2D histology. UM and micro-CT together may open a new field of clinical pathology diagnosis.

Indexed as

Imaging, Three-DimensionalX-Ray MicrotomographyAnimalsBlood VesselsCollagenCoronary VesselsDrug CombinationsHumansHuman Umbilical Vein Endothelial CellsKidneyLamininMice, Inbred C57BLMicroscopyNeovascularization, PhysiologicPlaque, AtheroscleroticProteoglycansCollagenDrug CombinationsLamininmatrigelProteoglycansLight sheet fluorescence microscopyMicro-CTUltra microscopy

Identifiers

PMID29721067
PMCPMC5928875
OpenAlexW2792302880

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.