Evidence map›Paper›PMID 34617054›Full record

ArticleJVS-vascular science2021

A versatile technique for high-resolution three-dimensional imaging of human arterial segments using microcomputed tomography.

Scott T Robinson, Ruth E Levey, Rachel Beatty, David Connolly, Eimear B Dolan, Nicholas H Osborne, Peter Dockery, Peter K Henke, Garry P Duffy

Open access · goldAbstract read
In one paragraph

Article in JVS-vascular science, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.3field-weighted citation impact, top 48% 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

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. 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

9 authors at 4 institutions in 2 countries.

Scott T RobinsonAnatomy & Regenerative Medicine Institute (REMEDI), School of Medicine, College of Medicine Nursing and Health Sciences, National University of Ireland, Galway, Ireland.
Ruth E LeveyAnatomy & Regenerative Medicine Institute (REMEDI), School of Medicine, College of Medicine Nursing and Health Sciences, National University of Ireland, Galway, Ireland.
Rachel BeattyAnatomy & Regenerative Medicine Institute (REMEDI), School of Medicine, College of Medicine Nursing and Health Sciences, National University of Ireland, Galway, Ireland.
David ConnollyDepartment of Biomedical Engineering, School of Engineering, College of Science and Engineering, Galway, Ireland.
Eimear B DolanDepartment of Biomedical Engineering, School of Engineering, College of Science and Engineering, Galway, Ireland.
Nicholas H OsborneDivision of Vascular Surgery, Department of Surgery, University of Michigan, Ann Arbor, Mich.
Peter DockeryAnatomy & Regenerative Medicine Institute (REMEDI), School of Medicine, College of Medicine Nursing and Health Sciences, National University of Ireland, Galway, Ireland.
Peter K HenkeDivision of Vascular Surgery, Department of Surgery, University of Michigan, Ann Arbor, Mich.
Garry P DuffyAnatomy & Regenerative Medicine Institute (REMEDI), School of Medicine, College of Medicine Nursing and Health Sciences, National University of Ireland, Galway, Ireland.
Ollscoil na Gaillimhe – University of Galway · IETrinity College Dublin · IEUniversity of Michigan · USAdvanced Materials and BioEngineering Research · IE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundQuantitative methods for evaluating microstructure of arterial specimens typically rely on histologic techniques that involve random sampling, which cannot account for the unique spatial distribution of features in three dimensions.

methodsTo overcome this limitation, we demonstrate a nondestructive method for three-dimensional imaging of intact human blood vessels using microcomputed tomography (microCT). Human artery segments were dehydrated and stained in an iodine solution then imaged with a standard laboratory microCT scanner. Image visualization and segmentation was performed using commercially available and open source software.

resultsStaining of cadaveric vessels with iodine enabled clear visualization of the arterial wall with microCT, preserved tissue morphology, and generated high-resolution images with a voxel size of 5.4 μm. Various components of the arterial wall were segmented using a combination of manual and automatic thresholding algorithms.

conclusionsOur approach allows for spatial mapping of human artery tissue samples that can guide targeted histologic analysis of smaller tissue segments, provide geometric data to inform finite element models, quantify degree of atherosclerosis, and help to evaluate the foreign body response to intravascular medical implants. (JVS-Vascular Science 2020;2:13-19.). CLINICAL RELEVANCE: In this article, we describe a powerful technique for whole artery analysis of pathologic human tissue specimens that provides high-resolution spatial detail regarding composition of the blood vessel wall. The protocol described here is a valuable adjunct that can be used as a research tool to inform finite element modeling of arteries, quantify pathologic response (ie, neointimal hyperplasia and vascular calcification), and evaluate the tissue/device interface of implanted medical devices.

Indexed as

Arterial histologyMicroCTSoft tissue imagingVirtual histology

Identifiers

PMID34617054
PMCPMC8489243
OpenAlexW3082109851

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.