Evidence map›Paper›PMID 36172867›Full record

ArticleArteriosclerosis, thrombosis, and vascular biology2022

Ex Vivo Study Using Diffusion Tensor Imaging to Identify Biomarkers of Atherosclerotic Disease in Human Cadaveric Carotid Arteries.

Brooke Tornifoglio, Alan J Stone, Christian Kerskens, Caitríona Lally

Open access · bronzeAbstract read
In one paragraph

Article in Arteriosclerosis, thrombosis, and vascular biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.7field-weighted citation impact, top 15% 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

4 citing papers in PubMed, 11 citations in OpenAlex.

  1. 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

4 authors at 2 institutions in 2 countries.

Brooke TornifoglioTrinity Centre for Biomedical Engineering, Trinity Biomedical Sciences Institute (B.T., A.J.S., C.K., C.L.), Ireland.ORCID 0000-0002-4359-9012
Alan J StoneTrinity Centre for Biomedical Engineering, Trinity Biomedical Sciences Institute (B.T., A.J.S., C.K., C.L.), Ireland.
Christian KerskensTrinity Centre for Biomedical Engineering, Trinity Biomedical Sciences Institute (B.T., A.J.S., C.K., C.L.), Ireland.
Caitríona LallyTrinity Centre for Biomedical Engineering, Trinity Biomedical Sciences Institute (B.T., A.J.S., C.K., C.L.), Ireland.ORCID 0000-0003-4141-1685
University College Dublin · IETrinity College · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study aims to address the potential of ex vivo diffusion tensor imaging to provide insight into the microstructural composition and morphological arrangement of aged human atherosclerotic carotid arteries.

methodsIn this study, whole human carotid arteries were investigated both anatomically and by comparing healthy and diseased regions. Nonrigid image registration was used with unsupervised segmentation to investigate the influence of elastin, collagen, cell density, glycosaminoglycans, and calcium on diffusion tensor imaging derived metrics (fractional anisotropy and mean diffusivity). Early stage atherosclerotic features were also investigated in terms of microstructural components and diffusion tensor imaging metrics.

resultsAll vessels displayed a dramatic decrease in fractional anisotropy compared with healthy animal arterial tissue, while the mean diffusivity was sensitive to regions of advanced disease. Elastin content strongly correlated with both fractional anisotropy (r>0.7,

conclusionsThese different investigations point to the potential of diffusion tensor imaging to identify characteristics of arterial disease progression, at early and late-stage lesion development.

Indexed as

Diffusion Tensor ImagingElastinAgedAnimalsBiomarkersCadaverCalciumCarotid ArteriesGlycosaminoglycansHumansBiomarkersCalciumElastinGlycosaminoglycansatherosclerosiscarotid arterydiffusion tensor imagingmicrostructuresmooth muscle cells

Identifiers

PMID36172867
PMCPMC9592180
OpenAlexW4297965300

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.