Evidence map›Paper›PMID 31037092›Full record

ArticleUltrasound (Leeds, England)2019

A preclinical ultrasound method for the assessment of vascular disease progression in murine models.

Justyna Janus, Baris Kanber, Wadhah Mahbuba, Charlotte Beynon, Kumar V Ramnarine, David G Lambert, Nilesh J Samani, Emma J Stringer, Michael E Kelly

Open access · greenAbstract read
In one paragraph

Article in Ultrasound (Leeds, England), 2019. 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
0.2field-weighted citation impact, top 43% 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, 5 citations in OpenAlex.

  1. Mouse Cardiovascular Imaging.Current protocols · 2024
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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

9 authors at 4 institutions in 2 countries.

Justyna JanusPreclinical Imaging Facility, Core Biotechnology Services, University of Leicester, Leicester, UK.
Baris KanberTranslational Imaging Group, Department of Medical Physics and Bioengineering, University College London, London, UK.
Wadhah MahbubaDepartment of Surgery, University of Kufa, Kufa, Iraq.
Charlotte BeynonDepartment of Cardiovascular Sciences, University of Leicester, Leicester, UK.
Kumar V RamnarineDepartment of Medical Physics, University Hospitals of Leicester Trust, Leicester, UK.
David G LambertDepartment of Cardiovascular Sciences, University of Leicester, Leicester, UK.
Nilesh J SamaniDepartment of Cardiovascular Sciences, University of Leicester, Leicester, UK.
Emma J StringerDepartment of Cardiovascular Sciences, University of Leicester, Leicester, UK.
Michael E KellyPreclinical Imaging Facility, Core Biotechnology Services, University of Leicester, Leicester, UK.
University of Leicester · GBUniversity College London · GBUniversity Hospitals of Leicester NHS Trust · GBUniversity of Kufa · IQ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe efficacy of preclinical ultrasound at providing a quantitative assessment of mouse models of vascular disease is relatively unknown. In this study, preclinical ultrasound was used in combination with a semi-automatic image processing method to track arterial distension alterations in mouse models of abdominal aortic aneurysm and atherosclerosis.

methodsLongitudinal B-mode ultrasound images of the abdominal aorta were acquired using a preclinical ultrasound scanner. Arterial distension was assessed using a semi-automatic image processing algorithm to track vessel wall motion over the cardiac cycle. A standard, manual analysis method was applied for comparison.

resultsMean arterial distension was significantly lower in abdominal aortic aneurysm mice between day 0 and day 7 post-onset of disease (p < 0.01) and between day 0 and day 14 (p < 0.001), while no difference was observed in sham control mice. Manual analysis detected a significant decrease (p < 0.05) between day 0 and day 14 only. Atherosclerotic mice showed alterations in arterial distension relating to genetic modification and diet. Arterial distension was significantly lower (p < 0.05) in Ldlr

conclusionsArterial distension can be used as an early marker for the detection of arterial disease in murine models. The semi-automatic analysis method provided increased sensitivity to differences between experimental groups when compared to the manual analysis method.

Indexed as

animal modelsdiagnostic imaginghigh-frequency ultrasoundin vivoVessel wall-motion

Identifiers

PMID31037092
PMCPMC6475974
OpenAlexW2887452441

What OpenQuestion holds

Textmetadata
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.