Evidence map›Paper›PMID 28808955›Full record

Observational studyJournal of cardiovascular translational research2017

Exploring the Biological and Mechanical Properties of Abdominal Aortic Aneurysms Using USPIO MRI and Peak Tissue Stress: A Combined Clinical and Finite Element Study.

Noel Conlisk, Rachael O Forsythe, Lyam Hollis, Barry J Doyle, Olivia M B McBride, Jennifer M J Robson, Chengjia Wang, Calum D Gray, Scott I K Semple, Tom MacGillivray and 3 more

Open access · hybridAbstract readMulticenter StudyObservational Study
In one paragraph

Observational study in Journal of cardiovascular translational research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.2field-weighted citation impact, top 19% 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

8 citing papers in PubMed, 12 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Review
  5. Article
  6. Article
  7. Article
  8. Abdominal aortic aneurysms.Nature reviews. Disease primers · 2018
    Review
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

13 authors at 2 institutions in 2 countries.

Noel ConliskCentre for Cardiovascular Science, The University of Edinburgh, Edinburgh, UK. noel.conlisk@ed.ac.uk.ORCID http://orcid.org/0000-0002-0465-6213
Rachael O ForsytheCentre for Cardiovascular Science, The University of Edinburgh, Edinburgh, UK.
Lyam HollisCentre for Cardiovascular Science, The University of Edinburgh, Edinburgh, UK.
Barry J DoyleCentre for Cardiovascular Science, The University of Edinburgh, Edinburgh, UK.
Olivia M B McBrideCentre for Cardiovascular Science, The University of Edinburgh, Edinburgh, UK.
Jennifer M J RobsonCentre for Cardiovascular Science, The University of Edinburgh, Edinburgh, UK.
Chengjia WangCentre for Cardiovascular Science, The University of Edinburgh, Edinburgh, UK.
Calum D GrayClinical Research Imaging Centre, The University of Edinburgh, Edinburgh, UK.
Scott I K SempleCentre for Cardiovascular Science, The University of Edinburgh, Edinburgh, UK.
Tom MacGillivrayCentre for Cardiovascular Science, The University of Edinburgh, Edinburgh, UK.
Edwin J R van BeekCentre for Cardiovascular Science, The University of Edinburgh, Edinburgh, UK.
David E NewbyCentre for Cardiovascular Science, The University of Edinburgh, Edinburgh, UK.
Peter R HoskinsCentre for Cardiovascular Science, The University of Edinburgh, Edinburgh, UK.
University of Edinburgh · GBThe University of Western Australia · AU

Funding

Efficacy and Mechanism Evaluation Programme NIHR EME 11/20/03Medical Research Council G0701127Medical Research Council MC_PC_12040
6 · The paper itself

Abstract

Inflammation detected through the uptake of ultrasmall superparamagnetic particles of iron oxide (USPIO) on magnetic resonance imaging (MRI) and finite element (FE) modelling of tissue stress both hold potential in the assessment of abdominal aortic aneurysm (AAA) rupture risk. This study aimed to examine the spatial relationship between these two biomarkers. Patients (n = 50) > 40 years with AAA maximum diameters > = 40 mm underwent USPIO-enhanced MRI and computed tomography angiogram (CTA). USPIO uptake was compared with wall stress predictions from CTA-based patient-specific FE models of each aneurysm. Elevated stress was commonly observed in areas vulnerable to rupture (e.g. posterior wall and shoulder). Only 16% of aneurysms exhibited co-localisation of elevated stress and mural USPIO enhancement. Globally, no correlation was observed between stress and other measures of USPIO uptake (i.e. mean or peak). It is suggested that cellular inflammation and stress may represent different but complimentary aspects of AAA disease progression.

Indexed as

Finite Element AnalysisMagnetic Resonance ImagingModels, CardiovascularPatient-Specific ModelingAgedAged, 80 and overAorta, AbdominalAortic Aneurysm, AbdominalAortic RuptureAortitisAortographyComputed Tomography AngiographyContrast MediaDextransDilatation, PathologicDisease ProgressionContrast MediaDextransferumoxtran-10Magnetite NanoparticlesAbdominal aortic aneurysmsFinite element analysisMRIPatient-specific modellingUSPIO uptake

Identifiers

PMID28808955
PMCPMC5722953
OpenAlexW2748889781

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.