Evidence map›Paper›PMID 31522679›Full record

ArticleJournal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance2019

Assessment of the regional distribution of normalized circumferential strain in the thoracic and abdominal aorta using DENSE cardiovascular magnetic resonance.

John S Wilson, W Robert Taylor, John Oshinski

Abstract read
In one paragraph

Article in Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

18 citing papers in PubMed.

  1. Ultrasound strain mapping of the non-aneurysmal abdominal aorta for detecting age-related aortic stiffening.International journal of cardiology. Cardiovascular risk and prevention · 2026
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  11. An image-based approach for the estimation of arterial local stiffnessFrontiers in bioengineering and biotechnology · 2023
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  17. Rapid ascending aorta stiffening in bicuspid aortic valve on serial cardiovascular magnetic resonance evaluation: comparison with connective tissue disorders.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2021
    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

3 authors.

John S WilsonDepartment of Biomedical Engineering and Pauley Heart Center, Virginia Commonwealth University, P.O. Box 980335, Richmond, VA, USA. jswilson3@vcu.edu.ORCID 0000-0001-5406-1261
W Robert TaylorDepartment of Biomedical Engineering, Emory University and Georgia Institute of Technology, Atlanta, GA, USA.
John OshinskiDepartment of Radiology and Imaging Sciences, Emory University School of Medicine, Atlanta, GA, USA.

Funding

Research Trainng in Academic CardiologyT32HL007745 · NHLBI · EMORY UNIVERSITY · PI TAYLOR, WILLIAM ROBERT · 1994 to 2023
$10.6M
Upgrading a 3T MRI Scanner for Shared Research at Emory UniversityS10OD016413 · OD · EMORY UNIVERSITY · PI HU, XIAOPING P · 2013 to 2013
$495k
NHLBI NIH HHS T32HL007745NIH HHS S10 OD016413
6 · The paper itself

Abstract

backgroundDisplacement Encoding with Stimulated Echoes (DENSE) cardiovascular magnetic resonance (CMR) of the aortic wall offers the potential to improve patient-specific diagnostics and prognostics of diverse aortopathies by quantifying regionally heterogeneous aortic wall strain in vivo. However, before regional mapping of strain can be used to clinically assess aortic pathology, an evaluation of the natural variation of normal regional aortic kinematics is required.

methodAortic spiral cine DENSE CMR was performed at 3 T in 30 healthy adult subjects (range 18 to 65 years) at one or more axial locations that are at high risk for aortic aneurysm or dissection: the infrarenal abdominal aorta (IAA, n = 11), mid-descending thoracic aorta (DTA, n = 17), and/or distal aortic arch (DAA, n = 11). After implementing custom noise-reduction techniques, regional circumferential Green strain of the aortic wall was calculated across 16 sectors around the aortic circumference at each location and normalized by the mean circumferential strain for comparison between individuals.

resultsThe distribution of normalized circumferential strain (NCS) was heterogeneous for all locations evaluated. Despite large differences in mean strain between subjects, comparisons of NCS revealed consistent patterns of strain distribution for similar groupings of patients by axial location, age, and/or mean displacement angle. NCS at local systole was greatest in the lateral/posterolateral walls in the IAAs (1.47 ± 0.27), medial wall in anteriorly displacing DTAs (1.28 ± 0.20), lateral wall in posteriorly displacing DTAs (1.29 ± 0.29), superior curvature in DAAs < 50 years-old (1.93 ± 0.22), and medial wall in DAAs > 50 years (2.29 ± 0.58). The distribution of strain was strongly influenced by the location of the vertebra and other surrounding structures unique to each location.

conclusionsRegional in vivo circumferential strain in the adult aorta is unique to each axial location and heterogeneous around its circumference, but can be grouped into consistent patterns defined by basic patient-specific metrics following normalization. The heterogeneous strain distributions unique to each group may be due to local peri-aortic constraints (particularly at the aorto-vertebral interface), heterogeneous material properties, and/or heterogeneous flow patterns. These results must be carefully considered in future studies seeking to clinically interpret or computationally model patient-specific aortic kinematics.

Indexed as

Magnetic Resonance AngiographyMagnetic Resonance Imaging, CinePatient-Specific ModelingAdolescentAdultAgedAorta, AbdominalAorta, ThoracicAortic Aneurysm, AbdominalAortic Aneurysm, ThoracicBiomechanical PhenomenaFemaleHealthy VolunteersHumansMaleMiddle AgedAortic mechanicsCardiovascular magnetic resonance imagingDENSE MRIStrain distribution

Identifiers

PMID31522679
PMCPMC6745772

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Registered trials

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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.