Literature DB >> 14975953

Using MRI to assess aortic wall thickness in the multiethnic study of atherosclerosis: distribution by race, sex, and age.

Arthur E Li1, Ihab Kamel, Felice Rando, Melissa Anderson, Basak Kumbasar, João A C Lima, David A Bluemke.   

Abstract

OBJECTIVE: Understanding the determinants of subclinical atherosclerosis may aid in elucidating the pathogenesis of atherosclerosis and guide prevention strategies. In this pilot study, we investigated the role of aortic wall thickness as a measure of subclinical atherosclerosis, assessed a method by which to measure aortic wall thickness using MRI, and attempted to define differences in aortic wall thickness by patient race, sex, and age. SUBJECTS AND METHODS. In this prospective study, 196 participants (99 black, 97 white; 98 men, 98 women) were selected from the Multiethnic Study of Atherosclerosis, which consists of participants 45-84 years old without clinical cardiovascular disease, who were recruited from six study centers in the United States. We performed fast spin-echo double inversion recovery MRI to measure thoracic aortic wall thickness. We tested interobserver agreement using the intraclass correlation coefficient, for sex and race differences in wall thickness using the Mann-Whitney test, and for associations between age and wall thickness using linear regression.
RESULTS: Reproducibility was excellent for measurements of average and maximal wall thickness on MRI. Average and maximal wall thickness increased with age (p < 0.001 and p = 0.002, respectively). Men had greater mean average wall thickness (2.32 vs 2.11 mm, p = 0.028) and mean maximal wall thickness (3.85 vs 3.31 mm, p = 0.010) than women. Blacks had greater mean maximal wall thickness than whites (3.74 vs 3.42 mm, p = 0.023).
CONCLUSION: MRI is a feasible method to measure aortic wall thickness with high interobserver agreement. Aortic wall thickness increases with age and also varies by race and sex.

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Year:  2004        PMID: 14975953     DOI: 10.2214/ajr.182.3.1820593

Source DB:  PubMed          Journal:  AJR Am J Roentgenol        ISSN: 0361-803X            Impact factor:   3.959


  31 in total

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5.  MRI-based determination of reference values of thoracic aortic wall thickness in a general population.

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Journal:  Eur Radiol       Date:  2014-10-15       Impact factor: 5.315

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8.  A class of analytic solutions for verification and convergence analysis of linear and nonlinear fluid-structure interaction algorithms.

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Journal:  Comput Methods Appl Mech Eng       Date:  2020-04-15       Impact factor: 6.756

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Authors:  Marina Cecelja; Benyu Jiang; Louise Keehn; Tarique Hussain; Miguel Silva Vieira; Alkystis Phinikaridou; Gerald Greil; Tim D Spector; Phil Chowienczyk
Journal:  Eur Heart J       Date:  2018-06-21       Impact factor: 29.983

10.  Aortic vessel wall magnetic resonance imaging at 3.0 Tesla: a reproducibility study of respiratory navigator gated free-breathing 3D black blood magnetic resonance imaging.

Authors:  Stijntje D Roes; Jos J M Westenberg; Joost Doornbos; Rob J van der Geest; Emmanuelle Angelié; Albert de Roos; Matthias Stuber
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