Analysis of aortic pressure fields from 4D flow MRI in healthy volunteers: Associations with age and left ventricular remodeling.


Journal

Journal of magnetic resonance imaging : JMRI
ISSN: 1522-2586
Titre abrégé: J Magn Reson Imaging
Pays: United States
ID NLM: 9105850

Informations de publication

Date de publication:
09 2019
Historique:
received: 12 11 2018
revised: 16 01 2019
accepted: 16 01 2019
pubmed: 5 2 2019
medline: 22 10 2020
entrez: 5 2 2019
Statut: ppublish

Résumé

Aging-related arterial stiffness is associated with substantial changes in global and local arterial pressures. The subsequent early return of reflected pressure waves leads to an elevated left ventricular (LV) afterload and ultimately to a deleterious concentric LV remodeling. To compute aortic time-resolved pressure fields of healthy subjects from 4D flow MRI and to define relevant pressure-based markers while investigating their relationship with age, LV remodeling, as well as tonometric augmentation index (AIx) and pulse wave velocity (PWV). Retrospective. Forty-seven healthy subjects (age: 49.5 ± 18 years, 24 women). 3 T/4D flow MRI. Spatiotemporal pressure fields were computed by integrating velocity-derived pressure gradients using Navier-Stokes equations, while assuming zero pressure at the sino-tubular junction. To quantify aortic pressure spatiotemporal variations, we defined the following markers: 1) volumetric aortic pressure propagation rates ΔP Linear regression, Wilcoxon rank sum test, Bland-Altman analysis, and intraclass correlation coefficients (ICC). Spatiotemporal variations of aortic pressure peaks were moderately to highly reproducible (ICC ≥0.50) and decreased significantly with age, in terms of absolute magnitude: ΔP 4D flow MRI relative aortic pressures were consistent with physiological knowledge as demonstrated by their significant volumetric and temporal variations with age and their independent association with LV remodeling and augmentation index. Level of Evidence 2 Technical Efficacy Stage 3 J. Magn. Reson. Imaging 2019;50:982-993.

Sections du résumé

BACKGROUND
Aging-related arterial stiffness is associated with substantial changes in global and local arterial pressures. The subsequent early return of reflected pressure waves leads to an elevated left ventricular (LV) afterload and ultimately to a deleterious concentric LV remodeling.
PURPOSE
To compute aortic time-resolved pressure fields of healthy subjects from 4D flow MRI and to define relevant pressure-based markers while investigating their relationship with age, LV remodeling, as well as tonometric augmentation index (AIx) and pulse wave velocity (PWV).
STUDY TYPE
Retrospective.
POPULATION
Forty-seven healthy subjects (age: 49.5 ± 18 years, 24 women).
FIELD STRENGTH/SEQUENCE
3 T/4D flow MRI.
ASSESSMENT
Spatiotemporal pressure fields were computed by integrating velocity-derived pressure gradients using Navier-Stokes equations, while assuming zero pressure at the sino-tubular junction. To quantify aortic pressure spatiotemporal variations, we defined the following markers: 1) volumetric aortic pressure propagation rates ΔP
STATISTICAL TESTS
Linear regression, Wilcoxon rank sum test, Bland-Altman analysis, and intraclass correlation coefficients (ICC).
RESULTS
Spatiotemporal variations of aortic pressure peaks were moderately to highly reproducible (ICC ≥0.50) and decreased significantly with age, in terms of absolute magnitude: ΔP
DATA CONCLUSION
4D flow MRI relative aortic pressures were consistent with physiological knowledge as demonstrated by their significant volumetric and temporal variations with age and their independent association with LV remodeling and augmentation index. Level of Evidence 2 Technical Efficacy Stage 3 J. Magn. Reson. Imaging 2019;50:982-993.

Identifiants

pubmed: 30714258
doi: 10.1002/jmri.26673
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

982-993

Informations de copyright

© 2019 International Society for Magnetic Resonance in Medicine.

Auteurs

Kevin Bouaou (K)

Sorbonne Université, INSERM, CNRS, Laboratoire d'Imagerie Biomédicale, Paris, France.
Institute of Cardiometabolism and Nutrition (ICAN), Paris, France.

Ioannis Bargiotas (I)

CMLA, ENS Cachan, CNRS, Université Paris-Saclay, Cachan, France.

Thomas Dietenbeck (T)

Sorbonne Université, INSERM, CNRS, Laboratoire d'Imagerie Biomédicale, Paris, France.
Institute of Cardiometabolism and Nutrition (ICAN), Paris, France.

Emilie Bollache (E)

Sorbonne Université, INSERM, CNRS, Laboratoire d'Imagerie Biomédicale, Paris, France.
Institute of Cardiometabolism and Nutrition (ICAN), Paris, France.

Gilles Soulat (G)

Hôpital Européen Georges Pompidou, INSERM 970, Paris, France.

Damian Craiem (D)

Universidad Favaloro-CONICET, IMeTTyB, Buenos Aires, Argentina.

Sophia Houriez-Gombaud-Saintonge (S)

Sorbonne Université, INSERM, CNRS, Laboratoire d'Imagerie Biomédicale, Paris, France.
Institute of Cardiometabolism and Nutrition (ICAN), Paris, France.
ESME Sudria Research Lab, Paris, France.

Alain De Cesare (A)

Sorbonne Université, INSERM, CNRS, Laboratoire d'Imagerie Biomédicale, Paris, France.
Institute of Cardiometabolism and Nutrition (ICAN), Paris, France.

Umit Gencer (U)

Hôpital Européen Georges Pompidou, INSERM 970, Paris, France.

Alain Giron (A)

Sorbonne Université, INSERM, CNRS, Laboratoire d'Imagerie Biomédicale, Paris, France.
Institute of Cardiometabolism and Nutrition (ICAN), Paris, France.

Alban Redheuil (A)

Sorbonne Université, INSERM, CNRS, Laboratoire d'Imagerie Biomédicale, Paris, France.
Institute of Cardiometabolism and Nutrition (ICAN), Paris, France.

Emmanuel Messas (E)

Hôpital Européen Georges Pompidou, INSERM 970, Paris, France.

Didier Lucor (D)

LIMSI, CNRS, Université Paris-Saclay, Orsay, France.

Elie Mousseaux (E)

Hôpital Européen Georges Pompidou, INSERM 970, Paris, France.

Nadjia Kachenoura (N)

Sorbonne Université, INSERM, CNRS, Laboratoire d'Imagerie Biomédicale, Paris, France.
Institute of Cardiometabolism and Nutrition (ICAN), Paris, France.

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