4D flow MRI aortic cross-sectional pressure changes and their associations with flow patterns in health and aneurysm.

4D flow MRI aortic pressure ascending thoracic aortic aneurysms remodelling vorticity wall shear stress

Journal

Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance
ISSN: 1532-429X
Titre abrégé: J Cardiovasc Magn Reson
Pays: England
ID NLM: 9815616

Informations de publication

Date de publication:
23 Feb 2024
Historique:
received: 01 12 2023
accepted: 20 02 2024
medline: 26 2 2024
pubmed: 26 2 2024
entrez: 25 2 2024
Statut: aheadofprint

Résumé

Ascending thoracic aortic aneurysm (ATAA) is a silent and threatening dilation of the ascending aorta (AscAo). Maximal aortic diameter which is currently used for ATAA patients management and surgery planning has been shown to inadequately characterize risk of dissection in a large proportion of patients. Our aim was to propose a comprehensive quantitative evaluation of aortic morphology and pressure-flow-wall associations from 4D flow MRI data in healthy aging and in patients with ATAA. We studied 17 ATAA patients (64.7±14.3 years, 5 females) along with 17 age- and sex-matched healthy controls (59.7±13.3 years, 5 females) and 13 younger healthy subjects (33.5±11.1 years, 4 females). All subjects underwent an MRI exam including 4D flow and 3D anatomical images of the aorta. This latter dataset was used for aortic morphology measurements including AscAo maximal diameter (iD Consistency of flow and pressure indices was demonstrated through their significant associations with AscAo iD Local variations in pressures within ascending aortic cross-sections derived from 4D flow MRI were associated with flow changes, as quantified by vorticity, and with stress exerted by blood on the aortic wall, as quantified by wall shear stress. Such flow-wall and pressure interactions might help for the identification of at-risk patients.

Sections du résumé

BACKGROUND BACKGROUND
Ascending thoracic aortic aneurysm (ATAA) is a silent and threatening dilation of the ascending aorta (AscAo). Maximal aortic diameter which is currently used for ATAA patients management and surgery planning has been shown to inadequately characterize risk of dissection in a large proportion of patients. Our aim was to propose a comprehensive quantitative evaluation of aortic morphology and pressure-flow-wall associations from 4D flow MRI data in healthy aging and in patients with ATAA.
METHODS METHODS
We studied 17 ATAA patients (64.7±14.3 years, 5 females) along with 17 age- and sex-matched healthy controls (59.7±13.3 years, 5 females) and 13 younger healthy subjects (33.5±11.1 years, 4 females). All subjects underwent an MRI exam including 4D flow and 3D anatomical images of the aorta. This latter dataset was used for aortic morphology measurements including AscAo maximal diameter (iD
RESULTS RESULTS
Consistency of flow and pressure indices was demonstrated through their significant associations with AscAo iD
CONCLUSION CONCLUSIONS
Local variations in pressures within ascending aortic cross-sections derived from 4D flow MRI were associated with flow changes, as quantified by vorticity, and with stress exerted by blood on the aortic wall, as quantified by wall shear stress. Such flow-wall and pressure interactions might help for the identification of at-risk patients.

Identifiants

pubmed: 38403074
pii: S1097-6647(24)01021-4
doi: 10.1016/j.jocmr.2024.101030
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

101030

Informations de copyright

Copyright © 2024 The Authors. Published by Elsevier Inc. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest The authors declare the following financial interests/personal relationships which may be considered as potential competing interests Nadjia Kachenoura reports financial support was provided by Fondation pour la recherche Médicale. Sophia Houriez–Gombaud-Saintonge reports a relationship with ESME Sudria that includes: employment. Nadjia Kachenoura reports a relationship with ECOS SUD that includes: funding grants. If there are other authors, they declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Kevin Bouaou (K)

Sorbonne Université, INSERM, CNRS, Laboratoire d'Imagerie Biomédicale, Paris, France. Electronic address: kevin.bouaou@gmail.com.

Thomas Dietenbeck (T)

Sorbonne Université, INSERM, CNRS, Laboratoire d'Imagerie Biomédicale, Paris, France. Electronic address: thomas.dietenbeck@sorbonne-universite.fr.

Gilles Soulat (G)

Hôpital Européen Georges Pompidou, INSERM 970, Paris, France. Electronic address: gilles.soulat@aphp.fr.

Ioannis Bargiotas (I)

CMLA, ENS Cachan, CNRS, Université Paris-Saclay, 94235 Cachan, France. Electronic address: ioannisbargiotas@gmail.com.

Sophia Houriez-Gombaud-Saintonge (S)

Sorbonne Université, INSERM, CNRS, Laboratoire d'Imagerie Biomédicale, Paris, France; ESME Sudria Research Lab, Paris, France. Electronic address: sophia.houriezgombaudsaintonge@gmail.com.

Alain De Cesare (A)

Sorbonne Université, INSERM, CNRS, Laboratoire d'Imagerie Biomédicale, Paris, France. Electronic address: alain.decesare@lib.upmc.fr.

Umit Gencer (U)

Hôpital Européen Georges Pompidou, INSERM 970, Paris, France. Electronic address: umit.gencer-ext@aphp.fr.

Alain Giron (A)

Sorbonne Université, INSERM, CNRS, Laboratoire d'Imagerie Biomédicale, Paris, France. Electronic address: alain.giron@inserm.fr.

Elena Jiménez (E)

Sorbonne Université, INSERM, CNRS, Laboratoire d'Imagerie Biomédicale, Paris, France. Electronic address: elen.jimenez.sanchez@gmail.com.

Emmanuel Messas (E)

Hôpital Européen Georges Pompidou, INSERM 970, Paris, France. Electronic address: emmanuel.messas@aphp.fr.

Didier Lucor (D)

LIMSI, CNRS, Université Paris-Saclay, Orsay, France. Electronic address: didier.lucor@limsi.fr.

Emilie Bollache (E)

Sorbonne Université, INSERM, CNRS, Laboratoire d'Imagerie Biomédicale, Paris, France. Electronic address: emilie.bollache@inserm.fr.

Elie Mousseaux (E)

Hôpital Européen Georges Pompidou, INSERM 970, Paris, France. Electronic address: elie.mousseaux@aphp.fr.

Nadjia Kachenoura (N)

Sorbonne Université, INSERM, CNRS, Laboratoire d'Imagerie Biomédicale, Paris, France. Electronic address: nadjia.kachenoura@inserm.fr.

Classifications MeSH