Cardiovascular morphometry with high-resolution 3D magnetic resonance: First application to left ventricle diastolic dysfunction.

Détails

ID Serval
serval:BIB_6AFF48E3E06C
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Titre
Cardiovascular morphometry with high-resolution 3D magnetic resonance: First application to left ventricle diastolic dysfunction.
Périodique
Medical engineering & physics
Auteur(s)
Gallo D., Vardoulis O., Monney P., Piccini D., Antiochos P., Schwitter J., Stergiopulos N., Morbiducci U.
ISSN
1873-4030 (Electronic)
ISSN-L
1350-4533
Statut éditorial
Publié
Date de publication
09/2017
Peer-reviewed
Oui
Volume
47
Pages
64-71
Langue
anglais
Notes
Publication types: Journal Article
Publication Status: ppublish
Résumé
In this study, an image-based morphometry toolset quantifying geometric descriptors of the left ventricle, aorta and their coupling is applied to investigate whether morphological information can differentiate between subjects affected by diastolic dysfunction (patient group) and their age-matched controls (control group). The ventriculo-aortic region of 20 total participants (10 per group) were segmented from high-resolution 3D magnetic resonance images, from the left ventricle to the descending aorta. Each geometry was divided into segments in correspondence of anatomical landmarks. The orientation of each segment was estimated by least-squares fitting of the respective centerline segment to a plane. Curvature and torsion of vessels' centerlines were automatically extracted, and aortic arch was characterized in terms of height and width. Tilt angle between subsequent best-fit planes in the left ventricle and ascending aorta regions, curvature and cross-sectional area in the descending aorta resulted significantly different between patient and control groups (P-values< 0.05). Aortic volume (P = 0.04) and aortic arch width (P = 0.03) resulted significantly different between the two groups. The observed morphometric differences underlie differences in hemodynamics, by virtue of the influence of geometry on blood flow patterns. The present exploratory analysis does not determine if aortic geometric changes precede diastolic dysfunction, or vice versa. However, this study (1) underlines differences between healthy and diastolic dysfunction subjects, and (2) provides geometric parameters that might help to determine early aortic geometric alterations and potentially prevent evolution toward advanced diastolic dysfunction.

Mots-clé
Adult, Aged, Aged, 80 and over, Female, Heart Ventricles/diagnostic imaging, Heart Ventricles/pathology, Humans, Image Enhancement/methods, Image Interpretation, Computer-Assisted/methods, Imaging, Three-Dimensional/methods, Magnetic Resonance Imaging/methods, Male, Middle Aged, Pilot Projects, Reproducibility of Results, Sensitivity and Specificity, Ventricular Dysfunction, Left/diagnostic imaging, Ventricular Dysfunction, Left/pathology, Curvature, Geometric risk, Thoracic aorta, Torsion, Vascular geometry
Pubmed
Web of science
Création de la notice
06/07/2017 17:59
Dernière modification de la notice
20/08/2019 15:25
Données d'usage