Assessment of proximal femur microarchitecture using ultra-high field MRI at 7 Tesla.

Autor: Guenoun D; Department of Radiology, Institute for Locomotion, Sainte-Marguerite Hospital, APHM, 13009 Marseille, France; CNRS, ISM, Institute Movement Sci, Aix-Marseille Université, 13000 Marseille, France. Electronic address: daphne.guenoun@ap-hm.fr., Pithioux M; CNRS, ISM, Institute Movement Sci, Aix-Marseille Université, 13000 Marseille, France., Souplet JC; CNRS, CRMBM UMR 7339, Aix-Marseille Université, 13385 Marseille, France., Guis S; CNRS, CRMBM UMR 7339, Department of Rheumatology, Aix-Marseille Université, AP-HM, 13000 Marseille, France., Le Corroller T; Department of Radiology, Institute for Locomotion, Sainte-Marguerite Hospital, APHM, 13009 Marseille, France; CNRS, ISM, Institute Movement Sci, Aix-Marseille Université, 13000 Marseille, France., Fouré A; CNRS, CRMBM UMR 7339, Aix-Marseille Université, 13385 Marseille, France., Pauly V; Unité de recherche EA3279, santé publique et maladies chroniques: qualité de vie concepts, usages et limites, déterminants, Aix-Marseille Université, 13005 Marseille, France; Service de santé publique et d'information médicale, Hôpital de la Conception, APHM, 13000 Marseille, France., Mattei JP; CNRS, CRMBM UMR 7339, Department of Rheumatology, Aix-Marseille Université, AP-HM, 13000 Marseille, France., Bernard M; CNRS, CRMBM UMR 7339, Aix-Marseille Université, 13385 Marseille, France., Guye M; CNRS, CRMBM UMR 7339, Aix-Marseille Université, 13385 Marseille, France., Chabrand P; CNRS, ISM, Institute Movement Sci, Aix-Marseille Université, 13000 Marseille, France., Champsaur P; Department of Radiology, Institute for Locomotion, Sainte-Marguerite Hospital, APHM, 13009 Marseille, France; CNRS, ISM, Institute Movement Sci, Aix-Marseille Université, 13000 Marseille, France., Bendahan D; CNRS, CRMBM UMR 7339, Aix-Marseille Université, 13385 Marseille, France.
Jazyk: angličtina
Zdroj: Diagnostic and interventional imaging [Diagn Interv Imaging] 2020 Jan; Vol. 101 (1), pp. 45-53. Date of Electronic Publication: 2019 Jul 19.
DOI: 10.1016/j.diii.2019.06.013
Abstrakt: Purpose: The purpose of this study was to investigate bone microarchitecture of cadaveric proximal femurs using ultra-high field (UHF) 7-Tesla magnetic resonance imaging (MRI) and to compare the corresponding metrics with failure load assessed during mechanical compression test and areal bone mineral density (ABMD) measured using dual-energy X-ray absorptiometry.
Materials and Methods: ABMD of ten proximal femurs from five cadavers (5 women; mean age=86.2±3.8 (SD) years; range: 82.5-90 years) were investigated using dual-energy X-ray absorptiometry and the bone volume fraction, trabecular thickness, trabecular spacing, fractal dimension, Euler characteristics, connectivity density and degree of anisotropy of each femur was quantified using UHF MRI. The whole set of specimens underwent mechanical compression tests to failure. The inter-rater reliability of microarchitecture characterization was assessed with the intraclass correlation coefficient (ICC). Associations were searched using correlation tests and multiple regression analysis.
Results: The inter-rater reliability for bone microarchitecture parameters measurement was good with ICC ranging from 0.80 and 0.91. ABMD and the whole set of microarchitecture metrics but connectivity density significantly correlated with failure load. Microarchitecture metrics correlated to each other but did not correlate with ABMD. Multiple regression analysis disclosed that the combination of microarchitecture metrics and ABMD improved the association with failure load.
Conclusion: Femur bone microarchitecture metrics quantified using UHF MRI significantly correlated with biomechanical parameters. The multimodal assessment of ABMD and trabecular bone microarchitecture using UHF MRI provides more information about fracture risk of femoral bone and might be of interest for future investigations of patients with undetected osteoporosis.
(Copyright © 2019 Société française de radiologie. Published by Elsevier Masson SAS. All rights reserved.)
Databáze: MEDLINE
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