2020
DOI: 10.1002/jmri.27403
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In Vivo Assessment of Age‐ and Loading Configuration‐Related Changes in Multiscale Mechanical Behavior of the Human Proximal Femur Using MRI‐Based Finite Element Analysis

Abstract: Background MRI‐based finite element analysis (MRI‐FEA) is the only method able to assess microstructural and whole‐bone mechanical properties of the hip in vivo. Purpose To examine whether MRI‐FEA is capable of discriminating age‐related changes in whole‐bone mechanical performance and micromechanical behavior of the proximal femur, particularly considering the most common hip fracture‐related sideways fall loading. Study Type Retrospective. Subjects A total of nine younger (27 ± 3.2 years) and nine elderly (6… Show more

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Cited by 6 publications
(1 citation statement)
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References 39 publications
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“…The pectoralis major and lattismus dorsi muscles were excluded due to their low relative engagement for the respective actions compared to the other muscles being modeled (Berthaume, 2014; Dorshorst, 2019; Woods et al, 2020), coupled with the difficulty of mapping these muscles due to requiring additional bone CT scans to accommodate the attachment sites for these muscles. This would greatly increase the difficulty of the modeling, as well as the risk for inaccuracies due to requiring manual positioning of elements (Krings, Marce-Nogue, Karabacak, Glaubrecht, & Gorb, 2020; Panagiotopoulou, 2009; Ruff et al, 2006; Zhang et al, 2021).…”
Section: Methodsmentioning
confidence: 99%
“…The pectoralis major and lattismus dorsi muscles were excluded due to their low relative engagement for the respective actions compared to the other muscles being modeled (Berthaume, 2014; Dorshorst, 2019; Woods et al, 2020), coupled with the difficulty of mapping these muscles due to requiring additional bone CT scans to accommodate the attachment sites for these muscles. This would greatly increase the difficulty of the modeling, as well as the risk for inaccuracies due to requiring manual positioning of elements (Krings, Marce-Nogue, Karabacak, Glaubrecht, & Gorb, 2020; Panagiotopoulou, 2009; Ruff et al, 2006; Zhang et al, 2021).…”
Section: Methodsmentioning
confidence: 99%