Quantitative Load Dependency Analysis of Local Trabecular Bone Microstructure to Understand the Spatial Characteristics in the Synthetic Proximal Femur

Analysis of the dependency of the trabecular structure on loading conditions is essential for understanding and predicting bone structure formation. Although previous studies have investigated the relationship between loads and structural adaptations, there is a need for an in-depth analysis of this...

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Bibliographic Details
Published in:Biology (Basel, Switzerland) Switzerland), 2023-01, Vol.12 (2), p.170
Main Authors: Kim, Jisun, Chun, Bong Ju, Kim, Jung Jin
Format: Article
Language:English
Subjects:
Adaptability
Adaptation
Bone growth
bone remodeling
Bones
Cancellous bone
Epiphysis
Femur
Load
load dependency analysis
Mechanical loading
Metaphysis
Methods
Microstructure
Morphology
Optimization
Osteoporosis
proximal femur
Quantitative analysis
region of interest
Statistical analysis
strain energy density
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Summary:Analysis of the dependency of the trabecular structure on loading conditions is essential for understanding and predicting bone structure formation. Although previous studies have investigated the relationship between loads and structural adaptations, there is a need for an in-depth analysis of this relationship based on the bone region and load specifics. In this study, the load dependency of the trabecular bone microstructure for twelve regions of interest (ROIs) in the synthetic proximal femur was quantitatively analyzed to understand the spatial characteristics under seven different loading conditions. To investigate the load dependency, a quantitative measure, called the load dependency score (LDS), was established based on the statistics of the strain energy density (SED) distribution. The results showed that for the global model and epiphysis ROIs, bone microstructures relied on the multiple-loading condition, whereas the structures in the metaphysis depended on single or double loads. These results demonstrate that a given ROI is predominantly dependent on a particular loading condition. The results confirm that the dependency analysis of the load effects for ROIs should be performed both qualitatively and quantitatively.
ISSN:2079-7737
2079-7737
DOI:10.3390/biology12020170