Publications by authors named "M Gardegaront"
Article Synopsis
- - The study addresses the need for reliable methods to predict the risk of fractures in patients with femoral metastases, highlighting the limitations of current clinical tools and the potential of CT-scan-based finite element analysis for better predictions.
- - Researchers assessed the reproducibility of a promising model developed in Belgium by comparing it to an independently reproduced model in France, confirming a strong correlation but noting the reproduced model consistently predicts higher failure loads.
- - The evaluation of the model's application on different datasets showed decreased accuracy in predictions, while the global sensitivity analysis revealed significant factors affecting results, especially the influence of the density calibration coefficient.
Article Synopsis
- * Manual segmentation is often tedious and can vary between experts, prompting the use of deep learning techniques to automate the process even when data is limited.
- * The study develops a specialized pipeline using U-Net architectures for segmenting human femurs and vertebrae, showing that automated segmentation yields results comparable to manual methods in failure load simulations, highlighting its potential effectiveness.
A credible homogenized finite element model to predict radius fracture in the case of a forward fall.
J Mech Behav Biomed Mater
July 2022
Fragility fractures that occur after a fall from a standing height or less are almost always due to osteoporosis, which remains underdiagnosed and untreated. Patient-specific finite element (FE) models have been introduced to predict bone strength and strain. This approach, based on structure mechanics, is derived from Quantitative Computed Tomography (QCT), and element mechanical properties are computed from bone mineral densities.
View Article and Find Full Text PDFBone quality is altered mainly by osteoporosis, which is treated with modulators of bone quality. Knowledge of their mechanisms of action is crucial to understand their effects on bone quality. The goal of our study was to compare the action of alendronate (ALN) and strontium ranelate (SrRan) on the determinants of bone quality.
View Article and Find Full Text PDFA finite element analysis based on Micro-Quantitative Computed Tomography (µQCT) is a method with high potential to improve fracture risk prediction. However, the segmentation process and model generation are generally not automatized in their entirety. Even with a rigorous protocol, the operator might add uncertainties during the creation of the model.
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