Towards clinical application of biomechanical tools for the prediction of fracture risk in metastatic bone disease

Derikx, L.C.; Tanck, E.

doi:10.1016/j.jbiomech.2014.12.017

Cited by 19 publications

(13 citation statements)

References 47 publications

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“…With these models, one can simulate the behavior of the bone under different loading conditions and estimate the load that is required to cause the fracture of the bone, i.e. the fracture load, as an indicator of bone strength (for example, a large fracture load is an indication of high strength) 9,10,11,12,13,14,15 . These models are expected to play an important role in orthopedics for in silico personalized selection of boneimplant configurations that increase the strength/stability of the bones 16,17,18,19 .…”

Section: Introductionmentioning

confidence: 99%

Patient-Specific Biomechanical Modeling of Bone Strength Using Statistically-Derived Fabric Tensors

et al. 2015

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Low trauma fractures are amongst the most frequently encountered problems in the clinical assessment and treatment of bones, with dramatic health consequences for individuals and high financial costs for health systems. Consequently, significant research efforts have been dedicated to the development of accurate computational models of bone biomechanics and strength. However, the estimation of the fabric tensors, which describe the microarchitecture of the bone, has proven to be challenging using in vivo imaging. On the other hand, existing research has shown that isotropic models do not produce accurate predictions of stress states within the bone, as the material properties of the trabecular bone are anisotropic. In this paper, we present the first biomechanical study that uses statistically-derived fabric tensors for the estimation of bone strength in order to obtain patient-specific results. We integrate a statistical predictive model of trabecular bone microarchitecture previously constructed from a sample of ex vivo micro-CT datasets within a biomechanical simulation workflow. We assess the accuracy and flexibility of the statistical approach by estimating fracture load for two different databases and bone sites, i.e., for the femur and the T12 vertebra. The results obtained demonstrate good agreement between the statistically-driven and micro-CT-based estimates, with concordance coefficients of 98.6 and 95.5% for the femur and vertebra datasets, respectively.

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Section: Introductionmentioning

confidence: 99%

Patient-Specific Biomechanical Modeling of Bone Strength Using Statistically-Derived Fabric Tensors

et al. 2015

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“…OI 10.42 Diseases: affect the rate of bone remodelling, see Remark 19, and consequently the percentage of bone mineral content (OI 10.23) and BMD distribution, i.e., the mechanical properties of bone [192][193][194]. Fracture risk analysis in unhealthy, e.g., metastatic, bones is currently even less accurate than fracture risk analysis in healthy bones [195]. OI 10.43 Nutrition: a well-balanced diet (including plant-based diets [196][197][198][199][200]) alongside an adequate intake of Calcium and Vitamin D (sunlight exposure time) may reduce osteoporosis-induced fracture risk and hospital costs [196,201].…”

Section: Mechanical Properties Categorization For Computational Bone mentioning

confidence: 99%

Patient-Specific Bone Multiscale Modelling, Fracture Simulation and Risk Analysis—A Survey

et al. 2019

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This paper provides a starting point for researchers and practitioners from biology, medicine, physics and engineering who can benefit from an up-to-date literature survey on patient-specific bone fracture modelling, simulation and risk analysis. This survey hints at a framework for devising realistic patient-specific bone fracture simulations. This paper has 18 sections: Section 1 presents the main interested parties; Section 2 explains the organzation of the text; Section 3 motivates further work on patient-specific bone fracture simulation; Section 4 motivates this survey; Section 5 concerns the collection of bibliographical references; Section 6 motivates the physico-mathematical approach to bone fracture; Section 7 presents the modelling of bone as a continuum; Section 8 categorizes the surveyed literature into a continuum mechanics framework; Section 9 concerns the computational modelling of bone geometry; Section 10 concerns the estimation of bone mechanical properties; Section 11 concerns the selection of boundary conditions representative of bone trauma; Section 12 concerns bone fracture simulation; Section 13 presents the multiscale structure of bone; Section 14 concerns the multiscale mathematical modelling of bone; Section 15 concerns the experimental validation of bone fracture simulations; Section 16 concerns bone fracture risk assessment. Lastly, glossaries for symbols, acronyms, and physico-mathematical terms are provided.

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“…Another arena where software simulations programs are inevitable is studies relating bone and muscular injury. Software such as OpenSim proves to provide exemplary assistance regarding studies of bone injury within athletes and military service men [3]. This software has been effectively used for creating simulation for designing and testing suits for soldiers.…”

Section: Need Of Software In Biomechanical Studiesmentioning

confidence: 99%

“…Another advantage of computational software is calculations and analysis of huge number of data can be made in as meticulous manner. Accuracy and scope of biases within results are effectively reduced and results can be producers in a proper manner [3].…”

Section: Unambiguity Among Biomechanical Softwarementioning

confidence: 99%

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Optimization of the Application Software in Biomechanics and Their Contribution to The Biological Field

Daoud¹,

Ghadi²,

Almimi³

2019

JESTR

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Biomechanics refers to study of movement within dynamic biological systems. Advancement of computer software technologies such as JAVA language leads to combine stimuli and signals by biological systems and utilize them for research purposes. The main aim of this research is to analyse various biomechanical software and advancements that have been made in the field of mechanical software. Secondary research analysis has been utilized within this research paper. A Number of computational software such as OpenSim and ABAQUS have been proven to be very beneficial in this aspect. Advancement in biomechanical software has led to better research in cancer and cytoskeletal studies. Thus, Biomechanical software enables us to study kinetics of body without invasive procedures and does not cause any hindrance to ethical issues.

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Towards clinical application of biomechanical tools for the prediction of fracture risk in metastatic bone disease

Cited by 19 publications

References 47 publications

Patient-Specific Biomechanical Modeling of Bone Strength Using Statistically-Derived Fabric Tensors

Patient-Specific Biomechanical Modeling of Bone Strength Using Statistically-Derived Fabric Tensors

Patient-Specific Bone Multiscale Modelling, Fracture Simulation and Risk Analysis—A Survey

Optimization of the Application Software in Biomechanics and Their Contribution to The Biological Field

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