Age‐related variations in the microstructure of human tibial cancellous bone

Ding, Ming; Odgaard, Anders; Linde, Frank; Hvid, Ivan

doi:10.1016/s0736-0266(01)00132-2

Cited by 168 publications

(146 citation statements)

References 35 publications

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“…Whilst in young patients, this cancellous bone provides good screw purchase, in elderly patients, the microstructure of the bone changes. An increased distal canal diameter and a decreased cancellous bone density are present [4]. In clinical studies intramedullary nailing was associated with a higher incidence in malalignment and nonunions in comparison to plating [1][2][3].…”

Section: Introductionmentioning

confidence: 99%

“…The diameter of the medullary canal increases distally, forming an hourglass shape. Additionally, the tibial cortex thins and is centrally replaced by metaphyseal secondary spongiosa and cancellous bone [4]. Whilst in young patients, this cancellous bone provides good screw purchase, in elderly patients, the microstructure of the bone changes.…”

Section: Introductionmentioning

confidence: 99%

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A new angle stable nailing concept for the treatment of distal tibia fractures

Kühn

Appelmann

Pairon

et al. 2014

International Orthopaedics (SICOT)

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Purpose Surgical treatment of distal tibial fractures demands a stable fracture fixation while minimizing the irritation to the soft tissues by approach and implant. Biomechanical studies have demonstrated superior performance for angular-stable locked nails over standard locked nails in distal tibial fractures. The experimental Retrograde Tibial Nail (RTN) is a minimally invasive local intramedullary osteosynthesis, which has been under design by our group. We conducted a biomechanical comparison in composite tibiae of the Retrograde Tibial Nail against the Expert Tibial Nail (Synthes®). Our hypothesis was that the RTN would provide equivalent biomechanical stability with respect to extra-axial compression, torsion and load to failure testing, in an extra-articular distal tibia fracture model. Methods Biomechanical composite bone testing was conducted in 14 biomechanical composite tibiae in an AO 43 A3 fracture model. In both groups, triple angle stable interlocking was performed in the distal fragment. Results Results show a statistically non-significant higher stability of the ETN during the axial loading tests. Torsional stability testing resulted in a statistically superior performance for the RTN (p=0.018).Destructive extra-axial compression resulted in failure of six ETN constructs, while all RTN specimens survived the maximal load. Conclusions The experimental Retrograde Tibial Nail provides the key features for the treatment of distal tibial fractures. It combines a minimally invasive local intramedullary osteosynthesis with the ability to securely fix the fracture by multiple angle stable locking options.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A new angle stable nailing concept for the treatment of distal tibia fractures

Kühn

Appelmann

Pairon

et al. 2014

International Orthopaedics (SICOT)

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“…This hypothesis is justified by the fact that the time period over which our model is running is short as compared to the rate of variation of the anisotropy in human bone [10]. In a period of 10 years, the anisotropy changes about by 10% while our model is simulating duration of about 1.5 years [11].…”

Section: Model Of Bone Remodelingmentioning

confidence: 94%

Peri-implant Bone Remodeling after Total Hip Replacement Combined with Systemic Alendronate Treatment: A Finite Element Analysis

Peter

Ramaniraka

Rakotomanana

et al. 2004

Computer Methods in Biomechanics and Biomedical Engineering

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In order to decrease the peri-implant bone loss during the life-time of the implant, oral use of antiosteoporosis drugs (like bisphosphonates) has been suggested.In this study, bone remodeling parameters identified from clinical trials of alendronate were used to simulate the effect of those drugs used after total hip arthroplasty on the peri-implant bone density. Results of the simulation show that the oral administrated drugs increase bone density around the implant and decreases, at the same time, the micromovements between the implant and the surrounding bone tissue.Incorporation of drug effect in numerical studies of bone remodeling is a promising tool especially to predetermine safe bisphosphonate doses that could be used with orthopedic implants.

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“…8,9 Computational techniques such as finite-element analysis (FEA) and other mathematical procedures have been used for clinical data in hip fractures with limited success.…”

Section: Introductionmentioning

confidence: 99%

“…7 Tissue engineers are thus often faced with problems of selecting the most successful strategy for both the design and fabrication of synthetic scaffold for the treatment of patients suffering from degenerative orthopaedic diseases triggered by osteoarthritis, osteoporosis, trauma, injury and metastatic cancer occurring in specific age group and gender. 8,9 Computational techniques such as finite-element analysis (FEA) and other mathematical procedures have been used for clinical data in hip fractures with limited success. [10][11][12] Phenomenological (data-driven) models, based on the experimental or clinical data, are known to have poor accuracy and restricted by the size of available data sets.…”

Section: Introductionmentioning

confidence: 99%

Neural networks for analysis of trabecular bone in osteoarthritis

Khovanova

Shaikhina

Mallick

2015

Bioinspired, Biomimetic and Nanobiomaterials

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This study investigated the correlation of age in male and female specimens with physico-mechanical properties of trabecular bone including compressive strength, bone volume fraction, structural model index, trabecular thickness factor, level of inter-connectivity and pore morphology. An artificial neural network was designed to analyse 35 available samples in order to account for complex inter-dependencies of the key parameters in multi-dimensional space. Trained by using Levenberg-Marquardt back propagation algorithm, the network achieved regression factor of 0·96 by optimisation and showed that age correlates strongly with the physical properties of the bone affected by severe osteoarthritis. In addition, the compressive strength was found to be the most important factor for predicting the bone aging. Within the limitations of the input data set, the model developed provides a reliable predictive tool to tissue engineering applications. IntroductionBone is a natural biocomposite comprising hierarchical cortical and trabecular (cancellous) structures. The skeletal structurefunction relationship of trabecular tissue in vivo is complex 1 since the mechano-biological properties are intrinsically dependent on the physical and geometrical parameters of bone, 2 for example, three-dimensional (3D) trabecular architecture, 3 pore size, compressive strength, 4 yield strain and modulus, 5,6 strain energy density and bone remodelling. The task of optimising or predicting these properties especially for trabecular bone becomes even more onerous due to the fact that mechanical properties of bone differ according to their anatomical location.7 Tissue engineers are thus often faced with problems of selecting the most successful strategy for both the design and fabrication of synthetic scaffold for the treatment of patients suffering from degenerative orthopaedic diseases triggered by osteoarthritis, osteoporosis, trauma, injury and metastatic cancer occurring in specific age group and gender. 8,9 Computational techniques such as finite-element analysis (FEA) and other mathematical procedures have been used for clinical data in hip fractures with limited success.10-12 Phenomenological (data-driven) models, based on the experimental or clinical data, are known to have poor accuracy and restricted by the size of available data sets.13 Resulting statistical models are generally very sensitive to the inaccurate data and outliers, as well as the level of ambiguity allowed by the fuzzy logic and soft algorithms. This necessitates generation of large volume and high-quality data, and in tissue engineering, these requirements are highly impractical and often unrealistic. To resolve this dilemma and make statistical datadriven models applicable, it is desirable to design a model based on the principles of machine learning, which enables the ability of such model to learn from the additional data and to dynamically adapt to new inputs. [14][15][16][17]

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Age‐related variations in the microstructure of human tibial cancellous bone

Cited by 168 publications

References 35 publications

A new angle stable nailing concept for the treatment of distal tibia fractures

A new angle stable nailing concept for the treatment of distal tibia fractures

Peri-implant Bone Remodeling after Total Hip Replacement Combined with Systemic Alendronate Treatment: A Finite Element Analysis

Neural networks for analysis of trabecular bone in osteoarthritis

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