Correlation of pQCT bone strength index with mechanical testing in distraction osteogenesis

Kokoroghiannis, Constantine; Charopoulos, Ioannis; Gp, Lyritis; Raptou, P.; Karachalios, Theofilos; Παπαϊωάννου, Νικόλαος

doi:10.1016/j.bone.2009.05.021

Cited by 17 publications

(11 citation statements)

References 29 publications

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“…Their data also suggest a relationship between callus geometry through degree of closure of the fracture gap and callus strength [11]. Kokoroghiannis et al [29] correlated strength-strain index (SSI) as derived from peripheral QCT (pQCT) data in rabbit tibias undergoing distraction osteogenesis to bone stiffness ( R 2 = 0.716) and proposed pQCT as a method for predicting bone failure following frame removal based on this correlation. SSI described 70% of the variation in mechanical testing-based GJ, which was different from CTRA-based GJ AVG ( R 2 = 0.63, superior) and GJ MIN ( R 2 = 0.81, inferior) ( P < 0.05 for both cases).…”

Section: Discussionmentioning

confidence: 99%

Application of Structural Rigidity Analysis to Assess Fidelity of Healed Fractures in Rat Femurs with Critical Defects

et al. 2010

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Approximately 6 million fractures occur each year in the United States, with an estimated medical and loss of productivity cost of $99 billion. As our population ages, it can only be expected that these numbers will continue to rise. While there have been recent advances in available treatments for fractures, assessment of the healing process remains a subjective process. This study aims to demonstrate the use of micro-computed tomography (μCT)-based structural rigidity analysis to accurately and quantitatively assess the progression of fracture healing over time in a rat model. The femora of rats with simulated lytic defects were injected with human BMP-2 cDNA at various time points postinjury (t = 0, 1, 5, 10 days) to accelerate fracture healing, harvested 56 days from time of injury, and subjected to μCT imaging to obtain cross-sectional data that were used to compute torsional rigidity. The specimens then underwent torsional testing to failure using a previously described pure torsional testing system. Strong correlations were found between measured torsional rigidity and computed torsional rigidity as calculated from both average (R2 = 0.63) and minimum (R2 = 0.81) structural rigidity data. While both methods were well correlated across the entire data range, minimum torsional rigidity was a better descriptor of bone strength, as seen by a higher Pearson coefficient and smaller y-intercept. These findings suggest considerable promise in the use of structural rigidity analysis of μCT data to accurately and quantitatively measure fracture-healing progression.

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Section: Discussionmentioning

confidence: 99%

Application of Structural Rigidity Analysis to Assess Fidelity of Healed Fractures in Rat Femurs with Critical Defects

et al. 2010

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“…Figure 2 illustrates that with the same amount of bone material, higher bone strength is accomplished when the cortex is thinner, the cross-sectional cortical area is equivalent, but the perimeter of the skeletal element is enlarged. Bone strength is measured with the Strength Strain Index [SSI; often also called Bone Strength Index (BSI)], which is a variable, describing the mechanical strength of an object due to applied torsion forces [21,22]. The physiological process of modeling is supported by the process of remodeling in which osteoblasts and osteoclasts work hand in hand in bone lacuna to replace old material by new bone [23].…”

Section: Introductionmentioning

confidence: 99%

Analyses of muscular mass and function: the impact on bone mineral density and peak muscle mass

et al. 2010

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Bone density and bone mass are commonly regarded as the essential parameters to describe fracture risk in osteology. Because fractures primarily depend on bone strength and secondarily on bone mass and density, bone strength should be the main parameter to describe fracture risk. The quantitative description of bone strength has the prerequisite that bone geometry is assessed despite bone density. Thus, volumetric osteodensitometric methods should be preferred, which enable the physician to evaluate parameters primarily associated with bone modeling or remodeling. Modeling describes the adaptation of bone geometry to applied muscular forces in contrast to remodeling representing bone turnover. The adaptation of bone geometry to muscle forces led to the term functional muscle-bone unit, which enables the physician to differentiate between primary and secondary bone diseases. Primary bone diseases are characterized by a defective adaptation of bone to muscle forces in contrast to secondary bone diseases, which are primary diseases of the neuromuscular system. Because muscle forces are essential in the feedback loop of bone adaptation to forces (mechanostat), the assessment of muscle function has become an essential part of osteologic diagnostics in pediatrics. Dynamometric and mechanographic methods have been introduced to properly characterize kinetic aspects of muscle function in children and adolescents. Therefore, emphasis should be put on the assessment of muscle function despite the evaluation of osteodensitometric parameters in pediatric osteology.

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“…These indices correlate very well with whole bone strength when tested ex vivo (Siu et al 2003, Kokoroghiannis et al 2009). Micro-computerized tomography (μCT) is normally used at a resolution of 1-10 μm in rodents (Bouxsein et al 2010).…”

Section: Peripheral Quantitative Computerized Tomography and Micro-comentioning

confidence: 80%

Animal models to explore the effects of glucocorticoids on skeletal growth and structure

Wood

Souček

Wong

et al. 2018

Journal of Endocrinology

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Glucocorticoids (GCs) are effective for the treatment of many chronic conditions, but their use is associated with frequent and wide-ranging adverse effects including osteoporosis and growth retardation. The mechanisms that underlie the undesirable effects of GCs on skeletal development are unclear, and there is no proven effective treatment to combat them. An in vivo model that investigates the development and progression of GC-induced changes in bone is, therefore, important and a wellcharacterized pre-clinical model is vital for the evaluation of new interventions. Currently, there is no established animal model to investigate GC effects on skeletal development and there are pros and cons to consider with the different protocols used to induce osteoporosis and growth retardation. This review will summarize the literature and highlight the models and techniques employed in experimental studies to date.

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Correlation of pQCT bone strength index with mechanical testing in distraction osteogenesis

Cited by 17 publications

References 29 publications

Application of Structural Rigidity Analysis to Assess Fidelity of Healed Fractures in Rat Femurs with Critical Defects

Application of Structural Rigidity Analysis to Assess Fidelity of Healed Fractures in Rat Femurs with Critical Defects

Analyses of muscular mass and function: the impact on bone mineral density and peak muscle mass

Animal models to explore the effects of glucocorticoids on skeletal growth and structure

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