A simple measuring device for laboratory indentation tests on cartilage / Eine einfache Prüfvorrichtung für Indentationsversuche am Knorpel

Koeller, W.; Kunow, Julius; Ostermeyer, Oliver; Stomberg, Peter; Boos, Carsten; Russlies, Martin

doi:10.1515/bmt.2008.007

Cited by 3 publications

(4 citation statements)

References 14 publications

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“…In the past, different methods have been developed requiring a complex technical setup and extensive data analysis. 22 Therefore, a simple measuring device for laboratory indentation tests on cartilage was developed, as previously published. 24 In the present study, biomechanical properties showed significant differences among lesion tissue, remote articular cartilage, and control area specimens.…”

Section: Discussionmentioning

confidence: 99%

“…Data smaller than 0.02 (25-s creeping index) and more than 15 Mpa (Young’s modulus) were excluded from statistical analysis. 22 Immediately after biomechanical investigation, specimens were processed for histology by fixation in 4% buffered formalin.…”

Section: Methodsmentioning

confidence: 99%

“…For biomechanical testing, values smaller than 0.02 µm/mm relating to the 25-s creeping index and values larger than 15 Mpa concerning the Young’s module were excluded from statistical analysis. 22 Because of the exclusion criteria, in groups MACT II and MF with regard to condylar defects, only 1 or 2 measured values could be counted. However, it is justifiable to analyze trends on the basis of means.…”

Section: Methodsmentioning

confidence: 99%

“…For many decades, biomechanical investigation focused on the mechanical properties of cartilage tissue and on the relationship between the mechanical behavior and the structural composition. 22 Nowadays, biomechanical analysis is also increasingly applied to characterize the mechanical properties of cartilage repair tissue, because although the repaired tissue may histologically resemble the normal articular cartilage, its mechanical properties will determine the functional competence of the repair tissue. 23 In the present study, we used a measuring apparatus for indentation tests on cartilage repair tissue using a standard displacement transducer, load cell, and laboratory equipment, as published previously.…”

Section: Introductionmentioning

confidence: 99%

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Cell-Laden and Cell-Free Matrix-Induced Chondrogenesis versus Microfracture for the Treatment of Articular Cartilage Defects

Gille¹,

Kunow²,

Boisch

et al. 2010

CARTILAGE

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Objective:The aim of this study was to evaluate the regenerative potential of cell-laden and cell-free collagen matrices in comparison to microfracture treatment applied to full-thickness chondral defects in an ovine model.Methods:Animals (n = 30) were randomized into 5 treatment groups, and 7-mm full-cartilage-thickness defects were set at the trochlea and medial condyle of both knee joints and treated as follows: 2 scaffolds in comparison (collagen I/III, Chondro-Gide®; collagen II, Chondrocell®) for covering microfractured defects (autologous matrix-induced chondrogenesis), both scaffolds colonized in vitro with autologous chondrocytes (matrix-associated chondrocyte transplantation), or scaffold-free microfracture technique. One year after surgery, cartilage lesions were biomechanically (indentation test), histologically (O’Driscoll score), and immunohistochemically (collagen type I and II staining) evaluated.Results:All treatment groups of the animal model induced more repair tissue and showed better histological scores and biomechanical properties compared to controls. The average thickness of the repair tissue was significantly greater when a scaffold was used, especially the collagen I/III membrane. However, none of the index procedures surpassed the others from a biomechanical point of view or based on the histological scoring. Collagen type II expression was better in condylar defects compared to the trochlea, especially in those treated with collagen I/III membranes.Conclusion:Covering of defects with suitable matrices promotes repair tissue formation and is suggested to be a promising treatment option for cartilage defects. However, it failed to improve the biomechanical and histological properties of regenerated articular cartilage compared to microfracture alone in an ovine model under the given circumstances.

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Section: Discussionmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Cell-Laden and Cell-Free Matrix-Induced Chondrogenesis versus Microfracture for the Treatment of Articular Cartilage Defects

Gille¹,

Kunow²,

Boisch

et al. 2010

CARTILAGE

Self Cite

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A Computational Framework for Patient‐Specific Analysis of Articular Cartilage Incorporating Structural Information from DT‐MRI

2009

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MSC (2000) 74L15, 74E10, 92C55, 92C10Accurate techniques for simulating soft biological tissue deformation are an increasingly valuable tool in many areas of biomechanical analysis and medical image computing. To model the morphology and the material response of human articular cartilage a phenomenological and patient-specific simulation approach incorporating the collagen fibre fabric is proposed. We then demonstrate a unique combination of ultra-high field Diffusion Tensor Magnetic Resonance Imaging (17.6T DT-MRI) and a novel numerical approach incorporating the empirical data to predict the collagen fibre fabric deformation for an indentation experiment.

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A Phenomenological Approach Toward Patient-Specific Computational Modeling of Articular Cartilage Including Collagen Fiber Tracking

Pierce

Trobin

Trattnig

et al. 2009

Journal of Biomechanical Engineering

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To model the cartilage morphology and the material response, a phenomenological and patient-specific simulation approach incorporating the collagen fiber fabric is proposed. Cartilage tissue response is nearly isochoric and time-dependent under physiological pressure levels. Hence, a viscoelastic constitutive model capable of reproducing finite strains is employed, while the time-dependent deformation change is purely isochoric. The model incorporates seven material parameters, which all have a physical interpretation. To calibrate the model and facilitate further analysis, five human cartilage specimens underwent a number of tests. A series of magnetic resonance imaging (MRI) sequences is taken, next the cartilage surface is imaged, then mechanical indentation tests are completed at 2-7 different locations per sample, resulting in force/displacement data over time, and finally, the underlying bone surface is imaged. Imaging and mechanical testing are performed with a custom-built robotics-based testing device. Stereo reconstruction of the cartilage and subchondral bone surface is employed, which, together with the proposed constitutive model, led to specimen-specific finite element simulations of the mechanical indentation tests. The force-time response of 23 such indentation experiment simulations is optimized to estimate the mean material parameters and corresponding standard deviations. The model is capable of reproducing the deformation behavior of human articular cartilage in the physiological loading domain, as demonstrated by the good agreement between the experiment and numerical results (R(2)=0.95+/-0.03, mean+/-standard deviation of force-time response for 23 indentation tests). To address validation, a sevenfold cross-validation experiment is performed on the 21 experiments representing healthy cartilage. To quantify the predictive error, the mean of the absolute force differences and Pearson's correlation coefficient are both calculated. Deviations in the mean absolute difference, normalized by the peak force, range from 4% to 90%, with 40+/-25% (M+/-SD). The correlation coefficients across all predictions have a minimum of 0.939, and a maximum of 0.993 with 0.975+/-0.013 (M+/-SD), which demonstrates an excellent match of the decay characteristics. A novel feature of the proposed method is 3D sample-specific numerical tracking of the fiber fabric deformation under general loading. This feature is demonstrated by comparing the estimated fiber fabric deformation with recently published experimental data determined by diffusion tensor MRI. The proposed approach is efficient enough to enable large-scale 3D contact simulations of knee joint loading in simulations with accurate joint geometries.

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A simple measuring device for laboratory indentation tests on cartilage / Eine einfache Prüfvorrichtung für Indentationsversuche am Knorpel

Cited by 3 publications

References 14 publications

Cell-Laden and Cell-Free Matrix-Induced Chondrogenesis versus Microfracture for the Treatment of Articular Cartilage Defects

Cell-Laden and Cell-Free Matrix-Induced Chondrogenesis versus Microfracture for the Treatment of Articular Cartilage Defects

A Computational Framework for Patient‐Specific Analysis of Articular Cartilage Incorporating Structural Information from DT‐MRI

A Phenomenological Approach Toward Patient-Specific Computational Modeling of Articular Cartilage Including Collagen Fiber Tracking

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