Functional assessment of articular cartilage using injury-induced changes in solute transport and improved mechanical characterization
Bibliographic record
Abstract
Articular cartilage is avascular and comprised mainly of a water-rich extracellular matrix (ECM); thus solute and fluid transport through cartilage ECM are crucial to cartilage physiology. Once injured, cartilage has a limited capacity for self-repair, often leading to long-term degeneration and osteoarthritis due to focal damage. Modern strategies for cartilage repair are promising, however they rely upon detection of tissue damage at an early stage following injury. This thesis explores relationships between cartilage injury, matrix damage, and associated changes in fluid and solute transport through cartilage. Results indicate avenues for improvement upon in vitro and in vivo methods for cartilage functional assessment, and early detection of focal lesions.First, an investigation was performed into the effects of a well-characterized in-vitro model for cartilage injury on the transport properties of a wide range of solutes, including fluorescent solutes and contrast agents. Mechanical injury was associated with a significant increase in effective diffusivity versus uninjured explants for all solutes studied. In contrast, mechanical injury had no effects on effective partition coefficients for most solutes tested. This distinction is important because measurement of equilibrium partitioning underlies many of the methods currently in use for clinical imaging of cartilage, but we found it to be much less sensitive to cartilage injury than non-equilibrium diffusive transport. Our results emphasized enhanced diffusive transport across the articular surface of injured cartilage, which may have important physiological implications for injury and repair situations. These support development of novel non-equilibrium methods for identification of focal cartilage lesions by contrast agent-based clinical imaging. Second, a new methodology for efficient in vitro mechanical characterization of soft tissue and gel samples was developed, which provides some important advantages over existing methods. Using a novel solution to the poroelastic governing equations for creep valid at early times combined with the classical solution for the stress relaxation problem, this method allows for measurement of gel elastic modulus and hydraulic permeability with some inherent redundancy that improves confidence in measured parameters.This thesis therefore emphasizes the development of new approaches for functional assessment of articular cartilage tissue in the laboratory and in the clinic. Improved observation and quantification of solute transport and poroelastic mechanics in cartilage will contribute to improved tissue functional assessment leading to a better understanding of cartilage physiology and more accurate identification of the stages of degenerative disease.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".