Implication of region-dependent material properties of articular cartilage in the contact mechanics of porcine knee joint
Bibliographic record
Abstract
BACKGROUND: The site-specific tissue properties of knee cartilage may play an essential role in knee joint mechanical function, and mitigate joint injury and cartilage degeneration. The present study aimed to determine the significance of tissue inhomogeneity in knee joint contact mechanics using a porcine model. METHODS: Finite element models were developed for a porcine knee with intact and total meniscectomy conditions to simulate whole-joint compression-relaxation tests under a 1.2-mm ramp-compression at 0.01, 0.1, or 1 mm/s. Two reference benchmarks were introduced for the implementation of poromechanical material properties of fibril-reinforced cartilage: Benchmark II consisted of 17 sets of cartilage properties, each for a region in the knee, representing site-specific inhomogeneity averaged from cartilage indentation maps of 14 porcine knees. Benchmark I was comprised of a single set of properties by taking the average properties of 17 regions in Benchmark II, assuming tissue homogeneity. To validate the modeling method, the reference benchmarks were used to produce results against whole-joint compression test data. RESULTS: Both benchmarks were able to approximate experimental force-compression data obtained from the same knee with intact menisci and total meniscectomy, provided that the average properties from 14 knees were appropriately scaled to account for individual joint differences. Noticeable differences in stress and pressure distributions were observed between the benchmarks. For instance, benchmark I generated higher peak contact and fluid pressures in the medial tibial cartilage, but benchmark II produced the higher ones in the lateral tibial cartilage. The load sharing asymmetry between the lateral and medial compartments was reduced in benchmark II which was more pronounced for higher compression rates. On the other hand, benchmark II produced a more uniform stress distribution or lower maxima. Meniscectomy caused a slight shift of the contact centers in the tibial plateaus as compared to the intact joint. CONCLUSION: The modeling results demonstrated substantial differences in loading distributions in the joint between the homogeneous and nonhomogeneous models represented by the two benchmarks, indicating the role of tissue inhomogeneity in the joint contact mechanics. Region-dependent tissue properties may need to be implemented in joint mechanical modeling to evaluate the site of cartilage prone to injury or degeneration.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".