A microarchitectured material for a mechanically biocompatible hip implant
Bibliographic record
Abstract
B resorption is ubiquitous in reconstructive orthopaedics. The process generally occurs when the mechanical properties of the implant do not match those of the surrounding bone tissue that hosts it. Lack of mechanical biocompatibility is universally recognized to be a major detriment of existing hip replacement implants. Among those in the market, cementless or porous-coated prostheses, there is not a single implant that can avoid bone resorption. The problem triggered by implant loosening and stress shieldingis critical for both primary and revision hip surgery. We have recently introduced a hipreplacement implant that prevents stress-shielding, as well as reduces implant micromotion, two conflicting requirements. The hallmark of the implant lies in the material microarchitecture: an open cell Ti-6AL-4V microlattice with functionally graded structure. Its properties are locally tailored to match the strain energy density of bone tissue. Compared to existing implants, bone resorption and maximum interface stress are about 70% and 50% less than those of a fully dense titanium stem, and 53% and 65% less than those of a porous-coated implant. Stem prototypes with Ti-6Al4V isoelasticmicrolattices have been successfully built with Electron Beam Melting. In this talk, I will describe the biomechanics and optimization of the material microarchitecture, the multiscale behavior of the femoral stem, as well as the technology aspects. The results show that tuning the mechanical biocompatibility of the lattice enables the surrounding bone tissue to remodel in the long term, thereby keeping femur bone stock. Damiano Pasini, J Tissue Sci Eng 2013, 4:2 http://dx.doi.org/10.4172/2157-7552.S1.010
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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".