Severe Metallosis Leading to Femoral Head Perforation
Bibliographic record
Abstract
This article describes a case of severe metallosis in a 67-year-old woman who initially underwent primary total hip arthroplasty with a ceramic-on-ceramic articular bearing. This was subsequently revised to a metal-on-polyethylene articulation due to ceramic liner fracture. She presented with severe hip pain and a pelvic mass. Infective workup was negative. Perforation of the cobalt-chrome femoral head was observed intraoperatively. In addition, signs of extensive metallosis, including embedded ceramic debris from the primary procedure, were observed. To the authors' knowledge, this is the first report of a ceramic fracture that led to cobalt-chrome femoral head perforation after subsequent revision total hip arthroplasty. The patient underwent successful revision surgery with a ceramic-on-ceramic coupling. Ceramic materials are increasingly being used in total hip arthroplasty in younger patients. They have excellent tribological properties. However, they also have a lower elasticity and plasticity, which makes them susceptible to sudden material failure. Ceramic fracture is an uncommon yet problematic complication of total hip arthroplasty. Previous authors have reported the importance of performing thorough synovectomy following ceramic liner fracture. Revision surgery using couplings that have a lower hardness, such as metal-on-polyethylene, are best avoided due to their susceptibility to undergo abrasive wear from remaining ceramic particles. The authors advocate revision with ceramic-on-ceramic couplings after ceramic liner fracture.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.004 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".