Pericarditis After Breast Implant Rupture: A Case Report
Bibliographic record
Abstract
A ruptured breast implant is usually asymptomatic and accidentally discovered during an imaging test. However, implant ruptures can cause isolated silicone granulomas and cases of severe systemic disease. We report the first case of a 39-year-old female patient with augmentation breast implants and myopericarditis secondary to implant rupture. Many etiologies of myopericarditis were explored, but none were selected with the exception of the rupture of the implant in the left breast. Magnetic resonance imaging showed a prosthetic rupture with capsular intrusion and formation of a silicone granuloma with inflammation of the pericardium on contact. Clinical and radiological improvement was observed in the short term after surgical removal of the implant. A review of the literature was conducted supporting the hypothesis of an autoimmune and inflammatory syndrome induced by an adjuvant.
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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 | 0.001 | 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".