Anaplastic Large Cell Lymphoma Associated with Double-Lumen Breast Implants: A Case Report and Review of the Literature
Bibliographic record
Abstract
Background: Breast implant-associated anaplastic large cell lymphoma (ALCL) is commonly associated with diagnostic delay due to the insidious nature of presentation with late periprosthetic fluid collection, mass or locoregional adenopathy. Case Presentation: A 75-year-old woman with a remote history of right breast cancer treated with modified radical mastectomy and immediate reconstruction with a double-lumen silicone implant presented 13 years later with volume asymmetry. The implant was removed and a saline implant was placed. Five years later, she presented with acute onset of right breast enlargement and pain. Ultrasound revealed an associated periprosthetic fluid accumulation. Cytology showed anaplastic lymphoma kinasenegative, CD30-positive ALCL without associated systemic disease. The patient was treated with implant removal and total capsulectomy. Conclusion: Due to the insidious presentation of ALCL, a high index of clinical suspicion must be maintained when evaluating patients for delayed presentation of volumetric discrepancy. Treatment typically entails implant removal. Indications for additional systemic treatment include extracapsular spread of ALCL or presence of a periprosthetic tumour.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.005 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.003 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".