Anaplastic Large Cell Lymphoma Associated with Double-Lumen Breast Implants: A Case Report and Review of the Literature
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
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.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 it