A case series of aggressive angiomyxoma: Using morphologic type and hormonal modification to tailor treatment
Bibliographic record
Abstract
Aggressive angiomyxoma is a rare tumour type with a predilection for the female pelvis, high rates of estrogen and progesterone receptor positivity and local recurrence. A retrospective chart review of patients with aggressive angiomyxoma treated at 2 cancer centres is presented. Nine patients were identified with a mean age of 41. Five patients had deeply invasive tumours that were difficult to surgically resect. Four patients had pedunculated tumours with less complex resections. In only two cases was aggressive angiomyxoma considered before resection: one due to classic magnetic resonance imaging findings and one with a preoperative biopsy. Four patients had positive margins after resection, with only one having persistent disease. Two patients were treated with gonadotropin-releasing hormone (GnRH) agonists resulting in tumour regression in one and no recurrence in the other. In this case series, aggressive angiomyxoma presented in deeply invasive and pedunculated forms. Previously reported high rates of recurrence were not observed in this group, perhaps secondary to easier resection in the pedunculated forms. GnRH agonists were successfully used as adjuncts to surgery. Evidence in this case series could be used to provide tailored treatment to patients with aggressive angiomyxoma.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".