Leiomyoma With Massive Lymphoid Infiltration: 2 Cases With Lymphocytic Vasculopathy and Angiocentric Germinal Centers
Bibliographic record
Abstract
Uterine leiomyoma with massive lymphoid infiltration is characterized by a dense lymphoid infiltrate and germinal centers sparing the adjacent myometrium. Only few reports describe this entity and its etiology is unknown. This rare lesion may also exhibit lymphocytic vasculopathy but this has only been reported in the setting of GnRH agonist exposure. We report 2 cases of uterine leiomyoma with massive lymphoid infiltration in which only 1 patient was exposed to GnRH agonists. In both cases, histopathologic analysis showed thick-walled vessels with swollen endothelial cells showing evidence of intramural lymphocytic infiltration, red blood cell extravasation, and medial edema. This constellation of findings represented frank vascular damage and lymphocytic vasculopathy. Our findings suggest that lymphocytic vasculopathy in these lesions may be secondary to factors other than GnRH agonists. Furthermore, both cases showed an angiocentric disposition of germinal centers that has scarcely been alluded to in prior reports. This finding may provide a clue in accurately recognizing leiomyoma with massive lymphoid infiltration. Recognition of this lesion will allow one to avoid mistaking it for mimickers such as inflammatory myofibroblastic tumor, lymphoid malignancies, or other inflammatory processes.
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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 | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.002 | 0.003 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.005 | 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".