Ovarian Teratomas with Florid Benign Vascular Proliferation: A Distinctive Finding Associated with the Neural Component of Teratomas that may be Confused with a Vascular Neoplasm
Bibliographic record
Abstract
Prominent benign vascular proliferations associated with neural tissue in five cases of ovarian teratoma are described. The ages of the patients ranged from 15 to 35 years. Three of the five had tumors confined to the ovary, one had peritoneal implants, and one had widespread metastatic immature teratoma. Two of the patients are alive and well, 8 and 9 years postoperatively. Follow-up is unavailable in two cases and the final case was recent. The tumor in three of the cases had features of mature cystic teratoma including abundant mature neural tissue and, in one instance, microscopic foci of primitive neuroepithelium. The tumor in the fourth case was an immature teratoma with abundant primitive neuroepithelium, and in the fifth case was a mixed germ cell tumor, composed mostly of immature teratoma with a minor component of yolk sac tumor. In all the tumors there was a prominent vascular proliferation composed of long thin-walled, curved vessels or a solid glomeruloid arrangement. Immunohistochemistry done in two cases confirmed the vascular nature of the proliferation. Angiogenesis, likely as an expression of vascular endothelial growth factors, is a well-known phenomenon in a variety of neural and neuroendocrine neoplasms, in particular high-grade gliomas. However, very few cases of this phenomenon have been described in association with neural tissue in the ovary. Recognition of this proliferation as a benign secondary one is important to avoid misdiagnosis of a vascular neoplasm or an immature teratoma, as happened in one of our cases.
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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 | 0.000 | 0.000 |
| 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 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".