Ovarian stimulation for fertility preservation in a woman with borderline serous ovarian tumor causing a large fluctuating subcutaneous fluid collection: a case report
Bibliographic record
Abstract
Background: Fertility preservation in oncologic cases has increased exponentially during the last 15 years. Most of these cases occur in women with breast cancer or lymphoma. Rarely, the onco-fertility physician will have cases of young ovarian cancer patients who wish to cryopreserve their oocytes or embryos. Case: A previously un-described presentation of a borderline serous ovarian tumor in a woman undergoing ovarian stimulation for fertility preservation. On the day of egg retrieval, a large subcutaneous fluid collection was noted. This fluid collection is possibly secondary to laparoscopic resection of the ovarian mass. Although, cancer recurrence has been noted at laparoscopic port entry sites and ovarian stimulation has been hypothesized to increase the risk of advancement of ovarian cancer cells, this is the first time in the medical literature that a supra-facial fluid collection occurred during gonadotropin stimulation, without ovarian hyperstimulation syndrome, in the context of ovarian malignancy. Our hypothesis is that during an operation before the stimulation cycle started, low malignant potential ovarian cells spread via the laparoscopy port to the subcutaneous space and grew in response to the gonadotropin stimulation. Conclusions: Being a borderline tumor, the fluid collection was self limited and did not re-occur with subsequent stimulations. However, in cases of frank ovarian malignacy and ovarian stimulation for fertility preservation cancer metastacis could occur to the sub-cutaneous space.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.006 | 0.004 |
| 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".