Tamoxifen for nodal recurrence of serous borderline ovarian tumour − a case report
Bibliographic record
Abstract
Background: Serous borderline ovarian tumours (SBTs) are rare epithelial neoplasms typically associated with excellent long-term survival. Most recurrences occur within the first decade and are limited to the peritoneum. Nodal recurrence after several decades is exceedingly rare. Hormonal therapy is well-established in low-grade serous carcinoma (LGSC), but its role in borderline tumours remains undefined. Case presentation: We describe the case of a 68-year-old woman with a history of advanced stage serous borderline ovarian tumour, previously treated surgically in the 1980s. After 37 years of disease-free survival, she presented with abdominopelvic pain and was found to have biopsy-confirmed recurrence in multiple nodal regions, including bilateral external iliac and mesenteric lymph nodes. Surgical debulking was performed, confirming SBT. The surgery was complicated by a left external iliac vein injury. Postoperatively, the course was complicated by extensive bilateral deep vein thromboses requiring long-term anticoagulation, as well as a left inguinal lymphocele. She subsequently developed progression in the right external iliac nodes eight months later. Due to surgical complexity, further resection was not pursued, and the patient was initiated on hormonal therapy with Tamoxifen. Follow-up imaging demonstrated partial response. Conclusion: This case highlights the rare phenomenon of late nodal recurrence in borderline ovarian tumours and illustrates the potential role of hormonal therapy in selected cases where surgery is no longer feasible.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| 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 | 0.003 | 0.001 |
| 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".