Management of Ovarian Cancer in 14th Gestational Week of Pregnancy by Robotic Approach with Preservation of the Fetus
Bibliographic record
Abstract
The objective of this study is to present a rare case of pregnancy complicated with ovarian cancer managed by robotic surgery. A 36-year-old woman suffered from sudden onset of lower abdominal pain during her pregnancy at 14 weeks of gestation. As malignancy was highly suspected, left salpingo-oophorectomy, bilateral pelvic lymph node dissection, and omentectomy were performed by robotic approach. The uterus and fetus were preserved. After surgery, 5 courses of carboplatin and paclitaxel were given, and the patient was delivered by cesarean section at 37 weeks of pregnancy. Follow-up at 18 months showed no signs of cancer recurrence. As there is limited report of pregnancy complicated with ovarian cancer managed by robotic surgery, we provide this rare case and suggest that surgical staging for ovarian malignancy can be safely accomplished by robotic approach at 14 weeks of pregnancy.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".