Ultra-High-Risk Gestational Choriocarcinoma of the Ovary Associated with Ectopic Pregnancy
Bibliographic record
Abstract
Gestational choriocarcinoma of the ovary is an exceptionally rare and highly aggressive tumor. Preoperative diagnosis of extrauterine choriocarcinoma is difficult due to nonspecific clinical presentation and its resemblance to ectopic pregnancy. Without molecular genetic analysis, it is not possible to reliably differentiate gestational from non-gestational choriocarcinoma. Here, we present a case of a 44-year-old woman who presented to our emergency department with complaints of pelvic pain, vaginal bleeding, and amenorrhea. Because of a recent history of conservatively managed ectopic pregnancy, the patient underwent emergency laparoscopy. Right-sided salpingo-oophorectomy was performed due to intraoperatively suspected ovarian ectopic pregnancy. Histopathology results revealed the diagnosis of ovarian choriocarcinoma of possible gestational origin. It was classified as FIGO stage IV and WHO ultra-high-risk, and she underwent multi-agent chemotherapy without major complications. She has remained in complete remission after a 12-month follow-up. Considering the rarity of this diagnosis, we conducted a literature review including all published cases of suspected gestational choriocarcinomas of the ovary. We conclude that due to the rarity of this entity, preoperative differentiating between ovarian ectopic pregnancy and ovarian choriocarcinoma is extremely challenging, and without molecular genetic analysis, it is not possible to identify the genetic origin of the tumor.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".