Haemoptysis from a pulmonary arteriovenous malformation in a post molar pregnancy gestational trophoblast tumour patient managed by radiological embolisation: a case report
Bibliographic record
Abstract
INTRODUCTION: Gestational trophoblastic tumours are a rare form of malignancy, which in the majority of cases arise from abnormal trophoblast cells formed in a complete molar pregnancy. These tumours are extremely sensitive to chemotherapy and high cure rates approaching 100% can be expected. The disease is usually limited to the uterus where the abnormal trophoblast proliferation and human chorionic production can lead to vascular changes including the formation of arteriovenous malformations. CASE PRESENTATION: We describe the case of a 28-year-old Caucasian woman who presented to the United Kingdom's Gestational Trophoblast Tumour Service with rising human chorionic gonadotropin levels following a uterine evacuation for a complete molar pregnancy. She was commenced on chemotherapy but subsequently reported two episodes of haemoptysis. Computed tomography imaging demonstrated findings consistent with a pulmonary arteriovenous malformation, probably due to a small pulmonary metastasis, complicated by recent haemorrhage. These findings were confirmed on emergency pulmonary arteriography, and the pulmonary arteriovenous malformation was successfully embolised. CONCLUSIONS: Arteriovenous malformations secondary to gestational trophoblastic tumours at metastatic sites have only been reported in a very limited number of cases. When significant bleeding occurs, as in this case of a pulmonary lesion, urgent referral for embolisation is indicated.
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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 | 0.004 |
| 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".