Prenatal and postnatal imaging of an intrapericardial teratoma
Bibliographic record
Abstract
Abstract Background Intrapericardial teratomas are rare tumors arising from all three germinal layers. They are mostly benign but can lead to life-threatening complications. Case presentation A 38-year-old woman with an in vitro fertilization (IVF) conception had a normal fetal anatomical survey at 20 weeks of gestation. At 32 weeks, during evaluation for decreased fetal movements and gestational diabetes, the fetus was found to have a unilateral right pleural effusion, a large pericardial effusion with an 18 × 16 × 17 mm-sized cystic intrapericardial mass and ventricular dysfunction with associated, significant, polyhydramnios. Echocardiography was suggestive of a teratoma which was confirmed by pathology after postnatal surgery. Conclusion Early prenatal diagnosis and appropriate monitoring during pregnancy are important to optimize outcome, however, even though antenatal intervention may improve the outcome in cases with hydrops, in utero mortality remains high.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".