Prenatal diagnosis, clinical outcomes, and associated pathology in pregnancies complicated by massive subchorionic thrombohematoma (Breus' mole)
Bibliographic record
Abstract
OBJECTIVES: To review the association between ultrasound findings, placental pathology, and prognosis in pregnancies complicated by massive subchorionic thrombohematoma (MTH)/Breus' mole. METHOD: We identified 14 cases of MTH from January 2004 to December 2012. MTH was defined by >1 cm thickness hematoma and extensive (≥50%) involvement of the fetal surface of the placenta. Patient information, details of initial presentation, and perinatal outcome were obtained from the manual and electronic chart records. Ultrasound findings were related to pregnancy outcomes and associated placental pathology. Participants were stratified on the basis of birth outcome into survivors (live births, n = 7) and nonsurvivors (neonatal deaths or intrauterine fetal deaths/termination of pregnancy, n = 7). RESULTS: All 14 cases of MTH were suspected on ultrasound and confirmed by pathology assessment. All cases in the nonsurvivor group had abnormal umbilical artery (UA) Doppler waveforms compared with none in the survivors (p = 0.02). All cases in the nonsurvivor group had extreme preterm deliveries (p = 0.02). Birth weight was significantly reduced in the nonsurvivor group (p = 0.001), and 5/7 cases were diagnosed with severe intrauterine growth restriction, compared with none in the survivor group (p = 0.02). CONCLUSION: Massive subchorionic thrombohematoma/Breus' mole may be diagnosed in the second trimester by ultrasound assessment of the placenta. Normal fetal growth and UA Doppler waveforms are associated with perinatal survival.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.001 | 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".