Factors Associated with Placental Vascularization Measured by 3D Power Doppler Ultrasonographic Sphere Biopsy between 11 and 14 Weeks of Gestation
Bibliographic record
Abstract
OBJECTIVE: Preeclampsia is associated with placental vascularization disorders. Ultrasonographic sphere biopsy (USSB) of the placenta can estimate the vascularization of the placenta and potentially the risk of preeclampsia. We aimed to explore the factors related to placental vascularization measured with USSB in the first trimester. STUDY DESIGN: A prospective cohort was conducted in women recruited at 11 to 14 weeks. Three-dimensional acquisition of the placenta with power Doppler was undertaken along with crown-rump length (CRL). Using USSB of the full placental thickness at its center, vascularization index, flow index, and vascular flow index were measured. Pearson's correlation coefficients and multivariate linear regression were used to correlate the vascularization indices with CRL and maternal characteristics. RESULTS: A total of 5,612 women were recruited at a mean gestational age of 12.8 ± 0.6 weeks. We observed that vascularization indices increase with CRL. After adjustment, we observed that maternal age, ethnicity other than Caucasian, and body mass index were associated with lower vascularization indices, while diabetes, smoking, and assisted reproduction technology were not. We observed that parous women without history of preeclampsia had greater vascularization indices compared with nulliparous women. CONCLUSION: Placental vascularization indices assessed by USSB fluctuate with gestational age, ethnicity, maternal age, body mass index, and previous pregnancy history.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.002 | 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".