P16.05: First‐trimester measurement of uterine artery pulsatility index (<scp>PI</scp>) through transabdominal and transvaginal ultrasound
Bibliographic record
Abstract
To compare first trimester uterine artery pulsatility index (PI) through transabdominal and transvaginal ultrasound. We performed a prospective study of singleton pregnant women recruited at the time of 11–14 weeks ultrasound. Mean PI of uterine arteries was obtained using transabdominal and transvaginal ultrasound by a single investigator. Participants were followed until delivery. Parametric, non-parametric and ROC curves analyses were used. We recruited 751 participants. We observed that mean PI obtained through abdominal ultrasound (median: 1.68 interquartile: 1.35 – 2.09) was greater than mean PI obtained through vaginal ultrasound (median: 1.64, interquartile: 1.36 – 1.99), and mainly for the high values. More importantly, we observe only a moderate correlation between abdominal and vaginal mean PI (Pearson correlation coefficient: 0.70). Using abdominal ultrasound, we observed the following mean PI for women who developed no pre-eclampsia (med: 1.68; IQR: 1.35-2.09), term PE (med: 1.68; IQR: 1.25-2.04), and preterm PE (med: 2.00; IQR: 1.06-2.76) compared to the following mean PI using vaginal ultrasound: No PE (med: 1.63; IQR: 1.36-1.98), term PE (med: 1.63; IQR: 1.31-2.07), and preterm PE (med: 2.13; IQR: 1.15-2.86) First trimester uterine artery pulsatility index (PI) measured through transabdominal and transvaginal ultrasound are different and should be studied independently as predictor of preterm PE.
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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 | 0.002 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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".