OP33.10: Fetal cerebral blood flow and neonatal brain white matter changes in complex in human fetuses with congenital heart disease
Bibliographic record
Abstract
We sought to assess cerebral blood flow supply in fetuses with complex CHD and identify any relationship between cerebral blood flow and white matter changes in CHD fetuses using ultrasound and MRI. We measured the middle cerebral artery (MCA) PI and umbilical artery (UA) with ultrasound, superior vena cava (SVC) flow and fetal brain weight (EBW) with MRI using our previously published technique < span style = "font-size:11px" > </span > in 86 CHD fetuses(mean gestation age 36 week) and 40 normal controls(mean gestation age 36.85 week). Neonatal head ultrasound (HUS) performed after delivery was used to classify the newborn brains as: normal, increased white matter echogenicity (WME), or periventricular leukomalacia (PVL). Fetal hymodynymic parameters and estimate fetal brain weight Z-Score was shown in table 1. Extreme SVC flows defined as SVC flow (2SD above mean: 208 ml/ min/ Kg) or (2 SD below mean: 66 ml/ min/ Kg). 38% of neonates with CHD had increased WME on HUS and 10% had PVL. Elevated SVC flow was associated with a markedly increased risk of PVL (OR: 8.0, p = 0.03). Supporting information can be found in the online version of this abstract Please note: The publisher is not responsible for the content or functionality of any supporting information supplied by the authors. Any queries (other than missing content) should be directed to the corresponding author for the article.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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".