Fetal Hemodynamics and Brain Development in Late Onset Intrauterine Growth Restriction
Bibliographic record
Abstract
Late-onset intrauterine growth restriction (IUGR) results from placental insufficiency. It has an adverse impact on brain development. However, the relationships between placental function, fetal hemodynamics and cerebral maturation in human IUGR are poorly understood. This thesis describes our findings using MRI technology in late-onset IUGR. We measured key hemodynamic parameters and compared them with indices of brain development in neonates following late-onset IUGR. MRI revealed the expected adaptive responses to hypoxia in IUGR fetuses. MRI parameters including flow in the superior vena cava and oxygen delivery could be useful markers of late-onset IUGR. We also observed reduced cerebral oxygen delivery in IUGR fetuses, which could be associated with reduced brain growth and delayed white matter development. Preliminary data indicated that IUGR was impacting subsequent neurodevelopmental outcomes. Our finding would suggest that MRI could provide useful adjunct to current monitoring and help define the optimal timing of delivery of late-onset IUGR.
Stored with the screening record, where it is evidence for the labels above.
How this classification was reachedexpand
The three-model screen
all 5,600 screened works →All three models called this out of scope.
MRI thesis on fetal hemodynamics and brain development in late-onset intrauterine growth restriction; a clinical/physiological question.
The dissertation studies fetal hemodynamics and brain development, not research itself.
Clinical fetal hemodynamics and brain development in IUGR; biomedical domain study.
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 | 0.000 |
| 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) | 0.001 | 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".