OC21.07: <sup>*</sup>Additional value of advanced neurosonography and magnetic resonance imaging in fetuses at risk for brain damage
Bibliographic record
Abstract
To examine the additional value of advanced fetal neurosonography (axial, coronal and sagittal planes) and Magnetic Resonance Imaging (MRI) to axial ultrasound (US) planes in the diagnosis of brain damage (visible as periventricular echogenicity changes (PVE), peri- and intraventricular hemorrhage (PIVH) and echogenicities in basal ganglia and/or thalami (BGTE)) in fetuses at high risk. A multicentre, prospective, observational study. All consecutive fetuses at risk for acquired brain anomalies (e.g. cytomegalovirus infection, growth restriction, monochorionic twins) were eligible. The following examinations were performed. Before birth: biweekly axial US and advanced neurosonography; brain MRI once. After birth: brain US <24h and at term equivalent age. Brain MRI once at term equivalent age. Presence of PVE, PIVH and BGTE on US and (the equivalent) signal intensity changes on MRI was evaluated by an expert panel, blinded for medical history. Scores were generated by consensus. The infants underwent neurological examinations at 12-18 months of age by means of Alberta Infant Motor Scale; scores <10 percentile were considered suspect. 51/154 eligible pregnant women with 56 fetuses participated. In 37/56 fetuses all fetal imaging modalities were present. PVE was encountered in 6/37, 18/37 and 2/37 fetuses on axial US planes, neurosonography and MRI examinations, respectively. PIVH was found in 3/37; 9/37 and 1/37; and BGTE in none of 37; 6/37 and none of 37 examinations, respectively. Neurological outcome was suspect in 8/50 infants, 5/8 had anomalies on fetal neurosonography, 2/8 on neonatal US, one showed no anomalies at all. Fetal PVE, PIVH and/or BGTE were encountered more often on neurosonography compared to axial planes and MRI. Suspect neurological outcome at 12-18 months was preceded by echogenicity changes on fetal neurosonography in 63%. We found no additional value of fetal MRI to neurosonography in this population.
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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 | 0.003 |
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.025 | 0.005 |
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".