P.058 Tuberous sclerosis complex associated intracranial abnormalities identified in utero via antenatal ultrasound
Bibliographic record
Abstract
Background: Tuberous sclerosis complex (TSC) is characterized by growth of benign tumors in the skin, brain, kidneys, lung and heart. Prognosis is mostly determined by the extent of brain involvement as tumors in the brain lead to seizures and cognitive problems. Epilepsy is highly associated with the cognitive abnormalities in TSC and recent evidence suggests anti-epileptic treatment before onset of seizures reduces epilepsy severity and risk of mental retardation. Screening and potential identification of TSC in utero via ultrasound would allow for prophylactic seizure management in these children. The sensitivity of antenatal ultrasound in the identification of brain abnormalities associated with TSC has not yet been published. In this case, we review the antenatal ultrasounds of a child with TSC for evidence of brain abnormalities in utero. Methods: Retrospective review Results: Retrospective review of antenatal ultrasounds showed some evidence of intracranial abnormalities. Ultrasound at 34 weeks and 4 days gestation revealed an echogenic density in the right ventricle that correlates with SEGA on post-natal MRI brain at 12 days of life. Post-natal brain ultrasound at 37 weeks revealed multiple cranial abnormalities not seen in utero. Conclusions: There are limitations to antenatal neurosonography in the detection of intracranial abnormalities associated with TSC.
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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 | 0.006 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.007 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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; both teacher heads agree on what is shown here.
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".