Tuberous sclerosis complex associated intracranial lesion found by antenatal ultrasound
Bibliographic record
Abstract
Tuberous sclerosis complex (TSC) is characterized by the growth of benign tumors in the skin, brain, kidneys, lung and heart [1]. Prognosis is mostly determined by the extent of brain involvement as tumors in the brain lead to seizures, cognitive impairment and behavioral problems. Current evidence suggests anti-epileptic treatment before the onset of seizures reduces epilepsy severity and risk of cognitive impairment in TSC however identifying these children prior to the onset of seizures is challenging. Our case shows retrospectively reviewed antenatal ultrasounds of a male child diagnosed postnatally at 12 days of life with TSC. Analysis found a soft tissue mass in the right ventricle on antenatal ultrasound which was not captured in the initial ultrasound report. Though there are no reports of sensitivity of neurosonography for the antenatal detection of intracranial abnormalities associated with TSC, our case suggests that antenatal ultrasound could be used as a screening modality for antenatal diagnosis of TSC.
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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 | 0.000 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".