Brain MRI Findings in Infantile Spasm: Outcome Correlations in a Patient Cohort
Bibliographic record
Abstract
Background: Infantile spasm is a type of pediatric seizure often associated with a negative prognosis. The aim of this study was to evaluate the role of Magnetic Resonance Imaging (MRI) in categorization and neurodevelopmental outcomes in children with infantile spasm. Materials and Methods: A retrospective study of the clinical charts and MRI findings of infants diagnosed with infantile spasm between December 2007 and February 2014. Results: A total of 26 children (16 males; 1.6/1) were included: 8 of unknown etiology and 18 with a genetic/structural-metabolic causes. Unknown etiology cases revealed normal brain MRI in 5/8 (62.5%). In the genetic/ structural-metabolic group, only 2/18 (11.1%) had normal imaging. Abnormal imaging findings significantly correlated with genetic/structural-metabolic infantile spasm which had unfavorable neurodevelopmental outcome. Conclusion: Neuroimaging conveys substantial information to the further categorization of children with infantile spasm, providing not only relevant information of the underlying cause but also the prediction of the neurodevelopmental outcome.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".