Correlative value of magnetic resonance imaging for neurodevelopmental outcome in periventricular leukomalacia
Bibliographic record
Abstract
The aim of this study was to evaluate the correlative value of magnetic resonance imaging (MRI) in children with periventricular leukomalacia (PVL) for neurodevelopmental outcome. MRI examinations of 89 children (46 males, 43 females) with PVL (median age 4y, range 1 to 14y) were reevaluated. PVL was graded as follows: grade I, unilateral or bilateral areas of periventricular hyperintensity (1–3); grade II, hyperintensity more than 3; grade III, hyperintense lesions more than 3 and ventricular wall irregularity; grade IV, diffuse PVL and ventricular dilatation. Localizations of PVL and brain abnormalities associated with PVL were also noted. Assignment to PVL grades on MRI was as follows: PVL I (n=22), PVL II (n=18), PVL III (n=30), and PVL IV (n=19). Cerebral palsy was slightly less common in children with PVL I and II compared with PVL III to IV. Motor function was normal in 50% of children with PVL grade I, but severely impaired in 73.7% of children with PVL grade IV. Results of visual function were normal in all with PVL I, but pathological in 42.1% of patients with PVL IV. Developmental tests were appropriate for age in 75% of patients with PVL I, but significantly delayed in all patients with PVL IV. Thinning of the corpus callosum and presence of cortical atrophy were also correlated with neurological outcome. Significant risk factors associated with developmental delay were asphyxia at birth (odds ratio [OR] 4.3), PVL localization numbers over 3 (OR 4.4), PVL III to IV (OR 15), thinning of corpus callosum, and cortical atrophy.
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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 | 0.007 |
| 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 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".