MRI features of pediatric multiple sclerosis
Bibliographic record
Abstract
BACKGROUND: MRI has revolutionized the diagnostic accuracy of multiple sclerosis (MS) in adults, and is now used extensively to evaluate efficacy of immunomodulatory therapies. Although MRI has also been used to aid in the diagnosis and care of children with MS, the MRI features of MS in children are less well understood. METHODS: The present review summarizes the available literature on MRI in pediatric MS, outlines the specific features of other disorders affecting the CNS white matter in children, compares the MRI appearance of MS in children to seminal neuroimaging studies in adult-onset MS, and discusses the potential role of advanced MRI technologies in delineating the underlying pathobiology of acquired demyelinating disease in children. RESULTS: Although the MRI features of MS in children have similarity to adult-onset MS, children tend to have fewer lesions and a lower propensity for lesions to enhance with gadolinium. The MRI findings in children presenting with a clinical phenotype of acute disseminated encephalomyelitis may be indistinguishable from the first attack of MS. CONCLUSIONS: MRI criteria specific for pediatric-onset multiple sclerosis (MS) and criteria predictive of MS outcome in children experiencing a first demyelinating event will be challenged by the overlap in MRI features between acute monophasic demyelinating syndromes and MS, particularly in younger children. Emergence of new clinically silent lesions on MRI scans separated by at least 3 months is characteristic of MS. Newer MRI techniques evaluating white matter biochemistry and integrity in the youngest MS patients may provide new insights into the relative contributions of inflammation and neurodegeneration in MS.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".