Ocular Neuromyotonia in Children and Adolescents Following Radiation Treatment of Pediatric Brain Tumors
Bibliographic record
Abstract
Purpose: To report five cases of ocular neuromyotonia in children and adolescents following radiation therapy for a variety of pediatric brain tumors. Notably, three cases occurred in children younger than 11 years. Methods: Case series of five patients with ocular neuromyotonia following proton beam therapy or conventional radiation. Results: Five cases of ocular neuromyotonia were identified following radiation treatment of various pediatric brain tumors. Onset ranged from 5 to 142 months after radiation treatment. The abducens nerve/lateral rectus muscle was affected in three patients, and the trochlear nerve/superior oblique muscle was affected in two patients. Ages at symptom presentation were 4 years (intermittent head tilt), 9 years (intermittent blurry vision and head tilt), 10 years (intermittent blurry vision progressing to intermittent diplopia), 15 years (intermittent diplopia), and 17 years (intermittent diplopia). One patient improved with gabapentin. Two patients experienced spontaneous resolution. One patient died due to meta-static disease, and one patient has planned follow-up. Conclusions: Ocular neuromyotonia occurs most commonly following radiation to the brain and skull base. Clinicians need to be aware that ocular neuromyotonia presents differently in children (who may not report diplopia) than in adults or adolescents (who typically report diplopia). Two children in this series never reported diplopia, only intermittent head tilt and blurry vision. Ocular neuromyotonia requires a high index of suspicion to diagnose, especially in children. Membrane stabilizers can be used effectively, but observation may be a valid option in children because spontaneous resolution was seen. [ J Pediatr Ophthalmol Strabismus . 2022;59(5):338–343.]
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 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".