Utility of brain MRI in children with sleep‐disordered breathing
Bibliographic record
Abstract
OBJECTIVES/HYPOTHESIS: To investigate the utility of a brain magnetic resonance imaging (MRI) in children with sleep-disordered breathing (SDB), classified as isolated obstructive sleep apnea (OSA) in the absence of adenotonsillar hypertrophy, persistent OSA following adenotonsillectomy, isolated central sleep apnea (CSA) of unclear etiology, OSA with coexisting CSA of unclear etiology, or unexplained nocturnal hypoventilation (NH). STUDY DESIGN: Retrospective chart review of polysomnography (PSG) and brain MRI data. METHODS: Children with PSG evidence of SDB, as described above, and who subsequently had their first brain MRI, were included. PSG, MRI data, and subsequent interventions were recorded. RESULTS: A total of 59 of 6,087 (1%) children met inclusion criteria. Of those, 28 of 59 (47%) were nonsyndromic children and 31 of 59 (53%) were syndromic children with an underlying medical disorder. Abnormal brain MRI findings were observed in 19 of 59 (32%) children, where eight of 19 (42%) were nonsyndromic and 11 of 19 (58%) were syndromic. Abnormal brain MRI findings were most common in syndromic children with combined OSA and CSA without adenotonsillar hypertrophy. Isolated OSA was also a common PSG finding associated with an abnormal brain MRI. Of the nonsyndromic children with an abnormal brain MRI, the most common abnormal brain MRI finding was Chiari malformation (CM), observed in 88% of the group. A brainstem tumor was identified in one nonsyndromic child. Interventions following brain MRI included neurosurgery, chemotherapy, and noninvasive positive pressure ventilation (NiPPV). CONCLUSION: A brain MRI is an important diagnostic tool in syndromic and nonsyndromic children, especially in children with either isolated OSA or combined OSA and CSA without a clear etiology. LEVEL OF EVIDENCE: 4. Laryngoscope, 2016 127:513-519, 2017.
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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 | 0.001 | 0.000 |
| 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".