Short-lasting unilateral neuralgiform headache attacks with conjunctival injection and tearing-like attacks in a pediatric patient found to have a pontine capillary telangiectasia and developmental venous anomaly: A case report exploring the root of the problem
Bibliographic record
Abstract
Introduction Short-lasting unilateral neuralgiform headache attacks with conjunctival injection and tearing (SUNCT)-like attacks are rarely reported in the pediatric population and may remain undiagnosed and under-investigated as a result. Case presentation We present a case of a 15-year-old male with intermittent, episodic, right-sided brief headaches most in keeping with SUNCT, initially diagnosed as paroxysmal hemicrania, but with no response to indomethacin. The pain was likewise not responsive to typical migraine treatments or steroids. Management and outcome Contrast-enhanced magnetic resonance imaging demonstrated a right pontine capillary telangiectasia with an associated developmental venous anomaly that was adjacent to the root of the right trigeminal nerve. Differential diagnosis included first division trigeminal neuralgia with autonomic features. The patient's pain was partially alleviated by oxygen administration and responded well to carbamazepine; he remained pain free on carbamazepine a year later. Conclusion This case highlights the diagnostic dilemma of differentiating SUNCT from trigeminal neuralgia with autonomic features, both of which are rare diagnoses in pediatric patients, and the importance of appropriate neuroimaging to rule out secondary causes in patients presenting with trigeminal autonomic cephalalgias, recognizing that abnormalities identified on neuroimaging, such as vessels adjacent to the trigeminal nerve, may not be causative findings.
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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 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".