Malignant clinical course of mycotic intracranial aneurysms in children: A review
Bibliographic record
Abstract
Background: Mycotic aneurysms are a rare in the pediatric population. The natural history of these lesions and their appropriate management strategies is controversial. Case Description: A 13-year-old male presented with the sudden onset of a headache, vomiting, and fever. Inflammatory markers were elevated, and the blood culture was positive for Streptococcus viridans. When the computed tomography angiography (CTA) showed a ruptured mycotic aneurysm accompanied by multiple small unruptured aneurysms, he was started on antibiotics and underwent an urgent craniotomy. Despite negative blood cultures, the follow-up CTA showed further enlargement of the previously diagnosed aneurysms and a new right frontal aneurysm. The second and third craniotomies were, respectively, performed to resect the additional aneurysms. Pathologically, both aneurysmal walls were markedly inflamed and attenuated, suggesting the imminent risk of aneurysmal rupture. Following the total of three craniotomies, the patient had an uneventful postoperative course. Within 2 weeks, he regained baseline neurological function. Conclusion: Mycotic aneurysms in children may follow a very malignant course. Aneurysms may grow, new ones may form, and repeated CTAs are required to direct further follow-up treatment.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| 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".