Endovascular management of a complex intracranial internal carotid artery dissection in an adolescent
Bibliographic record
Abstract
Background Blunt cerebrovascular injury is an important cause of morbidity and mortality following head trauma . Intracranial vessel dissections, carotid-cavernous fistulae, and pseudo-aneurysms are uncommon traumatic vascular lesions with limited evidence to guide endovascular management. Case description We describe the case of a sixteen year old male patient suffering a traumatic paraclinoidal internal carotid artery (ICA) dissection with carotid-cavernous fistula and ophthalmic artery pseudo-aneurysm. Repeat angiography demonstrated worsening dissection prompting an endovascular parent vessel sacrifice following a passed balloon test occlusion. Relevant imaging is included. Conclusions Amongst new and developing stenting technologies as well as complex surgical solutions, utilizing a modern endovascular adaptation of simple Hunterian ligation to treat a complex multi-pronged pathology may in some cases represent the best available option. Given the limited published literature, our diagnostic and treatment approach may be informative to clinicians as well as inform an evidence based management approach in similar complex intracranial vascular injuries .
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".