Selective treatment of an anterior spinal artery aneurysm with endosaccular coil therapy
Bibliographic record
Abstract
The authors report the case of a 12-year-old boy with spinal cord arteriovenous malformation (AVM) and an associated anterior spinal artery (ASA) aneurysm treated with selective coil placement in the context of subarachnoid hemorrhage (SAH). The patient presented with headache. Head computed tomography scanning revealed no abnormal findings. The cerebrospinal fluid was sampled and analyzed and a diagnosis of SAH was established. Investigation, including magnetic resonance imaging of the cord as well as cerebral and spinal angiography, revealed a conus medullaris AVM and a saccular aneurysm located on the ASA at the T-11 level. The aneurysm was thought to be responsible for the bleeding. Superselective ASA angiography showed that the aneurysm was at the bifurcation between a large coronal artery supplying the AVM and the ASA. The relation of the aneurysm's neck to the main spinal axis and the aneurysm's morphological features indicated that the lesion was suited for endosaccular coil therapy. The aneurysm was selectively occluded, using electrodetachable bare platinum coils. Follow-up angiography immediately after surgery and at 6 months thereafter demonstrated complete occlusion of the aneurysm and a perfectly patent anterior spinal axis. On clinical follow-up examination, the patient remained neurologically intact. When the morphological features of a spinal aneurysm and its relation with the anterior spinal axis are favorable, selective endosaccular coil placement can successfully be achieved.
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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 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".