P068 Retrieval of a dislocated coil in the M2 segment using a stent retriever
Bibliographic record
Abstract
Introduction Coil embolization is a major modality for treating intracranial aneurysms: coils protrusion or migration is a possible frightening intra or peri-procedural complication, which need proper treatment to avoid ischemic sequelae. Case Description A 54 -year-old woman came to the emergency department referring acute onset headache. Emergency brain CT scan showed subarachnoid hemorrhage in the left Silvian scissure and in the peri-mesencephalic cistern. CT angiography exam was performed, which showed an aneurysm of 3x2 mm of the internal carotid artery at the level of the posterior communicating segment (A-B). A balloon assisted remodeling was performed (C), using a Scepter XC balloon catheter (Microvention) and a 2 x 3 mm Target 360 coil (Striker). After balloon deflation, the coil migrated distally, at the level of the superior left M2 segment (D). After several attempts, the migrated coil was successfully retrieved with a 4 mm stent-retriever (Trevo - Striker) (E-G). The aneurysm was then successfully embolized using a 2.5 x 3 mm Target 360 coil (Striker) (F). The Patient recovered completely within 6 months, without any ischemic sequelae (H). Results In this case the use of a stent-retriever ensured the prompt and successful treatment of a seriues possible complication which may occur during balloon assisted remodeling. Disclosure of Interest no.
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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 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.002 |
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".