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Record W4402217890 · doi:10.1136/jnis-2024-esmint.105

P068 Retrieval of a dislocated coil in the M2 segment using a stent retriever

2024· article· en· W4402217890 on OpenAlexaboutno aff
Flavio Andresciani, Giuseppe Pelle, Massimo Messina, Ermanno Notarianni, Cesare Ambrogi

Bibliographic record

VenueAbstracts · 2024
Typearticle
Languageen
FieldMedicine
TopicAdvanced MRI Techniques and Applications
Canadian institutionsnot available
Fundersnot available
KeywordsElectromagnetic coilLabrador RetrieverComputer scienceMedicineSurgeryEngineeringElectrical engineering

Abstract

fetched live from OpenAlex

<h3>Introduction</h3> 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. <h3>Case Description</h3> 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). <h3>Results</h3> 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. <h3>Disclosure of Interest</h3> no.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.272
Threshold uncertainty score0.200

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.046
GPT teacher head0.355
Teacher spread0.309 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2024
Admission routes1
Has abstractyes

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