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Endovascular Trapping of a Vertebral Artery Segment to Control PICA Origin Tearing

2008· article· en· W2157124103 on OpenAlexaff
Thanh N. Nguyen, Daniel Roy, F Guilbert, Jean Raymond, Alain Weill

Bibliographic record

VenueJournal of Neuroimaging · 2008
Typearticle
Languageen
FieldMedicine
TopicIntracranial Aneurysms: Treatment and Complications
Canadian institutionsCentre Hospitalier de l’Université de MontréalHôpital Notre-Dame
Fundersnot available
KeywordsMedicineAneurysmSubarachnoid hemorrhageVertebral arteryPerforationSurgeryBalloonRadiologyPica (typography)DysphagiaPerforating arteries

Abstract

fetched live from OpenAlex

UNLABELLED: Iatrogenic perforation or rupture during aneurysm coiling can be difficult to manage and may lead to fatal bleeding. We describe a lifesaving technique of isolating the subarachnoid segment of the vertebral artery using two balloons to trap flow to a ruptured PICA aneurysm allowing time to coil the parent artery with the aneurysm. CASE: A 58-year-old woman presented with Hunt Hess Grade 3 subarachnoid hemorrhage due to a 3 mm left PICA aneurysm. During placement of the first coil, aneurysm perforation was noted. Despite conventional measures to manage the perforation (anticoagulation reversal, balloon inflation, placement of a second coil, and ventricular drain), contrast extravasation persisted after 45 minutes. A second balloon was positioned via the right vertebral artery at the right vertebrobasilar junction and inflated. The first balloon was pulled back, inflated, allowing trapping of the ruptured site. The aneurysm and adjacent vertebral segment were rapidly coiled to occlude the ruptured site under local flow arrest. The patient awoke with dysarthria, left-sided hemiparesis and dysphagia. CONCLUSION: Trapping an arterial segment with two balloons may help in the management of PICA origin aneurysm perforation refractory to medical and current endovascular strategies. This technique, while potentially lifesaving, may engender ischemic complications.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.865
Threshold uncertainty score0.377

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 head0.031
GPT teacher head0.265
Teacher spread0.234 · 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

Citations1
Published2008
Admission routes1
Has abstractyes

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