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Record W2104665287 · doi:10.1001/archneurol.2012.1310

Fluid-Attenuated Inversion Recovery Vascular Hyperintensity

2012· article· en· W2104665287 on OpenAlexaboutno aff
Stéphane Olindo, Nicolas Chausson, Julien Joux, Martine Saint-Vil, Aïssatou Signaté, Mireille Edimonana-Kaptue, S. Jeannin, Mehdi Mejdoubi, M. Aveillan, Philippe Cabre, Didier Smadja

Bibliographic record

VenueArchives of Neurology · 2012
Typearticle
Languageen
FieldMedicine
TopicAcute Ischemic Stroke Management
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineModified Rankin ScaleThrombolysisMiddle cerebral arteryHyperintensityCardiologyMagnetic resonance imagingFluid-attenuated inversion recoveryStroke (engine)Internal medicineOcclusionCerebral infarctionRadiologyIschemic strokeIschemiaMyocardial infarction

Abstract

fetched live from OpenAlex

BACKGROUND: Few data are available on the relationship between fluid-attenuated inversion recovery vascular hyperintensities and proximal middle cerebral artery occlusion prognosis. OBJECTIVES: To assess a fluid-attenuated inversion recovery vascular hyperintensities score (FVHS) and explore its relationship with recanalization status and clinical outcomes after intravenous thrombolysis. DESIGN: Retrospective study. SETTING: Stroke unit in a university hospital. PATIENTS: Consecutive patients with proximal middle cerebral artery occlusion, thrombolysed within 6 hours, were selected from our prospective database. The FVHS (range,0-10; divided into low, medium, and high thirds) was quantified on the magnetic resonance image obtained at admission. Recanalization rates, infarction size (Alberta Stroke Program Early CT Score applied to diffusion weighted imaging [ASPECTS-DWI]), and 3-month functional outcomes (modified Rankin Scale score) were determined. Poor outcomes and large infarctions were defined as a modified Rankin Scale score higher than 2and an ASPECTS-DWI score of 5 or lower, respectively. MAIN OUTCOME MEASURES: Interaction among FVHS,recanalization status, and outcomes. RESULTS: Thirty-four patients had a low FVHS (4), 32 had a medium FVHS (5 or 6), and 39 had a high FVHS (≥7). The rate of poor functional outcome (modified Rankin Scale score >2) was higher for the group with low FVHSs than those with medium FVHSs and high FVHSs(82.3% vs 43.7% and 43.5%, respectively; P.001). Therate of 24-hour large infarctions(ASPECTS-DWI score 5)was higher for those with low FVHSs than those with medium and high FVHSs (88.2% vs 56.2% and 51.3%, respectively;P=.002). The recanalization rate was not associated with FVHS. Multivariate analysis retained low FVHS as an independent early predictor of poor clinical outcome (odds ratio=9.91; 95% CI, 2.01-48.93; P=.004)and large infarction (odds ratio=6.99; 95% CI, 1.78-27.46; P=.005).Low FVHS remained associated with poor outcomes regardless of recanalization status. Early recanalization in patients with a low FVHS decreased the poor functional outcome rate from 100% to 64.7% (P=.02). CONCLUSIONS: The FVHS is an early independent prognostic marker for patients with proximal middle cerebral artery occlusion. Synergy between FVHS and recanalization status appears to be a critical determinant of final outcomes, supporting intensive reperfusion treatment for patients with a low FVHS.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.593
Threshold uncertainty score0.374

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 head0.015
GPT teacher head0.228
Teacher spread0.213 · 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 designObservational
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

Citations45
Published2012
Admission routes1
Has abstractyes

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