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Record W2263573963 · doi:10.1148/radiol.2016151827

Acute Symptomatic Basilar Artery Stenosis: MR Imaging Predictors of Early Neurologic Deterioration and Long-term Outcomes

2016· article· en· W2263573963 on OpenAlexaboutno aff
Woo‐Jin Lee, Keun‐Hwa Jung, Young Jin Ryu, Keon‐Joo Lee, Soon‐Tae Lee, Kon Chu, Sang Kun Lee, Jae‐Kyu Roh

Bibliographic record

VenueRadiology · 2016
Typearticle
Languageen
FieldMedicine
TopicAcute Ischemic Stroke Management
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineFluid-attenuated inversion recoveryBasilar arteryModified Rankin ScaleStenosisMagnetic resonance imagingStroke (engine)CardiologyInternal medicineLogistic regressionMiddle cerebral arteryRadiologySurgeryIschemiaIschemic stroke

Abstract

fetched live from OpenAlex

Purpose To determine clinical, laboratory, and radiologic factors associated with early neurologic deterioration (END) and long-term outcomes in patients with medically treated symptomatic basilar artery stenosis (BAS). Materials and Methods The study design was approved by the institutional review board. From a database of all consecutive patients with cerebrovascular ischemia, the authors retrospectively included 292 patients with medically treated symptomatic BAS with at least 70% stenosis of the basilar artery. The authors evaluated various clinical factors, including National Institutes of Health Stroke Scale (NIHSS) score, C-reactive protein (CRP) level, fibrinogen level, and radiologic factors, including diffusion-weighted (DW) magnetic resonance (MR) imaging-based posterior circulation Alberta Stroke Program Early CT Score (pc-ASPECTS), hyperintense basilar artery at fluid-attenuated inversion recovery (FLAIR) imaging (FLAIR-hyperintense vessel [FHV]), and clot signs. The outcomes were defined as the development of END and with the 90-day modified Rankin Scale score (favorable score: 0-2). The authors performed a χ(2) test, followed by logistic regression analysis, to identify independent outcome predictors. Results The development of END was highly correlated with unfavorable 90-day modified Rankin Scale score (P < .001). The significant predictors for END were CRP level of at least 1.5 mg/dL (P < .001), NIHSS score of at least 4 (P = .002), pc-ASPECTS of 6 or less (P < .001), and proximal FHV (P = .022). Proximal FHV (P = .010), pc-ASPECTS of 6 or less (P = .002), brainstem involvement (P = .036), and NIHSS score of at least 4 (P < .001) were associated with an unfavorable 90-day modified Rankin Scale score. Neither aggressive medical treatment nor delayed intervention was associated with a favorable 90-day modified Rankin Scale score. Conclusion In medically treated symptomatic BAS, MR imaging parameters such as proximal basilar FHV and DW imaging-based pc-ASPECTS have independent prognostic values for END development and long-term outcomes. (©) RSNA, 2016.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.068
Threshold uncertainty score0.396

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 head0.011
GPT teacher head0.248
Teacher spread0.237 · 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

Citations17
Published2016
Admission routes1
Has abstractyes

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