MétaCan
Menu
Back to cohort

Multiphase CTA Collateral Circulation is an Excellent CT Indicator than CT ASPECTS in Predicting Clinical Outcome in Acute Ischemic Stroke

2025· article· en· W4413086019 on OpenAlexaboutno aff

Bibliographic record

VenueJournal of the Medical Association of Thailand · 2025
Typearticle
Languageen
FieldMedicine
TopicAcute Ischemic Stroke Management
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineCollateral circulationStroke (engine)Univariate analysisCollateralAngiographyRadiologyComputed tomography angiographyModified Rankin ScaleRetrospective cohort studyInternal medicineCardiologyIschemiaIschemic strokeMultivariate analysis

Abstract

fetched live from OpenAlex

Objective: The prognosis of acute ischemic stroke patients is influenced by collateral vasculature. The present study aimed to evaluate the predictive value of the initial collateral circulation score (ICS) obtained from multiphase computed tomography angiography (mCTA) in determining clinical outcomes. The authors hypothesized that the initial mCTA collateral circulation score may serve as a superior predictor of clinical outcomes compared to the CT Alberta Stroke Program Early CT Score (ASPECTS). Additionally, the first phase CTA ASPECTS (f-CTA ASPECTS) derived from mCTA may offer enhanced predictive accuracy over the CT ASPECTS. Materials and Methods: The authors conducted a retrospective analysis of 300 patients diagnosed with acute ischemic stroke between 2020 and 2021. Collateral scores were assessed using mCTA, and the first phase CTA ASPECTS score was also evaluated. Clinical outcomes were measured using the modified Rankin Scale (mRS) at hospital discharge, categorizing outcomes as good with mRS 0 to 2, or poor with mRS 3 to 6. Both univariate and multiple linear regression models were employed to predict patient outcomes. Results: Univariate analysis demonstrated a significant association between both the collateral score and first phase CTA ASPECTS with clinical outcomes. However, in the multiple linear regression model, only the CTA ASPECTS emerged as a significant predictor of discharge mRS. The model accounted for 45.7% of the variance in mRS at discharge. A comparison of the reperfusion and non-reperfusion groups with good collateral scores revealed no significant difference in discharge mRS outcomes (p=0.954). Conclusion: While both the collateral score and the first phase CTA ASPECTS were associated with clinical outcomes, only the first phase CTA ASPECTS was a statistically significant predictor of mRS at discharge. The absence of a difference in mRS outcomes between reperfusion and non-reperfusion groups among patients with initially good collateral scores on mCTA suggested that aggressive reperfusion procedures may not always be warranted.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.009
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.020
GPT teacher head0.334
Teacher spread0.314 · 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 source (direct Gemma or distilled Codex), 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

Citations0
Published2025
Admission routes1
Has abstractyes

Explore more

Same venueJournal of the Medical Association of ThailandSame topicAcute Ischemic Stroke ManagementFrench-language works237,207