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Record W4406993451 · doi:10.1161/str.56.suppl_1.wmp85

Abstract WMP85: Site vs Core-lab CT ASPECTS read in the SELECT2 trial – assessment of trial eligibility and EVT treatment effect

2025· article· en· W4406993451 on OpenAlexaff
Faisal Al‐Shaibi, Deep Pujara, Ameer E Hassan, Michael Abraham, Clark Sitton, Muhammad Shazam Hussain, Thanh N. Nguyen, Santiago Ortega-Gutierrez, Michael Chen, Yazid Saidi, Mohammed Albedaiwi, Bassam Yaghmoor, Alhassin Al Mostaneer, Hannah Johns, Leonid Churilov, Mark Parsons, James Grotta, Marc Ribó, Michael D. Hill, Bruce Campbell, Amrou Sarraj

Bibliographic record

VenueStroke · 2025
Typearticle
Languageen
FieldMedicine
TopicRadiomics and Machine Learning in Medical Imaging
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsMedicineClinical trialCore (optical fiber)Randomized controlled trialNuclear medicineInternal medicine

Abstract

fetched live from OpenAlex

Introduction: Eligibility for clinical trial enrollment is often determined by site investigators with subsequent re-adjudication by an imaging core lab. We sought to assess the differences between site-investigator reported CT ASPECTS with core lab adjudication, and how these differences affected trial eligibility and endovascular thrombectomy (EVT) treatment effect. Methods: Absolute and relative differences between site and core-lab reported CT ASPECTS were recorded in the SELECT2 randomized trial. The agreement between measures was illustrated using Bland-Altman plots. Cases with extreme discordance were further examined for differences in baseline characteristics, as well as whether trial eligibility and EVT treatment effect were impacted. Results: Of 352 enrolled, 346 patients had both site and core-lab ASPECTS available for evaluation. Median (IQR) values for site ASPECTS, core lab ASPECTS and the difference between site and core-lab ASPECTS were 4 (3, 5), 4 (3, 5) and 0 (-1, 1). Mean (95% CI) difference between site and core-lab ASPECTS was -0.03 (-0.19, 0.13), with higher limit of agreement at 2.83 and lower limit of agreement at -2.9 – Fig 1. Significant disagreement of ≥3-point difference between site ASPECTS and core-lab ASPECTS was observed in 25 (7%) patients, with 14 having site ASPECTS ≥ 3 points higher and 11 having core-lab ASPECTS ≥ 3 points higher. EVT treatment effect was maintained based on site ASPECTS reads of 3-5 (aGenOR: 1.48, 95% CI: 1.16 to 1.89, p-value: 0.001) without significant heterogeneity as compared to other ASPECTS strata (p-interaction: 0.69) (Figure 2). In a sensitivity analysis excluding potential ineligible patients based on core lab reads [a) with core lab CT ASPECTS 0-2 and b) with core lab CT ASPECTS 6-10 and ischemic core estimates of <50ml], EVT treatment effect was maintained among patients with site read CT ASPECTS of 3-5 (aGenOR: 1.72, 95% CI: 1.26-2.34, p=0.001). Conclusions: Site investigator reads and core lab reads for ASPECTS score largely mirrored each other, with very low mean and median differences. Significant disagreement (≥3 points) between site and core-lab reads was limited and occurred in ~7% of cases. EVT benefit and treatment effect were maintained based on eligibility by investigators’ reads without heterogeneity in different ASPECTS strata.

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)0.026
metaresearch head score (Gemma)0.041
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: Methods · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.974
Threshold uncertainty score0.136

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0260.041
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0090.001

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 head0.382
Teacher spread0.367 · 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.

Study designObservational
DomainMethods
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

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