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Record W4391439479 · doi:10.1161/str.55.suppl_1.tmp93

Abstract TMP93: Severe Non-Contrast CT Hypodensity Modifies EVT Treatment Effect and is Associated With Worse Outcomes Independent of Ischemic Core Volume: <i>A Secondary Analysis of the SELECT2 Trial</i>

2024· article· en· W4391439479 on OpenAlexaff
Vignan Yogendrakumar, Hannah Johns, Leonid Churilov, Felix Ng, Ameer E Hassan, Michael Abraham, Santiago Ortega‐Gutiérrez, Muhammad Shazam Hussain, Michael Chen, Clark Sitton, Scott E. Kasner, Prodipta Guha, Gagan Sharma, Deep Pujara, Vítor Mendes Pereira, Maarten G. Lansberg, Lawrence R. Wechsler, Thanh N. Nguyen, Michael D. Hill, Marc Ribó, Mark Parsons, Stephen M. Davis, James C. Grotta, Gregory W. Albers, Bruce Campbell, Amrou Sarraj

Bibliographic record

VenueStroke · 2024
Typearticle
Languageen
FieldEngineering
TopicAdvanced X-ray and CT Imaging
Canadian institutionsUniversity of CalgaryToronto Western Hospital
Fundersnot available
KeywordsMedicineIschemic strokeNuclear medicineStroke (engine)Internal medicineCardiologyIschemia

Abstract

fetched live from OpenAlex

Introduction: Endovascular thrombectomy (EVT) reduces disability in patients with large ischemic core stroke. Increasing core volume is prognostic but does not modify treatment effect. CT hypodensity can vary within an area of core. We assessed the relationship between the severity of CT core hypodensity and clinical outcome in the SELECT2 trial. Methods: Non-contrast CT ischemic core was drawn manually by two blinded investigators with consensus review by a third investigator. An absolute Hounsfield unit (HU) threshold for severe hypodensity was set at the lower 99% confidence interval [CI] for normal contralateral thalamic grey matter. Outcomes assessed included ordinal mRS, functional independence (mRS 0-2), independent ambulation (mRS 0-3), and mortality at 90 days. The association between the volume of severe hypodensity and outcome was adjusted for age, baseline NIHSS, and total baseline core volume, via logistic and proportional odds models with treatment*hypodensity interaction. Results: Of 317 assessable patients, the median hypodensity of ischemic core was 31HU (IQR 28-33). Median density of normal thalamus was 38HU. The severe hypodensity threshold (lower 99% CI) was 26HU with median volume affected 14mL (IQR 5.6-29.2) or median 19% (IQR 9-35%) of the total hypodensity volume. The volume of core ≤26HU (per 1 mL increase) was associated with a 90-day mRS shift towards worse outcomes in EVT patients (n=161, adjusted common odds ratio, acOR 1.03, 95%CI 1.01-1.05) but not medical management ([MM], n=156, acOR 1.00, 95%CI 0.98-1.02, p-interaction 0.005); lower functional independence in EVT (aOR 0.96 95%CI 0.93-0.99) but not MM (aOR 1.02, 95%CI 0.99-1.06, p-interaction 0.004); lower independent ambulation in EVT (aOR 0.97, 95%CI 0.94-0.99) but not MM (aOR 1.01, 95%CI 0.98-1.04, p-interaction 0.002) and higher mortality in EVT (aOR 1.03, 95%CI 1.01-1.05) but not MM (aOR 1.00, 95%CI 0.98-1.02, p-interaction 0.02). Conclusion: In patients with large ischemic core, areas of significant CT hypodensity are associated with worse clinical outcomes after EVT but not MM. This is independent of total core volume and modifies the treatment effect of EVT. This may improve prognostic decision-making and drive developments in automated image processing.

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 score0.084
Threshold uncertainty score0.662

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.006
GPT teacher head0.220
Teacher spread0.214 · 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

Citations0
Published2024
Admission routes1
Has abstractyes

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