ABSTRACT NUMBER: ESOC2026A1509 NONCONTRAST CT–BASED AI INFARCT CORE VOLUME THRESHOLDS IN ACUTE ISCHEMIC STROKE UNDER REPERFUSION THERAPIES

Abstract Background and aims CTP has been used to guide reperfusion selection in late-window stroke. Recently, AI-based infarct core volume estimation on NCCT (AI-ICV, Methinks) has been associated to clinical outcomes. We investigated the association between AI-ICV, CTP-patterns, and outcomes in reperfused stroke patients. Methods Consecutive patients undergoing admission NCCT+CTP and treated with reperfusion-therapies (EVT and/or IVT) were collected from a prospective registry across three stroke-centers (January 2021–May 2024). Admission AI-ICV was categorized as favorable (≤35 mL) or unfavorable (>35 mL) based on prior observations. CTP-patterns were automatically determined (rCBF<30%; RAPID/IschemiaView) and categorized per EXTEND criteria as favorable or unfavorable. Late-window thrombolysis was defined as symptom onset–to–arrival >4hours. Outcomes were favorable outcome (mRS 0–2 at 3-months) and symptomatic-intracranial-hemorrhage(sICH) Results From 290 patients included (mean age 71.8 SD±14.6 years; median NIHSS 10[IQR:5–18]); 49% presented in late-window. Primary-EVT was performed in 54.1%, and 20% received IV-thrombolysis only. Favorable outcome occurred in 54.1% Overall, favorable AI-ICV was associated with favorable outcome (63.9% vs 36.0%, p<0.001) and remained independently associated after adjustment for CTP-pattern, age, and baseline NIHSS (OR 3.03, 95% CI 1.56–5.88; p=0.001, Figure1). Similar associations were observed in late-window (OR:3.91, 95% CI:1.23–12.47; p=0.021, Figure2). No association was observed between sICH and either AI-ICV or CTP-pattern. Conclusions Among reperfusion treated patients with available CTP, favorable AI-ICV on NCCT independently predicted favorable outcome, including in late-window, These finding support further evaluation of AI-ICV-based selection for reperfusion therapies, particularly late-window thrombolysis Conflict of interest Dr Ortega-Gutierrez: Grants: NIH-NINDS (R01NS127114-01, R03NS126804), PCORI, Stryker, Medtronics, Microvention, IschemiaView, Viz.ai, and Siemens. Consultant: Medtronic and Stryker Neurovascular. Dr Ribó is the Chief Medical Office of Methinks and has equity interests. Consultant: AptaTargets, Cerenovus, Medtronic, Philips, Stryker. Stock: Anaconda, Nora Figure 1 - belongs to Results Figure 2 - belongs to Results

Authors

Institutions

Publication Details

Journal
European Stroke Journal
Published
2026-05-01
DOI
https://doi.org/10.1093/esj/aakag023.729
Primary Topic
Acute Ischemic Stroke Management
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

ABSTRACT NUMBER: ESOC2026A1509 NONCONTRAST CT–BASED AI INFARCT CORE VOLUME THRESHOLDS IN ACUTE ISCHEMIC STROKE UNDER REPERFUSION THERAPIES

Ylènia Avivar Sáez, N. Abdelhakim, Laia Seró, Xavier Ustrell Roig et al.
European Stroke Journal
Acute Ischemic Stroke Management
article

ABSTRACT NUMBER: ESOC2026A1509 NONCONTRAST CT–BASED AI INFARCT CORE VOLUME THRESHOLDS IN ACUTE ISCHEMIC STROKE UNDER REPERFUSION THERAPIES

Ylènia Avivar Sáez, N. Abdelhakim, Laia Seró, Xavier Ustrell Roig, alan Flores, Antoni Suarez, Leonardo Cruz-Criollo, Marta Rubiera, Marc Ribo, Santiago Ortega-Gutierrez
article en

Abstract

Abstract Background and aims CTP has been used to guide reperfusion selection in late-window stroke. Recently, AI-based infarct core volume estimation on NCCT (AI-ICV, Methinks) has been associated to clinical outcomes. We investigated the association between AI-ICV, CTP-patterns, and outcomes in reperfused stroke patients. Methods Consecutive patients undergoing admission NCCT+CTP and treated with reperfusion-therapies (EVT and/or IVT) were collected from a prospective registry across three stroke-centers (January 2021–May 2024). Admission AI-ICV was categorized as favorable (≤35 mL) or unfavorable (>35 mL) based on prior observations. CTP-patterns were automatically determined (rCBF<30%; RAPID/IschemiaView) and categorized per EXTEND criteria as favorable or unfavorable. Late-window thrombolysis was defined as symptom onset–to–arrival >4hours. Outcomes were favorable outcome (mRS 0–2 at 3-months) and symptomatic-intracranial-hemorrhage(sICH) Results From 290 patients included (mean age 71.8 SD±14.6 years; median NIHSS 10[IQR:5–18]); 49% presented in late-window. Primary-EVT was performed in 54.1%, and 20% received IV-thrombolysis only. Favorable outcome occurred in 54.1% Overall, favorable AI-ICV was associated with favorable outcome (63.9% vs 36.0%, p<0.001) and remained independently associated after adjustment for CTP-pattern, age, and baseline NIHSS (OR 3.03, 95% CI 1.56–5.88; p=0.001, Figure1). Similar associations were observed in late-window (OR:3.91, 95% CI:1.23–12.47; p=0.021, Figure2). No association was observed between sICH and either AI-ICV or CTP-pattern. Conclusions Among reperfusion treated patients with available CTP, favorable AI-ICV on NCCT independently predicted favorable outcome, including in late-window, These finding support further evaluation of AI-ICV-based selection for reperfusion therapies, particularly late-window thrombolysis Conflict of interest Dr Ortega-Gutierrez: Grants: NIH-NINDS (R01NS127114-01, R03NS126804), PCORI, Stryker, Medtronics, Microvention, IschemiaView, Viz.ai, and Siemens. Consultant: Medtronic and Stryker Neurovascular. Dr Ribó is the Chief Medical Office of Methinks and has equity interests. Consultant: AptaTargets, Cerenovus, Medtronic, Philips, Stryker. Stock: Anaconda, Nora Figure 1 - belongs to Results Figure 2 - belongs to Results

European Stroke JournalVol. 11(Supplement_1)
University of Iowa (US), Vall d'Hebron Hospital Universitari (ES), Hospital Universitari Joan XXIII de Tarragona (ES)
Openalex Percentile: Top 9%
Acute Ischemic Stroke Management
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.