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Automatically quantified follow-up imaging biomarkers predict clinical outcomes after acute ischemic stroke

Identifikátory výsledku

  • Kód výsledku v IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00064173%3A_____%2F25%3A43928327" target="_blank" >RIV/00064173:_____/25:43928327 - isvavai.cz</a>

  • Nalezeny alternativní kódy

    RIV/00216208:11120/25:43928327

  • Výsledek na webu

    <a href="https://doi.org/10.3389/fneur.2025.1483138" target="_blank" >https://doi.org/10.3389/fneur.2025.1483138</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.3389/fneur.2025.1483138" target="_blank" >10.3389/fneur.2025.1483138</a>

Alternativní jazyky

  • Jazyk výsledku

    angličtina

  • Název v původním jazyce

    Automatically quantified follow-up imaging biomarkers predict clinical outcomes after acute ischemic stroke

  • Popis výsledku v původním jazyce

    Background: Follow-up infarct volume (FIV) is a proposed surrogate endpoint for proof-of-concept clinical studies in acute ischemic stroke (AIS). This study aimed to provide clinical validation of an automated FIV algorithm, demonstrating the association of imaging biomarkers with clinical outcomes to support the use of these imaging endpoints in clinical trials. Methods: Data were gathered for adult AIS patients undergoing mechanical thrombectomy with follow-up imaging 12-96 h from initial assessment. Non-contrast computed tomography was used to quantify infarct volume. Image processing used the AI-powered software Brainomix 360 Stroke (Brainomix Ltd., Oxford, United Kingdom) and Brainomix core lab research software. Measures included total FIV and components-ischemic injury corrected FIV (cFIV), hemorrhagic transformation (HT), anatomical distortion (AD; a marker of edema) and infarct growth (IG). The primary clinical endpoint was modified Rankin Scale (mRS) at 90 days; secondary clinical endpoint was NIH Stroke Scale (NIHSS) score at 24 h. Results: Of 986 patients, 843 (85.5%; median age 72 years, 56.7% male) had complete data and were included in the study analysis. Median baseline NIHSS score was 17 (IQR: 12-21). Median imaging follow-up time was 24 h (IQR 20-28). Median 24 h NIHSS score was 11 (5-17); 34% of patients had mRS 0-2 at 90 days. Median FIV was 30.2 mL (12.5-120.8 mL). FIV was significantly associated with 90-day mRS (concordance = 0.819, p &lt; 0.001) and NIHSS at 24 h (concordance = 0.722, p &lt; 0.001). cFIV, HT, AD, and IG were also significantly associated with good clinical outcomes in both 90-day mRS (concordance = 0.702, p &lt; 0.001; 0.660, p &lt; 0.001; 0.591, p = 0.002; and 0.663, p &lt; 0.001, respectively) and NIHSS at 24 h (0.774, p &lt; 0.001; 0.652, p = 0.004 L; 0.694, p &lt; 0.001; and 0.716, p &lt; 0.001, respectively). In multivariate analysis, FIV remained strongly associated with 90-day mRS. FIV showed a bimodal distribution consistent with success/failure of recanalization during thrombectomy. Conclusion: Of the algorithm outputs assessed, FIV was most strongly associated with clinical outcomes. Ischemic injury, HT, edema and IG were also independently significantly associated with clinical outcome. This study validates the prognostic significance of automated FIV and its composites as mechanistic endpoints to improve early-stage trials of therapeutics in AIS.

  • Název v anglickém jazyce

    Automatically quantified follow-up imaging biomarkers predict clinical outcomes after acute ischemic stroke

  • Popis výsledku anglicky

    Background: Follow-up infarct volume (FIV) is a proposed surrogate endpoint for proof-of-concept clinical studies in acute ischemic stroke (AIS). This study aimed to provide clinical validation of an automated FIV algorithm, demonstrating the association of imaging biomarkers with clinical outcomes to support the use of these imaging endpoints in clinical trials. Methods: Data were gathered for adult AIS patients undergoing mechanical thrombectomy with follow-up imaging 12-96 h from initial assessment. Non-contrast computed tomography was used to quantify infarct volume. Image processing used the AI-powered software Brainomix 360 Stroke (Brainomix Ltd., Oxford, United Kingdom) and Brainomix core lab research software. Measures included total FIV and components-ischemic injury corrected FIV (cFIV), hemorrhagic transformation (HT), anatomical distortion (AD; a marker of edema) and infarct growth (IG). The primary clinical endpoint was modified Rankin Scale (mRS) at 90 days; secondary clinical endpoint was NIH Stroke Scale (NIHSS) score at 24 h. Results: Of 986 patients, 843 (85.5%; median age 72 years, 56.7% male) had complete data and were included in the study analysis. Median baseline NIHSS score was 17 (IQR: 12-21). Median imaging follow-up time was 24 h (IQR 20-28). Median 24 h NIHSS score was 11 (5-17); 34% of patients had mRS 0-2 at 90 days. Median FIV was 30.2 mL (12.5-120.8 mL). FIV was significantly associated with 90-day mRS (concordance = 0.819, p &lt; 0.001) and NIHSS at 24 h (concordance = 0.722, p &lt; 0.001). cFIV, HT, AD, and IG were also significantly associated with good clinical outcomes in both 90-day mRS (concordance = 0.702, p &lt; 0.001; 0.660, p &lt; 0.001; 0.591, p = 0.002; and 0.663, p &lt; 0.001, respectively) and NIHSS at 24 h (0.774, p &lt; 0.001; 0.652, p = 0.004 L; 0.694, p &lt; 0.001; and 0.716, p &lt; 0.001, respectively). In multivariate analysis, FIV remained strongly associated with 90-day mRS. FIV showed a bimodal distribution consistent with success/failure of recanalization during thrombectomy. Conclusion: Of the algorithm outputs assessed, FIV was most strongly associated with clinical outcomes. Ischemic injury, HT, edema and IG were also independently significantly associated with clinical outcome. This study validates the prognostic significance of automated FIV and its composites as mechanistic endpoints to improve early-stage trials of therapeutics in AIS.

Klasifikace

  • Druh

    J<sub>imp</sub> - Článek v periodiku v databázi Web of Science

  • CEP obor

  • OECD FORD obor

    30210 - Clinical neurology

Návaznosti výsledku

  • Projekt

  • Návaznosti

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Ostatní

  • Rok uplatnění

    2025

  • Kód důvěrnosti údajů

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Údaje specifické pro druh výsledku

  • Název periodika

    Frontiers in Neurology

  • ISSN

    1664-2295

  • e-ISSN

    1664-2295

  • Svazek periodika

    16

  • Číslo periodika v rámci svazku

    March

  • Stát vydavatele periodika

    CH - Švýcarská konfederace

  • Počet stran výsledku

    11

  • Strana od-do

    1483138

  • Kód UT WoS článku

    001457345600001

  • EID výsledku v databázi Scopus

    2-s2.0-105001639127