Infarct density defined by ADC threshold is associated with long-term functional outcome after endovascular thrombectomy.

ADC MRI Stroke endovascular therapy imaging biomarker ischemic stroke

Journal

Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association
ISSN: 1532-8511
Titre abrégé: J Stroke Cerebrovasc Dis
Pays: United States
ID NLM: 9111633

Informations de publication

Date de publication:
10 Jul 2024
Historique:
received: 24 08 2023
revised: 03 07 2024
accepted: 10 07 2024
medline: 13 7 2024
pubmed: 13 7 2024
entrez: 12 7 2024
Statut: aheadofprint

Résumé

Endovascular thrombectomy (EVT) dramatically improves clinical outcomes, but the reduction in final infarct volume only accounts for 10-15% of the treatment benefit. We aimed to develop a novel MRI-ADC-based metric that quantify the degree of tissue injury to test the hypothesis that it outperforms infarct volume in predicting long-term outcome. A single-center cohort consisted of consecutive acute stroke patients with anterior circulation large vessel occlusion, successful recanalization via EVT (mTICI ≥2b), and MRI of the brain between 12 hours and 7 days post-EVT. Imaging was processed via RAPID software. Final infarct volume was based on the traditional ADC <620 threshold. Logistic regression quantified the association of lesion volumes and good outcome (90-day modified Rankin Scale ≤2) at a range of lower ADC thresholds (<570, <520, and <470). Infarct density was calculated as the percentage of the final infarct volume below the ADC threshold with the greatest effect size. Univariate and multivariate logistic regression quantified the association between imaging/clinical metrics and functional outcome. 120 patients underwent MRI after successful EVT. Lesion volume based on the ADC threshold <470 had the strongest association with good outcome (OR: 0.81 per 10mL; 95% CI: 0.66-0.99). In a multivariate model, infarct density (<470/<620 * 100) was independently associated with good outcome (aOR 0.68 per 10%; 95% CI: 0.49-0.95), but final infarct volume was not (aOR 0.98 per 10mL; 95% CI: 0.85-1.14). Infarct density after EVT is more strongly associated with long-term clinical outcome than infarct volume.

Identifiants

pubmed: 38997048
pii: S1052-3057(24)00301-X
doi: 10.1016/j.jstrokecerebrovasdis.2024.107857
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

107857

Informations de copyright

Copyright © 2024. Published by Elsevier Inc.

Déclaration de conflit d'intérêts

Declaration of competing interest The authors declare the following financial interests/personal relationships which may be considered as potential competing interests: Christopher G. Favilla reports financial support was provided by National Institutes of Health. Christopher G. Favilla reports financial support was provided by American Heart Association Inc.

Auteurs

Christopher G Favilla (CG)

University of Pennsylvania, Department of Neurology, Philadelphia, PA, USA. Electronic address: Christopher.favilla@pennmedicine.upenn.edu.

Heta Patel (H)

University of Pennsylvania, Department of Neurology, Philadelphia, PA, USA. Electronic address: heta.patel@pennmedicine.upenn.edu.

Mohammad Hossein Abassi (MH)

University of Pennsylvania, Department of Neurology, Philadelphia, PA, USA. Electronic address: dr.m.h.abbasi95@gmail.com.

Jesse Thon (J)

Cooper University, Department of Neurology, Camden, NJ, USA. Electronic address: thon-jesse@cooperhealth.edu.

Michael T Mullen (MT)

Temple University, Department of Neurology, Philadelphia, PA, USA. Electronic address: michael.mullen@tuhs.temple.edu.

Scott E Kasner (SE)

University of Pennsylvania, Department of Neurology, Philadelphia, PA, USA. Electronic address: Scott.kasner@pennmedicine.upenn.edu.

Jae W Song (JW)

University of Pennsylvania, Department of Radiology, Philadelphia, PA, USA. Electronic address: jae.song@pennmedicine.upenn.edu.

Stephanie Cummings (S)

University of Pennsylvania, Department of Neurology, Philadelphia, PA, USA. Electronic address: stephanie.cummings@pennmedicine.upenn.edu.

Steven R Messé (SR)

University of Pennsylvania, Department of Neurology, Philadelphia, PA, USA. Electronic address: Steve.messe@pennmedicine.upenn.edu.

Classifications MeSH