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Voxel-Based Lesion Symptom Mapping to Predict Poststroke Epilepsy After Mechanical Thrombectomy

  • Joachim Gruber
  • , Stefan Ropele
  • , Daniela Pinter
  • , Christian Enzinger
  • , Raimund Helbok
  • , Hannes Deutschmann
  • , Michael Sonnberger
  • , Markus Kneihsl
  • , Tim J. von Oertzen
  • , Thomas Gattringer*
  • *Korrespondierende/r Autor/-in für diese Arbeit

Publikation: Beitrag in FachzeitschriftArtikelBegutachtung

Abstract

Introduction: Poststroke epilepsy (PSE) is an important long-term complication after stroke. Data regarding predictors of PSE in patients with large-vessel occlusion stroke receiving mechanical thrombectomy (MT) are scarce. Voxel-based lesion symptom mapping on brain MRI might be a valuable tool in the risk prediction of PSE. This study aims to assess PSE risk after acute stroke treated with MT via voxel- and volumetric-based analyses.

Methods: In this bi-center study from two tertiary-care stroke centers, we included consecutive acute ischemic stroke patients who had received MT between 2011 and 2017, and had postinterventional brain MRI as well as long-term follow-up data available. Infarct volume and location were assessed on MRI. Following semiautomated lesion outlining and generation of binarized lesion masks, lesion symptom mapping was applied to identify relevant topographical lesion patterns in PSE.

Results: Of 348 analyzed patients, 97 cases had to be excluded due to insufficient image quality and inaccurate registration results. Finally, lesion maps from 251 patients (median age: 66, 45.4% women) were considered for lesion symptom mapping, including maps from 26 patients with PSE (10.4%). Mean infarct volume was higher in PSE patients (119.2 cm3 vs. 43.9 cm3, p < 0.0001). Lesion symptom mapping identified the orbitofrontal region, the operculum, and the temporal pole as brain regions associated with PSE.

Conclusion: Apart from infarct volume, lesion symptom mapping on postinterventional brain MRI identified specific brain regions associated with PSE after large vessel occlusion stroke. This information might be helpful for PSE risk stratification and follow-up care in this specific population.
OriginalspracheEnglisch
Aufsatznummere70154
Seitenumfang9
FachzeitschriftEuropean Journal of Neurology
Volume32
Ausgabenummer4
DOIs
PublikationsstatusVeröffentlicht - Apr. 2025

UN SDGs

Dieser Output leistet einen Beitrag zu folgendem(n) Ziel(en) für nachhaltige Entwicklung

  1. SDG 3 – Gute Gesundheit und Wohlergehen
    SDG 3 – Gute Gesundheit und Wohlergehen

Wissenschaftszweige

  • 302052 Neurologie
  • 301405 Neuropathologie
  • 301114 Zellbiologie
  • 302051 Neurochirurgie

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