Impact of brain volume and intracranial cerebrospinal fluid volume on the clinical outcome in endovascularly treated stroke patients.


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:
Jul 2020
Historique:
received: 17 02 2020
accepted: 22 03 2020
pubmed: 15 5 2020
medline: 6 10 2020
entrez: 15 5 2020
Statut: ppublish

Résumé

Previously, brain volume (BV) and intracranial cerebrospinal fluid volume (CSFV) have been investigated regarding clinical outcomes of subgroups of ischemic stroke patients. This study aimed to examine if the preexisting, preischemic BV and CSFV have an impact on good functional outcome and mortality in acute ischemic stroke (AIS) patients treated with mechanical thrombectomy (MT). Preischemic BV, CSFV, and CSFV/Total intracranial volume (TICV)-ratio were calculated with a fully automated segmentation platform. Univariate and multivariate analyses were used to study associations. In this retrospective study 107 subsequent AIS patients of a prospective database were included. The segmentation results of the fully automated algorithm based on non-contrast computerized tomography scans (NCCT) correlated significantly with the segmentation results obtained from 3D T1 weighted magnetic resonance images (P < 0.001). In the univariate analysis a preexisting BV (P < 0.001), preexisting CSFV (P = 0.009), and the ratio CSFV/total intracranial volume (P < 0.001) each significantly correlated with good functional outcome and mortality. However, in the multivariate regression analysis, also correcting for patient age, none of these volumes remained to correlate with these outcome parameters. In summary, an association of BV, CSFV, and the CSFV/TICV-ratio with good functional outcome and mortality in AIS treated with MT could not be established. A fully automated segmentation algorithm based on NCCT was successfully developed in-house for calculating the volumes of interest.

Identifiants

pubmed: 32404285
pii: S1052-3057(20)30215-9
doi: 10.1016/j.jstrokecerebrovasdis.2020.104831
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

104831

Informations de copyright

Copyright © 2020 Elsevier Inc. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest BF: Consultant for Stryker, speaker honoraria for Medtronic, Research grant from iSchemaView; CM: Consultant for Stryker and Penumbra. SM, DS, DH, TBB, MB, SW, CZ, and BW declare no competing interests.

Auteurs

Sebastian Mönch (S)

Department of Diagnostic and Interventional Neuroradiology, Klinikum rechts der Isar, School of Medicine, Technical University Munich, Ismaninger Straße 22, 81675 Munich, Germany. Electronic address: moench.s@gmx.net.

Dominik Sepp (D)

Department of Diagnostic and Interventional Neuroradiology, Klinikum rechts der Isar, School of Medicine, Technical University Munich, Ismaninger Straße 22, 81675 Munich, Germany. Electronic address: dominik.sepp@tum.de.

Dennis Hedderich (D)

Department of Diagnostic and Interventional Neuroradiology, Klinikum rechts der Isar, School of Medicine, Technical University Munich, Ismaninger Straße 22, 81675 Munich, Germany. Electronic address: dennis.hedderich@tum.de.

Tobias Boeckh-Behrens (T)

Department of Diagnostic and Interventional Neuroradiology, Klinikum rechts der Isar, School of Medicine, Technical University Munich, Ismaninger Straße 22, 81675 Munich, Germany. Electronic address: Boeckh.Behrens@tum.de.

Maria Berndt (M)

Department of Diagnostic and Interventional Neuroradiology, Klinikum rechts der Isar, School of Medicine, Technical University Munich, Ismaninger Straße 22, 81675 Munich, Germany. Electronic address: Maria.Berndt@tum.de.

Christian Maegerlein (C)

Department of Diagnostic and Interventional Neuroradiology, Klinikum rechts der Isar, School of Medicine, Technical University Munich, Ismaninger Straße 22, 81675 Munich, Germany. Electronic address: Christian.Maegerlein@tum.de.

Silke Wunderlich (S)

Department of Neurology, Klinikum rechts der Isar, School of Medicine, Technical University Munich, Germany. Electronic address: Silke.Wunderlich@tum.de.

Claus Zimmer (C)

Department of Diagnostic and Interventional Neuroradiology, Klinikum rechts der Isar, School of Medicine, Technical University Munich, Ismaninger Straße 22, 81675 Munich, Germany. Electronic address: Claus.Zimmer@tum.de.

Benedikt Wiestler (B)

Department of Diagnostic and Interventional Neuroradiology, Klinikum rechts der Isar, School of Medicine, Technical University Munich, Ismaninger Straße 22, 81675 Munich, Germany. Electronic address: b.wiestler@tum.de.

Benjamin Friedrich (B)

Department of Diagnostic and Interventional Neuroradiology, Klinikum rechts der Isar, School of Medicine, Technical University Munich, Ismaninger Straße 22, 81675 Munich, Germany. Electronic address: Benjamin.Fridrich@tum.de.

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