Subtle white matter intensity changes on fluid-attenuated inversion recovery imaging in patients with ischaemic stroke.

cerebral small-vessel disease free water ischaemic stroke leukoaraiosis

Journal

Brain communications
ISSN: 2632-1297
Titre abrégé: Brain Commun
Pays: England
ID NLM: 101755125

Informations de publication

Date de publication:
2024
Historique:
received: 12 06 2023
revised: 12 01 2024
accepted: 11 03 2024
medline: 26 3 2024
pubmed: 26 3 2024
entrez: 26 3 2024
Statut: epublish

Résumé

Leukoaraiosis is a neuroimaging marker of small-vessel disease that is characterized by high signal intensity on fluid-attenuated inversion recovery MRI. There is increasing evidence from pathology and neuroimaging suggesting that the structural abnormalities that characterize leukoaraiosis are actually present within regions of normal-appearing white matter, and that the underlying pathophysiology of white matter damage related to small-vessel disease involves blood-brain barrier damage. In this study, we aim to verify whether leukoaraiosis is associated with elevated signal intensity on fluid-attenuated inversion recovery imaging, a marker of brain tissue free-water accumulation, in normal-appearing white matter. We performed a cross-sectional study of adult patients admitted to our hospital with a diagnosis of acute ischaemic stroke or transient ischaemic attack. Leukoaraiosis was segmented using a semi-automated method involving manual outlining and signal thresholding. White matter regions were segmented based on the probabilistic tissue maps from the International Consortium for Brain Mapping 152 atlas. Also, normal-appearing white matter was further segmented based on voxel distance from leukoaraiosis borders, resulting in five normal-appearing white matter strata at increasing voxel distances from leukoaraiosis. The relationship between mean normalized fluid-attenuated inversion recovery signal intensity on normal-appearing white matter and leukoaraiosis volume was studied in a multivariable statistical analysis using linear mixed modelling, having normal-appearing white matter strata as a clustering variable. One hundred consecutive patients meeting inclusion and exclusion criteria were selected for analysis (53% female, mean age 68 years). Mean normalized fluid-attenuated inversion recovery signal intensity on normal-appearing white matter was higher in the vicinity of leukoaraiosis and progressively lower at increasing distances from leukoaraiosis. In a multivariable analysis, the mean normalized fluid-attenuated inversion recovery signal intensity on normal-appearing white matter was positively associated with leukoaraiosis volume and age (

Identifiants

pubmed: 38529359
doi: 10.1093/braincomms/fcae089
pii: fcae089
pmc: PMC10963121
doi:

Types de publication

Journal Article

Langues

eng

Pagination

fcae089

Informations de copyright

© The Author(s) 2024. Published by Oxford University Press on behalf of the Guarantors of Brain.

Déclaration de conflit d'intérêts

The authors report no competing interests.

Auteurs

Pedro Cougo (P)

Instituto Americas, Neurology Division, Rio de Janeiro 22775-001, Brazil.
Hospital Samaritano Barra, Department of Neurology, Rio de Janeiro 22775-001, Brazil.

Heber Colares (H)

Hospital Samaritano Barra, Department of Radiology, Rio de Janeiro, 22775-001, Brazil.

João Gabriel Farinhas (JG)

Instituto Americas, Neurology Division, Rio de Janeiro 22775-001, Brazil.
Hospital Samaritano Barra, Department of Neurology, Rio de Janeiro 22775-001, Brazil.

Mariana Hämmerle (M)

Hospital Samaritano Barra, Department of Neurology, Rio de Janeiro 22775-001, Brazil.

Pedro Neves (P)

Hospital Samaritano Barra, Department of Radiology, Rio de Janeiro, 22775-001, Brazil.

Raquel Bezerra (R)

Hospital Samaritano Barra, Department of Radiology, Rio de Janeiro, 22775-001, Brazil.

Alex Balduino (A)

Instituto Americas, Neurology Division, Rio de Janeiro 22775-001, Brazil.

Ona Wu (O)

Athinoula A. Martinos Centre for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA 02129, USA.

Octavio M Pontes-Neto (OM)

Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo, Ribeirão Preto 14040-900, Brazil.

Classifications MeSH