Non-lesional white matter in relapsing-remitting multiple sclerosis assessed by multicomponent T2 relaxation.

Myelin Water Imaging T2 relaxometry lesion segmentation multiple sclerosis

Journal

Brain and behavior
ISSN: 2162-3279
Titre abrégé: Brain Behav
Pays: United States
ID NLM: 101570837

Informations de publication

Date de publication:
02 Dec 2023
Historique:
revised: 31 10 2023
received: 29 08 2023
accepted: 02 11 2023
medline: 2 12 2023
pubmed: 2 12 2023
entrez: 2 12 2023
Statut: aheadofprint

Résumé

The purpose of the study is to investigate, by T2 relaxation, non-lesional white matter (WM) in relapsing-remitting (RR) multiple sclerosis (MS). Twenty stable RR MS patients underwent 1.5T Magnetic Resonance Imaging (MRI) with 3D Fluid-Attenuated Inversion-Recovery (FLAIR), 3D-T1-weighted, and T2-relaxation multi-echo sequences. The Lesion Segmentation Tool processed FLAIR images to identify focal lesions (FLs), whereas T1 images were segmented to identify WM and FL sub-volumes with T1 hypo-intensity. Non-lesional WM was obtained as the segmented WM, excluding FL volumes. The multi-echo sequence allowed decomposition into myelin water, intra-extracellular water, and free water (Fw), which were evaluated on the segmented non-lesional WM. Correlation analysis was performed between the non-lesional WM relaxation parameters and Expanded Disability Status Scale (EDSS), disease duration, patient age, and T1 hypo-intense FL volumes. The T1 hypo-intense FL volumes correlated with EDSS. On the non-lesional WM, the median Fw correlated with EDSS, disease duration, age, and T1 hypo-intense FL volumes. Bivariate EDSS correlation of FL volumes and WM T2-relaxation parameters did not improve significance. T2 relaxation allowed identifying subtle WM alterations, which significantly correlated with EDSS, disease duration, and age but do not seem to be EDSS-predictors independent from FL sub-volumes in stable RR patients. Particularly, the increase in the Fw component is suggestive of an uninvestigated prodromal phenomenon in brain degeneration.

Identifiants

pubmed: 38041516
doi: 10.1002/brb3.3334
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e3334

Informations de copyright

© 2023 The Authors. Brain and Behavior published by Wiley Periodicals LLC.

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Auteurs

Pietro Bontempi (P)

Department of Engineering for Innovation Medicine, University of Verona, Verona, Italy.

Umberto Rozzanigo (U)

Neuro-radiology Unit, Hospital of Trento, Azienda Provinciale per i Servizi Sanitari (APSS), Trento, Italy.

Sabrina Marangoni (S)

Neurology Unit, Hospital of Trento, Azienda Provinciale per i Servizi Sanitari (APSS), Trento, Italy.

Elena Fogazzi (E)

Physics department, University of Trento, Povo, Trento, Italy.

Daniele Ravanelli (D)

Medical Physics Department, Hospital of Trento, Azienda Provinciale per i Servizi Sanitari (APSS), Trento, Italy.

Lucia Cazzoletti (L)

Unit of Epidemiology and Medical Statistics, Department of Diagnostics and Public Health, University of Verona, Verona, Italy.

Bruno Giometto (B)

Neurology Unit, Hospital of Trento, Azienda Provinciale per i Servizi Sanitari (APSS), Trento, Italy.

Paolo Farace (P)

Medical Physics Department, Hospital of Trento, Azienda Provinciale per i Servizi Sanitari (APSS), Trento, Italy.

Classifications MeSH