Lesion-Specific Metabolic Alterations in Relapsing-Remitting Multiple Sclerosis Via 7 T Magnetic Resonance Spectroscopic Imaging.


Journal

Investigative radiology
ISSN: 1536-0210
Titre abrégé: Invest Radiol
Pays: United States
ID NLM: 0045377

Informations de publication

Date de publication:
01 02 2023
Historique:
pubmed: 13 9 2022
medline: 11 1 2023
entrez: 12 9 2022
Statut: ppublish

Résumé

Magnetic resonance spectroscopic imaging (MRSI) of the brain enables in vivo assessment of metabolic alterations in multiple sclerosis (MS). This provides complementary insights into lesion pathology that cannot be obtained via T1- and T2-weighted conventional magnetic resonance imaging (cMRI). The aims of this study were to assess focal metabolic alterations inside and at the periphery of lesions that are visible or invisible on cMRI, and to correlate their metabolic changes with T1 hypointensity and the distance of lesions to cortical gray matter (GM). A 7 T MRSI was performed on 51 patients with relapsing-remitting MS (30 female/21 male; mean age, 35.4 ± 9.9 years). Mean metabolic ratios were calculated for segmented regions of interest (ROIs) of normal-appearing white matter, white matter lesions, and focal regions of increased mIns/tNAA invisible on cMRI. A subgroup analysis was performed after subdividing based on T1 relaxation and distance to cortical GM. Metabolite ratios were correlated with T1 and compared between different layers around cMRI-visible lesions. Focal regions of, on average, 2.8-fold higher mIns/tNAA than surrounding normal-appearing white matter and with an appearance similar to that of MS lesions were found, which were not visible on cMRI (ie, ~4% of metabolic hotspots). T1 relaxation was positively correlated with mIns/tNAA ( P ≤ 0.01), and negatively with tNAA/tCr ( P ≤ 0.01) and tCho/tCr ( P ≤ 0.01). mIns/tCr was increased outside lesions, whereas tNAA/tCr distributions resembled macroscopic tissue damage inside the lesions. mIns/tCr was -21% lower for lesions closer to cortical GM ( P ≤ 0.05). 7 T MRSI allows in vivo visualization of focal MS pathology not visible on cMRI and the assessment of metabolite levels in the lesion center, in the active lesion periphery and in cortical lesions. This demonstrated the potential of MRSI to image mIns as an early biomarker in lesion development.

Sections du résumé

BACKGROUND
Magnetic resonance spectroscopic imaging (MRSI) of the brain enables in vivo assessment of metabolic alterations in multiple sclerosis (MS). This provides complementary insights into lesion pathology that cannot be obtained via T1- and T2-weighted conventional magnetic resonance imaging (cMRI).
PURPOSE
The aims of this study were to assess focal metabolic alterations inside and at the periphery of lesions that are visible or invisible on cMRI, and to correlate their metabolic changes with T1 hypointensity and the distance of lesions to cortical gray matter (GM).
METHODS
A 7 T MRSI was performed on 51 patients with relapsing-remitting MS (30 female/21 male; mean age, 35.4 ± 9.9 years). Mean metabolic ratios were calculated for segmented regions of interest (ROIs) of normal-appearing white matter, white matter lesions, and focal regions of increased mIns/tNAA invisible on cMRI. A subgroup analysis was performed after subdividing based on T1 relaxation and distance to cortical GM. Metabolite ratios were correlated with T1 and compared between different layers around cMRI-visible lesions.
RESULTS
Focal regions of, on average, 2.8-fold higher mIns/tNAA than surrounding normal-appearing white matter and with an appearance similar to that of MS lesions were found, which were not visible on cMRI (ie, ~4% of metabolic hotspots). T1 relaxation was positively correlated with mIns/tNAA ( P ≤ 0.01), and negatively with tNAA/tCr ( P ≤ 0.01) and tCho/tCr ( P ≤ 0.01). mIns/tCr was increased outside lesions, whereas tNAA/tCr distributions resembled macroscopic tissue damage inside the lesions. mIns/tCr was -21% lower for lesions closer to cortical GM ( P ≤ 0.05).
CONCLUSIONS
7 T MRSI allows in vivo visualization of focal MS pathology not visible on cMRI and the assessment of metabolite levels in the lesion center, in the active lesion periphery and in cortical lesions. This demonstrated the potential of MRSI to image mIns as an early biomarker in lesion development.

Identifiants

pubmed: 36094811
doi: 10.1097/RLI.0000000000000913
pii: 00004424-202302000-00006
pmc: PMC9835681
doi:

Substances chimiques

Receptors, Antigen, T-Cell 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

156-165

Subventions

Organisme : Austrian Science Fund FWF
ID : KLI 718
Pays : Austria

Informations de copyright

Copyright © 2022 The Author(s). Published by Wolters Kluwer Health, Inc.

Déclaration de conflit d'intérêts

Conflicts of interest and sources of funding: The authors have no conflicts of interest to declare. This study was funded by the Austrian Science Fund (FWF; KLI 718, P 30701, P 34198).

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Auteurs

Alexandra Lipka (A)

From the High Field MR Centre, Department of Biomedical Imaging and Image-Guided Therapy.

Eva Niess (E)

From the High Field MR Centre, Department of Biomedical Imaging and Image-Guided Therapy.

Assunta Dal-Bianco (A)

Department of Neurology.

Paulus S Rommer (PS)

Department of Neurology.

Bernhard Strasser (B)

From the High Field MR Centre, Department of Biomedical Imaging and Image-Guided Therapy.

Stanislav Motyka (S)

From the High Field MR Centre, Department of Biomedical Imaging and Image-Guided Therapy.

Lukas Hingerl (L)

From the High Field MR Centre, Department of Biomedical Imaging and Image-Guided Therapy.

Thomas Berger (T)

Department of Neurology.

Petra Hnilicová (P)

Biomedical Center Martin.

Ema Kantorová (E)

Clinic of Neurology, Jessenius Faculty of Medicine in Martin, Comenius University in Bratislava, Martin, Slovakia.

Fritz Leutmezer (F)

Department of Neurology.

Egon Kurča (E)

Clinic of Neurology, Jessenius Faculty of Medicine in Martin, Comenius University in Bratislava, Martin, Slovakia.

Stephan Gruber (S)

From the High Field MR Centre, Department of Biomedical Imaging and Image-Guided Therapy.

Wolfgang Bogner (W)

From the High Field MR Centre, Department of Biomedical Imaging and Image-Guided Therapy.

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