Quantitative T1 mapping detects blood-brain barrier breakdown in apparently non-enhancing multiple sclerosis lesions.

Blood-brain barrier Magnetic resonance fingerprinting Magnetic resonance imaging Multiple sclerosis Quantitative imaging Quantitative transient-state imaging T1 mapping

Journal

NeuroImage. Clinical
ISSN: 2213-1582
Titre abrégé: Neuroimage Clin
Pays: Netherlands
ID NLM: 101597070

Informations de publication

Date de publication:
2023
Historique:
received: 21 06 2023
revised: 09 08 2023
accepted: 10 09 2023
pubmed: 18 9 2023
medline: 18 9 2023
entrez: 17 9 2023
Statut: ppublish

Résumé

The disruption of the blood-brain barrier (BBB) is a key and early feature in the pathogenesis of demyelinating multiple sclerosis (MS) lesions and has been neuropathologically demonstrated in both active and chronic plaques. The local overt BBB disruption in acute demyelinating lesions is captured as signal hyperintensity in post-contrast T1-weighted images because of the contrast-related shortening of the T1 relaxation time. On the contrary, the subtle BBB disruption in chronic lesions is not visible at conventional radiological evaluation but it might be of clinical relevance. Indeed, persistent, subtle BBB leakage might be linked to low-grade inflammation and plaque evolution. Here we hypothesised that 3D Quantitative Transient-state Imaging (QTI) was able to reveal and measure T1 shortening (ΔT1) reflecting small amounts of contrast media leakage in apparently non-enhancing lesions (ANELs). Thirty-four patients with relapsing remitting MS were included in the study. All patients underwent a 3 T MRI exam of the brain including conventional sequences and QTI acquisitions (1.1 mm isotropic voxel) performed both before and after contrast media administration. For each patient, a ΔT1 map was obtained via voxel-wise subtraction of pre- and post- contrast QTI-derived T1 maps. ΔT1 values measured in ANELs were compared with those recorded in enhancing lesions and in the normal appearing white matter. A reference distribution of ΔT1 in the white matter was obtained from datasets acquired in 10 non-MS patients with unrevealing MR imaging. Mean ΔT1 in ANELs (57.45 ± 48.27 ms) was significantly lower than in enhancing lesions (297.71 ± 177.52 ms; p < 0. 0001) and higher than in the normal appearing white matter (36.57 ± 10.53 ms; p < 0.005). Fifty-two percent of ANELs exhibited ΔT1 higher than those observed in the white matter of non-MS patients. QTI-derived quantitative ΔT1 mapping enabled to measure contrast-related T1 shortening in ANELs. ANELs exhibiting ΔT1 values that deviate from the reference distribution in non-MS patients may indicate persistent, subtle, BBB disruption. Access to this information may be proved useful to better characterise pathology and objectively monitor disease activity and response to therapy.

Identifiants

pubmed: 37717382
pii: S2213-1582(23)00200-0
doi: 10.1016/j.nicl.2023.103509
pmc: PMC10514220
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

103509

Informations de copyright

Copyright © 2023 The Author(s). Published by Elsevier Inc. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Graziella Donatelli (G)

Neuroradiology Unit, Azienda Ospedaliero-Universitaria Pisana, Pisa, Italy; Imago7 Research Foundation, Pisa, Italy.

Paolo Cecchi (P)

Neuroradiology Unit, Azienda Ospedaliero-Universitaria Pisana, Pisa, Italy; Imago7 Research Foundation, Pisa, Italy.

Gianmichele Migaleddu (G)

Neuroradiology Unit, Azienda Ospedaliero-Universitaria Pisana, Pisa, Italy.

Matteo Cencini (M)

National Institute for Nuclear Physics (INFN), Pisa Division, Pisa, Italy.

Paolo Frumento (P)

Department of Political Sciences, University of Pisa, Pisa, Italy.

Claudio D'Amelio (C)

Neuroradiology Unit, Department of Translational Research on New Technologies in Medicine and Surgery, University of Pisa, Pisa, Italy.

Luca Peretti (L)

Imago7 Research Foundation, Pisa, Italy; Laboratory of Medical Physics and Magnetic Resonance, IRCCS Stella Maris, Pisa, Italy.

Guido Buonincontri (G)

Laboratory of Medical Physics and Magnetic Resonance, IRCCS Stella Maris, Pisa, Italy.

Livia Pasquali (L)

Neurology Unit, Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy.

Michela Tosetti (M)

Laboratory of Medical Physics and Magnetic Resonance, IRCCS Stella Maris, Pisa, Italy.

Mirco Cosottini (M)

Neuroradiology Unit, Department of Translational Research on New Technologies in Medicine and Surgery, University of Pisa, Pisa, Italy. Electronic address: mirco.cosottini@unipi.it.

Mauro Costagli (M)

Laboratory of Medical Physics and Magnetic Resonance, IRCCS Stella Maris, Pisa, Italy; Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Sciences (DINOGMI), University of Genoa, Genoa, Italy.

Classifications MeSH