Spinal cord blood perfusion deficit is associated with clinical impairment after spinal cord injury.

BLOOD FLOW HUMAN STUDIES MRI TRAUMATIC SPINAL CORD INJURY

Journal

Journal of neurotrauma
ISSN: 1557-9042
Titre abrégé: J Neurotrauma
Pays: United States
ID NLM: 8811626

Informations de publication

Date de publication:
26 Sep 2024
Historique:
medline: 26 9 2024
pubmed: 26 9 2024
entrez: 26 9 2024
Statut: aheadofprint

Résumé

Spinal cord injury (SCI) results into intramedullary microvasculature disruption and blood perfusion deficit at and remote from the injury site. However, the relationship between remote vascular impairment and functional recovery remains understudied. We characterized perfusion impairment in vivo, rostral to the injury, using MRI, and investigated its association with lesion extent and impairment following SCI. Twenty-one chronic cervical SCI patients and 39 healthy controls (HC) underwent a high-resolution MRI protocol, including intravoxel incoherent motion (IVIM) and T2*-weighted MRI covering C1-C3 cervical levels, as well as T2-weighted MRI to determine lesion volumes. IVIM matrices (i.e., blood volume fraction, velocity, flow indices, and diffusion) and cord structural characteristics were calculated to assess perfusion changes and cervical cord atrophy, respectively. SCI patients additionally underwent a standard clinical examination protocol to assess functional impairment. Correlation analysis was used to investigate associations between IVIM parameters with lesion volume and sensorimotor dysfunction. Cervical cord white and grey matter were atrophied (27.60% and 21.10%, p < 0.0001, respectively) above the cervical cord injury, accompanied by a lower blood volume fraction (-22.05%, p < 0.001) and a higher blood velocity-related index (+38.72%, p < 0.0001) in SCI patients compared to HC. Crucially, grey matter remote perfusion deficit correlated with larger lesion volumes and clinical impairment. This study shows clinically eloquent perfusion deficit rostral to a SCI, its magnitude driven by injury severity. These findings indicate trauma-induced widespread microvascular alterations beyond the injury site. Perfusion MRI matrices in the spinal cord hold promise as biomarkers for monitoring treatment effects and dynamic changes in microvasculature integrity following SCI.

Identifiants

pubmed: 39323313
doi: 10.1089/neu.2024.0267
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Auteurs

Anna Lebret (A)

University of Zurich, Spinal Cord Injury Center, Balgrist University Hospital, Zurich, Switzerland; Anna.lebret@balgrist.ch.

Sabina Frese (S)

University of Zurich, Spinal Cord Injury Center, Balgrist University Hospital, Zurich, Switzerland.
Medical University of Vienna, High Field MR Center, Wien, Austria; sabina.frese@meduniwien.ac.at.

Simon Lévy (S)

Siemens Healthcare Pty Ltd, MR Research Collaborations, Hawthorn East, Victoria, Australia.
Aix-Marseille Université, CNRS, UMR 7339, Centre de Résonance Magnétique Biologique et Médicale (CRMBM-CEMEREM), Marseille, France.
Hôpital Universitaire Timone, CEMEREM, Marseille, France; simon.levy@siemens-healthineers.com.

Armin Curt (A)

University of Zurich, Spinal Cord Injury Center, Balgrist University Hospital , Zurich, Switzerland; armin.curt@balgrist.ch.

Virginie Callot (V)

Aix-Marseille Université, CNRS, UMR 7339, Centre de Résonance Magnétique Biologique et Médicale (CRMBM-CEMEREM), Marseille, France.
Hôpital Universitaire Timone, CEMEREM, Marseille, France; virginie.callot@univ-amu.fr.

Patrick Freund (P)

University of Zurich, Spinal Cord Injury Center, Balgrist University Hospital, Zurich, Switzerland.
Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany.
Wellcome Trust Centre for Neuroimaging, Department of Brain Repair and Rehabilitation, London, United Kingdom of Great Britain and Northern Ireland; patrick.freund@balgrist.ch.

Maryam Seif (M)

University of Zurich, Spinal Cord Injury Center, Balgrist University Hospital, Zurich, Switzerland.
Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany; maryam.seif@balgrist.ch.

Classifications MeSH