Extent of traumatic spinal cord injury is lesion level dependent and predictive of recovery: a multicenter neuroimaging study.

MRI RADIOLOGY 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:
13 Jul 2024
Historique:
medline: 14 7 2024
pubmed: 14 7 2024
entrez: 13 7 2024
Statut: aheadofprint

Résumé

Assessing the extent of the intramedullary lesion after spinal cord injury (SCI) might help to improve prognostication. However, since the neurological level of injury (NLI) impacts the recovery potential of SCI patients, the question arises whether lesion size parameters and predictive models based on those parameters are affected as well. In this retrospective observational study, the extent of the intramedullary lesion between individuals who sustained cervical and thoracolumbar SCI was compared and its relation to clinical recovery was assessed. 154 patients with sub-acute SCI (89 individuals with cervical lesions and 65 individuals with thoracolumbar lesions) underwent conventional clinical magnetic resonance imaging (MRI) 1 month after injury and clinical examination at 1 and 12 months. The morphology of the focal lesion within the spinal cord was manually assessed on the midsagittal slice of T2-weighted MR images and compared between cervical and thoracolumbar SCI patients as well as between patients who improved at least one American Spinal Injury Association Impairment Scale (AIS) grade (converters) and patients without AIS grade improvement (non-converters). The predictive value of lesion parameters including lesion length, lesion width, and preserved tissue bridges for predicting AIS grade conversion was assessed using regression models (conditional inference tree analysis). Lesion length was two times longer in thoracolumbar compared to cervical SCI patients (F = 39.48, p < 0.0001), while lesion width and tissue bridges' width did not differ. When comparing AIS grade converters and non-converters, converters showed a smaller lesion length (F = 5.46, p = 0.021), a smaller lesion width (F = 13.75, p = 0.0003) and greater tissue bridges (F = 12.87, p = 0.0005). Using regression models, tissue bridges allowed more refined subgrouping of the heterogenous patient population according to individual recovery profiles between 1 month and 12 months after SCI, while lesion length added no additional information for further subgrouping. This study characterizes differences in the anteroposterior and craniocaudal lesion extent after SCI. The two times greater lesion length in thoracolumbar compared to cervical SCI might be related to differences in the anatomy, biomechanics, and perfusion between the cervical and thoracic spine. Preserved tissue bridges were less influenced by the lesion level, while closely related to the clinical impairment. These results highlight the robustness and utility of tissue bridges as a neuroimaging biomarker for predicting clinical outcome after SCI in heterogeneous patient populations and for patient stratification in clinical trials.

Identifiants

pubmed: 39001825
doi: 10.1089/neu.2023.0555
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Auteurs

Simon Schading-Sassenhausen (S)

Balgrist University Hospital, Spinal Cord Injury Center, Lengghalde 5, Zurich, Switzerland, 8008; simon.schading@balgrist.ch.

Dario Pfyffer (D)

Balgrist University Hospital, Spinal Cord Injury Center, Zurich, Zürich, Switzerland.
Stanford University School of Medicine, Department of Anesthesiology, Perioperative and Pain Medicine, Stanford, California, United States; dpfyffer@stanford.edu.

Lynn Farner (L)

Balgrist University Hospital, Spinal Cord Injury Center, Zurich, Zürich, Switzerland; lynn.farner@balgrist.ch.

Andreas Grillhösl (A)

BG Trauma Center Murnau, Spinal Cord Injury Center, Murnau, Germany; andreas.grillhoesl@bgu-murnau.de.

Orpheus Mach (O)

BG Trauma Center Murnau, Center for Spinal Cord Injuries, Murnau, Germany; orpheus.mach@bgu-murnau.de.

Doris Maier (D)

BG Trauma Center Murnau, Center for Spinal Cord Injuries, Murnau, Germany; doris.maier@bgu-murnau.de.

Lukas Grassner (L)

BG Trauma Center Murnau, Spinal Cord Injury Center, Murnau , Germany.
Paracelsus Medical University Salzburg, Department of Neurosurgery, Salzburg, Salzburg, Austria; lukas.grassner@bgu-murnau.de.

Iris Leister (I)

BG Trauma Center Murnau, Spinal Cord Injury Center, Murnau am Staffelsee, Germany.
Paracelsus Medical University Salzburg, Institute of Molecular Regenerative Medicine, Salzburg, Salzburg, Austria; iris.leister@bgu-murnau.de.

Armin Curt (A)

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

Patrick Freund (P)

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

Classifications MeSH