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Diffusion Basis Spectrum Imaging Provides Insights Into Cervical Spondylotic Myelopathy Pathology.
Zhang, Justin K; Jayasekera, Dinal; Song, Chunyu; Greenberg, Jacob K; Javeed, Saad; Dibble, Christopher F; Blum, Jacob; Sun, Peng; Song, Sheng-Kwei; Ray, Wilson Z.
Afiliação
  • Zhang JK; Department of Neurological Surgery, Washington University School of Medicine, Saint Louis, Missouri, USA.
  • Jayasekera D; Department of Biomedical Engineering, Washington University in St. Louis McKelvey School of Engineering, Saint Louis, Missouri, USA.
  • Song C; Department of Radiology, Washington University School of Medicine, St. Louis, Missouri, USA.
  • Greenberg JK; Department of Neurological Surgery, Washington University School of Medicine, Saint Louis, Missouri, USA.
  • Javeed S; Department of Neurological Surgery, Washington University School of Medicine, Saint Louis, Missouri, USA.
  • Dibble CF; Department of Neurological Surgery, Washington University School of Medicine, Saint Louis, Missouri, USA.
  • Blum J; Department of Radiology, Washington University School of Medicine, St. Louis, Missouri, USA.
  • Sun P; Department of Radiology, Washington University School of Medicine, St. Louis, Missouri, USA.
  • Song SK; Department of Radiology, Washington University School of Medicine, St. Louis, Missouri, USA.
  • Ray WZ; Department of Neurological Surgery, Washington University School of Medicine, Saint Louis, Missouri, USA.
Neurosurgery ; 92(1): 102-109, 2023 01 01.
Article em En | MEDLINE | ID: mdl-36519861
ABSTRACT

BACKGROUND:

Diffusion basis spectrum imaging (DBSI) is a noninvasive quantitative imaging modality that may improve understanding of cervical spondylotic myelopathy (CSM) pathology through detailed evaluations of spinal cord microstructural compartments.

OBJECTIVE:

To determine the utility of DBSI as a biomarker of CSM disease severity.

METHODS:

A single-center prospective cohort study enrolled 50 patients with CSM and 20 controls from 2018 to 2020. All patients underwent clinical evaluation and diffusion-weighted MRI, followed by diffusion tensor imaging and DBSI analyses. Diffusion-weighted MRI metrics assessed white matter integrity by fractional anisotropy, axial diffusivity, radial diffusivity, and fiber fraction. In addition, DBSI further evaluates extra-axonal changes by isotropic restricted and nonrestricted fraction. Including an intra-axonal diffusion compartment, DBSI improves estimations of axonal injury through intra-axonal axial diffusivity. Patients were categorized into mild, moderate, and severe CSM using modified Japanese Orthopedic Association classifications. Imaging parameters were compared among patient groups using independent samples t tests and ANOVA.

RESULTS:

Twenty controls, 27 mild (modified Japanese Orthopedic Association 15-17), 12 moderate (12-14), and 11 severe (0-11) patients with CSM were enrolled. Diffusion tensor imaging and DBSI fractional anisotropy, axial diffusivity, and radial diffusivity were significantly different between control and patients with CSM ( P < .05). DBSI fiber fraction, restricted fraction, and nonrestricted fraction were significantly different between groups ( P < .01). DBSI intra-axonal axial diffusivity was lower in mild compared with moderate (mean difference [95% CI] 1.1 [0.3-2.1], P < .01) and severe (1.9 [1.3-2.4], P < .001) CSM.

CONCLUSION:

DBSI offers granular data on white matter tract integrity in CSM that provide novel insights into disease pathology, supporting its potential utility as a biomarker of CSM disease progression.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Doenças da Medula Espinal / Espondilose Tipo de estudo: Observational_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Doenças da Medula Espinal / Espondilose Tipo de estudo: Observational_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article