4.6 Article

Diffusion Basis Spectrum Imaging Provides Insights Into Cervical Spondylotic Myelopathy Pathology

Journal

NEUROSURGERY
Volume 92, Issue 1, Pages 102-109

Publisher

LIPPINCOTT WILLIAMS & WILKINS
DOI: 10.1227/neu.0000000000002183

Keywords

MRI; Diffusion-weighted MRI; Diffusion tensor imaging; Diffusion basis spectrum imaging; Cervical spondylotic myelopathy

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This study evaluated the utility of diffusion basis spectrum imaging (DBSI) in cervical spondylotic myelopathy (CSM) and found that DBSI can serve as a biomarker of CSM disease severity. The results showed that DBSI provides detailed data on white matter tract integrity and offers novel insights into the pathology of CSM.
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 intraaxonal 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.

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