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Utility of Diffusion Basis Spectrum Imaging in Quantifying Baseline Disease Severity and Prognosis of Cervical Spondylotic Myelopathy.
Zhang, Justin K; Sun, Peng; Jayasekera, Dinal; Greenberg, Jacob K; Javeed, Saad; Dibble, Christopher F; Blum, Jacob; Song, Chunyu; Song, Sheng-Kwei; Ray, Wilson Z.
Afiliación
  • Zhang JK; Department of Neurological Surgery, Washington University School of Medicine, Saint Louis, MO.
  • Sun P; Department of Imaging Physics, UT MD Anderson Cancer Center, Houston, TX.
  • Jayasekera D; Department of Biomedical Engineering, Washington University in St. Louis McKelvey School of Engineering, Saint Louis, MO.
  • Greenberg JK; Department of Neurological Surgery, Washington University School of Medicine, Saint Louis, MO.
  • Javeed S; Department of Neurological Surgery, Washington University School of Medicine, Saint Louis, MO.
  • Dibble CF; Department of Neurological Surgery, Washington University School of Medicine, Saint Louis, MO.
  • Blum J; Department of Radiology, Washington University School of Medicine, St. Louis, MO.
  • Song C; Department of Radiology, Washington University School of Medicine, St. Louis, MO.
  • Song SK; Department of Radiology, Washington University School of Medicine, St. Louis, MO.
  • Ray WZ; Department of Neurological Surgery, Washington University School of Medicine, Saint Louis, MO.
Spine (Phila Pa 1976) ; 47(24): 1687-1693, 2022 Dec 15.
Article en En | MEDLINE | ID: mdl-35969006
ABSTRACT
STUDY

DESIGN:

Prospective cohort study.

OBJECTIVE:

The aim was to assess the association between diffusion tensor imaging (DTI) and diffusion basis spectrum imaging (DBSI) measures and cervical spondylotic myelopathy (CSM) clinical assessments at baseline and two-year follow-up. SUMMARY OF BACKGROUND DATA Despite advancements in diffusion-weighted imaging, few studies have examined associations between diffusion magnetic resonance imaging (MRI) markers and CSM-specific clinical domains at baseline and long-term follow-up. MATERIALS AND

METHODS:

A single-center prospective cohort study enrolled 50 CSM patients who underwent surgical decompression and 20 controls from 2018 to 2020. At initial evaluation, all patients underwent diffusion-weighted MRI acquisition, followed by DTI and DBSI analyses. Diffusion-weighted MRI metrics assessed white matter integrity by fractional anisotropy, axial diffusivity, radial diffusivity, and fiber fraction. To improve estimations of intra-axonal anisotropic diffusion, DBSI measures intra-/extra-axonal fraction and intra-axonal axial diffusivity. DBSI also evaluates extra-axonal isotropic diffusion by restricted and nonrestricted fraction. Clinical assessments were performed at baseline and two-year follow-up and included the modified Japanese Orthopedic Association (mJOA); 36-Item Short Form Survey physical component summary (SF-36 PCS); SF-36 mental component summary; neck disability index; myelopathy disability index; and disability of the arm, shoulder, and hand. Pearson correlation coefficients were computed to compare associations between DTI/DBSI and clinical measures. A False Discovery Rate correction was applied for multiple comparisons testing.

RESULTS:

At baseline presentation, of 36 correlations analyzed between DTI metrics and CSM clinical measures, only DTI fractional anisotropy showed a positive correlation with SF-36 PCS ( r =0.36, P =0.02). In comparison, there were 30/81 (37%) significant correlations among DBSI and clinical measures. Increased DBSI axial diffusivity, intra-axonal axial diffusivity, intra-axonal fraction, restricted fraction, and extra-axonal anisotropic fraction were associated with worse clinical presentation (decreased mJOA; SF-36 PCS/mental component summary; and increased neck disability index; myelopathy disability index; disability of the arm, shoulder, and hand). At latest follow-up, increased preoperative DBSI intra-axonal axial diffusivity and extra-axonal anisotropic fraction were significantly correlated with improved mJOA.

CONCLUSIONS:

This findings demonstrate that DBSI measures may reflect baseline disease burden and long-term prognosis of CSM as compared with DTI. With further validation, DBSI may serve as a noninvasive biomarker following decompressive surgery. LEVEL OF EVIDENCE 3.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Asunto principal: Enfermedades de la Médula Espinal / Osteofitosis Vertebral Tipo de estudio: Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Spine (Phila Pa 1976) Año: 2022 Tipo del documento: Article País de afiliación: Macao

Texto completo: 1 Colección: 01-internacional Asunto principal: Enfermedades de la Médula Espinal / Osteofitosis Vertebral Tipo de estudio: Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Spine (Phila Pa 1976) Año: 2022 Tipo del documento: Article País de afiliación: Macao