Literature DB >> 29424671

Reproducibility, temporal stability, and functional correlation of diffusion MR measurements within the spinal cord in patients with asymptomatic cervical stenosis or cervical myelopathy.

Benjamin M Ellingson1,2, Noriko Salamon1, Davis C Woodworth1,3, Hajime Yokota1, Langston T Holly4.   

Abstract

OBJECTIVE The purpose of this study was to quantify the reproducibility, temporal stability, and functional correlation of diffusion MR characteristics in the spinal cord in patients with cervical stenosis with or without myelopathy. The association between longitudinal diffusion tensor imaging (DTI) measurements and serial neurological function assessment was explored at both the group and individual level. METHODS Sixty-six nonoperatively treated patients with cervical stenosis were prospectively followed (3 months to > 5 years) using synchronous serial MRI and functional outcome assessment. A total of 183 separate MRI examinations were performed, separated by at least 3 months, and each patient had a minimum of 2 MRI scans (range 2-5 scans). Anatomical and DTI measurements were performed within the spinal cord at the C1-2 region as well as at the area of highest compression. Coefficients of variance (COVs) were compared across measurements in both reference tissue and areas of compression for anatomical measurements, fractional anisotropy (FA), and mean diffusivity (MD). The correlation between diffusion MR measures at the site of compression and evaluations of neurological function assessed using the modified Japanese Orthopaedic Association (mJOA) scale at multiple time points was evaluated. RESULTS The COVs for anatomical measurements (Torg ratio and canal diameter) were between 7% and 10%. The median COV for FA measurements at the site of compression was 9%, and for reference tissue at C1-2 it was 6%. The median COV for MD at the site of compression was approximately 12%, and for reference tissue at C1-2 it was 10%. The FA and MD measurements of C1-2 averaged 0.61 and 0.91 μm2/msec, respectively, whereas the FA and MD measurements at the site of compression averaged 0.51 and 1.26 μm2/msec, respectively. Both FA (slope = 0.037; R2 = 0.3281, p < 0.0001) and MD (slope = -0.074; R2 = 0.1101, p = 0.0084) were significantly correlated with the mJOA score. The FA decreased by approximately 0.032 units per mJOA unit decrease (R2 = 0.2037, p < 0.0001), whereas the MD was increased by approximately 0.084 μm2/msec for every mJOA unit decrease (R2 = 0.1016, p < 0.0001). CONCLUSIONS Quantitative DTI measurements of the spinal cord in patients with cervical stenosis with or without myelopathy have a median COV of 5%-10%, similar to anatomical measurements. The reproducibility of these measurements and significant correlation with functional outcome status suggest a potential role in the evaluation and longitudinal surveillance of nonoperatively treated patients. With respect to the specific DTI measurements, FA within the spinal cord appears slightly more sensitive to neurological function and more stable than measures of MD. Therefore, DTI of the spinal cord may be a clinically feasible imaging technique for longitudinally monitoring patients with cervical spondylotic myelopathy.

Entities:  

Keywords:  COV = coefficient of variance; CSM; CSM = cervical spondylotic myelopathy; DTI; DTI = diffusion tensor imaging; FA = fractional anisotropy; FOV = field of view; MD = mean diffusivity; biomarker; cervical spondylotic myelopathy; diffusion tensor imaging; mJOA = modified Japanese Orthopaedic Association; spinal cord; stenosis

Mesh:

Year:  2018        PMID: 29424671      PMCID: PMC5930078          DOI: 10.3171/2017.7.SPINE176

Source DB:  PubMed          Journal:  J Neurosurg Spine        ISSN: 1547-5646


  47 in total

1.  Diffusion tensor imaging and fibre tracking in cervical spondylotic myelopathy.

Authors:  Jean-François Budzik; Vincent Balbi; Vianney Le Thuc; Alain Duhamel; Richard Assaker; Anne Cotten
Journal:  Eur Radiol       Date:  2010-08-20       Impact factor: 5.315

2.  Is spinal stenosis assessment dependent on slice orientation? A magnetic resonance imaging study.

Authors:  Lucy Henderson; Gerit Kulik; Delphine Richarme; Nicolas Theumann; Constantin Schizas
Journal:  Eur Spine J       Date:  2011-06-08       Impact factor: 3.134

3.  Diffusion tensor imaging predicts functional impairment in mild-to-moderate cervical spondylotic myelopathy.

Authors:  Benjamin M Ellingson; Noriko Salamon; John W Grinstead; Langston T Holly
Journal:  Spine J       Date:  2014-02-20       Impact factor: 4.166

4.  Diffusion tensor imaging correlates with the clinical assessment of disease severity in cervical spondylotic myelopathy and predicts outcome following surgery.

Authors:  J G A Jones; S Y Cen; R M Lebel; P C Hsieh; M Law
Journal:  AJNR Am J Neuroradiol       Date:  2012-07-19       Impact factor: 3.825

5.  Metabolic Imaging Using Proton Magnetic Spectroscopy as a Predictor of Outcome After Surgery for Cervical Spondylotic Myelopathy.

Authors:  Langston T Holly; Benjamin M Ellingson; Noriko Salamon
Journal:  Clin Spine Surg       Date:  2017-06       Impact factor: 1.876

6.  Apparent diffusion coefficient and fractional anisotropy in spinal cord: age and cervical spondylosis-related changes.

Authors:  Hatsuho Mamata; Ferenc A Jolesz; Stephan E Maier
Journal:  J Magn Reson Imaging       Date:  2005-07       Impact factor: 4.813

7.  Full tensor diffusion imaging is not required to assess the white-matter integrity in mouse contusion spinal cord injury.

Authors:  Tsang-Wei Tu; Joong H Kim; Jian Wang; Sheng-Kwei Song
Journal:  J Neurotrauma       Date:  2010-01       Impact factor: 5.269

Review 8.  Pathophysiology and natural history of cervical spondylotic myelopathy.

Authors:  Spyridon K Karadimas; W Mark Erwin; Claire G Ely; Joseph R Dettori; Michael G Fehlings
Journal:  Spine (Phila Pa 1976)       Date:  2013-10-15       Impact factor: 3.468

Review 9.  A review of the pathophysiology of cervical spondylotic myelopathy with insights for potential novel mechanisms drawn from traumatic spinal cord injury.

Authors:  M G Fehlings; G Skaf
Journal:  Spine (Phila Pa 1976)       Date:  1998-12-15       Impact factor: 3.468

10.  Reevaluation of the Pavlov ratio in patients with cervical myelopathy.

Authors:  Kyung-Soo Suk; Ki-Tack Kim; Jung-Hee Lee; Sang-Hun Lee; Jin-Soo Kim; Jin-Young Kim
Journal:  Clin Orthop Surg       Date:  2009-02-06
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  7 in total

Review 1.  Quantitative MR Markers in Non-Myelopathic Spinal Cord Compression: A Narrative Review.

Authors:  Jan Valošek; Petr Bednařík; Miloš Keřkovský; Petr Hluštík; Josef Bednařík; Alena Svatkova
Journal:  J Clin Med       Date:  2022-04-20       Impact factor: 4.964

2.  Detection of cerebral reorganization associated with degenerative cervical myelopathy using diffusion spectral imaging (DSI).

Authors:  Chencai Wang; Langston T Holly; Talia Oughourlian; Jingwen Yao; Catalina Raymond; Noriko Salamon; Benjamin M Ellingson
Journal:  J Clin Neurosci       Date:  2021-02-05       Impact factor: 1.961

3.  Decreased Value of Highly Accurate Fractional Anisotropy Using 3-Tesla ZOOM Diffusion Tensor Imaging After Decompressive Surgery in Patients with Cervical Spondylotic Myelopathy: Aligned Fibers Effect.

Authors:  Motoyuki Iwasaki; Takumi Yokohama; Daisuke Oura; Shou Furuya; Yoshimasa Niiya; Tomoyuki Okuaki
Journal:  World Neurosurg X       Date:  2019-07-26

4.  Analysis of Correlation Between Age and Cervical Facet Joint Degeneration and Modic Changes in Patients with Cervical Spondylotic Myelopathy.

Authors:  Bin Lv; Xiaochen Fan; Hua Ding; Peng Ji; Yilei Zhao; Bowen Wan; Qinyi Jiang; Yongjun Luo; Tao Xu; Zhimin Zhou; Jian Chen; Jishan Yuan; Lei Wang; Anquan Huang
Journal:  Med Sci Monit       Date:  2019-10-21

5.  HARDI-ZOOMit protocol improves specificity to microstructural changes in presymptomatic myelopathy.

Authors:  René Labounek; Jan Valošek; Tomáš Horák; Alena Svátková; Petr Bednařík; Lubomír Vojtíšek; Magda Horáková; Igor Nestrašil; Christophe Lenglet; Julien Cohen-Adad; Josef Bednařík; Petr Hluštík
Journal:  Sci Rep       Date:  2020-10-16       Impact factor: 4.379

6.  Imaging and Electrophysiology for Degenerative Cervical Myelopathy [AO Spine RECODE-DCM Research Priority Number 9].

Authors:  Allan R Martin; Lindsay Tetreault; Aria Nouri; Armin Curt; Patrick Freund; Vafa Rahimi-Movaghar; Jefferson R Wilson; Michael G Fehlings; Brian K Kwon; James S Harrop; Benjamin M Davies; Mark R N Kotter; James D Guest; Bizhan Aarabi; Shekar N Kurpad
Journal:  Global Spine J       Date:  2021-11-19

7.  Quantitative Evaluation of the Diffusion Tensor Imaging Matrix Parameters and the Subsequent Correlation with the Clinical Assessment of Disease Severity in Cervical Spondylotic Myelopathy.

Authors:  Neha Nischal; Shalini Tripathi; Jatinder Pal Singh
Journal:  Asian Spine J       Date:  2020-11-16
  7 in total

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