Literature DB >> 25746116

Correlation between degree of subvoxel spinal cord compression measured with super-resolution tract density imaging and neurological impairment in cervical spondylotic myelopathy.

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

Abstract

OBJECT The purpose of this study was to explore the use of super-resolution tract density images derived from probabilistic diffusion tensor imaging (DTI) tractography of the spinal cord as an imaging surrogate for microstructural integrity and functional impairment in patients with cervical spondylosis. METHODS Structural MRI and DTI images were collected for 27 patients with cervical spondylosis with (n= 21) and without (n= 6) functional impairment as defined by the modified Japanese Orthopaedic Association Scale (mJOA). DTI was performed axially through the site of compression in a total of 20 directions with 10 averages. Probabilistic tractography was performed at 0.5-mm isotropic spatial resolution using the streamline technique combined with constrained spherical deconvolution. The following measurements were calculated for each patient: maximum tract density at the site of compression, average tract density in rostral normal-appearing spinal cord, and the ratio of maximum density to normal density. RESULTS Compared with normal tissue, the site of compression exhibited elevated fiber tract density in all patients, and a higher fiber tract density was also noted in focal areas at the site of compression in patients with functional impairment. There was a strong negative correlation between maximum tract density and mJOA score (R(2)= 0.6324, p < 0.0001) and the ratio of maximum tract density to normal tract density (R(2)= 0.6647, p < 0.0001). When grouped according to severity of neurological impairment (asymptomatic, mJOA score of 18; mild, mJOA score of 15-17; moderate, mJOA score of 11-14; and severe, mJOA score < 11), the results showed a significant difference in the ratio between severe and both no impairment (p= 0.0009) and any impairment (p= 0.036). A ratio of maximum fiber tract density at the site of compression to fiber tract density at C-2 greater than 1.45 had 82% sensitivity and 70% specificity for identifying patients with moderate to severe impairment (ROC AUC= 0.8882, p= 0.0009). CONCLUSIONS These results support the use of DTI as a surrogate for determining spinal cord integrity in patients with cervical spondylosis. Probabilistic tractography provides spinal cord microstructural information that can help discern clinical status in cervical spondylosis patients with varying degrees of neurological impairment.

Entities:  

Keywords:  AUC= area under the ROC curve; CSM= cervical spondylotic myelopathy; DTI; DTI= diffusion tensor imaging; ROC= receiver-operator characteristic; SEA= snake-eye appearance; TDI= tract density imaging; biomarker; cervical spondylotic myelopathy; diffusion tensor imaging; mJOA= modified Japanese Orthopaedic Association Scale; modified Japanese Orthopaedic Association Scale; spinal cord; stenosis; tractography

Mesh:

Year:  2015        PMID: 25746116      PMCID: PMC5565223          DOI: 10.3171/2014.10.SPINE14222

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


  41 in total

1.  Intramedullary increased MR signal intensity and its relation to clinical features in cervical myelopathy.

Authors:  F Puzzilli; L Mastronardi; A Ruggeri; P Lunardi
Journal:  J Neurosurg Sci       Date:  1999-06       Impact factor: 2.279

2.  3 T magnetic resonance diffusion tensor imaging and fibre tracking in cervical myelopathy.

Authors:  M Xiangshui; C Xiangjun; Z Xiaoming; Z Qingshi; C Yi; Q Chuanqiang; M Xiangxing; L Chuanfu; H Jinwen
Journal:  Clin Radiol       Date:  2010-04-18       Impact factor: 2.350

3.  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

4.  Postmortem study of the spinal cord showing snake-eyes appearance due to damage by ossification of the posterior longitudinal ligament and kyphotic deformity.

Authors:  J Mizuno; H Nakagawa; H-S Chang; Y Hashizume
Journal:  Spinal Cord       Date:  2005-08       Impact factor: 2.772

5.  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

6.  The role of DTI in early detection of cervical spondylotic myelopathy: a preliminary study with 3-T MRI.

Authors:  Batuhan Kara; Azim Celik; Selhan Karadereler; Levent Ulusoy; Kursat Ganiyusufoglu; Levent Onat; Ayhan Mutlu; Ibrahim Ornek; Mustafa Sirvanci; Azmi Hamzaoglu
Journal:  Neuroradiology       Date:  2011-02-23       Impact factor: 2.804

7.  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

8.  Diffusion tensor imaging and fiber tractography of patients with cervical spinal cord injury.

Authors:  Yongmin Chang; Tae-Du Jung; Dong Soo Yoo; Jung Keun Hyun
Journal:  J Neurotrauma       Date:  2010-11       Impact factor: 5.269

9.  Clinicopathological study of "snake-eye appearance" in compressive myelopathy of the cervical spinal cord.

Authors:  Junichi Mizuno; Hiroshi Nakagawa; Tatsushi Inoue; Yoshio Hashizume
Journal:  J Neurosurg       Date:  2003-09       Impact factor: 5.115

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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  14 in total

Review 1.  Track-weighted imaging methods: extracting information from a streamlines tractogram.

Authors:  Fernando Calamante
Journal:  MAGMA       Date:  2017-02-08       Impact factor: 2.310

2.  Correlation of force control with regional spinal DTI in patients with cervical spondylosis without signs of spinal cord injury on conventional MRI.

Authors:  Påvel G Lindberg; Katherine Sanchez; Fidan Ozcan; François Rannou; Serge Poiraudeau; Antoine Feydy; Marc A Maier
Journal:  Eur Radiol       Date:  2015-06-27       Impact factor: 5.315

3.  Ex vivo 1H MR spectroscopy and histology after experimental chronic spinal cord compression.

Authors:  Stephan Duetzmann; Ulrich Pilatus; Volker Seifert; Gerhard Marquardt; Matthias Setzer
Journal:  J Spine Surg       Date:  2017-06

4.  Are Magnetic Resonance Imaging Technologies Crucial to Our Understanding of Spinal Conditions?

Authors:  Rebecca J Crawford; Maryse Fortin; Kenneth A Weber; Andrew Smith; James M Elliott
Journal:  J Orthop Sports Phys Ther       Date:  2019-03-26       Impact factor: 4.751

5.  Disease-Related Microstructural Differences in the Brain in Women With Provoked Vestibulodynia.

Authors:  Arpana Gupta; Davis C Woodworth; Benjamin M Ellingson; Andrea J Rapkin; Bruce Naliboff; Lisa A Kilpatrick; Jean Stains; Salome Masghati; Kirsten Tillisch; Emeran A Mayer; Jennifer S Labus
Journal:  J Pain       Date:  2018-01-31       Impact factor: 5.820

6.  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

7.  Prediction of Neurological Impairment in Cervical Spondylotic Myelopathy using a Combination of Diffusion MRI and Proton MR Spectroscopy.

Authors:  Benjamin M Ellingson; Noriko Salamon; Anthony J Hardy; Langston T Holly
Journal:  PLoS One       Date:  2015-10-02       Impact factor: 3.240

8.  Compensatory brainstem functional and structural connectivity in patients with degenerative cervical myelopathy by probabilistic tractography and functional MRI.

Authors:  Chencai Wang; Azim Laiwalla; Noriko Salamon; Benjamin M Ellingson; Langston T Holly
Journal:  Brain Res       Date:  2020-09-17       Impact factor: 3.252

9.  Voxel-based analysis of grey and white matter degeneration in cervical spondylotic myelopathy.

Authors:  Patrick Grabher; Siawoosh Mohammadi; Aaron Trachsler; Susanne Friedl; Gergely David; Reto Sutter; Nikolaus Weiskopf; Alan J Thompson; Armin Curt; Patrick Freund
Journal:  Sci Rep       Date:  2016-04-20       Impact factor: 4.379

10.  Surgical Outcomes and Correlation of the Copenhagen Neck Functional Disability Scale and Modified Japanese Orthopedic Association Assessment Scales in Patients with Cervical Spondylotic Myelopathy.

Authors:  Shirzad Azhari; Parisa Azimi; Sohrab Shazadi; Hamid Khayat Kashany; Hossein Nayeb Aghaei; Hassan Reza Mohammadi
Journal:  Asian Spine J       Date:  2016-06-16
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