Literature DB >> 26123409

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

Påvel G Lindberg1,2,3,4, Katherine Sanchez5,6,7, Fidan Ozcan8, François Rannou5,6,7, Serge Poiraudeau5,6,7, Antoine Feydy8,5,9, Marc A Maier8,5,10.   

Abstract

OBJECTIVES: The aim of this study was to investigate spinal cord structure in patients with cervical spondylosis where conventional MRI fails to reveal spinal cord damage.
METHODS: We performed a cross-sectional study of patients with cervical spondylosis without conventional MRI findings of spinal cord damage and healthy controls. Subjects were studied using spinal diffusion tensor imaging (DTI), precision grip and foot force-tracking tasks, and a clinical examination including assessment of neurological signs. A regional analysis of lateral and medial spinal white matter across multiple cervical levels (C1-C5) was performed.
RESULTS: DTI revealed reduced fractional anisotropy (FA) and increased radial diffusivity (RD) in the lateral spinal cord at the level of greatest compression (lowest Pavlov ratio) in patients (p < 0.05). Patients with spondylosis had greater error and longer release duration in both grip and foot force-tracking. Similar spinal cord deficits were present in patients without neurological signs. Increased error in grip and foot tracking (low accuracy) correlated with increased RD in the lateral spinal cord at the level of greatest compression (p ≤ 0.01).
CONCLUSIONS: Spinal DTI can detect subtle spinal cord damage of functional relevance in cervical spondylosis, even in patients without signs on conventional T2-imaging and without neurological signs. KEY POINTS: DTI reveals spinal cord changes in cervical spondylosis with few symptoms. DTI changes were present despite normal spinal cord on conventional MRI. DTI parameters correlated with force control accuracy in hand and foot. Spinal DTI is a promising technique for patients with cervical spondylosis.

Entities:  

Keywords:  Cervical spondylosis; Diffusion tensor imaging; Force control; Pavlov ratio; Spinal cord

Mesh:

Year:  2015        PMID: 26123409     DOI: 10.1007/s00330-015-3876-z

Source DB:  PubMed          Journal:  Eur Radiol        ISSN: 0938-7994            Impact factor:   5.315


  42 in total

1.  White matter organization in cervical spinal cord relates differently to age and control of grip force in healthy subjects.

Authors:  Påvel G Lindberg; Antoine Feydy; Marc A Maier
Journal:  J Neurosci       Date:  2010-03-17       Impact factor: 6.167

2.  Diffusion tensor imaging reveals regional differences in the cervical spinal cord in amyotrophic lateral sclerosis.

Authors:  Govind Nair; John D Carew; Sharon Usher; Debbie Lu; Xiaoping P Hu; Michael Benatar
Journal:  Neuroimage       Date:  2010-06-28       Impact factor: 6.556

3.  Precision in isometric precision grip force is reduced in middle-aged adults.

Authors:  Påvel Lindberg; Chrystele Ody; Antoine Feydy; Marc A Maier
Journal:  Exp Brain Res       Date:  2008-10-25       Impact factor: 1.972

4.  MR diffusion tensor imaging and fiber tracking in 5 spinal cord astrocytomas.

Authors:  D Ducreux; J-F Lepeintre; P Fillard; C Loureiro; M Tadié; P Lasjaunias
Journal:  AJNR Am J Neuroradiol       Date:  2006-01       Impact factor: 3.825

5.  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

6.  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

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.  Wallerian degeneration in lateral cervical spinal cord detected with diffusion tensor imaging in four chronic stroke patients.

Authors:  Påvel G Lindberg; Djamel Bensmail; Bernard Bussel; Marc A Maier; Antoine Feydy
Journal:  J Neuroimaging       Date:  2011-01       Impact factor: 2.486

9.  A novel experimental model of cervical spondylotic myelopathy (CSM) to facilitate translational research.

Authors:  Spyridon K Karadimas; Eun Su Moon; Wen-Ru Yu; Kajana Satkunendrarajah; Joannis K Kallitsis; Georgios Gatzounis; Michael G Fehlings
Journal:  Neurobiol Dis       Date:  2013-03-04       Impact factor: 5.996

10.  Impaired postural stability in patients with cervical myelopathy: evaluation by computerized static stabilometry.

Authors:  Masaho Yoshikawa; Minoru Doita; Koji Okamoto; Michihiko Manabe; Norihide Sha; Masahiro Kurosaka
Journal:  Spine (Phila Pa 1976)       Date:  2008-06-15       Impact factor: 3.468

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  15 in total

1.  The functional relevance of diffusion tensor imaging in comparison to conventional MRI in patients with cervical compressive myelopathy.

Authors:  Young-Mi Yang; Woo-Kyoung Yoo; Je Hyun Yoo; Yoon Hae Kwak; Jae-Keun Oh; Ji-Sun Song; Seok Woo Kim
Journal:  Skeletal Radiol       Date:  2017-07-17       Impact factor: 2.199

2.  Predictive value of flexion and extension diffusion tensor imaging in the early stage of cervical myelopathy.

Authors:  Tomasz Tykocki; Philip English; David Minks; Arunkumar Krishnakumar; Guy Wynne-Jones
Journal:  Neuroradiology       Date:  2018-09-19       Impact factor: 2.804

3.  Kinetic DTI of the cervical spine: diffusivity changes in healthy subjects.

Authors:  Félix P Kuhn; Antoine Feydy; Nathalie Launay; Marie-Martine Lefevre-Colau; Serge Poiraudeau; Sébastien Laporte; Marc A Maier; Pavel Lindberg
Journal:  Neuroradiology       Date:  2016-06-08       Impact factor: 2.804

4.  Application of diffusion tensor imaging in quantitatively monitoring chronic constriction injury of rabbit sciatic nerves: correlation with histological and functional changes.

Authors:  Wenjun Wu; Yanfeng Niu; Xiangquan Kong; Dingxi Liu; Xi Long; Shenglei Shu; Xiaoyun Su; Bing Wang; Xiaoming Liu; Yamei Ma; Lixia Wang
Journal:  Br J Radiol       Date:  2017-12-15       Impact factor: 3.039

Review 5.  Quantitative magnetic resonance (MR) neurography for evaluation of peripheral nerves and plexus injuries.

Authors:  Teodoro Martín Noguerol; Rafael Barousse; Mariano Socolovsky; Antonio Luna
Journal:  Quant Imaging Med Surg       Date:  2017-08

6.  Assessment of acute traumatic cervical spinal cord injury using conventional magnetic resonance imaging in combination with diffusion tensor imaging-tractography: a retrospective comparative study.

Authors:  Fengzhao Zhu; Yulong Wang; Xiangchuang Kong; Yuan Liu; Lian Zeng; Xirui Jing; Sheng Yao; Kaifang Chen; Lian Yang; Xiaodong Guo
Journal:  Eur Spine J       Date:  2022-05-31       Impact factor: 2.721

Review 7.  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

8.  A preliminary study of 3.0-T magnetic resonance diffusion tensor imaging in cervical spondylotic myelopathy.

Authors:  Fulong Dong; Yuanyuan Wu; Peiwen Song; Yinfeng Qian; Ying Wang; Liyan Xu; Minmin Yin; Renjie Zhang; Hui Tao; Peng Ge; Chang Liu; Huaqing Zhang; Jinwen Zhu; Cailiang Shen; Yongqiang Yu
Journal:  Eur Spine J       Date:  2018-04-04       Impact factor: 3.134

9.  Recent Developments in Diffusion Tensor Imaging of Brain.

Authors:  Mansi Bharat Parekh; Abhijit Achyut Gurjarpadhye; Martin A C Manoukian; Arita Dubnika; Jayakumar Rajadas; Mohammed Inayathullah
Journal:  Radiol Open J       Date:  2015-12-11

Review 10.  Upper Limb Outcome Measures Used in Stroke Rehabilitation Studies: A Systematic Literature Review.

Authors:  Leire Santisteban; Maxime Térémetz; Jean-Pierre Bleton; Jean-Claude Baron; Marc A Maier; Påvel G Lindberg
Journal:  PLoS One       Date:  2016-05-06       Impact factor: 3.240

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