Literature DB >> 28872149

Correlation between diffusion tensor imaging parameters and clinical assessments in patients with cervical spondylotic myelopathy with and without high signal intensity.

Y Liu1, C Kong2, L Cui1, X Yuan1, P Zhao1, Y Zhang1, Y Guan3, X Chen1.   

Abstract

STUDY
DESIGN: A cross-sectional observational study.
OBJECTIVES: The aim of this study is to compare the apparent diffusion coefficient (ADC) and fractional anisotropy (FA) between patients with cervical spondylotic myelopathy (CSM) with and without high T2-weighted signal intensity, and to correlate each parameter with clinical assessments.
SETTING: CSM is a common cause of spinal cord dysfunction. The significance of T2 high signal intensity in the prognosis of CSM remains controversial.
METHODS: Diffusion tensor imaging was performed at the cervical spinal cord in 40 patients with CSM and 42 healthy subjects. Patients with high signal intensity were separated from those without high signal intensity. ADC and FA values were compared among different groups, and the correlation between each parameter and the modified Japanese Orthopedic Association (mJOA) score was examined.
RESULTS: The ADC and FA values of C2/3 differed significantly from those of C5/6 and C6/7 in healthy subjects. Patients with CSM had a higher ADC but a lower FA value than did healthy subjects. In all patients with CSM, there was a negative linear correlation between ADC and mJOA score, but FA value correlated positively with mJOA score. Secondary analysis suggested that FA value in patients with high signal intensity was lower than that in patients without high signal intensity. FA value showed a positive linear correlation with mJOA score in the patients with high signal intensity but not in the patients without high signal intensity.
CONCLUSIONS: Patients with high signal intensity may have more severe spinal cord injury than patients without high signal intensity, and FA may be a useful indicator of functional status in patients with CSM with high signal intensity.

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Year:  2017        PMID: 28872149     DOI: 10.1038/sc.2017.75

Source DB:  PubMed          Journal:  Spinal Cord        ISSN: 1362-4393            Impact factor:   2.772


  32 in total

1.  Intramedullary high signal intensity on T2-weighted MR images in cervical spondylotic myelopathy: prediction of prognosis with type of intensity.

Authors:  C J Chen; R K Lyu; S T Lee; Y C Wong; L J Wang
Journal:  Radiology       Date:  2001-12       Impact factor: 11.105

2.  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

3.  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

4.  Prognostic value of changes in spinal cord signal intensity on magnetic resonance imaging in patients with cervical compressive myelopathy.

Authors:  Kenzo Uchida; Hideaki Nakajima; Naoto Takeura; Takafumi Yayama; Alexander Rodriguez Guerrero; Ai Yoshida; Takumi Sakamoto; Kazuya Honjoh; Hisatoshi Baba
Journal:  Spine J       Date:  2013-10-18       Impact factor: 4.166

5.  Diffusion tensor imaging as a predictor of locomotor function after experimental spinal cord injury and recovery.

Authors:  Brian J Kelley; Noam Y Harel; Chang-Yeon Kim; Xenophon Papademetris; Daniel Coman; Xingxing Wang; Omar Hasan; Adam Kaufman; Ronen Globinsky; Lawrence H Staib; William B J Cafferty; Fahmeed Hyder; Stephen M Strittmatter
Journal:  J Neurotrauma       Date:  2014-07-08       Impact factor: 5.269

6.  Clinical and MRI predictors of outcome after surgical intervention for cervical spondylotic myelopathy.

Authors:  T Alafifi; R Kern; M Fehlings
Journal:  J Neuroimaging       Date:  2007-10       Impact factor: 2.486

7.  Operative results and postoperative progression of ossification among patients with ossification of cervical posterior longitudinal ligament.

Authors:  K Hirabayashi; J Miyakawa; K Satomi; T Maruyama; K Wakano
Journal:  Spine (Phila Pa 1976)       Date:  1981 Jul-Aug       Impact factor: 3.468

8.  Experimental chronic compressive cervical myelopathy.

Authors:  O al-Mefty; H L Harkey; I Marawi; D E Haines; D F Peeler; H I Wilner; R R Smith; H R Holaday; J L Haining; W F Russell
Journal:  J Neurosurg       Date:  1993-10       Impact factor: 5.115

9.  Cervical spondylotic myelopathy: surgical results and factors affecting prognosis.

Authors:  S Naderi; S Ozgen; M N Pamir; M M Ozek; C Erzen
Journal:  Neurosurgery       Date:  1998-07       Impact factor: 4.654

10.  Effect of intramedullary signal changes on the surgical outcome of patients with cervical spondylotic myelopathy.

Authors:  Ashish Suri; Ravinder Pal Singh Chabbra; Veer Singh Mehta; Sailesh Gaikwad; Ram Mohan Pandey
Journal:  Spine J       Date:  2003 Jan-Feb       Impact factor: 4.166

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  2 in total

1.  Diffusion Tensor Imaging in Diagnosis of Post-Traumatic Syringomyelia in Spinal Cord Injury in Rats.

Authors:  Chao Zhang; Kai Chen; Xiuxin Han; Jiayuanyuan Fu; Patricia Douglas; Anna Y Morozova; Maxim A Abakumov; Ilya L Gubsky; Dejin Li; Jin Guo; Xuening Zhang; Guowen Wang; Vladimir P Chekhonin
Journal:  Med Sci Monit       Date:  2018-01-09

2.  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
  2 in total

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