Literature DB >> 28623403

Diffusion tensor imaging can predict surgical outcomes of patients with cervical compression myelopathy.

Satoshi Maki1, Masao Koda2, Mitsuhiro Kitamura2, Taigo Inada2, Koshiro Kamiya2, Mitsutoshi Ota2, Yasushi Iijima2, Junya Saito2, Yoshitada Masuda3, Koji Matsumoto3, Masatoshi Kojima3, Takayuki Obata4, Kazuhisa Takahashi2, Masashi Yamazaki5, Takeo Furuya2.   

Abstract

PURPOSE: The aim of this study was to assess the potential role of diffusion tensor imaging (DTI) as a predictor of surgical outcomes in patients with cervical compressive myelopathy (CCM). Surgical decompression is often recommended for symptomatic CCM. It is important to know the prognosis of surgical outcomes and to recommend appropriate timing for surgery.
METHODS: We enrolled 26 patients with CCM who underwent surgery. The Japanese Orthopaedic Association (JOA) score for cervical myelopathy was evaluated before and 6 months after surgery. Surgical outcomes were regarded as good if there was a change in JOA score of three points or more, or the recovery rate of JOA score was 50% or more. The patients were examined using a 3.0 T magnetic resonance system before surgery. Measured diffusion parameters were fractional anisotropy (FA) and mean diffusivity (MD). The correlations between DTI parameters and surgical outcomes were analyzed.
RESULTS: Both change and recovery rate of JOA score moderately correlated with FA. Furthermore, the area under the receiver-operator characteristic curve based on FA for prognostic precision of surgical outcomes indicates that FA is a good predictive factor. The cut-off values of FA for predicting good surgical outcomes evaluated by change and recovery rate of JOA score were 0.65 and 0.57, respectively. Neither change nor recovery rate of JOA score correlated with MD.
CONCLUSIONS: FA in spinal cord DTI can moderately predict surgical outcomes. DTI can serve as a supplementary tool for decision-making to guide surgical intervention in patients with CCM.

Entities:  

Keywords:  Cervical spondylotic myelopathy; Diffusion tensor imaging; Magnetic resonance imaging; Ossification of the longitudinal ligament; Spinal cord; Surgical outcomes

Mesh:

Year:  2017        PMID: 28623403     DOI: 10.1007/s00586-017-5191-7

Source DB:  PubMed          Journal:  Eur Spine J        ISSN: 0940-6719            Impact factor:   3.134


  42 in total

1.  Predictors of surgical outcome in cervical spondylotic myelopathy: focusing on the quantitative signal intensity.

Authors:  Jing Tao Zhang; Fan Tao Meng; Shuai Wang; Lin Feng Wang; Yong Shen
Journal:  Eur Spine J       Date:  2015-07-09       Impact factor: 3.134

2.  Analysis of the diffusion tensor imaging parameters of a normal cervical spinal cord in a healthy population.

Authors:  Liang-Feng Wei; Shou-Sen Wang; Zhao-Cong Zheng; Jun Tian; Liang Xue
Journal:  J Spinal Cord Med       Date:  2016-11-04       Impact factor: 1.985

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.  Magnetic resonance T2 image signal intensity ratio and clinical manifestation predict prognosis after surgical intervention for cervical spondylotic myelopathy.

Authors:  Ying-Ze Zhang; Yong Shen; Lin-Feng Wang; Wen-Yuan Ding; Jia-Xin Xu; Jie He
Journal:  Spine (Phila Pa 1976)       Date:  2010-05-01       Impact factor: 3.468

5.  Association of magnetic resonance imaging signal changes and outcome prediction after surgery for cervical spondylotic myelopathy.

Authors:  Aditya Vedantam; Ashish Jonathan; Vedantam Rajshekhar
Journal:  J Neurosurg Spine       Date:  2011-09-16

Review 6.  Translating state-of-the-art spinal cord MRI techniques to clinical use: A systematic review of clinical studies utilizing DTI, MT, MWF, MRS, and fMRI.

Authors:  Allan R Martin; Izabela Aleksanderek; Julien Cohen-Adad; Zenovia Tarmohamed; Lindsay Tetreault; Nathaniel Smith; David W Cadotte; Adrian Crawley; Howard Ginsberg; David J Mikulis; Michael G Fehlings
Journal:  Neuroimage Clin       Date:  2015-12-04       Impact factor: 4.881

7.  A clinical prediction model to determine outcomes in patients with cervical spondylotic myelopathy undergoing surgical treatment: data from the prospective, multi-center AOSpine North America study.

Authors:  Lindsay A Tetreault; Branko Kopjar; Alexander Vaccaro; Sangwook Tim Yoon; Paul M Arnold; Eric M Massicotte; Michael G Fehlings
Journal:  J Bone Joint Surg Am       Date:  2013-09-18       Impact factor: 5.284

8.  The modified Japanese Orthopaedic Association scale: establishing criteria for mild, moderate and severe impairment in patients with degenerative cervical myelopathy.

Authors:  Lindsay Tetreault; Branko Kopjar; Aria Nouri; Paul Arnold; Giuseppe Barbagallo; Ronald Bartels; Zhou Qiang; Anoushka Singh; Mehmet Zileli; Alexander Vaccaro; Michael G Fehlings
Journal:  Eur Spine J       Date:  2016-06-24       Impact factor: 3.134

Review 9.  Advances in MR imaging for cervical spondylotic myelopathy.

Authors:  Benjamin M Ellingson; Noriko Salamon; Langston T Holly
Journal:  Eur Spine J       Date:  2013-08-06       Impact factor: 3.134

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

View more
  3 in total

1.  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

2.  The Evaluation and Prediction of Laminoplasty Surgery Outcome in Patients with Degenerative Cervical Myelopathy Using Diffusion Tensor MRI.

Authors:  X Han; X Ma; D Li; J Wang; W Jiang; X Cheng; G Li; H Guo; W Tian
Journal:  AJNR Am J Neuroradiol       Date:  2020-08-13       Impact factor: 3.825

3.  Degenerative Cervical Myelopathy: How to Identify the Best Responders to Surgery?

Authors:  Rocco Severino; Aria Nouri; Enrico Tessitore
Journal:  J Clin Med       Date:  2020-03-11       Impact factor: 4.241

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.