Literature DB >> 23942607

Is diffusion anisotropy a biomarker for disease severity and surgical prognosis of cervical spondylotic myelopathy?

Chun Yi Wen1, Jiao Long Cui, Harris S Liu, Kin Cheung Mak, Wai Yuen Cheung, Keith D K Luk, Yong Hu.   

Abstract

PURPOSE: To explore the value of diffusion-tensor (DT) imaging in addressing the severity of cervical spondylotic myelopathy (CSM) and predicting the outcome of surgical treatment.
MATERIALS AND METHODS: From July 2009 to May 2012, 65 volunteers were recruited for this institutional review board-approved study, and all gave informed consent; 20 volunteers were healthy subjects (age range, 41-62 years), and 45 were patients with CSM (age range, 43-86 years). Anatomic and DT 3.0-T magnetic resonance images were obtained. Surgical decompression was performed in 22 patients with CSM, and patients were followed up for 6 months to 2 years. The clinical severity of myelopathy and postoperative recovery were assessed by using the modified Japanese Orthopaedic Association (mJOA) score. A recovery ratio (comparison of postoperative with preoperative mJOA score) of more than 50% indicated a good clinical outcome of surgery. DT findings, patient age, T2 high signal intensity (HSI), and somatosensory evoked potential (SEP) were analyzed by using a logistic regression model to predict the surgical outcome of patients with CSM.
RESULTS: A significant difference in cervical cord mean fractional anisotropy (FA) was found between healthy subjects and patients with CSM (0.65 ± 0.05 [standard deviation] vs 0.52 ± 0.13, P < .001). FA values were significantly correlated with the severity of neurologic dysfunction indicated by mJOA score (r(2) = 0.327, P = .016). Logistic regression analysis showed that mean FA (P = .030) and FA at the C2 vertebra (P = .035) enabled prediction of good surgical outcome; however, preoperative mJOA (P = .927), T2 HSI (P = .176), SEP amplitude (P = .154), and latency (P = .260) did not.
CONCLUSION: FA is a biomarker for the severity of myelopathy and for subsequent surgical outcome. © RSNA, 2013.

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Mesh:

Year:  2013        PMID: 23942607     DOI: 10.1148/radiol.13121885

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


  41 in total

1.  Application of diffusion tensor imaging for the diagnosis of segmental level of dysfunction in cervical spondylotic myelopathy.

Authors:  Y Suetomi; T Kanchiku; S Nishijima; Y Imajo; H Suzuki; Y Yoshida; N Nishida; T Taguchi
Journal:  Spinal Cord       Date:  2015-10-27       Impact factor: 2.772

2.  Quantitative assessment of column-specific degeneration in cervical spondylotic myelopathy based on diffusion tensor tractography.

Authors:  Jiao-Long Cui; Xiang Li; Tin-Yan Chan; Kin-Cheung Mak; Keith Dip-Kei Luk; Yong Hu
Journal:  Eur Spine J       Date:  2014-08-24       Impact factor: 3.134

3.  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

4.  A Novel MRI Biomarker of Spinal Cord White Matter Injury: T2*-Weighted White Matter to Gray Matter Signal Intensity Ratio.

Authors:  A R Martin; B De Leener; J Cohen-Adad; D W Cadotte; S Kalsi-Ryan; S F Lange; L Tetreault; A Nouri; A Crawley; D J Mikulis; H Ginsberg; M G Fehlings
Journal:  AJNR Am J Neuroradiol       Date:  2017-04-20       Impact factor: 3.825

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

Authors:  Benjamin M Ellingson; Noriko Salamon; Davis C Woodworth; Hajime Yokota; Langston T Holly
Journal:  J Neurosurg Spine       Date:  2018-02-09

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

Authors:  Satoshi Maki; Masao Koda; Mitsuhiro Kitamura; Taigo Inada; Koshiro Kamiya; Mitsutoshi Ota; Yasushi Iijima; Junya Saito; Yoshitada Masuda; Koji Matsumoto; Masatoshi Kojima; Takayuki Obata; Kazuhisa Takahashi; Masashi Yamazaki; Takeo Furuya
Journal:  Eur Spine J       Date:  2017-06-16       Impact factor: 3.134

7.  Tract-Specific Diffusion Tensor Imaging in Cervical Spondylotic Myelopathy Before and After Decompressive Spinal Surgery: Preliminary Results.

Authors:  K Y Wang; O Idowu; C B Thompson; G Orman; C Myers; L H Riley; J A Carrino; A Flammang; W Gilson; C L Sadowsky; I Izbudak
Journal:  Clin Neuroradiol       Date:  2015-06-24       Impact factor: 3.649

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

Authors:  Y Liu; C Kong; L Cui; X Yuan; P Zhao; Y Zhang; Y Guan; X Chen
Journal:  Spinal Cord       Date:  2017-09-05       Impact factor: 2.772

Review 9.  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

10.  Fractional anisotropy to quantify cervical spondylotic myelopathy severity.

Authors:  Rory K Murphy; Peng Sun; Rowland H Han; Kim J Griffin; Joanne Wagner; Chester K Yarbrough; Neill M Wright; Ian G Dorward; K Daniel Riew; Michael P Kelly; Paul Santiago; Lukas P Zebala; Kathryn Trinkaus; Wilson Z Ray; Sheng-Kwei Song
Journal:  J Neurosurg Sci       Date:  2016-05-05       Impact factor: 2.279

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