Literature DB >> 32816762

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

X Han1,2, X Ma3, D Li1,4, J Wang1, W Jiang5, X Cheng5, G Li5, H Guo6, W Tian7.   

Abstract

BACKGROUND AND
PURPOSE: DTI has been proved valuable for the diagnosis of degenerative cervical myelopathy, whereas its capacity for predicting the outcome of surgery is still under debate. Here we conduct a prospective cohort study to analyze the capacity of DTI for evaluating and predicting laminoplasty surgery outcome for degenerative cervical myelopathy.
MATERIALS AND METHODS: We recruited 55 patients with degenerative cervical myelopathy who underwent DTI before surgery and at 3- and 6-month follow-up stages, and 20 healthy subjects. For clinical assessment, the modified Japanese Orthopedic Association scale was recorded for each patient at different stages. DTI metrics were compared between patients before surgery and healthy subjects. Spearman correlation and receiver operating characteristic were used to analyze the evaluation and prediction capacity of DTI for the modified Japanese Orthopedic Association scale, respectively. We analyzed different vertebral levels: maximal compression level, average of all compression levels, and C2 level.
RESULTS: DTI metrics were significantly different between patients before surgery and healthy subjects. Before surgery, DTI for the maximal compression level or DTI for the average of all compression levels had no significant correlation with the modified Japanese Orthopedic Association scale. For all stages, DTI at the C2 level was correlated with the modified Japanese Orthopedic Association scale. DTI metrics at the C2 level before surgery were significantly correlated with the postoperative modified Japanese Orthopedic Association scale recovery rate. Receiver operating characteristic analysis demonstrated that fractional anisotropy at C2 was capable of predicting the postoperative modified Japanese Orthopedic Association scale recovery rate (P = .04).
CONCLUSIONS: The DTI metrics before laminoplasty surgery, especially fractional anisotropy at the C2 level, have the potential for evaluating and predicting the degenerative cervical myelopathy surgery outcome.
© 2020 by American Journal of Neuroradiology.

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Year:  2020        PMID: 32816762      PMCID: PMC7583128          DOI: 10.3174/ajnr.A6705

Source DB:  PubMed          Journal:  AJNR Am J Neuroradiol        ISSN: 0195-6108            Impact factor:   3.825


  33 in total

1.  High-resolution DTI with 2D interleaved multislice reduced FOV single-shot diffusion-weighted EPI (2D ss-rFOV-DWEPI).

Authors:  Eun-Kee Jeong; Seong-Eun Kim; Junyu Guo; Eugene G Kholmovski; Dennis L Parker
Journal:  Magn Reson Med       Date:  2005-12       Impact factor: 4.668

2.  A Follow-up Study of Postoperative DCM Patients Using Diffusion MRI with DTI and NODDI.

Authors:  Xiaodong Ma; Xiao Han; Wen Jiang; Jinchao Wang; Zhe Zhang; Guangqi Li; Jieying Zhang; Xiaoguang Cheng; Huijun Chen; Hua Guo; Wei Tian
Journal:  Spine (Phila Pa 1976)       Date:  2018-08-01       Impact factor: 3.468

Review 3.  Psychometric analysis and critical appraisal of the original, revised, and modified versions of the Japanese Orthopaedic Association score in the assessment of patients with cervical spondylotic myelopathy.

Authors:  Julio C Furlan; B Catharine Craven
Journal:  Neurosurg Focus       Date:  2016-06       Impact factor: 4.047

4.  Localized high-resolution DTI of the human midbrain using single-shot EPI, parallel imaging, and outer-volume suppression at 7T.

Authors:  Christopher J Wargo; John C Gore
Journal:  Magn Reson Imaging       Date:  2013-03-29       Impact factor: 2.546

Review 5.  Degenerative Cervical Myelopathy: A Spectrum of Related Disorders Affecting the Aging Spine.

Authors:  Lindsay Tetreault; Christina L Goldstein; Paul Arnold; James Harrop; Alan Hilibrand; Aria Nouri; Michael G Fehlings
Journal:  Neurosurgery       Date:  2015-10       Impact factor: 4.654

6.  Magnetic resonance diffusion tensor imaging in patients with cervical spondylotic spinal cord compression: correlations between clinical and electrophysiological findings.

Authors:  Miloš Kerkovský; Josef Bednarík; Ladislav Dušek; Andrea Sprláková-Puková; Igor Urbánek; Marek Mechl; Vlastimil Válek; Zdenek Kadanka
Journal:  Spine (Phila Pa 1976)       Date:  2012-01-01       Impact factor: 3.468

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

Authors:  Chun Yi Wen; Jiao Long Cui; Harris S Liu; Kin Cheung Mak; Wai Yuen Cheung; Keith D K Luk; Yong Hu
Journal:  Radiology       Date:  2013-10-28       Impact factor: 11.105

Review 8.  FSL.

Authors:  Mark Jenkinson; Christian F Beckmann; Timothy E J Behrens; Mark W Woolrich; Stephen M Smith
Journal:  Neuroimage       Date:  2011-09-16       Impact factor: 6.556

9.  Diffusion tensor imaging as an additional postoperative prognostic predictor factor in cervical myelopathy patients: An observational study.

Authors:  Sunil Bhosale; Pramod Ingale; Sudhir Srivastava; Nandan Marathe; Prajakta Bhide
Journal:  J Craniovertebr Junction Spine       Date:  2019 Jan-Mar

10.  Accuracy of Diffusion Tensor Imaging for Diagnosing Cervical Spondylotic Myelopathy in Patients Showing Spinal Cord Compression.

Authors:  Seungbo Lee; Young Han Lee; Tae-Sub Chung; Eun-Kee Jeong; Sungjun Kim; Yeon Hwa Yoo; In Seong Kim; Choon-Sik Yoon; Jin-Suck Suh; Jung Hyun Park
Journal:  Korean J Radiol       Date:  2015-10-26       Impact factor: 3.500

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  2 in total

1.  Application of Neurite Orientation Dispersion and Density Imaging to Evaluate and Predict the Surgical Outcome for Degenerative Cervical Myelopathy.

Authors:  Xiao Han; Xiaodong Ma; Donghang Li; Jinchao Wang; Wen Jiang; Guangqi Li; Xiaoguang Cheng; Hua Guo; Wei Tian
Journal:  Orthop Surg       Date:  2022-06-10       Impact factor: 2.279

2.  Changes and clinical correlation of diffusion tensor imaging parameters of compressed spinal cord and nerve root in patients with cervical spondylosis.

Authors:  Shuo Liang; Feng Yang; Yang Zhang; Huiyu Zhao; Xinyue Wang
Journal:  BMC Med Imaging       Date:  2022-06-03       Impact factor: 2.795

  2 in total

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