Literature DB >> 23932097

Correlation study of 3T-MR-DTI measurements and clinical symptoms of cervical spondylotic myelopathy.

Si-Jia Gao1, Xiao Yuan, Xu-Yuan Jiang, Xiu-Xiang Liu, Xi-Ping Liu, Yong-Feng Wang, Ji-Bin Cao, Lu-Na Bai, Ke Xu.   

Abstract

OBJECTIVE: To discuss the correlation between diffusion tensor imaging (DTI) measurements, diffusion tensor tractography and the clinical symptoms of cervical spondylotic myelopathy.
METHODS: Based on the Japanese Orthopedics Association (JOA) score, 104 cervical spondylotic myelopathy cases were first divided into four groups: mild, moderate, severe and serious groups. According to lesion signal characteristics, all cases were again divided into three groups: A(N/N): normal signal in both T1WI and T2WI; B (N/H): normal signal in T1WI but high signal in T2WI; and C (L/H): low signal in T1WI and high signal in T2WI. The apparent diffusion coefficient (ADC), fractional anisotropy (FA), λ1, λ2, and λ3 were measured and diffusion tensor tractography was performed in the seriously compressed section of the spinal cord.
RESULTS: The FA values were positively correlated with JOA scores (r=0.883, P<0.05), and significantly different among four JOA groups (P<0.05). The ADC, λ2, and λ3 were significantly different among the moderate, severe and serious groups as well as among the A, B, and C groups (P<0.05). Declining FA values were found associated with increasing fiber bundle damage.
CONCLUSIONS: The FA values and the change patterns of fiber bundle were more sensitive than T2WI for spinal cord lesion, and were positively correlated with clinical symptoms. Published by Elsevier Ireland Ltd.

Entities:  

Keywords:  Cervical spondylotic myelopathy; Diffusion tensor imaging; Diffusion tensor tractography; Magnetic resonance imaging

Mesh:

Year:  2013        PMID: 23932097     DOI: 10.1016/j.ejrad.2013.06.011

Source DB:  PubMed          Journal:  Eur J Radiol        ISSN: 0720-048X            Impact factor:   3.528


  17 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.  Machine Learning for the Prediction of Cervical Spondylotic Myelopathy: A Post Hoc Pilot Study of 28 Participants.

Authors:  Benjamin S Hopkins; Kenneth A Weber; Kartik Kesavabhotla; Monica Paliwal; Donald R Cantrell; Zachary A Smith
Journal:  World Neurosurg       Date:  2019-03-25       Impact factor: 2.104

Review 3.  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

4.  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

5.  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

6.  Correlation of diffusion tensor imaging parameters with neural status in Pott's spine.

Authors:  Nikhil Jain; Namita Singh Saini; Sudhir Kumar; Mukunth Rajagopalan; Kanti Lal Chakraborti; Anil Kumar Jain
Journal:  SICOT J       Date:  2016-04-29

7.  Diffusion Assessment of Cortical Changes, Induced by Traumatic Spinal Cord Injury.

Authors:  Peng Sun; Rory K J Murphy; Paul Gamble; Ajit George; Sheng-Kwei Song; Wilson Z Ray
Journal:  Brain Sci       Date:  2017-02-17

8.  Microstructural changes are coincident with the improvement of clinical symptoms in surgically treated compressed nerve roots.

Authors:  Weifei Wu; Jie Liang; Ying Chen; Aihua Chen; Yongde Wu; Zong Yang
Journal:  Sci Rep       Date:  2017-03-15       Impact factor: 4.379

9.  Tract-Specific Volume Loss on 3T MRI in Patients With Cervical Spondylotic Myelopathy.

Authors:  Benjamin S Hopkins; Kenneth A Weber; Michael Brendan Cloney; Monica Paliwal; Todd B Parrish; Zachary A Smith
Journal:  Spine (Phila Pa 1976)       Date:  2018-10-15       Impact factor: 3.241

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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