Literature DB >> 29300252

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

Xiaodong Ma1, Xiao Han2, Wen Jiang3, Jinchao Wang2, Zhe Zhang1, Guangqi Li1, Jieying Zhang1, Xiaoguang Cheng3, Huijun Chen1, Hua Guo1, Wei Tian2.   

Abstract

STUDY
DESIGN: A retrospective cohort study.
OBJECTIVE: The aim of this study was to investigate the relationship between spinal cord microstructures and spinal cord dysfunction in degenerative cervical myelopathy (DCM) patients; a follow-up study was carried out using diffusion tensor imaging (DTI) and neurite orientation dispersion and density imaging (NODDI), an advanced diffusion model. SUMMARY OF BACKGROUND DATA: DTI has been used for diagnosis of DCM. Although DTI has advantages of high sensitivity and quantitative features, it is limited by its low specificity for measuring microstructures.
METHODS: Fifty-eight postoperative DCM patients with 12 to 14 months of surgical recovery were recruited, as well as 14 healthy volunteers for control group. All DTI and NODDI metrics were measured at the most stenotic levels of patients and at all levels of control group. A t test was used to compare the metrics between patient and control groups, and Spearman correlation was used to test the relationship between the metrics and clinical assessment, modified Japanese Orthopedic Association (mJOA) scores.
RESULTS: t test showed that DTI metrics, neurite density Vic, and free water fraction Viso had significant differences between control group and the most stenotic levels in patients. For DTI metrics, fractional anisotropy (FA), radial diffusivity (RD), and mean diffusivity (MD) in patients were significantly correlated with mJOA. For NODDI metrics, only Vic is positively correlated with mJOA.
CONCLUSION: The results of t test and correlation with mJOA suggest that DTI and NODDI are valuable for evaluating spinal cord function. Results of NODDI indicate that the reason for FA reduction in DCM may be decreased neurite density, not increased orientation dispersion. LEVEL OF EVIDENCE: 3.

Entities:  

Mesh:

Year:  2018        PMID: 29300252     DOI: 10.1097/BRS.0000000000002541

Source DB:  PubMed          Journal:  Spine (Phila Pa 1976)        ISSN: 0362-2436            Impact factor:   3.468


  3 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.  Comparison of region-of-interest delineation methods for diffusion tensor imaging in patients with cervical spondylotic radiculopathy.

Authors:  Penghuan Wu; Chengyan Huang; Benchao Shi; Anmin Jin
Journal:  BMC Musculoskelet Disord       Date:  2022-07-15       Impact factor: 2.562

3.  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 in total

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