Literature DB >> 28711563

Application of neurite orientation dispersion and density imaging or diffusion tensor imaging to quantify the severity of cervical spondylotic myelopathy and to assess postoperative neurologic recovery.

Genki Okita1, Tetsuro Ohba2, Tomohiro Takamura3, Shigeto Ebata1, Ryo Ueda4, Hiroshi Onishi3, Hirotaka Haro1, Masaaki Hori5.   

Abstract

BACKGROUND CONTEXT: Surgical outcome and the severity of cervical spondylotic myelopathy (CSM) are unpredictable and cannot be estimated by conventional anatomical magnetic resonance imaging (MRI). The utility of diffusion tensor imaging (DTI) to quantify the severity of CSM and to assess postoperative neurologic recovery has been investigated. However, whether conventional DTI should be applied in a clinical setting remains controversial. Neurite orientation dispersion and density imaging (NODDI) is a recently introduced model-based diffusion-weighted MRI technique that quantifies specific microstructural features related directly to neuronal morphology. However, there are as yet few clinical applications of NODDI reported. Indeed, there are no reports to indicate NODDI is useful for diagnosing CSM. STUDY
DESIGN: This is a retrospective cohort study using consecutive patients.
PURPOSE: The objective of this study was to evaluate the utility of NODDI and conventional DTI for detecting changes in the spinal cord microstructure. In particular, this study aimed to quantify the preoperative severity of CSM and to assess postoperative neurologic recovery from this myelopathy. PATIENT SAMPLE: We included 27 consecutive patients with a nontraumatic cervical lesion from CSM who underwent laminoplasty at a single institution between April 2012 and April 2015. The patients underwent MRI before and approximately 2 weeks after surgery. OUTCOME MEASURES: In addition to conventional DTI metrics, we evaluated the intracellular volume fraction (ICVF) and the orientation dispersion index (ODI), which are metrics derived from NODDI. The 10-second grip and release test and the Japanese Orthopaedic Association scoring system were used before and 1 year after surgery to assess neurologic outcome.
MATERIALS AND METHODS: Neurite orientation dispersion and density imaging and conventional DTI values were measured at the C2-C3 intervertebral level (control value) and at the most compressed levels (C3-C7 intervertebral levels) were measured. The changes in these values pre- and postoperative were demonstrated. Correlations between NODDI and conventional DTI values and clinical outcome were determined.
RESULTS: Preoperative fractional anisotropy was significantly correlated with the severity of neural damage, but not with postoperative neurologic recovery. No significant correlation could be found between the preoperative ICVF, the ODI, the apparent diffusion coefficient, and the severity of the preoperative neurologic dysfunction. Preoperative ICVF was most strongly correlated with the severity of neurologic dysfunction and postoperative neurologic recovery.
CONCLUSIONS: Conventional DTI may be applied clinically to assess the severity of myelopathy. Neurite orientation dispersion and density imaging may be more valuable than conventional DTI to predict outcome following surgery in patients with CSM.
Copyright © 2017 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Apparent diffusion coefficient; Cervical spondylotic myelopathy; Diffusion tensor imaging; Fractional anisotropy; Intracellular volume fraction; Neurite orientation dispersion and density imaging; Neurologic recovery; Orientation dispersion index; Severity of neural damage

Mesh:

Year:  2017        PMID: 28711563     DOI: 10.1016/j.spinee.2017.07.007

Source DB:  PubMed          Journal:  Spine J        ISSN: 1529-9430            Impact factor:   4.166


  8 in total

Review 1.  Quantitative MR Markers in Non-Myelopathic Spinal Cord Compression: A Narrative Review.

Authors:  Jan Valošek; Petr Bednařík; Miloš Keřkovský; Petr Hluštík; Josef Bednařík; Alena Svatkova
Journal:  J Clin Med       Date:  2022-04-20       Impact factor: 4.964

2.  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

3.  Design and validation of diffusion MRI models of white matter.

Authors:  Ileana O Jelescu; Matthew D Budde
Journal:  Front Phys       Date:  2017-11-28

4.  Neurite orientation dispersion and density imaging can detect presymptomatic axonal degeneration in the spinal cord of ALS mice.

Authors:  R G Gatto; S M Mustafi; M Y Amin; T H Mareci; Yu-Chien Wu; R L Magin
Journal:  Funct Neurol       Date:  2018 Jul/Sept

5.  Risk Factors and Assessment Using an Endoscopic Scoring System for Postoperative Respiratory Complications after Anterior Cervical Decompression and Fusion Surgery.

Authors:  Tetsuro Ohba; Hiroshi Akaike; Koji Fujita; Kotaro Oda; Nobuki Tanaka; Matsuoka Tomokazu; Daiju Sakurai; Hirotaka Haro
Journal:  Spine Surg Relat Res       Date:  2020-08-31

6.  Imaging and Electrophysiology for Degenerative Cervical Myelopathy [AO Spine RECODE-DCM Research Priority Number 9].

Authors:  Allan R Martin; Lindsay Tetreault; Aria Nouri; Armin Curt; Patrick Freund; Vafa Rahimi-Movaghar; Jefferson R Wilson; Michael G Fehlings; Brian K Kwon; James S Harrop; Benjamin M Davies; Mark R N Kotter; James D Guest; Bizhan Aarabi; Shekar N Kurpad
Journal:  Global Spine J       Date:  2021-11-19

Review 7.  Traumatic and nontraumatic spinal cord injury: pathological insights from neuroimaging.

Authors:  Gergely David; Siawoosh Mohammadi; Allan R Martin; Julien Cohen-Adad; Nikolaus Weiskopf; Alan Thompson; Patrick Freund
Journal:  Nat Rev Neurol       Date:  2019-10-31       Impact factor: 42.937

8.  Application of Quantitative Microstructural MR Imaging with Atlas-based Analysis for the Spinal Cord in Cervical Spondylotic Myelopathy.

Authors:  Masaaki Hori; Akifumi Hagiwara; Issei Fukunaga; Ryo Ueda; Kouhei Kamiya; Yuichi Suzuki; Wei Liu; Katsutoshi Murata; Tomohiro Takamura; Nozomi Hamasaki; Ryusuke Irie; Koji Kamagata; Kanako Kunishima Kumamaru; Michimasa Suzuki; Shigeki Aoki
Journal:  Sci Rep       Date:  2018-03-26       Impact factor: 4.379

  8 in total

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