Literature DB >> 30635758

Diffusion tensor imaging of the sciatic nerve in Charcot-Marie-Tooth disease type I patients: a prospective case-control study.

Hyun Su Kim1, Young Cheol Yoon2,3, Byung-Ok Choi4, Wook Jin5, Jang Gyu Cha6, Jae-Hun Kim1.   

Abstract

OBJECTIVES: This study aimed to evaluate whether diffusion tensor imaging (DTI) parameters and cross-sectional area (CSA) can differentiate between the sciatic nerve of Charcot-Marie-Tooth (CMT) disease type I (demyelinating form) patients and that of controls.
METHODS: This prospective comparison study included 18 CMT type I patients and 18 age/sex-matched volunteers. Magnetic resonance imaging including DTI and axial T2-weighted Dixon sequence was performed for each subject. Region of interest analysis was independently performed by two radiologists on each side of the sciatic nerve at four levels: hamstring tendon origin (level 1), lesser trochanter of the femur (level 2), gluteus maximus tendon insertion (level 3), and mid-femur (level 4). Fractional anisotropy (FA), mean diffusivity (MD), axial diffusivity (AD), and radial diffusivity (RD) were calculated. The CSA of the sciatic nerve bundle was measured using axial water-only image at each level. Comparisons of DTI parameters between the two groups were performed using the two-sample t test and Mann-Whitney U test. Interobserver agreement analysis was also conducted.
RESULTS: Interobserver agreement was excellent for all DTI parameter analyses. FA was significantly lower at all four levels in CMT patients than controls. RD, MD, and CSA were significantly higher at all four levels in CMT patients. AD was significantly higher at level 2 in CMT patients.
CONCLUSION: DTI assessment of the sciatic nerve is reproducible and can discriminate the demyelinating nerve pathology of CMT type I patients from normal nerves. The CSA of the sciatic nerve is also a potential parameter for diagnosing nerve abnormality in CMT type I patients. KEY POINTS: • Diffusion tensor imaging parameters of the sciatic nerve at proximal to mid-femur level revealed significant differences between the Charcot-Marie-Tooth disease patients and controls. • The cross-sectional area of the sciatic nerve was significantly larger in the Charcot-Marie-Tooth disease patients. • Interobserver agreement was excellent (intraclass coefficient > 0.8) for all diffusion tensor imaging parameter analyses.

Entities:  

Keywords:  Diffusion tensor imaging; Magnetic resonance imaging; Neuromuscular disease; Sciatic nerve

Mesh:

Year:  2019        PMID: 30635758     DOI: 10.1007/s00330-018-5958-1

Source DB:  PubMed          Journal:  Eur Radiol        ISSN: 0938-7994            Impact factor:   5.315


  43 in total

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2.  Minimal gradient encoding for robust estimation of diffusion anisotropy.

Authors:  N G Papadakis; C D Murrills; L D Hall; C L Huang; T Adrian Carpenter
Journal:  Magn Reson Imaging       Date:  2000-07       Impact factor: 2.546

3.  Image reconstruction in SNR units: a general method for SNR measurement.

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Review 4.  Advances in white matter imaging: a review of in vivo magnetic resonance methodologies and their applicability to the study of development and aging.

Authors:  Jeffrey R Wozniak; Kelvin O Lim
Journal:  Neurosci Biobehav Rev       Date:  2006-08-07       Impact factor: 8.989

5.  Dysmyelination revealed through MRI as increased radial (but unchanged axial) diffusion of water.

Authors:  Sheng-Kwei Song; Shu-Wei Sun; Michael J Ramsbottom; Chen Chang; John Russell; Anne H Cross
Journal:  Neuroimage       Date:  2002-11       Impact factor: 6.556

6.  Sonography of the median nerve in Charcot-Marie-Tooth disease.

Authors:  Carlo Martinoli; Angelo Schenone; Stefano Bianchi; Paola Mandich; Claudia Caponetto; Michele Abbruzzese; Lorenzo E Derchi
Journal:  AJR Am J Roentgenol       Date:  2002-06       Impact factor: 3.959

7.  Demyelination increases radial diffusivity in corpus callosum of mouse brain.

Authors:  Sheng-Kwei Song; Jun Yoshino; Tuan Q Le; Shiow-Jiuan Lin; Shu-Wei Sun; Anne H Cross; Regina C Armstrong
Journal:  Neuroimage       Date:  2005-05-15       Impact factor: 6.556

8.  Diffusion tensor imaging demonstrates brainstem and cerebellar abnormalities in congenital central hypoventilation syndrome.

Authors:  Rajesh Kumar; Paul M Macey; Mary A Woo; Jeffry R Alger; Ronald M Harper
Journal:  Pediatr Res       Date:  2008-09       Impact factor: 3.756

9.  Diffusion tensor imaging detects and differentiates axon and myelin degeneration in mouse optic nerve after retinal ischemia.

Authors:  Sheng-Kwei Song; Shu-Wei Sun; Won-Kyu Ju; Shiow-Jiuan Lin; Anne H Cross; Arthur H Neufeld
Journal:  Neuroimage       Date:  2003-11       Impact factor: 6.556

10.  Diffusion tensor imaging predicts hyperacute spinal cord injury severity.

Authors:  David N Loy; Joong Hee Kim; Mingqiang Xie; Robert E Schmidt; Kathryn Trinkaus; Sheng-Kwei Song
Journal:  J Neurotrauma       Date:  2007-06       Impact factor: 5.269

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3.  Intraepineurial fat quantification and cross-sectional area analysis of the sciatic nerve using MRI in Charcot-Marie-Tooth disease type 1A patients.

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