Literature DB >> 25150714

Quantitative assessment of column-specific degeneration in cervical spondylotic myelopathy based on diffusion tensor tractography.

Jiao-Long Cui1, Xiang Li, Tin-Yan Chan, Kin-Cheung Mak, Keith Dip-Kei Luk, Yong Hu.   

Abstract

PURPOSE: Cervical spondylotic myelopathy (CSM) is a common spinal cord disorder in the elderly. Diffusion tensor imaging (DTI) has been shown to be of great value for evaluating the microstructure of nerve tracts in the spinal cord. Currently, the quantitative assessment of the degeneration on the specific tracts in CSM is still rare. The aim of the present study was to use tractography-based quantification to investigate the column-specific degeneration in CSM.
METHODS: A total of 43 volunteers were recruited with written informed consent, including 20 healthy subjects and 23 CSM patients. Diffusion MRI was taken by 3T MRI scanner. Fiber tractography was performed using TrackVis to reconstruct the white matter tracts of the anterior, lateral and posterior column on the bilateral sides. The DTI metrics acquired from tractography, including fractional anisotropy (FA), mean diffusivity (MD), axial diffusivity (AD) and radial diffusivity (RD), were compared between healthy subjects and CSM patients.
RESULTS: Compared to healthy subjects, FA was found significantly lower in the lateral (Healthy 0.64 ± 0.07 vs. CSM 0.53 ± 0.08) and posterior column (Healthy 0.67 ± 0.08 vs. CSM 0.47 ± 0.08) (p < 0.001), while MD, AD and RD were significantly higher in the anterior, lateral and posterior column in CSM (p < 0.05).
CONCLUSION: Loss of microstructural integrity was detected in the lateral and posterior column in CSM. Tractography-based quantification was capable of evaluating the subtle pathological insult within white matter on a column-specific basis, which exhibited potential clinical value for in vivo evaluation of the severity of CSM.

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Year:  2014        PMID: 25150714     DOI: 10.1007/s00586-014-3522-5

Source DB:  PubMed          Journal:  Eur Spine J        ISSN: 0940-6719            Impact factor:   3.134


  23 in total

1.  3 T magnetic resonance diffusion tensor imaging and fibre tracking in cervical myelopathy.

Authors:  M Xiangshui; C Xiangjun; Z Xiaoming; Z Qingshi; C Yi; Q Chuanqiang; M Xiangxing; L Chuanfu; H Jinwen
Journal:  Clin Radiol       Date:  2010-04-18       Impact factor: 2.350

2.  White matter organization in cervical spinal cord relates differently to age and control of grip force in healthy subjects.

Authors:  Påvel G Lindberg; Antoine Feydy; Marc A Maier
Journal:  J Neurosci       Date:  2010-03-17       Impact factor: 6.167

3.  Diffusion tensor imaging in the cervical spinal cord.

Authors:  Ting Song; Wen-Jun Chen; Bo Yang; Hong-Pu Zhao; Jian-Wei Huang; Ming-Jin Cai; Tian-Fa Dong; Tang-Sheng Li
Journal:  Eur Spine J       Date:  2010-10-13       Impact factor: 3.134

4.  Diffusion tensor imaging and fiber tractography in cervical compressive myelopathy: preliminary results.

Authors:  Joon Woo Lee; Jae Hyoung Kim; Jong Bin Park; Kun Woo Park; Jin S Yeom; Guen Young Lee; Heung Sik Kang
Journal:  Skeletal Radiol       Date:  2011-04-15       Impact factor: 2.199

5.  Diffusion tensor imaging correlates with the clinical assessment of disease severity in cervical spondylotic myelopathy and predicts outcome following surgery.

Authors:  J G A Jones; S Y Cen; R M Lebel; P C Hsieh; M Law
Journal:  AJNR Am J Neuroradiol       Date:  2012-07-19       Impact factor: 3.825

6.  Interobserver and intraobserver reliability of the japanese orthopaedic association scoring system for evaluation of cervical compression myelopathy.

Authors:  K Yonenobu; K Abumi; K Nagata; E Taketomi; K Ueyama
Journal:  Spine (Phila Pa 1976)       Date:  2001-09-01       Impact factor: 3.468

Review 7.  The current state-of-the-art of spinal cord imaging: methods.

Authors:  P W Stroman; C Wheeler-Kingshott; M Bacon; J M Schwab; R Bosma; J Brooks; D Cadotte; T Carlstedt; O Ciccarelli; J Cohen-Adad; A Curt; N Evangelou; M G Fehlings; M Filippi; B J Kelley; S Kollias; A Mackay; C A Porro; S Smith; S M Strittmatter; P Summers; I Tracey
Journal:  Neuroimage       Date:  2013-05-14       Impact factor: 6.556

Review 8.  A review of the pathophysiology of cervical spondylotic myelopathy with insights for potential novel mechanisms drawn from traumatic spinal cord injury.

Authors:  M G Fehlings; G Skaf
Journal:  Spine (Phila Pa 1976)       Date:  1998-12-15       Impact factor: 3.468

9.  Myelopathy hand. New clinical signs of cervical cord damage.

Authors:  K Ono; S Ebara; T Fuji; K Yonenobu; K Fujiwara; K Yamashita
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10.  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

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  16 in total

1.  The Michel Benoist and Robert Mulholland yearly European Spine Journal review: a survey of the "medical" articles in the European Spine Journal, 2015.

Authors:  Michel Benoist
Journal:  Eur Spine J       Date:  2015-11-23       Impact factor: 3.134

2.  Spatial correspondence of spinal cord white matter tracts using diffusion tensor imaging, fibre tractography, and atlas-based segmentation.

Authors:  Stewart McLachlin; Jason Leung; Vignesh Sivan; Pierre-Olivier Quirion; Phoenix Wilkie; Julien Cohen-Adad; Cari Marisa Whyne; Michael Raymond Hardisty
Journal:  Neuroradiology       Date:  2021-01-14       Impact factor: 2.804

3.  Predictive value of flexion and extension diffusion tensor imaging in the early stage of cervical myelopathy.

Authors:  Tomasz Tykocki; Philip English; David Minks; Arunkumar Krishnakumar; Guy Wynne-Jones
Journal:  Neuroradiology       Date:  2018-09-19       Impact factor: 2.804

4.  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

5.  Quantification of DTI in the Pediatric Spinal Cord: Application to Clinical Evaluation in a Healthy Patient Population.

Authors:  B B Reynolds; S By; Q R Weinberg; A A Witt; A T Newton; H R Feiler; B Ramkorun; D B Clayton; P Couture; J E Martus; M Adams; J C Wellons; S A Smith; A Bhatia
Journal:  AJNR Am J Neuroradiol       Date:  2019-06-13       Impact factor: 3.825

Review 6.  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

7.  Assessment of acute traumatic cervical spinal cord injury using conventional magnetic resonance imaging in combination with diffusion tensor imaging-tractography: a retrospective comparative study.

Authors:  Fengzhao Zhu; Yulong Wang; Xiangchuang Kong; Yuan Liu; Lian Zeng; Xirui Jing; Sheng Yao; Kaifang Chen; Lian Yang; Xiaodong Guo
Journal:  Eur Spine J       Date:  2022-05-31       Impact factor: 2.721

Review 8.  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

Review 9.  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

10.  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

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