Literature DB >> 33664296

Specific microstructural changes of the cervical spinal cord in syringomyelia estimated by diffusion tensor imaging.

Weifei Wu1, Xiangxiang Li2, Zong Yang1, Neng Ru1, Fan Zhang1, Jie Liang1, Ke Zhang3.   

Abstract

The microstructure of the spinal cord in syringomyelia has not been well studied. The aim of this study was to evaluate the microstructure of the cervical cord in patients with syringomyelia using diffusion tensor imaging (DTI) and to investigate the association between DTI parameters and the size of the syrinx cavity. Thirty patients with syringomyelia and 11 age-matched controls were included in this study. DTI and T1/T2-weighted MRI were used to estimate spinal microstructure. The patients were divided into a clinical symptom group (group A) and a non-clinical symptom group (group B) according to ASIA assessments. The fractional anisotropy (FA) and apparent diffusion coefficient (ADC) values (mm2/s) were measured and compared between patients and controls. Correlation between FA/ADC and the size of the syrinx cavity was examined with a bivariate analysis. FA values were lower (P < 0.000) and ADC values were higher (P < 0.000) compared to the controls at the level of all syrinxes examined in patients with syringomyelia; both FA values and ADC values reached normal values either above or below the syrinx levels (all P > 0.05). FA values and ADC values at all cervical levels were not significantly different either in controls or outside of the syrinx (all P > 0.05). FA values of group A was significantly lower than those of group B (P < 0.000). There was a negative association between FA values and the size of syrinx cavity, and a positive association between ADC values and the size of syrinx cavity (FA: P < 0.05, ADC: P < 0.05). The microstructure of the cervical spinal cord is different across all patients with syringomyelia. DTI is a promising tool for estimating quantitative pathological characteristics that are not visible with general MRI.

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Year:  2021        PMID: 33664296      PMCID: PMC7933234          DOI: 10.1038/s41598-021-84164-2

Source DB:  PubMed          Journal:  Sci Rep        ISSN: 2045-2322            Impact factor:   4.379


  20 in total

1.  Diffusion tensor imaging of microstructural alterations in the trigeminal nerve due to neurovascular contact/compression.

Authors:  Weimin Chai; Chao You; Weifeng Zhang; Wen Peng; Ling Tan; Yongjing Guan; Kemin Chen
Journal:  Acta Neurochir (Wien)       Date:  2019-05-08       Impact factor: 2.216

2.  White matter integrity, fiber count, and other fallacies: the do's and don'ts of diffusion MRI.

Authors:  Derek K Jones; Thomas R Knösche; Robert Turner
Journal:  Neuroimage       Date:  2012-07-23       Impact factor: 6.556

3.  The International Standards for Neurological Classification of Spinal Cord Injury: reliability of data when applied to children and youths.

Authors:  M J Mulcahey; J Gaughan; R R Betz; K J Johansen
Journal:  Spinal Cord       Date:  2006-10-03       Impact factor: 2.772

4.  Diffusion Tensor Imaging of the Normal Cervical and Thoracic Pediatric Spinal Cord.

Authors:  S Saksena; D M Middleton; L Krisa; P Shah; S H Faro; R Sinko; J Gaughan; J Finsterbusch; M J Mulcahey; F B Mohamed
Journal:  AJNR Am J Neuroradiol       Date:  2016-07-14       Impact factor: 3.825

5.  Diffusion Tensor Imaging (DTI).

Authors:  Silvia Lope-Piedrafita
Journal:  Methods Mol Biol       Date:  2018

6.  Clinical, functional and structural determinants of central pain in syringomyelia.

Authors:  Samar M Hatem; Nadine Attal; Denis Ducreux; Michèle Gautron; Fabrice Parker; Leon Plaghki; Didier Bouhassira
Journal:  Brain       Date:  2010-09-17       Impact factor: 13.501

7.  Factors associated with syrinx size in pediatric patients treated for Chiari malformation type I and syringomyelia: a study from the Park-Reeves Syringomyelia Research Consortium.

Authors:  Andrew T Hale; P David Adelson; Gregory W Albert; Philipp R Aldana; Tord D Alden; Richard C E Anderson; David F Bauer; Christopher M Bonfield; Douglas L Brockmeyer; Joshua J Chern; Daniel E Couture; David J Daniels; Susan R Durham; Richard G Ellenbogen; Ramin Eskandari; Timothy M George; Gerald A Grant; Patrick C Graupman; Stephanie Greene; Jeffrey P Greenfield; Naina L Gross; Daniel J Guillaume; Gregory G Heuer; Mark Iantosca; Bermans J Iskandar; Eric M Jackson; James M Johnston; Robert F Keating; Jeffrey R Leonard; Cormac O Maher; Francesco T Mangano; J Gordon McComb; Thanda Meehan; Arnold H Menezes; Brent O'Neill; Greg Olavarria; Tae Sung Park; John Ragheb; Nathan R Selden; Manish N Shah; Matthew D Smyth; Scellig S D Stone; Jennifer M Strahle; Scott D Wait; John C Wellons; William E Whitehead; Chevis N Shannon; David D Limbrick
Journal:  J Neurosurg Pediatr       Date:  2020-03-06       Impact factor: 2.375

8.  Comprehensive analysis of neurobehavior associated with histomorphological alterations in a chronic constrictive nerve injury model through use of the CatWalk XT system.

Authors:  Chien-Yi Chiang; Meei-Ling Sheu; Fu-Chou Cheng; Chun-Jung Chen; Hong-Lin Su; Jason Sheehan; Hung-Chuan Pan
Journal:  J Neurosurg       Date:  2013-11-01       Impact factor: 5.115

Review 9.  The Utility of Diffusion Tensor Imaging in Neuromodulation: Moving Beyond Conventional Magnetic Resonance Imaging.

Authors:  Sarasa Tohyama; Matthew R Walker; Francesco Sammartino; Vibhor Krishna; Mojgan Hodaie
Journal:  Neuromodulation       Date:  2020-02-11

10.  Diffusion Tensor Imaging in Diagnosis of Post-Traumatic Syringomyelia in Spinal Cord Injury in Rats.

Authors:  Chao Zhang; Kai Chen; Xiuxin Han; Jiayuanyuan Fu; Patricia Douglas; Anna Y Morozova; Maxim A Abakumov; Ilya L Gubsky; Dejin Li; Jin Guo; Xuening Zhang; Guowen Wang; Vladimir P Chekhonin
Journal:  Med Sci Monit       Date:  2018-01-09
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  1 in total

1.  Changes and clinical correlation of diffusion tensor imaging parameters of compressed spinal cord and nerve root in patients with cervical spondylosis.

Authors:  Shuo Liang; Feng Yang; Yang Zhang; Huiyu Zhao; Xinyue Wang
Journal:  BMC Med Imaging       Date:  2022-06-03       Impact factor: 2.795

  1 in total

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