Literature DB >> 28385062

Diffusion Tensor Imaging Parameter Obtained during Acute Blunt Cervical Spinal Cord Injury in Predicting Long-Term Outcome.

Kathirkamanathan Shanmuganathan1, Jaichen Zhuo1, Hegang H Chen2, Bizhan Aarabi3, Jason Adams4, Catriona Miller5, Jay Menakar6, Rao P Gullapalli1, Stuart E Mirvis1.   

Abstract

There are no reliable neuroimaging biomarkers to predict long-term outcome after spinal cord injury. This prospective longitudinal study evaluates diffusion tensor imaging (DTI) in predicting long-term outcome after cervical spinal cord injury (CSCI). We investigate the admission DTI parameters measured in 30 patients with CSCI, with 16 of them followed up to one year, and 15 volunteers serving as controls. All magnetic resonance imaging examinations were performed within 24 h of injury. The DTI parameters were measured in patients and controls, avoiding areas of hemorrhage in patients and at corresponding upper/middle/lower regions of the spinal cord in controls. Stepwise regression analysis was performed to find relevant parameters (normalized DTI values, age, sex, hemorrhagic contusion [HC or non-HC]) that correlated with two primary outcome measures: patient International Standards for Neurological Classification of Spinal Cord Injury (ISNCSCI) motor and Spinal Cord Independence Measure (SCIM III) scores at one year. Among all DTI measures, axial diffusivity (AD) most strongly correlated with both motor (r2 = 0.76, p < 0.01) and SCIM III scores (r2 = 0.77, p < 0.01) at one year. Further stepwise regression indicated that including AD (p = 0.0001) and presence of HC (p < 0.0001) in the regression model provided the best model fit for one year ISNCSCI (r2 = 0.93). The AD is a more specific parameter for axonal injury than radial diffusivity; this may indicate that axonal injury in the cord is the main factor affecting patient recovery. Our study demonstrates DTI measurement at the CSCI is a potential neuroimaging biomarker in predicting long-term neurological and functional outcome in blunt CSCI.

Entities:  

Keywords:  cervical spine; diffusion tensor imaging; magnetic resonance; traumatic spinal cord injury

Mesh:

Year:  2017        PMID: 28385062     DOI: 10.1089/neu.2016.4901

Source DB:  PubMed          Journal:  J Neurotrauma        ISSN: 0897-7151            Impact factor:   5.269


  14 in total

1.  Clinical Utility of Diffusion Tensor Imaging as a Biomarker to Identify Microstructural Changes in Pediatric Spinal Cord Injury.

Authors:  Laura Krisa; Devon M Middleton; Sona Saksena; Scott H Faro; Benjamin E Leiby; Feroze B Mohamed; M J Mulcahey
Journal:  Top Spinal Cord Inj Rehabil       Date:  2022-04-12

Review 2.  Role of diffusion tensor imaging and tractography in spinal cord injury.

Authors:  Geetanjali Nanda; Pooja Jain; Abhishek Suman; Harsh Mahajan
Journal:  J Clin Orthop Trauma       Date:  2022-08-31

3.  Multispectral diffusion-weighted MRI of the instrumented cervical spinal cord: a preliminary study of 5 cases.

Authors:  Kevin M Koch; Sampada Bhave; S Sivaram Kaushik; Andrew S Nencka; Matthew D Budde
Journal:  Eur Spine J       Date:  2019-12-12       Impact factor: 3.134

4.  Segmented quantitative diffusion tensor imaging evaluation of acute traumatic cervical spinal cord injury.

Authors:  Mahmud Mossa-Basha; Daniel J Peterson; Daniel S Hippe; Justin E Vranic; Christoph Hofstetter; Maria Reyes; Charles Bombardier; Jeffrey G Jarvik
Journal:  Br J Radiol       Date:  2020-11-18       Impact factor: 3.039

5.  Diffusion-prepared fast spin echo for artifact-free spinal cord imaging.

Authors:  Seung-Yi Lee; Briana P Meyer; Shekar N Kurpad; Matthew D Budde
Journal:  Magn Reson Med       Date:  2021-03-15       Impact factor: 3.737

6.  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

7.  Optimizing Filter-Probe Diffusion Weighting in the Rat Spinal Cord for Human Translation.

Authors:  Matthew D Budde; Nathan P Skinner; L Tugan Muftuler; Brian D Schmit; Shekar N Kurpad
Journal:  Front Neurosci       Date:  2017-12-19       Impact factor: 5.152

8.  Clinical Uses of Diffusion Tensor Imaging Fiber Tracking Merged Neuronavigation with Lesions Adjacent to Corticospinal Tract : A Retrospective Cohort Study.

Authors:  Qi Yu; Kun Lin; Yunhui Liu; Xinxing Li
Journal:  J Korean Neurosurg Soc       Date:  2019-07-15

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

Review 10.  Improving Diagnostic Workup Following Traumatic Spinal Cord Injury: Advances in Biomarkers.

Authors:  Simon Schading; Tim M Emmenegger; Patrick Freund
Journal:  Curr Neurol Neurosci Rep       Date:  2021-07-16       Impact factor: 5.081

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.