Literature DB >> 31057044

Application of Diffusion Tensor Imaging in Forecasting Neurological Injury and Recovery after Human Cervical Spinal Cord Injury.

Michael M Poplawski1, Mahdi Alizadeh2, Christina V Oleson3, Joshua Fisher4, Ralph J Marino5, Richard J Gorniak1, Benjamin E Leiby6, Adam E Flanders1.   

Abstract

The aim of this study is to determine the strength and accuracy of diffusion tensor imaging (DTI) parameters to predict neurological injury and recovery in adult cervical spinal cord injury (SCI). DTI magnetic resonance imaging (MRI) was performed on 23 acute cervical SCI patients within 12 h after injury and on 45 controls utilizing a rapid DTI sequence (∼5 min). Neurological assessments were conducted from within 24 h of injury up to 6 months utilizing detailed International Standards for Neurological Classification of Spinal Cord Injury (ISNCSCI) examinations. Spearman correlation and receiver operating characteristic (ROC) analysis were used to identify relationships between the DTI parameters at the lesion epicenter and adjacent regions, with injury severity and recovery. In proximity to the anatomical injury (within one level above and below epicenter), there was significant reduction in fractional anisotropy (FA), and elevation in mean diffusivity (MD) and radial diffusivity (RD). DTI values measured one level rostral to the injury epicenter showed stronger correlations with multiple clinical features at several time-points. Area under the curve (AUC) obtained from ROC analysis showed FA (AUC = 0.77) measured at lesion epicenter, and FA (0.83), MD (0.76), and RD (0.83) values measured immediately rostral (one level above) to epicenter discriminate injury severity. Further, MD (0.78) measured at lesion epicenter, and MD (0.79) and RD (0.74) values measured immediately rostral to epicenter discriminate neurological recovery. DTI indices measured immediately rostral to the anatomical level of injury consistently showed better correlation (moderate to strong) and accuracy in predicting neurological injury (FA, r = -0.51 and RD, r = 0.54) and recovery (MD, r = -0.51) than indices measured at the epicenter. There was weak to moderate correlation of all measures at lesion epicenter in predicting neurological injury (FA: r = -0.48; MD: r = 0.23; RD: r = 0.34; axial diffusivity [AD]: r = 0.02) and recovery (FA: r = 0.27; MD: r = -0.44; RD: r = -0.35; AD: r = -0.34).

Entities:  

Keywords:  American Spinal Injury Association (ASIA); diffusion tensor imaging; motor index score (MIS); neurological injury; neurological recovery; spinal cord injury

Mesh:

Year:  2019        PMID: 31057044     DOI: 10.1089/neu.2018.6092

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


  5 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.  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

4.  Evolution of Magnetic Resonance Imaging as Predictors and Correlates of Functional Outcome after Spinal Cord Contusion Injury in the Rat.

Authors:  Natasha Wilkins; Nathan P Skinner; Alice Motovylyak; Brian D Schmit; Shekar Kurpad; Matthew D Budde
Journal:  J Neurotrauma       Date:  2020-02-05       Impact factor: 5.269

5.  The Evaluation and Prediction of Laminoplasty Surgery Outcome in Patients with Degenerative Cervical Myelopathy Using Diffusion Tensor MRI.

Authors:  X Han; X Ma; D Li; J Wang; W Jiang; X Cheng; G Li; H Guo; W Tian
Journal:  AJNR Am J Neuroradiol       Date:  2020-08-13       Impact factor: 3.825

  5 in total

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