Literature DB >> 23608812

Diagnostic accuracy of diffusion tensor imaging for pediatric cervical spinal cord injury.

M J Mulcahey1, A F Samdani, J P Gaughan, N Barakat, S Faro, P Shah, R R Betz, F B Mohamed.   

Abstract

STUDY
DESIGN: Cross-sectional non-experimental study.
OBJECTIVES: To examine diagnostic accuracy of diffusion tensor imaging (DTI) for pediatric spinal cord injury (SCI).
SETTING: Pediatric Orthopedic Hospital.
METHODS: Thirty-five subjects, 10 SCI and 25 controls, mean age 13.38 years underwent two scans with 3.0 T MR scanner. Fractional anisotropy (FA), axial diffusivity (AD) and radial diffusivity (RD) values were calculated. Subjects with SCI underwent examination of muscle strength, sensation and sacral sparing. Mean and s.d. values for FA, AD and RD were compared by group (controls, SCI with sacral sparing, SCI without sacral sparing) using analysis of variance for repeated measures. Comparisons were also made of DTI values at the injury site to values from cervical regions outside of the injury site. Specificity, sensitivity, receiver operating characteristics area under the curve (ROC AUC) and corresponding 95% confidence intervals were calculated. Resampling methods were used to validate the estimates from the final models.
RESULTS: FA values differed among SCI subjects with intact sacral sparing, absent sacral sparing and controls, P<0.003 (adjusted). DTI values in combination showed the strongest diagnostic accuracy for predicting the presence of anal contraction (AD, RD; ROC AUC=0.90), deep anal pressure (FA; ROC AUC=0.88), S4-5 sensation (FA, RD; ROC AUC=0.93), motor level (FA, AD, RD; ROC AUC=0.92) and MRI level (FA, AD, RD; ROC AUC=0.92). Bootstrap and Jackknife median values indicated consistency of the parameter estimates.
CONCLUSION: The predictive accuracy of DTI for sacral sparing end points and motor and MRI level of injury was good to strong.

Entities:  

Mesh:

Year:  2013        PMID: 23608812     DOI: 10.1038/sc.2013.36

Source DB:  PubMed          Journal:  Spinal Cord        ISSN: 1362-4393            Impact factor:   2.772


  12 in total

1.  Inter- and intra-rater reliability of diffusion tensor imaging parameters in the normal pediatric spinal cord.

Authors:  Nadia Barakat; Pallav Shah; Scott H Faro; John P Gaughan; Devon Middleton; M J Mulcahey; Feroze B Mohamed
Journal:  World J Radiol       Date:  2015-09-28

2.  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

3.  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 4.  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

5.  Brain White Matter Abnormality Induced by Chronic Spinal Cord Injury in the Pediatric Population: A Preliminary Tract-based Spatial Statistic Study.

Authors:  Joshua Fisher; Mahdi Alizadeh; Devon Middleton; Caio M Matias; M J Mulcahey; Christina Calhoun-Thielen; Feroze B Mohamed; Laura Krisa
Journal:  Top Spinal Cord Inj Rehabil       Date:  2021-06-04

Review 6.  Spinal cord injury: how can we improve the classification and quantification of its severity and prognosis?

Authors:  Vibhor Krishna; Hampton Andrews; Abhay Varma; Jacobo Mintzer; Mark S Kindy; James Guest
Journal:  J Neurotrauma       Date:  2014-02-01       Impact factor: 5.269

7.  Identification of ghost artifact using texture analysis in pediatric spinal cord diffusion tensor images.

Authors:  Mahdi Alizadeh; Chris J Conklin; Devon M Middleton; Pallav Shah; Sona Saksena; Laura Krisa; Jürgen Finsterbusch; Scott H Faro; M J Mulcahey; Feroze B Mohamed
Journal:  Magn Reson Imaging       Date:  2017-11-15       Impact factor: 2.546

Review 8.  Pain and spinal cord imaging measures in children with demyelinating disease.

Authors:  Nadia Barakat; Mark P Gorman; Leslie Benson; Lino Becerra; David Borsook
Journal:  Neuroimage Clin       Date:  2015-09-06       Impact factor: 4.881

9.  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

10.  Reduced Field of View Diffusion Tensor Imaging and Fiber Tractography of the Pediatric Cervical and Thoracic Spinal Cord Injury.

Authors:  Mahdi Alizadeh; Joshua Fisher; Sona Saksena; Yusra Sultan; Chris J Conklin; Devon M Middleton; Jürgen Finsterbusch; Laura Krisa; Adam E Flanders; Scott H Faro; M J Mulcahey; Feroze B Mohamed
Journal:  J Neurotrauma       Date:  2017-12-18       Impact factor: 5.269

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