Literature DB >> 34671848

Diffusional kurtosis imaging as a possible prognostic marker of cervical incomplete spinal cord injury outcome: a prospective pilot study.

Mathias Møller Thygesen1,2, Torben Ellegaard Lund3, Irene Klærke Mikkelsen4, Helge Kasch5, Rikke Beese Dalby6, Stig Eric Dyrskog7, Michael Pedersen8, Mikkel Mylius Rasmussen4.   

Abstract

BACKGROUND: Spinal cord injury (SCI) is associated with substantial chronic morbidity and mortality. Routine imaging techniques such as T1- and T2-weighted magnetic resonance imaging (MRI) are not effective in predicting neurological deficiency grade or outcome. Diffusional kurtosis imaging (DKI) is an MR imaging technique that provides microstructural information about biological tissue. There are no longitudinal prospective studies assessing DKI metrics in acute traumatic SCI. Therefore, the purpose of this study was to establish a DKI protocol for acute SCI and correlate the DKI metrics to the functional neurological outcome of the patients.
METHODS: Eight consecutive SCI patients referred to our institution with cervical SCI were included in the study. An acute diagnostic MRI scan was supplemented with a novel fast, mean kurtosis DKI protocol, which describes the average deviation from Gaussian diffusional along nine different directions. Mean kurtosis values were measured at the injury site and normalized to the mean kurtosis values of a non-injured site. At discharge form specialized rehabilitation, patients were evaluated using the Spinal Cord Independence Measure-III (SCIM-III). The DKI metrics and SCIM-III were analysed using Spearman's rank correlation.
RESULTS: This pilot study found a significant correlation between decreasing mean kurtosis values at the injury site of the spinal cord and higher grade of disability measured by the SCIM-III (p = 0.002).
CONCLUSION: This pilot study found that DKI may be a valuable tool as a prognostic marker in the acute phase of SCI.
© 2021. The Author(s), under exclusive licence to Springer-Verlag GmbH Austria, part of Springer Nature.

Entities:  

Keywords:  Diffusional kurtosis imaging; Magnetic resonance imaging; Predictive; Prognostic; SCIM-III; Spinal cord injury

Mesh:

Year:  2021        PMID: 34671848     DOI: 10.1007/s00701-021-05018-4

Source DB:  PubMed          Journal:  Acta Neurochir (Wien)        ISSN: 0001-6268            Impact factor:   2.216


  39 in total

1.  Thalamus and cognitive impairment in mild traumatic brain injury: a diffusional kurtosis imaging study.

Authors:  Elan J Grossman; Yulin Ge; Jens H Jensen; James S Babb; Laura Miles; Joseph Reaume; Jonathan M Silver; Robert I Grossman; Matilde Inglese
Journal:  J Neurotrauma       Date:  2011-09-15       Impact factor: 5.269

2.  How to correct susceptibility distortions in spin-echo echo-planar images: application to diffusion tensor imaging.

Authors:  Jesper L R Andersson; Stefan Skare; John Ashburner
Journal:  Neuroimage       Date:  2003-10       Impact factor: 6.556

Review 3.  A Review of Clinical Trials in Spinal Cord Injury Including Biomarkers.

Authors:  Jetan H Badhiwala; Jefferson R Wilson; Brian K Kwon; Steven Casha; Michael G Fehlings
Journal:  J Neurotrauma       Date:  2018-08-15       Impact factor: 5.269

4.  Experimentally and computationally fast method for estimation of a mean kurtosis.

Authors:  Brian Hansen; Torben E Lund; Ryan Sangill; Sune Nørhøj Jespersen
Journal:  Magn Reson Med       Date:  2013-04-15       Impact factor: 4.668

Review 5.  Acute complications of spinal cord injuries.

Authors:  Ellen Merete Hagen
Journal:  World J Orthop       Date:  2015-01-18

6.  Demyelination and degeneration in the injured human spinal cord detected with diffusion and magnetization transfer MRI.

Authors:  J Cohen-Adad; M-M El Mendili; S Lehéricy; P-F Pradat; S Blancho; S Rossignol; H Benali
Journal:  Neuroimage       Date:  2011-01-11       Impact factor: 6.556

7.  Predicting Injury Severity and Neurological Recovery after Acute Cervical Spinal Cord Injury: A Comparison of Cerebrospinal Fluid and Magnetic Resonance Imaging Biomarkers.

Authors:  Turker Dalkilic; Nader Fallah; Vanessa K Noonan; Sanam Salimi Elizei; Kevin Dong; Lise Belanger; Leanna Ritchie; Angela Tsang; Etienne Bourassa-Moreau; Manraj K S Heran; Scott J Paquette; Tamir Ailon; Nicolas Dea; John Street; Charles G Fisher; Marcel F Dvorak; Brian K Kwon
Journal:  J Neurotrauma       Date:  2017-11-06       Impact factor: 5.269

8.  Experimental considerations for fast kurtosis imaging.

Authors:  Brian Hansen; Torben E Lund; Ryan Sangill; Ebbe Stubbe; Jürgen Finsterbusch; Sune Nørhøj Jespersen
Journal:  Magn Reson Med       Date:  2015-11-26       Impact factor: 4.668

9.  Age-related non-Gaussian diffusion patterns in the prefrontal brain.

Authors:  Maria F Falangola; Jens H Jensen; James S Babb; Caixia Hu; Francisco X Castellanos; Adriana Di Martino; Steven H Ferris; Joseph A Helpern
Journal:  J Magn Reson Imaging       Date:  2008-12       Impact factor: 4.813

10.  An integrated approach to correction for off-resonance effects and subject movement in diffusion MR imaging.

Authors:  Jesper L R Andersson; Stamatios N Sotiropoulos
Journal:  Neuroimage       Date:  2015-10-20       Impact factor: 6.556

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