Literature DB >> 31830856

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

Natasha Wilkins1, Nathan P Skinner1,2, Alice Motovylyak3, Brian D Schmit3, Shekar Kurpad1, Matthew D Budde1.   

Abstract

Clinical methods for determining the severity of traumatic spinal cord injury (SCI) and long-term functional outcome in the acute setting are limited in their prognostic accuracy because of the heterogeneity of injury and dynamic injury progression. The aim of this study was to evaluate the time course and sensitivity of advanced magnetic resonance imaging (MRI) methods to neurological function after SCI in a rat contusion model. Rats received a graded contusion injury at T10 using a weight-drop apparatus. MRI consisted of morphological measures from T2-weighted imaging, quantitative T2 imaging, and diffusion-weighted imaging (DWI) at 1, 30, and 90 days post-injury (dpi). The derived metrics were compared with neurological function assessed using weekly Basso, Beattie, and Bresnahan (BBB) locomotor scoring and return of reflexive micturition function. At the acute time point (1 dpi), diffusion metrics sensitive to axonal injury at the injury epicenter had the strongest correlation with time-matched BBB scores and best predicted 90-dpi BBB scores. At 30 dpi, axonal water fraction derived from DWI and T2 values were both correlated with time-matched locomotor scores. At the chronic time point (90 dpi), cross-sectional area was most closely correlated to BBB. Overall, the results demonstrate differential sensitivity of MRI metrics at different time points after injury, but the metrics follow the expected pathology of acute axonal injury followed by continued degeneration and finally a terminal level of atrophy. Specificity of DWI in the acute setting may make it impactful as a prognostic tool while T2 imaging provided the most information about injury severity in chronic injury.

Entities:  

Keywords:  diffusion tensor imaging; magnetic resonance imaging; spinal cord injury

Year:  2020        PMID: 31830856      PMCID: PMC7071026          DOI: 10.1089/neu.2019.6731

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


  55 in total

1.  A prospective serial MRI study following acute traumatic cervical spinal cord injury.

Authors:  Joost P H J Rutges; Brian K Kwon; Manraj Heran; Tamir Ailon; John T Street; Marcel F Dvorak
Journal:  Eur Spine J       Date:  2017-04-19       Impact factor: 3.134

2.  Neuritic beading induced by activated microglia is an early feature of neuronal dysfunction toward neuronal death by inhibition of mitochondrial respiration and axonal transport.

Authors:  Hideyuki Takeuchi; Tetsuya Mizuno; Guiqin Zhang; Jinyan Wang; Jun Kawanokuchi; Reiko Kuno; Akio Suzumura
Journal:  J Biol Chem       Date:  2005-01-07       Impact factor: 5.157

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

Authors:  Michael M Poplawski; Mahdi Alizadeh; Christina V Oleson; Joshua Fisher; Ralph J Marino; Richard J Gorniak; Benjamin E Leiby; Adam E Flanders
Journal:  J Neurotrauma       Date:  2019-06-17       Impact factor: 5.269

Review 4.  The pathology of human spinal cord injury: defining the problems.

Authors:  Michael D Norenberg; Jon Smith; Alex Marcillo
Journal:  J Neurotrauma       Date:  2004-04       Impact factor: 5.269

5.  Diffusion tensor magnetic resonance imaging of Wallerian degeneration in rat spinal cord after dorsal root axotomy.

Authors:  Jiangyang Zhang; Melina Jones; Cynthia A DeBoy; Daniel S Reich; Jonathan A D Farrell; Paul N Hoffman; John W Griffin; Kazim A Sheikh; Michael I Miller; Susumu Mori; Peter A Calabresi
Journal:  J Neurosci       Date:  2009-03-11       Impact factor: 6.167

6.  Detection of acute nervous system injury with advanced diffusion-weighted MRI: a simulation and sensitivity analysis.

Authors:  Nathan P Skinner; Shekar N Kurpad; Brian D Schmit; Matthew D Budde
Journal:  NMR Biomed       Date:  2015-09-28       Impact factor: 4.044

7.  Biomarkers for severity of spinal cord injury in the cerebrospinal fluid of rats.

Authors:  Joanna M Lubieniecka; Femke Streijger; Jae H T Lee; Nikolay Stoynov; Jie Liu; Randy Mottus; Tom Pfeifer; Brian K Kwon; Jens R Coorssen; Leonard J Foster; Thomas A Grigliatti; Wolfram Tetzlaff
Journal:  PLoS One       Date:  2011-04-29       Impact factor: 3.240

8.  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

9.  Quantitative MRI of rostral spinal cord and brain regions is predictive of functional recovery in acute spinal cord injury.

Authors:  Maryam Seif; Armin Curt; Alan J Thompson; Patrick Grabher; Nikolaus Weiskopf; Patrick Freund
Journal:  Neuroimage Clin       Date:  2018-08-19       Impact factor: 4.881

10.  Filter-probe diffusion imaging improves spinal cord injury outcome prediction.

Authors:  Nathan P Skinner; Seung-Yi Lee; Shekar N Kurpad; Brian D Schmit; L Tugan Muftuler; Matthew D Budde
Journal:  Ann Neurol       Date:  2018-07-03       Impact factor: 11.274

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  7 in total

1.  Correlation Analysis Between Magnetic Resonance Imaging-Based Anatomical Assessment and Behavioral Outcome in a Rat Contusion Model of Chronic Thoracic Spinal Cord Injury.

Authors:  Cong Xing; Zeyu Jia; Haodong Qu; Song Liu; Wang Jiang; Hao Zhong; Mi Zhou; Shibo Zhu; Guangzhi Ning; Shiqing Feng
Journal:  Front Neurosci       Date:  2022-04-21       Impact factor: 5.152

2.  Association Between Magnetic Resonance Imaging-Based Spinal Morphometry and Sensorimotor Behavior in a Hemicontusion Model of Incomplete Cervical Spinal Cord Injury in Rats.

Authors:  Jyothsna Chitturi; Basavaraju G Sanganahalli; Peter Herman; Fahmeed Hyder; Li Ni; Stella Elkabes; Robert Heary; Sridhar S Kannurpatti
Journal:  Brain Connect       Date:  2020-10-29

3.  Relationships between spinal cord blood flow measured with flow-sensitive alternating inversion recovery (FAIR) and neurobehavioral outcomes in rat spinal cord injury.

Authors:  Seongtaek Lee; Natasha Wilkins; Brian D Schmit; Shekar N Kurpad; Matthew D Budde
Journal:  Magn Reson Imaging       Date:  2021-02-06       Impact factor: 2.546

4.  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

5.  MRI metrics at the epicenter of spinal cord injury are correlated with the stepping process in rhesus monkeys.

Authors:  Jia-Sheng Rao; Can Zhao; Shu-Sheng Bao; Ting Feng; Meng Xu
Journal:  Exp Anim       Date:  2021-11-16

Review 6.  In vivo imaging in experimental spinal cord injury - Techniques and trends.

Authors:  Vanessa Hubertus; Lea Meyer; Laurens Roolfs; Lilly Waldmann; Melina Nieminen-Kelhä; Michael G Fehlings; Peter Vajkoczy
Journal:  Brain Spine       Date:  2021-12-29

7.  Total flavonoids of hawthorn leaves promote motor function recovery via inhibition of apoptosis after spinal cord injury.

Authors:  Qiong Zhang; Yin Xiong; Bo Li; Gui-Ying Deng; Wen-Wen Fu; Bai-Chuan Cao; Shao-Hui Zong; Gao-Feng Zeng
Journal:  Neural Regen Res       Date:  2021-02       Impact factor: 5.135

  7 in total

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