Literature DB >> 35521064

Spinal Cord Tissue Bridges Validation Study: Predictive Relationships With Sensory Scores Following Cervical Spinal Cord Injury.

Andrew C Smith1,2, Denise R O'Dell2,3, Wesley A Thornton1,3, David Dungan3,4, Eli Robinson3, Ashesh Thaker5, Robyn Gisbert1, Kenneth A Weber6, Jeffrey C Berliner3, Stephanie R Albin2.   

Abstract

Background: Using magnetic resonance imaging (MRI), widths of ventral tissue bridges demonstrated significant predictive relationships with future pinprick sensory scores, and widths of dorsal tissue bridges demonstrated significant predictive relationships with future light touch sensory scores, following spinal cord injury (SCI). These studies involved smaller participant numbers, and external validation of their findings is warranted.
Objectives: The purpose of this study was to validate these previous findings using a larger independent data set.
Methods: Widths of ventral and dorsal tissue bridges were quantified using MRI in persons post cervical level SCI (average 3.7 weeks post injury), and pinprick and light touch sensory scores were acquired at discharge from inpatient rehabilitation (average 14.3 weeks post injury). Pearson product-moments were calculated and linear regression models were created from these data.
Results: Wider ventral tissue bridges were significantly correlated with pinprick scores (r = 0.31, p < 0.001, N = 136) and wider dorsal tissue bridges were significantly correlated with light touch scores (r = 0.31, p < 0.001, N = 136) at discharge from inpatient rehabilitation.
Conclusion: This retrospective study's results provide external validation of previous findings, using a larger sample size. Following SCI, ventral tissue bridges hold significant predictive relationships with future pinprick sensory scores and dorsal tissue bridges hold significant predictive relationships with future light touch sensory scores.
© 2022 American Spinal Injury Association.

Entities:  

Keywords:  MRI; light touch; pinprick; sensory testing; spinal cord injury; tissue bridge

Mesh:

Year:  2021        PMID: 35521064      PMCID: PMC9009194          DOI: 10.46292/sci21-00018

Source DB:  PubMed          Journal:  Top Spinal Cord Inj Rehabil        ISSN: 1082-0744


  16 in total

1.  Transcutaneous Electrical Spinal Stimulation Promotes Long-Term Recovery of Upper Extremity Function in Chronic Tetraplegia.

Authors:  Fatma Inanici; Soshi Samejima; Parag Gad; V Reggie Edgerton; Christoph P Hofstetter; Chet T Moritz
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2018-06       Impact factor: 3.802

2.  Are midsagittal tissue bridges predictive of outcome after cervical spinal cord injury?

Authors:  Eveline Huber; Patrice Lachappelle; Reto Sutter; Armin Curt; Patrick Freund
Journal:  Ann Neurol       Date:  2017-05       Impact factor: 10.422

Review 3.  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

4.  Midsagittal tissue bridges are associated with walking ability in incomplete spinal cord injury: A magnetic resonance imaging case series.

Authors:  Denise R O'Dell; Kenneth A Weber; Jeffrey C Berliner; James M Elliott; Jordan R Connor; David P Cummins; Katherine A Heller; Joshua S Hubert; Megan J Kates; Katarina R Mendoza; Andrew C Smith
Journal:  J Spinal Cord Med       Date:  2018-10-22       Impact factor: 1.985

5.  The influence of conventional T2 MRI indices in predicting who will walk outside one year after spinal cord injury.

Authors:  Jeffrey C Berliner; Denise R O'Dell; Stephanie R Albin; David Dungan; Mitch Sevigny; James M Elliott; Kenneth A Weber; Daniel R Abdie; Jack S Anderson; Alison A Rich; Carly A Seib; Hannah G S Sagan; Andrew C Smith
Journal:  J Spinal Cord Med       Date:  2021-04-02       Impact factor: 1.985

6.  Establishing the inter-rater reliability of spinal cord damage manual measurement using magnetic resonance imaging.

Authors:  David P Cummins; Jordan R Connor; Katherine A Heller; Joshua S Hubert; Megan J Kates; Katarina R Wisniewski; Jeffrey C Berliner; Denise R O'Dell; James M Elliott; Kenneth A Weber; Andrew C Smith
Journal:  Spinal Cord Ser Cases       Date:  2019-02-18

7.  Tissue bridges predict neuropathic pain emergence after spinal cord injury.

Authors:  Dario Pfyffer; Kevin Vallotton; Armin Curt; Patrick Freund
Journal:  J Neurol Neurosurg Psychiatry       Date:  2020-08-11       Impact factor: 10.154

8.  Axial MRI biomarkers of spinal cord damage to predict future walking and motor function: a retrospective study.

Authors:  Andrew C Smith; Stephanie R Albin; Denise R O'Dell; Jeffrey C Berliner; David Dungan; Mitch Sevigny; Christina Draganich; James M Elliott; Kenneth A Weber Ii
Journal:  Spinal Cord       Date:  2020-10-06       Impact factor: 2.772

9.  Predictive Value of Midsagittal Tissue Bridges on Functional Recovery After Spinal Cord Injury.

Authors:  Dario Pfyffer; Kevin Vallotton; Armin Curt; Patrick Freund
Journal:  Neurorehabil Neural Repair       Date:  2020-11-16       Impact factor: 3.919

10.  Tissue bridges predict recovery after traumatic and ischemic thoracic spinal cord injury.

Authors:  Dario Pfyffer; Eveline Huber; Reto Sutter; Armin Curt; Patrick Freund
Journal:  Neurology       Date:  2019-09-20       Impact factor: 9.910

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