Literature DB >> 30346248

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

Denise R O'Dell1,2, Kenneth A Weber3, Jeffrey C Berliner2, James M Elliott4,5,6, Jordan R Connor1, David P Cummins1, Katherine A Heller1, Joshua S Hubert1, Megan J Kates1, Katarina R Mendoza1, Andrew C Smith1.   

Abstract

Context: Following spinal cord injury (SCI), early prediction of future walking ability is difficult, due to factors such as spinal shock, sedation, impending surgery, and secondary long bone fracture. Accurate, objective biomarkers used in the acute stage of SCI would inform individualized patient management and enhance both patient/family expectations and treatment outcomes. Using magnetic resonance imaging (MRI) and specifically a midsagittal T2-weighted image, the amount of tissue bridging (measured as spared spinal cord tissue) shows potential to serve as such a biomarker. Ten participants with incomplete SCI received MRI of the spinal cord. Using the midsagittal T2-weighted image, anterior and posterior tissue bridges were calculated as the distance from cerebrospinal fluid to the damage. Then, the midsagittal tissue bridge ratio was calculated as the sum of anterior and posterior tissue bridges divided by the spinal cord diameter. Each participant also performed a 6-minute walk test, where the total distance walked was measured within six minutes.Findings: The midsagittal tissue bridge ratio measure demonstrated a high level of inter-rater reliability (ICC = 0.90). Midsagittal tissue bridge ratios were significantly related to distance walked in six minutes (R = 0.68, P = 0.03).Conclusion/clinical relevance: We uniquely demonstrated that midsagittal tissue bridge ratios were correlated walking ability. These preliminary findings suggest potential for this measure to be considered a prognostic biomarker of residual walking ability following SCI.

Entities:  

Keywords:  Magnetic resonance imaging; SCI; Spinal cord injury; Tissue bridge; Walking

Mesh:

Substances:

Year:  2018        PMID: 30346248      PMCID: PMC7054908          DOI: 10.1080/10790268.2018.1527079

Source DB:  PubMed          Journal:  J Spinal Cord Med        ISSN: 1079-0268            Impact factor:   1.985


  28 in total

1.  Assessment of walking speed and distance in subjects with an incomplete spinal cord injury.

Authors:  Hubertus J A van Hedel; Volker Dietz; Armin Curt
Journal:  Neurorehabil Neural Repair       Date:  2007-03-12       Impact factor: 3.919

Review 2.  Establishing prognosis and maximizing functional outcomes after spinal cord injury: a review of current and future directions in rehabilitation management.

Authors:  A S Burns; J F Ditunno
Journal:  Spine (Phila Pa 1976)       Date:  2001-12-15       Impact factor: 3.468

3.  Glial scar and neuroregeneration: histological, functional, and magnetic resonance imaging analysis in chronic spinal cord injury.

Authors:  Rong Hu; Jianjun Zhou; Chunxia Luo; Jiangkai Lin; Xianrong Wang; Xiaoguang Li; Xiuwu Bian; Yunqing Li; Qi Wan; Yanbing Yu; Hua Feng
Journal:  J Neurosurg Spine       Date:  2010-08

Review 4.  The role of magnetic resonance imaging in the management of acute spinal cord injury.

Authors:  Anthony Bozzo; Judith Marcoux; Mohan Radhakrishna; Julie Pelletier; Benoit Goulet
Journal:  J Neurotrauma       Date:  2010-08-30       Impact factor: 5.269

5.  Predicting neurologic recovery in cervical spinal cord injury with postoperative MR imaging.

Authors:  Christian Boldin; Johann Raith; Florian Fankhauser; Christian Haunschmid; Gerold Schwantzer; Franz Schweighofer
Journal:  Spine (Phila Pa 1976)       Date:  2006-03-01       Impact factor: 3.468

6.  Validity and reliability of the 10-m walk test and the 6-min walk test in spinal cord injury patients.

Authors:  G Scivoletto; F Tamburella; L Laurenza; C Foti; J F Ditunno; M Molinari
Journal:  Spinal Cord       Date:  2011-01-11       Impact factor: 2.772

7.  Adaptation of motor function after spinal cord injury: novel insights into spinal shock.

Authors:  Robert A Boland; Cindy S-Y Lin; Stella Engel; Matthew C Kiernan
Journal:  Brain       Date:  2010-10-15       Impact factor: 13.501

8.  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 9.  Clinical diagnosis and prognosis following spinal cord injury.

Authors:  Anthony S Burns; Ralph J Marino; Adam E Flanders; Heather Flett
Journal:  Handb Clin Neurol       Date:  2012

10.  Lateral Corticospinal Tract Damage Correlates With Motor Output in Incomplete Spinal Cord Injury.

Authors:  Andrew C Smith; Kenneth A Weber; Denise R O'Dell; Todd B Parrish; Marie Wasielewski; James M Elliott
Journal:  Arch Phys Med Rehabil       Date:  2017-10-26       Impact factor: 3.966

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

Authors:  Andrew C Smith; Denise R O'Dell; Wesley A Thornton; David Dungan; Eli Robinson; Ashesh Thaker; Robyn Gisbert; Kenneth A Weber; Jeffrey C Berliner; Stephanie R Albin
Journal:  Top Spinal Cord Inj Rehabil       Date:  2021-11-24

3.  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

Review 4.  Guidelines for the conduct of clinical trials in spinal cord injury: Neuroimaging biomarkers.

Authors:  Maryam Seif; Claudia Am Gandini Wheeler-Kingshott; Julien Cohen-Adad; Adam E Flanders; Patrick Freund
Journal:  Spinal Cord       Date:  2019-07-02       Impact factor: 2.772

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

6.  Lateral Corticospinal Tract and Dorsal Column Damage: Predictive Relationships With Motor and Sensory Scores at Discharge From Acute Rehabilitation After Spinal Cord Injury.

Authors:  Andrew C Smith; Denise R O'Dell; Stephanie R Albin; Jeffrey C Berliner; David Dungan; Eli Robinson; James M Elliott; Julio Carballido-Gamio; Jennifer Stevens-Lapsley; Kenneth A Weber
Journal:  Arch Phys Med Rehabil       Date:  2021-08-08       Impact factor: 3.966

Review 7.  Improving Diagnostic Workup Following Traumatic Spinal Cord Injury: Advances in Biomarkers.

Authors:  Simon Schading; Tim M Emmenegger; Patrick Freund
Journal:  Curr Neurol Neurosci Rep       Date:  2021-07-16       Impact factor: 5.081

8.  Spinal Cord Imaging Markers and Recovery of Volitional Leg Movement With Spinal Cord Epidural Stimulation in Individuals With Clinically Motor Complete Spinal Cord Injury.

Authors:  Enrico Rejc; Andrew C Smith; Kenneth A Weber; Beatrice Ugiliweneza; Robert J Bert; Mohammadjavad Negahdar; Maxwell Boakye; Susan J Harkema; Claudia A Angeli
Journal:  Front Syst Neurosci       Date:  2020-10-21

9.  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

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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