Literature DB >> 8379840

Magnetic resonance imaging related to neurologic outcome in cervical spinal cord injury.

M A Marciello1, A E Flanders, G J Herbison, D M Schaefer, D P Friedman, J I Lane.   

Abstract

The purpose of this study was to examine the relationship between the initial intramedullary hemorrhage, as seen by magnetic resonance imaging (MRI), and the neurologic deficit and eventual neurologic outcome of acute cervical spinal cord injured subjects. MRI and motor assessments were performed on 24 subjects with motor complete (Frankel A & B) and incomplete (Frankel C & D) injuries. Recovery was determined by evaluating an initial and a final motor power following spinal cord injury (SCI), as defined by the manual muscle test (grade 1-5) and motor index score (MIS). Results showed that all 15 subjects having hemorrhage had motor complete injuries (Frankel A & B). Sixteen percent of the muscles in the upper extremities and 3% of the muscles in the lower extremities in these 15 subjects improved to a grade of > or = 3/5 at the final evaluation post-SCI. In comparison, of the nine subjects not having hemorrhage, eight had motor incomplete injuries (Frankel C & D) and had 73% and 74% of muscles improving in the upper and lower extremities, respectively. In addition, a change in MIS from initial to final evaluations showed a significant difference between subjects with hemorrhage and subjects without hemorrhage (upper extremities: p = .002 and lower extremities: p = .0001). In conclusion, the initial MR image and neurologic assessment correlated with motor power recovery.

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Mesh:

Year:  1993        PMID: 8379840

Source DB:  PubMed          Journal:  Arch Phys Med Rehabil        ISSN: 0003-9993            Impact factor:   3.966


  17 in total

1.  Multivariate Analysis of MRI Biomarkers for Predicting Neurologic Impairment in Cervical Spinal Cord Injury.

Authors:  J Haefeli; M C Mabray; W D Whetstone; S S Dhall; J Z Pan; P Upadhyayula; G T Manley; J C Bresnahan; M S Beattie; A R Ferguson; J F Talbott
Journal:  AJNR Am J Neuroradiol       Date:  2016-12-22       Impact factor: 3.825

2.  Hellenic Spinal Cord Section of the Hellenic Society of Physical and Rehabilitation Medicine National Congress 2019, "Healthy, and long living after SCI" Proceedings. 13th-15th December 2019, Vellideio, Thessaloniki, Greece.

Authors: 
Journal:  J Musculoskelet Neuronal Interact       Date:  2019-12-01       Impact factor: 2.041

3.  Intramedullary Lesion Length on Postoperative Magnetic Resonance Imaging is a Strong Predictor of ASIA Impairment Scale Grade Conversion Following Decompressive Surgery in Cervical Spinal Cord Injury.

Authors:  Bizhan Aarabi; Charles A Sansur; David M Ibrahimi; J Marc Simard; David S Hersh; Elizabeth Le; Cara Diaz; Jennifer Massetti; Noori Akhtar-Danesh
Journal:  Neurosurgery       Date:  2017-04-01       Impact factor: 4.654

4.  Neuropathological differences between rats and mice after spinal cord injury.

Authors:  Kimberly R Byrnes; Stanley T Fricke; Alan I Faden
Journal:  J Magn Reson Imaging       Date:  2010-10       Impact factor: 4.813

5.  Neurologic recovery according to early magnetic resonance imaging findings in traumatic cervical spinal cord injuries.

Authors:  Ji Cheol Shin; Deog Young Kim; Chang Il Park; Yong Wook Kim; Seok Hoon Ohn
Journal:  Yonsei Med J       Date:  2005-06-30       Impact factor: 2.759

6.  Dural tears in spinal burst fractures: predictable MR imaging findings.

Authors:  I S Lee; H J Kim; J S Lee; S-J Kim; Y J Jeong; D K Kim; T-Y Moon
Journal:  AJNR Am J Neuroradiol       Date:  2008-09-03       Impact factor: 3.825

Review 7.  Donald Munro Lecture. Spinal cord injury--past, present, and future.

Authors:  William H Donovan
Journal:  J Spinal Cord Med       Date:  2007       Impact factor: 1.985

8.  Brown-Sequard syndrome after blunt cervical spine trauma: clinical and radiological correlations.

Authors:  Pablo Miranda; Pedro Gomez; Rafael Alday; Ariel Kaen; Ana Ramos
Journal:  Eur Spine J       Date:  2007-03-30       Impact factor: 3.134

9.  Multidimensional Analysis of Magnetic Resonance Imaging Predicts Early Impairment in Thoracic and Thoracolumbar Spinal Cord Injury.

Authors:  Marc C Mabray; Jason F Talbott; William D Whetstone; Sanjay S Dhall; David B Phillips; Jonathan Z Pan; Geoffrey T Manley; Jacqueline C Bresnahan; Michael S Beattie; Jenny Haefeli; Adam R Ferguson
Journal:  J Neurotrauma       Date:  2016-02-01       Impact factor: 5.269

Review 10.  Neuroimaging in traumatic spinal cord injury: an evidence-based review for clinical practice and research.

Authors:  Daniel Lammertse; David Dungan; James Dreisbach; Scott Falci; Adam Flanders; Ralph Marino; Eric Schwartz
Journal:  J Spinal Cord Med       Date:  2007       Impact factor: 1.985

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