Inversion recovery versus T2-weighted sagittal MR imaging in cervical spinal cord injury

2001 ◽  
Vol 8 (1) ◽  
pp. 15-19 ◽  
Author(s):  
K. L. Killeen ◽  
K. Shanmuganathan ◽  
D. Lefkowitz ◽  
S. E. Mirvis ◽  
E. Owens
Keyword(s):  
Spinal Cord ◽  
Spinal Cord Injury ◽  
Mr Imaging ◽  
Cervical Spinal Cord ◽  
Cervical Spinal Cord Injury ◽  
Inversion Recovery ◽  
Cord Injury

scholarly journals Reduced FOV diffusion tensor MR imaging and fiber tractography of pediatric cervical spinal cord injury

Spinal Cord ◽  
2016 ◽  
Vol 55 (3) ◽  
pp. 314-320 ◽  
Author(s):  
M Alizadeh ◽  
A Intintolo ◽  
D M Middleton ◽  
C J Conklin ◽  
S H Faro ◽  
...  
Keyword(s):  
Spinal Cord ◽  
Spinal Cord Injury ◽  
Mr Imaging ◽  
Diffusion Tensor ◽  
Cervical Spinal Cord ◽  
Cervical Spinal Cord Injury ◽  
Fiber Tractography ◽  
Cord Injury ◽  
Diffusion Tensor Mr Imaging

scholarly journals Multivariate Analysis of Acute Magnetic Resonance Imaging Predicts Neurological Improvements in Patients With Cervical Spinal Cord Injury After Early Surgical Decompression

Neurosurgery ◽  
2019 ◽  
Vol 66 (Supplement_1) ◽  
Author(s):  
Tomoo Inoue ◽  
Toshiki Endo ◽  
Shinsuke Suzuki ◽  
Hiroshi Uenohara ◽  
Teiji Tominaga
Keyword(s):  
Spinal Cord ◽  
Spinal Cord Injury ◽  
Magnetic Resonance ◽  
Mr Imaging ◽  
Spinal Injury ◽  
Cervical Spinal Cord ◽  
Principal Component ◽  
Surgical Decompression ◽  
Cervical Spinal Cord Injury ◽  
Cord Injury

Abstract INTRODUCTION Patients with cervical spinal cord injury (SCI) show different clinical outcomes. There is a significant association between the acute magnetic resonance (MR) imaging of cervical SCI and neurological recovery of cervical SCI. We speculated that principal component analysis (PCA), a dimension reduction procedure, would detect clinically predictive patterns in complex MR imaging and predict neurological improvements assessed by the American Spinal Injury Association Impairment Scale (AIS) and Japanese Orthopaedic Association (JOA) score. METHODS We performed a retrospective analysis of 50 patients with cervical SCI who underwent early surgical decompression less than 48 h after the trauma. We analyzed 7 types of MR imaging assessments: axial grade assessed by the Brain and Spinal Injury Center score (BASIC), longitudinal intramedurallry lesion length, spinal cord signal intensity on T1 and T2 weighted image, maximum canal compromise, maximum spinal cord compression, Subaxial Cervical Spine Injury Classification System. PCA was applied on these multivariate data to identify factors that contribute to recovery after cervical SCI following surgery. AIS conversion was evaluated at 6 mo. RESULTS Nonlinear principal component (PC) evaluation detected 2 features of MR imaging. PCA revealed PC 1 (40.6%) explaining the intramedullary signal abnormalities that were negatively associated with postoperative AIS conversion. PC2 (18.5%) suggested extrinsic morphological variables, but did not predict outcomes. The BASIC score revealed the significant overall predictive value for AIS conversion at six months (AUC 0.86). This result suggested that the intramedullary signal abnormalities reflect delayed neurological improvements even after early surgical decompressions in patients with cervical SCI. CONCLUSION PCA could be a useful data-mining tool to show the complex relationships between acute MR imaging findings in cervical SCI. This study emphasized the importance of multivariable intramedullary MR imaging as clinical outcome predictors.

scholarly journals MR Imaging of Cervical Spinal Cord Injury.

1992 ◽  
Vol 41 (1) ◽  
pp. 321-323
Author(s):  
Masashi Iwasaki ◽  
Kazunori Yone ◽  
Nagatoshi Yoshikuni ◽  
Kiyoshi Uchino ◽  
Nobuo Origuchi ◽  
...  
Keyword(s):  
Spinal Cord ◽  
Spinal Cord Injury ◽  
Mr Imaging ◽  
Cervical Spinal Cord ◽  
Cervical Spinal Cord Injury ◽  
Cord Injury

Predicting Neurologic Recovery in Cervical Spinal Cord Injury With Postoperative MR Imaging

Spine ◽  
2006 ◽  
Vol 31 (5) ◽  
pp. 554-559 ◽  
Author(s):  
Christian Boldin ◽  
Johann Raith ◽  
Florian Fankhauser ◽  
Christian Haunschmid ◽  
Gerold Schwantzer ◽  
...  
Keyword(s):  
Spinal Cord ◽  
Spinal Cord Injury ◽  
Mr Imaging ◽  
Cervical Spinal Cord ◽  
Cervical Spinal Cord Injury ◽  
Neurologic Recovery ◽  
Cord Injury

Forecasting motor recovery after cervical spinal cord injury: value of MR imaging.

Radiology ◽  
1996 ◽  
Vol 201 (3) ◽  
pp. 649-655 ◽  
Author(s):  
A E Flanders ◽  
C M Spettell ◽  
L M Tartaglino ◽  
D P Friedman ◽  
G J Herbison
Keyword(s):  
Spinal Cord ◽  
Spinal Cord Injury ◽  
Mr Imaging ◽  
Cervical Spinal Cord ◽  
Motor Recovery ◽  
Cervical Spinal Cord Injury ◽  
Cord Injury

scholarly journals An Inertial Measurement Unit-Based Wireless System for Shoulder Motion Assessment in Patients with Cervical Spinal Cord Injury: A Validation Pilot Study in a Clinical Setting

Sensors ◽  
2021 ◽  
Vol 21 (4) ◽  
pp. 1057
Author(s):  
Riccardo Bravi ◽  
Stefano Caputo ◽  
Sara Jayousi ◽  
Alessio Martinelli ◽  
Lorenzo Biotti ◽  
...  
Keyword(s):  
Spinal Cord ◽  
Spinal Cord Injury ◽  
Clinical Setting ◽  
Cervical Spinal Cord ◽  
Wearable Sensors ◽  
Cervical Spinal Cord Injury ◽  
Measurement Unit ◽  
Innovative Technology ◽  
Inertial Measurement ◽  
Cord Injury

Residual motion of upper limbs in individuals who experienced cervical spinal cord injury (CSCI) is vital to achieve functional independence. Several interventions were developed to restore shoulder range of motion (ROM) in CSCI patients. However, shoulder ROM assessment in clinical practice is commonly limited to use of a simple goniometer. Conventional goniometric measurements are operator-dependent and require significant time and effort. Therefore, innovative technology for supporting medical personnel in objectively and reliably measuring the efficacy of treatments for shoulder ROM in CSCI patients would be extremely desirable. This study evaluated the validity of a customized wireless wearable sensors (Inertial Measurement Units—IMUs) system for shoulder ROM assessment in CSCI patients in clinical setting. Eight CSCI patients and eight healthy controls performed four shoulder movements (forward flexion, abduction, and internal and external rotation) with dominant arm. Every movement was evaluated with a goniometer by different testers and with the IMU system at the same time. Validity was evaluated by comparing IMUs and goniometer measurements using Intraclass Correlation Coefficient (ICC) and Limits of Agreement (LOA). inter-tester reliability of IMUs and goniometer measurements was also investigated. Preliminary results provide essential information on the accuracy of the proposed wireless wearable sensors system in acquiring objective measurements of the shoulder movements in CSCI patients.

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