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

Study design:Quantitative study.Objectives:To evaluate the effectiveness of pediatric spinal cord diffusion tensor tractography (DTT) generated from reduced field of view diffusion tensor imaging (DTI) data and investigate whether there are differences in these values between typically developing (TD) subjects and patients with spinal cord injury (SCI).Setting:Temple University Hospital and Shriners Hospitals for Children-Philadelphia, USA.Methods:A total of 20 pediatric subjects including 10 healthy subjects (age 15.13±3.51 years (mean±s.d.) and age range 11–21 years) and 10 subjects with SCI in the cervical area (age 13.8±3.26 years and age range 8–20 years) were recruited, and scanned using a 3.0T MR scanner. Quantitative parameters of DTI and fiber tracking, such as mean fractional anisotropy (FA), apparent diffusion coefficient (ADC), mean length of fiber tracts and tract density, were calculated for each subject.Results:Subjects with SCI showed reduced FA and tract density, and increased ADC values and length of fiber tracts, compared with controls. Statistically significant differences were seen in FA (P=0.0238) and tract density (P=0.0005) between controls and subjects with SCI, whereas there were no significant differences in ADC values and length of fiber tracts. The tractography visually showed that the white matter tracts (blue color) of the SCI patients were overall less abundant and less organized compared with control cases.Conclusion:The results show that DTI and DTT could be used as surrogate markers for quantification and visualization of the injured spinal cord.

[1]  Yongmin Chang,et al.  Diffusion tensor imaging and fiber tractography of patients with cervical spinal cord injury. , 2010, Journal of neurotrauma.

[2]  J K Smith,et al.  Temporal and Spatial Development of Axonal Maturation and Myelination of White Matter in the Developing Brain , 2008, American Journal of Neuroradiology.

[3]  J. Fernandez-Miranda,et al.  Advanced diffusion MRI fiber tracking in neurosurgical and neurodegenerative disorders and neuroanatomical studies: A review. , 2014, Biochimica et biophysica acta.

[4]  R. Betz,et al.  The International Standards for Neurological Classification of Spinal Cord Injury: reliability of data when applied to children and youths , 2007, Spinal Cord.

[5]  Christopher Nimsky,et al.  Evaluation of Diffusion-Tensor Imaging-Based Global Search and Tractography for Tumor Surgery Close to the Language System , 2013, PloS one.

[6]  P. London Injury , 1969, Definitions.

[7]  Susumu Mori,et al.  Fiber tracking: principles and strategies – a technical review , 2002, NMR in biomedicine.

[8]  Bhatia,et al.  Diffusion Tensor Tractography Demonstration of Partially Injured Spinal Cord Tracts in a Patient with Posttraumatic Brown Sequard Syndrome , 2013 .

[9]  A. Anwander,et al.  Validation of tractography: Comparison with manganese tracing , 2015, Human brain mapping.

[10]  H. Okano,et al.  In Vivo Tracing of Neural Tracts in the Intact and Injured Spinal Cord of Marmosets by Diffusion Tensor Tractography , 2007, The Journal of Neuroscience.

[11]  W. Su,et al.  Upregulation of Tissue Factor by Activated Stat3 Contributes to Malignant Pleural Effusion Generation via Enhancing Tumor Metastasis and Vascular Permeability in Lung Adenocarcinoma , 2013, PloS one.

[12]  Abraham Z. Snyder,et al.  Improved in vivo diffusion tensor imaging of human cervical spinal cord , 2013, NeuroImage.

[13]  Devon M Middleton,et al.  An investigation of motion correction algorithms for pediatric spinal cord DTI in healthy subjects and patients with spinal cord injury. , 2014, Magnetic resonance imaging.

[14]  P. Stroman,et al.  Investigation of human cervical and upper thoracic spinal cord motion: Implications for imaging spinal cord structure and function , 2007, Magnetic resonance in medicine.

[15]  R R Betz,et al.  Diagnostic accuracy of diffusion tensor imaging for pediatric cervical spinal cord injury , 2013, Spinal Cord.

[16]  A. Ylinen,et al.  Clinical correlates of cerebral diffusion tensor imaging findings in chronic traumatic spinal cord injury , 2014, Spinal Cord.

[17]  K. Peck,et al.  Diffusion tensor tractography of the arcuate fasciculus in patients with brain tumors: Comparison between deterministic and probabilistic models. , 2013, Journal of biomedical science and engineering.

[18]  Feroze B. Mohamed,et al.  Spatially selective 2D RF inner field of view (iFOV) diffusion kurtosis imaging (DKI) of the pediatric spinal cord , 2016, NeuroImage: Clinical.

[19]  H. Okano,et al.  Diffusion tensor imaging and tractography of the spinal cord: From experimental studies to clinical application , 2013, Experimental Neurology.

[20]  M. Mulcahey,et al.  Diffusion Tensor Imaging of the Normal Pediatric Spinal Cord Using an Inner Field of View Echo-Planar Imaging Sequence , 2012, American Journal of Neuroradiology.

[21]  R. Betz,et al.  Diffusion Tensor Imaging of the Pediatric Spinal Cord at 1.5T: Preliminary Results , 2011, American Journal of Neuroradiology.

[22]  Lihua Tang,et al.  Reduced field-of-view DTI segmentation of cervical spine tissue. , 2013, Magnetic resonance imaging.

[23]  P. Dziallas,et al.  Evaluation of normal appearing spinal cord by diffusion tensor imaging, fiber tracking, fractional anisotropy, and apparent diffusion coefficient measurement in 13 dogs , 2013, Acta Veterinaria Scandinavica.

[24]  Anders M. Dale,et al.  Automated white‐matter tractography using a probabilistic diffusion tensor atlas: Application to temporal lobe epilepsy , 2009, Human brain mapping.

[25]  Christopher G Filippi,et al.  Diffusion-tensor imaging of small nerve bundles: cranial nerves, peripheral nerves, distal spinal cord, and lumbar nerve roots--clinical applications. , 2013, AJR. American journal of roentgenology.

[26]  Timothy D. Verstynen,et al.  Deterministic Diffusion Fiber Tracking Improved by Quantitative Anisotropy , 2013, PloS one.