Browse the latest research summaries in the field of neuroimaging for spinal cord injury patients and caregivers.
Showing 1-10 of 95 results
Indian Journal of Radiology and Imaging, 2011 • August 1, 2011
This study investigates the feasibility of spinal tractography and fractional anisotropy (FA) value comparison in spinal cord injury patients versus a control group. DTI was performed on 29 subjects (...
KEY FINDING: The mean FA value was 0.550±0.09 in the control group and 0.367±0.14 in the patients; this difference was statistically significant (P=0.001).
Neural Regeneration Research, 2013 • September 1, 2013
This retrospective study analyzed 36 cases of inflammatory demyelinating pseudotumors in the spinal cord, highlighting their clinical, imaging, and pathological characteristics to aid in differential ...
KEY FINDING: Most patients experienced acute or subacute onset, exhibiting sensorimotor disorders.
Global Spine Journal, 2025 • June 27, 2024
This systematic review and meta-analysis evaluated the utility of diffusion tensor imaging (DTI) in diagnosing and assessing degenerative cervical myelopathy (DCM). It analyzed 57 studies involving ov...
KEY FINDING: Fractional anisotropy (FA) values are significantly lower in DCM patients compared to healthy subjects at the maximal compression level.
Frontiers in Neurology, 2024 • December 13, 2024
This study used rs-fMRI and ALFF to examine brain activity differences in DoC patients with TBI and non-TBI, assessing the predictive value of these measures for consciousness improvement after SCS th...
KEY FINDING: Patients with TBI showed increased ALFF in the thalamus and anterior cingulate cortex, while the middle occipital lobe showed decreased ALFF.
Die Radiologie, 2022 • July 5, 2022
Postoperative imaging of the spine serves to control the success of the operation and to identify complications. Conventional X-ray, CT, myelography and MRI are available for this purpose. The radiolo...
KEY FINDING: Conventional X-rays are used for postoperative implant placement and integrity checks, and are the first choice for routine examinations.
Journal of Clinical Orthopaedics and Trauma, 2022 • August 31, 2022
DTI is a non-invasive MRI technique that assesses spinal cord microstructure by tracking water molecule movement, revealing damage through changes in anisotropy and diffusivity. DTI parameters like FA...
KEY FINDING: Reduced FA is consistently observed at injury sites due to disruption of anisotropy, indicating damage to the white matter tracts.
Frontiers in Neurology, 2022 • September 1, 2022
This study aimed to identify specific changes in brain gray matter volume (GMV) and white matter volume (WMV) following spinal cord injury (SCI) through a voxel-based meta-analysis of whole-brain voxe...
KEY FINDING: SCI patients showed significant gray matter volume (GMV) loss in the left insula and bilateral thalamus compared to healthy controls.
Not specified, null • March 16, 2023
This study introduces a reduced-Field-Of-View phase-segmented EPI (rFOV-PS-EPI) diffusion weighted MR pulse sequence to address geometric distortions near metal implants in DTI scans of the spinal cor...
KEY FINDING: The rFOV-PS-EPI method allows DTI measurement at the level of the metal hardware, whereas rFOV-SS-EPI is useful when the metal is approximately 20 mm away.
Diagnostics, 2023 • April 14, 2023
This paper proposes a novel augmented model for spinal cord segmentation and tumor classification using deep nets to overcome this limitation. Multiple Mask Regional Convolutional Neural Networks (MRC...
KEY FINDING: The proposed model achieved a 14.5% better segmentation efficiency compared to state-of-the-art models.
Neuroradiology, 2023 • June 30, 2023
This study introduces a fully automated method for quantifying T2 signal intensity (T2-SI) in the spinal cord to improve the objective diagnosis of degenerative cervical myelopathy (DCM). The automate...
KEY FINDING: The T2-SI curves of patients with T2 hyperintensities showed significantly higher signal variability compared to matched healthy controls, as reflected by standard deviation and range.