Browse the latest research summaries in the field of medical imaging for spinal cord injury patients and caregivers.
Showing 131-140 of 231 results
BioMed Research International, 2021 • January 27, 2021
This study explored the feasibility of using low-intensity pulsed ultrasound (LIPUS) to treat fracture nonunion while monitoring for heterotopic ossification (HO) using ultrasonography. The results de...
KEY FINDING: LIPUS therapy facilitated fracture repair in a patient with nonunion, as evidenced by ultrasound and radiographic outcomes showing callus formation and a blurred fracture line.
Neural Plasticity, 2021 • February 2, 2021
This study used VBM and graph theoretical network analyses to investigate alterations in GMV and GMV-based SCNs in complete thoracic SCI patients within one postinjury year, and partial correlation an...
KEY FINDING: SCI patients showed reduced gray matter volume in the left middle frontal cortex, right superior orbital frontal cortex (OFC), and left inferior OFC.
Scientific Reports, 2021 • March 15, 2021
This study introduces Orientation Selective Epidural Spinal Cord Stimulation (OS-ESCS) in rats and uses fMRI to monitor brain activations during stimulation of spinal segments S1 and L2. The findings ...
KEY FINDING: OS-ESCS modulates spinal-brain connectomes within the CNS, as demonstrated by brain activations during stimulation of S1 and L2 spinal segments.
Neural Plasticity, 2021 • April 13, 2021
This study investigates the effect of LIFU on neuropathic pain (NP) and the expression of potassium chloride cotransporter 2 (KCC2) in the spinal cords of rats with peripheral nerve injury (PNI). The ...
KEY FINDING: LIFU stimulation alleviated mechanical allodynia in PNI model rats, as indicated by increased PWT50 values after 3 weeks of LIFU treatment compared to the LIFU− group.
Journal of Medical Ultrasound, 2022 • July 1, 2022
This study investigated the acute ultrasonographic changes in lower extremity muscle structure in patients with motor complete spinal cord injury (SCI). The researchers found a decrease in the thickne...
KEY FINDING: There was a significant decrease in rectus femoris muscle thickness over the 4-week study period.
NeuroImage: Clinical, 2023 • February 1, 2023
This study tracked the spatiotemporal dynamics of remote anterograde and retrograde spinal tract degeneration in the upper cervical cord following SCI over two years utilizing quantitative MRI. Linear...
KEY FINDING: Retrograde neurodegeneration in the CST develops over time, forming a gradient towards lower cervical levels, particularly in tetraplegics.
NeuroImage: Clinical, 2023 • March 10, 2023
This systematic review and meta-analysis investigated spinal cord atrophy following spinal cord injury (SCI) using MRI measurements of the cervical spinal cord cross-sectional area (cSC CSA). The stud...
KEY FINDING: The meta-analysis revealed a significant reduction in cSC CSA in individuals with SCI compared to controls, with a standardized mean difference of -1.48, indicating substantial atrophy.
Neurosurgery, 2021 • September 1, 2021
This review explores the potential of ultrasound technology for diagnostic and therapeutic interventions in traumatic spinal cord injury (SCI). The authors discuss the fundamentals of ultrasound, incl...
KEY FINDING: Ultrasound can enable real-time In Vivo spinal cord monitoring with high spatiotemporal resolution, overcoming limitations of existing modalities.
Scientific Reports, 2021 • May 12, 2021
This study presents the first MRI atlas of the juvenile axolotl brain, comprising 82 and 64 regions of interest, segmented based on embryological origin and hemispheric division. The MRI atlas allows ...
KEY FINDING: The study successfully created an MRI atlas of the axolotl brain, delineating 82 regions of interest (ROIs) and a simplified version with 64 ROIs.
PLOS ONE, 2019 • May 9, 2019
This study presents a novel automatic 3-D approach for the volumetric segmentation and quantitative assessment of thigh MRI volumes in individuals with chronic SCI and non-disabled individuals. The pr...
KEY FINDING: The proposed automatic segmentation method achieved an overall accuracy of 0.93±0.06 for adipose tissue and muscle compartments segmentation based on Dice Similarity Coefficient.