Browse the latest research summaries in the field of medical imaging for spinal cord injury patients and caregivers.
Showing 201-210 of 231 results
BMC Musculoskeletal Disorders, 2022 • June 3, 2022
This study compared two methods (GVR-A and GVR-B) for evaluating spinal cord hyperechogenicity intensity using intraoperative ultrasound (IOUS) in patients with degenerative cervical myelopathy (DCM) ...
KEY FINDING: GVR-B has better repeatability of gray value measurement, smaller relative standard deviation (RSD%) compared with GVR-A.
Cancers, 2022 • July 23, 2022
The purpose of this study was to retrospectively analyze the diagnostic accuracy of magnetic resonance imaging (MRI) examinations of the scrotum in comparison with standard ultrasound (US) and histopa...
KEY FINDING: MRI shows good sensitivity and specificity for the estimation of testicular tumors in this collective.
BMC Musculoskeletal Disorders, 2022 • September 6, 2022
The study evaluated cartilage measurements using T2 mapping and R2* sequences in monkeys with normal and reduced knee ROM to determine which sequence is better at detecting microstructural cartilage c...
KEY FINDING: MRI-R2* sequence is superior to T2 mapping in the detection of microstructural cartilage changes in knees with limited ROM.
Brain and Spine, 2022 • December 29, 2021
This study comprehensively reviews experimental in vivo imaging setups used in SCI research to provide an up-to-date overview for researchers aiming to advance knowledge of spinal cord regeneration an...
KEY FINDING: Magnetic Resonance Imaging (MRI), including functional MRI (fMRI) and microstructural MRI, is used for morphological assessment, lesion volumetry, and evaluation of the blood-spinal-cord-barrier integrity.
J Extracell Vesicles, 2022 • November 7, 2022
This research introduces EVAnalyzer, a new open-source plugin for Fiji designed for automated single vesicle quantification from fluorescence microscopy images. The study establishes a robust procedur...
KEY FINDING: EVAnalyzer enables the automated and quantitative analysis of single vesicles from imaging data, using a robust protocol for capture, labeling, and fluorescent imaging of EVs.
Healthcare, 2022 • December 7, 2022
The study evaluated the necessity of follow-up chest X-rays (CXRs) in patients with minor chest trauma and fewer than three rib fractures who showed no initial respiratory distress. The results indica...
KEY FINDING: Only 1.6% of patients with minor chest trauma and fewer than three rib fractures required delayed intervention (tube thoracostomy) based on follow-up CXRs.
Scientific Reports, 2023 • September 26, 2023
This study investigates the feasibility of using ultrasound elastography (USE) to assess spinal cord injury (SCI) in a rabbit model in vivo. The researchers compared USE measurements with histological...
KEY FINDING: USE strain ratios were significantly higher in paralyzed rabbits compared to non-paralyzed rabbits, indicating differences in spinal cord mechanical properties.
Bioengineering, 2023 • September 10, 2023
The study developed deep learning models to automate the detection and measurement of the dural sack cross-sectional area (DSCA) in lumbar spine MRI. The MultiResUNet model achieved the highest accura...
KEY FINDING: The MultiResUNet model showed the best performance, with high accuracy in both initial and external validation datasets.
PLOS ONE, 2023 • October 12, 2023
This study presents a deep learning approach for the fully automatic segmentation of vessels in mice brains using a shallow U-Net model trained on a small μMRI reference dataset. The proposed methodol...
KEY FINDING: Deep learning architectures, specifically a shallow 3D U-Net model, are applicable for segmenting mice brain vessels using small μMRI reference datasets.
J. Pers. Med., 2023 • November 24, 2023
This study explores the use of a Generative Adversarial Network (GAN) to reconstruct 3D spinal vertebrae structures from synthetic biplanar X-ray images. The X2CT-GAN model was applied, focusing on an...
KEY FINDING: The GAN-based method can effectively reconstruct 3D spinal vertebrae structures from biplanar X-rays.