Objective: To evaluate the value of CT and MRI in the diagnosis of avascular necrosis of the vertebral body (ANV).
Methods: Twelve ANV patients were retrospectively analysed by their medical history, clinic manifestation, CT and MRI. Twelve AVN patients were treated with percutaneous vertebroplasty (PVP). The pain level of each patient was assessed, both before and after the procedure, using a visual analogue scale (VAS).
Results: All the patients had ANV in the thoracolumbar spine. The intravertebral vaccum phenomenon (VP), with gas or fluid-like collection, was seen on computed tomographic (CT) images and magnetic resonance images (MRI). In the early stages, the VP zone was characterized by fluid-like collection, and was low intensity on T1, high intensity on T2. In the latter stages, the margin of VP zone had sclerotic change on CT scan. VAS score decreased from preoperative (9.08 +/- 0.76) to (2.33 +/- 1.43) at 3 days after PVP.
Conclusion: ANV must be considered as a possible diagnosis of VP secondary to osteoporotic vertebral fractures. Both CT and MRI could provide reliable diagnostic proof for ANV. PVP is proved to be an effective and safe procedure for the treatment of ANV, and could provid quick pain relief.
Download full-text PDF |
Source |
|---|
Publication Analysis
Top Keywords
Similar Publications
Optimized Synthetic Correlated Diffusion Imaging for Improving Breast Cancer Tumor Delineation.
Sensors (Basel)
December 2024
Department of Systems Design Engineering, University of Waterloo, Waterloo, ON N2L 3G1, Canada.
Breast cancer is a significant cause of death from cancer in women globally, highlighting the need for improved diagnostic imaging to enhance patient outcomes. Accurate tumor identification is essential for diagnosis, treatment, and monitoring, emphasizing the importance of advanced imaging technologies that provide detailed views of tumor characteristics and disease. Recently, a new imaging modality named synthetic correlated diffusion imaging (CDI) has been showing promise for enhanced prostate cancer delineation when compared to existing MRI imaging modalities.
View Article and Find Full Text PDFMachine Learning Recognizes Stages of Parkinson's Disease Using Magnetic Resonance Imaging.
Sensors (Basel)
December 2024
Faculty of Computer Science, Polish-Japanese Academy of Information Technology, 86 Koszykowa Street, 02-008 Warsaw, Poland.
Neurodegenerative diseases (NDs), such as Alzheimer's disease (AD) and Parkinson's disease (PD), are debilitating conditions that affect millions worldwide, and the number of cases is expected to rise significantly in the coming years. Because early detection is crucial for effective intervention strategies, this study investigates whether the structural analysis of selected brain regions, including volumes and their spatial relationships obtained from regular T1-weighted MRI scans ( = 168, PPMI database), can model stages of PD using standard machine learning (ML) techniques. Thus, diverse ML models, including Logistic Regression, Random Forest, Support Vector Classifier, and Rough Sets, were trained and evaluated.
View Article and Find Full Text PDFMR Elastography Using the Gravitational Transducer.
Sensors (Basel)
December 2024
Research Department of Imaging Physics and Engineering, School of Biomedical Engineering and Imaging Sciences, King's College London, London WC2R 2LS, UK.
MR elastography is a non-invasive imaging technique that provides quantitative maps of tissue biomechanical properties, i.e., elasticity and viscosity.
View Article and Find Full Text PDFAssociations of Coffee and Tea Consumption on Neural Network Connectivity: Unveiling the Role of Genetic Factors in Alzheimer's Disease Risk.
Nutrients
December 2024
Department of Neurology, Rutgers University, New Brunswick, NJ 08854, USA.
Background: Coffee and tea are widely consumed beverages, but their long-term effects on cognitive function and aging remain largely unexplored. Lifestyle interventions, particularly dietary habits, offer promising strategies for enhancing cognitive performance and preventing cognitive decline.
Methods: This study utilized data from the UK Biobank cohort ( = 12,025) to examine the associations between filtered coffee, green tea, and standard tea consumption and neural network functional connectivity across seven resting-state networks.
Dietary N-6 Polyunsaturated Fatty Acid Intake and Brain Health in Middle-Aged and Elderly Adults.
Nutrients
December 2024
School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China.
Background: Dietary intake of polyunsaturated fatty acids (PUFA) plays a significant role in the onset and progression of neurodegenerative diseases. Since the neuroprotective effects of n-3 PUFA have been widely validated, the role of n-6 PUFA remains debated, with their underlying mechanisms still not fully understood.
Methods: In this study, 169,295 participants from the UK Biobank were included to analyze the associations between dietary n-6 PUFA intake and neurodegenerative diseases using Cox regression models with full adjustments for potential confounders.
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!