Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10208092 | PMC |
| http://dx.doi.org/10.1161/CIRCEP.122.011528 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Metabolic reprogramming is a hallmark of cancer, enabling tumor cells to adapt to and exploit their microenvironment for sustained growth. The liver is a common site of metastasis, but the interactions between tumor cells and hepatocytes remain poorly understood. In the context of liver metastasis, these interactions play a crucial role in promoting tumor survival and progression.
View Article and Find Full Text PDFAssessment of peroneal tendon lesions using 2-dimensional and 3-dimensional isotropic magnetic resonance imaging with surgical correlation.
J Foot Ankle Surg
December 2024
Department of Radiology, University of Texas at Southwestern Medical Center, Dallas, USA.
Accurate diagnoses of peroneal pathologies remains a challenge due to limitations of conventional 2D (dimensional) imaging, which can impact long-term patient outcomes. This study evaluates MRI accuracy and inter-reader reliability of peroneal compartment pathology for 2D and 3D MRI. A consecutive series of patients who underwent peroneal compartment surgery with preoperative 1.
View Article and Find Full Text PDFUltrahigh-resolution 7-Tesla anatomic magnetic resonance imaging and diffusion tensor imaging of formalin-fixed human brainstem-cerebellum complex.
Front Hum Neurosci
November 2024
The Loyal and Edith Davis Neurosurgical Research Laboratory, Department of Neurosurgery, Barrow Neurological Institute, St. Joseph's Hospital and Medical Center, Phoenix, AZ, United States.
Introduction: Brain cross-sectional images, tractography, and segmentation are valuable resources for neuroanatomical education and research but are also crucial for neurosurgical planning that may improve outcomes in cerebellar and brainstem interventions. Although ultrahigh-resolution 7-Tesla (7T) magnetic resonance imaging (MRI) and diffusion tensor imaging (DTI) reveal such structural brain details in living or fresh unpreserved brain tissue, imaging standard formalin-preserved cadaveric brain specimens often used for neurosurgical anatomic studies has proven difficult. This study sought to develop a practical protocol to provide anatomic information and tractography results of an human brainstem-cerebellum specimen.
View Article and Find Full Text PDFRapid-printed Three-dimensional Models for Craniomaxillofacial Trauma.
Plast Reconstr Surg Glob Open
November 2024
Division of Plastic, Reconstructive, and Cosmetic Surgery, Department of Surgery, University of Illinois Chicago, Chicago, Ill.
Article Synopsis
- Advances in surgical planning and 3D printing are improving craniomaxillofacial surgery by allowing better visualization of patient anatomy, but lengthy print times hinder acute trauma care.
- Researchers optimized 3D printing variables, such as resolution and model orientation, to enhance efficiency while maintaining quality, testing this on mandibular and midface fracture models.
- The optimized printing process reduced print times from over 7 hours to under 1 hour, demonstrating that adjustments in size, resolution, and position can enable quicker and effective surgical planning without compromising model accuracy.
FCSwinU: Fourier Convolutions and Swin Transformer UNet for Hyperspectral and Multispectral Image Fusion.
Sensors (Basel)
October 2024
College of Resource Environment and Tourism, Capital Normal University, No. 105, North Road of West 3rd Ring, Beijing 100048, China.
The fusion of low-resolution hyperspectral images (LR-HSI) with high-resolution multispectral images (HR-MSI) provides a cost-effective approach to obtaining high-resolution hyperspectral images (HR-HSI). Existing methods primarily based on convolutional neural networks (CNNs) struggle to capture global features and do not adequately address the significant scale and spectral resolution differences between LR-HSI and HR-MSI. To tackle these challenges, our novel FCSwinU network leverages the spectral fast Fourier convolution (SFFC) module for spectral feature extraction and utilizes the Swin Transformer's self-attention mechanism for multi-scale global feature fusion.
View Article and Find Full Text PDFWant 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!