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Semi-Supervised Learning Allows for Improved Segmentation With Reduced Annotations of Brain Metastases Using Multicenter MRI Data.
J Magn Reson Imaging
January 2025
Department of Radiology, Ålesund Hospital, Møre og Romsdal Hospital Trust, Ålesund, Norway.
Background: Deep learning-based segmentation of brain metastases relies on large amounts of fully annotated data by domain experts. Semi-supervised learning offers potential efficient methods to improve model performance without excessive annotation burden.
Purpose: This work tests the viability of semi-supervision for brain metastases segmentation.
Associations of Central Arterial Stiffness With Brain White Matter Integrity and Gray Matter Volume in MRI Across the Adult Lifespan.
J Magn Reson Imaging
January 2025
Department of Neurology, University of Texas Southwestern Medical Center, Dallas, Texas, USA.
Background: Central arterial stiffening is associated with brain white matter (WM) damage and gray matter (GM) volume loss in older adults, but little is known about this association from an adult lifespan perspective.
Purpose: To investigate the associations of central arterial stiffness with WM microstructural organization, WM lesion load, cortical thickness, and GM volume in healthy adults across the lifespan.
Study Type: This is a cross-sectional study.
Visualizing Preosteoarthritis: Updates on UTE-Based Compositional MRI and Deep Learning Algorithms.
J Magn Reson Imaging
January 2025
Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Osteoarthritis (OA) is heterogeneous and involves structural changes in the whole joint, such as cartilage, meniscus/labrum, ligaments, and tendons, mainly with short T2 relaxation times. Detecting OA before the onset of irreversible changes is crucial for early proactive management and limit growing disease burden. The more recent advanced quantitative imaging techniques and deep learning (DL) algorithms in musculoskeletal imaging have shown great potential for visualizing "pre-OA.
View Article and Find Full Text PDFRepurposing Licensed Drugs with Activity Against Epstein-Barr Virus for Treatment of Multiple Sclerosis: A Systematic Approach.
CNS Drugs
January 2025
School of Medicine and Dentistry, Gold Coast Campus, Griffith University, Southport, QLD, 4222, Australia.
Background: Epstein-Barr virus (EBV) is implicated as a necessary factor in the development of multiple sclerosis (MS) and may also be a driver of disease activity. Although it is not clear whether ongoing viral replication is the driver for MS pathology, MS researchers have considered the prospect of using drugs with potential efficacy against EBV in the treatment of MS. We have undertaken scientific and lived experience expert panel reviews to shortlist existing licensed therapies that could be used in later-stage clinical trials in MS.
View Article and Find Full Text PDFA Delphi study on health literacy competencies for health professionals.
BMC Med Educ
January 2025
Center for Health Literacy, Careum Foundation, Zurich, 8032, Switzerland.
Background: Health professionals play a key role in promoting health literacy, as they continue to be one of the main points of contact and most trusted source of information for healthcare users on questions and concerns regarding health and disease. To adequately support individuals in dealing with health information and services and to strengthen health literacy, health professionals need a corresponding set of knowledge, skills, and attitudes, hence they need a wide range of health literacy competencies. Despite their crucial role in guiding and supporting patients and their relatives in terms of health-related information and services, in-depth studies on health literacy competencies of health professionals are still scarce.
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