Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4401969 | PMC |
http://dx.doi.org/10.1136/bcr-2014-209197 | DOI Listing |
Orthop Surg
January 2025
Spine Surgery Center, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Classification systems for Adolescent Idiopathic Scoliosis (AIS) play an important role in guiding both surgical planning and conservative treatments. Traditional 2D classification systems, such as the Lenke, King and Lehnert-Schroth classifications, have been widely used for the clinical diagnosis and treatment of scoliosis. However, with the growing understanding of the three-dimensional nature of scoliosis and advancements in 3D reconstruction technologies, 3D classification systems are gaining increasing attention.
View Article and Find Full Text PDFMagn Reson Med
January 2025
Institute of Diagnostic and Interventional Radiology, Hannover Medical School, Hannover, Germany.
Purpose: Pulmonary MRI faces challenges due to low proton density, rapid transverse magnetization decay, and cardiac and respiratory motion. The fermat-looped orthogonally encoded trajectories (FLORET) sequence addresses these issues with high sampling efficiency, strong signal, and motion robustness, but has not yet been applied to phase-resolved functional lung (PREFUL) MRI-a contrast-free method for assessing pulmonary ventilation during free breathing. This study aims to develop a reconstruction pipeline for FLORET UTE, enhancing spatial resolution for three-dimensional (3D) PREFUL ventilation analysis.
View Article and Find Full Text PDFBMC Nurs
January 2025
Psychiatric and Mental Health Nursing, Faculty of Nursing, Mansoura University, Mansoura, Egypt.
Background: Nursing students represent a unique group that faces specific stressors. One of these stressors is social appearance anxiety, which can adversely affect the quality of life. Personality traits are strong predictors of coping with stress and anxiety.
View Article and Find Full Text PDFSci Rep
January 2025
School of Computer Science, Guangdong Polytechnic Normal University, Guangzhou, Guangdong, China.
Knowledge-aware recommendation systems often face challenges owing to sparse supervision signals and redundant entity relations, which can diminish the advantages of utilizing knowledge graphs for enhancing recommendation performance. To tackle these challenges, we propose a novel recommendation model named Dual-Intent-View Contrastive Learning network (DIVCL), inspired by recent advancements in contrastive and intent learning. DIVCL employs a dual-view representation learning approach using Graph Neural Networks (GNNs), consisting of two distinct views: a local view based on the user-item interaction graph and a global view based on the user-item-entity knowledge graph.
View Article and Find Full Text PDFEur J Obstet Gynecol Reprod Biol
January 2025
Medical Oncology Department, Marqués de Valdecilla University Hospital, IDIVAL, Cantabria, Spain.
Objectives: To assess the recurrence rate and quality of life (QOL) in women with a history of borderline ovarian tumours (BOTs) based on the type of surgery (conservative vs non-conservative) in Spain.
Study Design: A retrospective analysis was conducted of 85 women treated for BOTs between 2007 and 2023 at two hospitals. QOL questionnaires were administered face-to-face to eligible patients.
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!