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JBJS Case Connect
January 2025
Department of Orthopaedic Surgery, Koseikai Hospital, Toyohashi City, Aichi, Japan.
Case: We report a case of coccygeal dislocation complicated by defecatory dysfunction and discuss its treatment and mechanisms. A 58-year-old man was presented with coccygeal pain and defecatory dysfunction after sustaining an injury from a 1-m fall. Following diagnosis, a combined approach involving surgical treatment and physiotherapy was adopted, resulting in early symptom improvement and favorable long-term outcomes.
View Article and Find Full Text PDFPLoS One
January 2025
Centre for Neuroscience Studies, Queen's University, Kingston, Ontario, Canada.
Altered neural signaling in fibromyalgia syndrome (FM) was investigated with functional magnetic resonance imaging (fMRI). We employed a novel fMRI network analysis method, Structural and Physiological Modeling (SAPM), which provides more detailed information than previous methods. The study involved brain fMRI data from participants with FM (N = 22) and a control group (HC, N = 18), acquired during a noxious stimulation paradigm.
View Article and Find Full Text PDFPLoS One
January 2025
Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China.
Background: Assessing various types of dysfunction in cerebral palsy is a key factor in the treatment and rehabilitation of patients. The objective of this study was to use meta-analysis and systematic review to identify the specific white matter lesions and DTI metrics strongly associated with various types of dysfunction in cerebral palsy.
Methods: We conducted a literature search of PubMed, Embase, Cochrane Library and Web of Science databases to identify trials published that had evaluated the correlation between DTI metrics in sensorimotor pathways and function scores in cerebral palsy.
JNCI Cancer Spectr
January 2025
Exact Sciences Corporation, Madison, WI, United States.
Background: Multi-cancer early detection (MCED) tests may expand cancer screening. Characterizing diagnostic resolution approaches following positive MCED tests is critical. Two trials employed distinct resolution approaches: a molecular signal to predict tissue of origin (TOO) and an imaging-based diagnostic strategy.
View Article and Find Full Text PDFTransl Vis Sci Technol
January 2025
Glaucoma Service, Wills Eye Hospital, Philadelphia, PA, USA.
Purpose: The integration of artificial intelligence (AI), particularly deep learning (DL), with optical coherence tomography (OCT) offers significant opportunities in the diagnosis and management of glaucoma. This article explores the application of various DL models in enhancing OCT capabilities and addresses the challenges associated with their clinical implementation.
Methods: A review of articles utilizing DL models was conducted, including convolutional neural networks (CNNs), recurrent neural networks (RNNs), generative adversarial networks (GANs), autoencoders, and large language models (LLMs).
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