Diagnostic Modality in Spine Disease: A Review [PDF]
Asian Spine Journal, 2020 Spine diseases are common and exhibit several causes, including degeneration, trauma, congenital issues, and other specific factors. Most people experience a variety of symptoms of spine diseases during their lifetime that are occasionally managed with ...
Gang-Un Kim +3 more
doaj +1 more source
Application of platelet-rich plasma in spinal surgery
Frontiers in Endocrinology, 2023 With the aging of the population and changes in lifestyle, the incidence of spine-related diseases is increasing, which has become a major global public health problem; this results in a huge economic burden on the family and society. Spinal diseases and
Hengyi Wang +4 more
doaj +1 more source
Diagnostic Technology for Spine Pathology [PDF]
Asian Spine Journal, 2022 Diagnostic techniques for spinal pathologies have been developed in accordance with advances in technology. Accurate diagnosis of spinal pathology is essential for appropriate management of spinal diseases.
Gang-Un Kim +3 more
doaj +1 more source
Clinical reasoning in canine spinal disease: what combination of clinical information is useful? [PDF]
, 2015 Spinal disease in dogs is commonly encountered in veterinary practice. Numerous diseases may cause similar clinical signs and presenting histories. The study objective was to use statistical models to identify combinations of discrete parameters from the
ABRAMSON +36 more
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Psychometric Properties of the Scoliosis Research Society Questionnaire (Version 22r) Domains Among Adults With Spinal Deformity: A Rasch Measurement Theory Analysis [PDF]
Neurospine, 2022 Objective Adult spinal deformity (ASD) have lower health-related quality of life (HRQoL) compared to the general population. Applying Rasch measurement theory (RMT), this study tested the revised Scoliosis Research Society-22 (SRS-22r) HRQoL instrument ...
Kati Kyrölä +5 more
doaj +1 more source
Reproducibility and Evolution of Diffusion MRI Measurements within the Cervical Spinal Cord in Multiple Sclerosis [PDF]
, 2021 In Multiple Sclerosis (MS), there is a large discrepancy between the clinical observations and how the pathology is exhibited on brain images, this is known as the clinical-radiological paradox (CRP). One of the hypotheses is that the clinical deficit may be more related to the spinal cord damage than the number or location of lesions in the brain ...
arxiv +1 more source
Clinical presentation, diagnostic findings and outcome of dogs with presumptive spinal-only meningoencephalomyelitis of unknown origin [PDF]
, 2017 Objectives: To summarise clinical presentation, diagnostic findings and long-term outcome for dogs clinically diagnosed with meningoencephalomyelitis of unknown origin affecting the spinal cord alone.
Cardy +13 more
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Mutant UBQLN2P497H in motor neurons leads to ALS-like phenotypes and defective autophagy in rats [PDF]
, 2018 Mutations in ubiquilin2 (UBQLN2) have been linked to abnormal protein aggregation in amyotrophic lateral sclerosis (ALS). The mechanisms underlying UBQLN2-related neurodegenerative diseases remain unclear.
Chen, Tianhong +4 more
core +2 more sources
Towards contrast-agnostic soft segmentation of the spinal cord [PDF]
, 2023 Spinal cord segmentation is clinically relevant and is notably used to compute spinal cord cross-sectional area (CSA) for the diagnosis and monitoring of cord compression or neurodegenerative diseases such as multiple sclerosis. While several semi and automatic methods exist, one key limitation remains: the segmentation depends on the MRI contrast ...
arxiv +1 more source
Image-Guided Navigation of a Robotic Ultrasound Probe for Autonomous Spinal Sonography Using a Shadow-aware Dual-Agent Framework [PDF]
IEEE Transactions on Medical Robotics and Bionics (2021), 2021 Ultrasound (US) imaging is commonly used to assist in the diagnosis and interventions of spine diseases, while the standardized US acquisitions performed by manually operating the probe require substantial experience and training of sonographers. In this work, we propose a novel dual-agent framework that integrates a reinforcement learning (RL) agent ...
arxiv +1 more source