Automatic Knee Osteoarthritis Diagnosis from Plain Radiographs: A Deep Learning-Based Approach [PDF]
arXiv, 2017 Knee osteoarthritis (OA) is the most common musculoskeletal disorder. OA diagnosis is currently conducted by assessing symptoms and evaluating plain radiographs, but this process suffers from subjectivity. In this study, we present a new transparent computer-aided diagnosis method based on the Deep Siamese Convolutional Neural Network to automatically ...
arxiv
Tramadol for osteoarthritis [PDF]
Cochrane Database of Systematic Reviews, 2019 Tramadol is often prescribed to treat pain and is associated physical disability in osteoarthritis (OA). Due to the pharmacologic mechanism of tramadol, it may lead to fewer associated adverse effects (i.e. gastrointestinal bleeding or renal problems) compared to non-steroidal anti-inflammatory drugs (NSAIDs).
Anne W S Rutjes +11 more
openaire +4 more sources
Arthroscopic washout of the knee: a procedure in decline. [PDF]
, 2014 BACKGROUND: Osteoarthritis (OA) of the knee is a chronic, progressive condition which often requires surgical intervention. The evidence for the benefits of arthroscopic debridement or washout for knee OA is weak and arthroscopy is currently only ...
American Academy of Orthopaedic Surgeons +28 more
core +1 more source
Bone Density and Texture from Minimally Post-Processed Knee Radiographs in Subjects with Knee Osteoarthritis [PDF]
arXiv, 2019 Plain radiography is the most common modality to assess the stage of osteoarthritis. Our aims were to assess the relationship of radiography-based bone density and texture between radiographs with minimal and clinical post-processing, and to compare the differences in bone characteristics between controls and subjects with knee osteoarthritis or medial
arxiv
Confidence-Driven Deep Learning Framework for Early Detection of Knee Osteoarthritis [PDF]
arXiv, 2023 Knee Osteoarthritis (KOA) is a prevalent musculoskeletal disorder that severely impacts mobility and quality of life, particularly among older adults. Its diagnosis often relies on subjective assessments using the Kellgren-Lawrence (KL) grading system, leading to variability in clinical evaluations.
arxiv
Discerning the spatio-temporal disease patterns of surgically induced OA mouse models [PDF]
, 2019 Osteoarthritis (OA) is the most common cause of disability in ageing societies, with no effective therapies available to date. Two preclinical models are widely used to validate novel OA interventions (MCL-MM and DMM).
Becker, Jessica +8 more
core +3 more sources
Automatic Grading of Individual Knee Osteoarthritis Features in Plain Radiographs using Deep Convolutional Neural Networks [PDF]
arXiv, 2019 Knee osteoarthritis (OA) is the most common musculoskeletal disease in the world. In primary healthcare, knee OA is diagnosed using clinical examination and radiographic assessment. Osteoarthritis Research Society International (OARSI) atlas of OA radiographic features allows to perform independent assessment of knee osteophytes, joint space narrowing ...
arxiv
Identification of clinical phenotypes in knee osteoarthritis: a systematic review of the literature [PDF]
, 2016 Background: Knee Osteoarthritis (KOA) is a heterogeneous pathology characterized by a complex and multifactorial nature. It has been hypothesised that these differences are due to the existence of underlying phenotypes representing different mechanisms ...
Allan, R. +4 more
core +3 more sources
Effect of alendronate on post-traumatic osteoarthritis induced by anterior cruciate ligament rupture in mice. [PDF]
, 2015 IntroductionPrevious studies in animal models of osteoarthritis suggest that alendronate (ALN) has antiresorptive and chondroprotective effects, and can reduce osteophyte formation.
Anderson, Matthew J +6 more
core +1 more source