Results 71 to 80 of about 261,909 (208)
Quantifying fluid retention following modern pain management in TKA: an observational study
Background Body fluid retention after major surgeries, including total knee arthroplasty (TKA), is well documented in the literature. Currently, multimodal pain control protocols consisting of several medications together with early discharge protocol ...
Parkpoom Somrak+6 more
doaj +1 more source
Assessing Knee OA Severity with CNN attention-based end-to-end architectures [PDF]
This work proposes a novel end-to-end convolutional neural network (CNN) architecture to automatically quantify the severity of knee osteoarthritis (OA) using X-Ray images, which incorporates trainable attention modules acting as unsupervised fine-grained detectors of the region of interest (ROI).
arxiv
Femoral ROIs and Entropy for Texture-based Detection of Osteoarthritis from High-Resolution Knee Radiographs [PDF]
The relationship between knee osteoarthritis progression and changes in tibial bone structure has long been recognized and various texture descriptors have been proposed to detect early osteoarthritis (OA) from radiographs. This work aims to investigate (1) femoral textures as an OA indicator and (2) the potential of entropy as a computationally ...
arxiv
The pathogenesis of osteoarthritis is unclear. The authors show that estrogen-related receptor gamma is upregulated in cartilage from patients and mouse models, where it drives production of matrix-degrading MMPs in chondrocytes, and that its ...
Young-Ok Son+10 more
doaj +1 more source
Diagnosis of Knee Osteoarthritis Using Bioimpedance and Deep Learning [PDF]
Diagnosing knee osteoarthritis (OA) early is crucial for managing symptoms and preventing further joint damage, ultimately improving patient outcomes and quality of life. In this paper, a bioimpedance-based diagnostic tool that combines precise hardware and deep learning for effective non-invasive diagnosis is proposed.
arxiv
Automatic Detection of Knee Joints and Quantification of Knee Osteoarthritis Severity using Convolutional Neural Networks [PDF]
This paper introduces a new approach to automatically quantify the severity of knee OA using X-ray images. Automatically quantifying knee OA severity involves two steps: first, automatically localizing the knee joints; next, classifying the localized knee joint images.
arxiv
Heberden's nodes: concordant osteoarthritis of the fingers in identical twins [PDF]
Robert M. Stecher
openalex +1 more source
Purpose: Up to 30% of spine facet osteoarthritis patients with lumbar spinal stenosis (SF-OA + LSS) have little to no improvement in their pain after surgery.
Starlee Lively+11 more
doaj
Excision of the Femoral Head and Neck in Cases of Ankylosis and Osteoarthritis of the Hips [PDF]
J. S. Batchelor
openalex +1 more source
Ageing is a complex process of accumulation of molecular, cellular, and organ damage, leading to loss of function and increased vulnerability to disease and death, the rate and extent of which varies among individuals. Osteoarthritis (OA) is not only the most common joint disease, but is also one of the major causes of disability in people aged >65 ...
Valdes, Ana M., Stocks, Joanne
openaire +2 more sources