Active clinical trials for "Knee Injuries"

There is no study to explore the prediction of knee diseases using kinematic parameters of knee during gait. The aim of this study is to explore the possibility of predicting knee diseases by gait parameters.

The purpose of this study is to assess both osteoarthritis and other pathological knee conditions from the combination of signals that are known to provide information on the knee joint.

The purpose of this study is to clarify the potential of intra-articular ultrasound imaging, non-invasive ultrasound imaging, quantitative MRI imaging, contrast-enhanced CT imaging and arthroscopy for diagnostics of knee osteoarthritis. All methods will be cross-correlated and compared with the arthroscopic findings.

The purpose of this study is to use better magnetic resonance imaging (MRI) techniques to examine the knee and the bony and soft tissue changes so as to better predict the progression of osteoarthritis and acute knee injuries.

This study is to determine the relevancy of clinical scales for outcome measures as compared to flexion angle and other gait measures. Clinical outcomes measures in the form of the Knee Society Score and the WOMAC Score will be obtained from patients. Gait data will also be obtained from total knee replacement (TKR) patients at pre-operative and post-operative times. Gait data will be measured on unaffected normal controls as a second baseline. The hypothesis is that the subjects clinical outcome measures do not accurately reflect gait dependent outcomes amd functional performance of the total knee replacement.

According to many researches, mesenchymal stem cells (MSC) isolated from synovial membrane and infrapatellar fat pad have higher ex vivo proliferation capacity, multipotency and ability to undergo chondrogenesis. Based on this concept, the investigators plan to get two removed tissues (synovial membrane and infrapatellar fat pad) from patients who have an operation of TKR (Total Knee Replacement). The investigators are going to isolate and expand MSC from these two tissues respectively, and then compare their characterization and potential for clinical application. In the other hand, the investigators plan to build techniques and procedures which comply with "Good Tissue Practices (GTP)".

This observational study seeks to identify and validate novel soluble biomarkers (within blood, synovial fluid, urine) which contribute to the prognostic assessment of an individual with an acute knee injury, a group of individuals in which ~50% will progress to symptomatic radiographic knee osteoarthritis (OA). 150 individuals will be followed over 5 years with clinical assessment including validated questionnaires, biological sampling and radiological imaging (X ray, magnetic resonance imaging (MRI)).

Evaluation of clinical results and postoperative laxity after single-stage reconstruction of multiligamentous lesions of the knee. Comparison of two types of transplant: allograft versus autograft. There is currently little data in the clinical outcome literature after allograft reconstruction. There is one study reporting postoperative laxity assessed by dynamic radiography in the four planes (anterior, posterior, varus, valgus). No study compares postoperative laxity after allograft versus autograft reconstruction.

Knee joint is the most common part of sports injury. MRI is a powerful tool to diagnose knee joint injury. However, it takes a long time to read the film, needs a lot, and some hidden injuries have a high rate of missed diagnosis. The emerging deep learning technology can establish automatic recognition model through large samples. A large sample of knee joint MRI was collected retrospectively to train the deep learning model of knee joint MRI, and the sensitivity and specificity of the deep learning model were verified in multi center. Depending on the clinical needs, the deep learning model annotation system is established. A large number of knee MRI were obtained and labeled. According to the knee joint MRI training depth learning model, and iterative optimization, the final version is formed. Multi center validation was carried out. Continuous operation records and corresponding preoperative knee MRI were obtained from multiple hospitals. The sensitivity and specificity of the model were calculated with operation records as the gold standard. At the same time, an expert team composed of senior radiologists and sports medicine doctors was organized to read the films. The sensitivity and specificity of manual reading and AI reading were compared to prove the superiority of AI reading. This study can improve the efficiency of clinical MRI film reading, reduce the workload of doctors, improve the film reading level of grass-roots hospitals, promote the development of the discipline, and has good social benefits and market prospects.

Introduction This study evaluates the effect on glucose, lipid and bone metabolism following knee orthopedic procedures in healthy and physically active individuals. The sedentary rehabilitation period following these procedures may impact negatively on glucose, lipid and bone metabolic pathways, whereas the more physically active rehabilitation period instituted 6 weeks after surgery is hypothesized to impact positively. Perspective This study will establish whether the well-known effects on glucose, lipid and bone metabolism of a sedentary lifestyle can be observed already following 6 weeks of physical inactivity in otherwise healthy and physically fit young and middle aged individuals. Investigators will thereby add knowledge to previous findings following strict bed-rest in healthy individuals on glucose, lipid and bone metabolism. In a clinical perspective it is important to examine the extent to which healthy individuals deteriorate in various metabolic pathways to better understand the pathophysiology behind these defects both in healthy individuals and in patients, who undergo bed rest or an equal reduction in physical activity as part of their rehabilitation. Study design 16 physical active non-diabetic individuals of age 18 - 50 years who are undergoing knee surgical procedures at the Arthroscopic Center at Amager/Hvidovre Hospitals are recruited as cases for this case-control study. 10 non-diabetic control subjects matched for age, gender and physical activity are recruited to establish a reference level. The individuals will bring in morning spot urine for measurement of soluble urokinase plasminogen activating receptor (suPAR), creatinine, albumin and orosomucoid. Weight and height and waist and hip circumference will be measured. Oral glucose tolerance test (OGTT) with ingestion of 75 g glucose during 5 min from baseline (0 min). Plasma for glucose, insulin, C-peptide, non-esterified fatty acid (NEFA) will be drawn Before OGTT blood will be drawn for measurement of HbA1c, total cholesterol, LDL, HDL, triglyceride, Na, K, creatinine, hemoglobin (HgB), C-reactive protein (CRP), leukocytes, alanintransaminase (ALAT), alkaline phosphatase, Ca++, D vitamin, TSH, bone turnover markers (BTM), suPAR, interleukin 6 (IL6), TNFa, high-sensitivity C-reactive protein (hsCRP), lipid density profiling and lipid particle size. Dual energy X-ray absorptiometry (DXA) of hip, lumbar columna, visceral and subcutaneous fat is measured by Hologic Discovery scanner.