View clinical trials related to Knee Injuries.
Filter by:The purpose of this study is to ascertain whether 4 weeks of daily virtual-reality-based rehabilitation at home improves disability in the early stages of recovery from anterior cruciate ligament reconstruction surgery compared with standard care.
Compare of the effectiveness of the use of ropivacaine and midazolam by intraarticular vs epidural administration on post-operative analgesia after isolated arthroscopic anterior cruciate ligament (ACL) reconstruction with hamstring autograft.
This is a prospective randomized controlled trial with the purpose to determine if patients undergoing isolated posterior cruciate ligament (PCL) reconstruction, or isolated medial collateral ligament (MCL) reconstruction, or combined PCL, anterior cruciate ligament (ACL), fibular collateral ligament (FCL), posterolateral corner (PLC), and MCL reconstructions (or any combination of multiple ligaments) can safely begin partial controlled weightbearing for the first six weeks after surgery.
This is a prospective randomized controlled trial with the purpose to determine if patients undergoing fibular collateral ligament (FCL) reconstruction alone or combined FCL and anterior cruciate ligament (ACL) reconstructions can safely begin full controlled weightbearing for the first six weeks after surgery.
Single-center pilot prospective observational study to determine feasibility of assessing meniscal tissue vascularity using dynamic contrast-enhanced fluorescence arthroscopy
The purpose of this study is to determine the effects of one week of knee-joint immobilization on muscle size, strength, neuromuscular function, and brain function. In addition, the effects of two different interventions (i.e., neuromuscular electrical stimulation and action observation/mental imagery) throughout immobilization will be determined. Following the immobilization period, participants that have lost strength will be rehabilitated with twice weekly resistance training sessions, and sex-based differences in rehabilitation timelines will be examined.
An adequate balance between analgesia and motor function is an essential requirement to facilitate functional recovery and early discharge after anterior cruciate ligament (ACL) reconstruction surgery. Proximal nerve blocks (i.e. femoral and sciatic nerve blocks) are associated with optimal analgesia, but they can cause muscle weakness, interfering with rehabilitation and increasing the risk of falls . A recent randomized controlled trial concluded that, compared to mid-and distal ACB, a distal femoral triangle block (FTB) is associated with lower opioid consumption and improved postoperative analgesia for ambulatory ACL reconstruction. In ACL reconstruction surgery there are other potential sources of pain not covered by a FTB, such as intra-articular structures (menisci, cruciate ligaments), posterior knee capsule and the graft donor site. Evidence supporting the addition of an IPACK block to a FTB has been studied for patients undergoing total knee replacement, nonetheless, there is no trial analyzing the analgesic contribution of IPACK to a FTB in the context of ACL reconstruction surgery. In this multicentric trial, the investigators set out to analyze the analgesic benefit of adding an IPACK block to a FTB.
Interventional, comparative, randomized, controlled study versus standard treatment, in 3 parallel groups, monocentric, aiming to demonstrate the superiority of preoperative cryoneurolysis versus no procedure, in patients operated on for knee arthroplasty and receiving standard analgesia.
The purpose of this study is to report the feasibility and determine the initial effects of 18 sessions of real-time gait biofeedback delivered over a 6-week period on retention and transfer of normalized gait biomechanics and improvements in indicators of early post-traumatic osteoarthritis development in those with an anterior cruciate ligament reconstruction (ACLR) at 6 and 8-week posttests.
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.