Clinical Research Directory

The Use of CCK vs PS in Revision TKAs

This study aims to compare the clinical impact of Constrained Condylar versus Posterior Stabilized Knee (PS) bearings on patient satisfaction and surgical outcomes including mid-term survivorship among patients undergoing revision total knee arthroplasty.

Artificial Intelligence to Detect Early Total Knee Replacement Implant Failure

The goal of this trial is to investigate whether Machine Learning (ML) can be used to detect small degrees of loosening, lucent zones, or any other changes on radiographs that might predict early failure following NexGen total knee replacement. Researchers will identify plain AP and lateral plain film radiographs from two groups of patients. Those who has NexGen total knee replacements (TKRs) that went on to failure, and those who has well performing TKRs. Radiographs from these two groups will be labelled as 'failure' and 'well performing' and will be processed through a machine learning algorithm. The algorithm will be successful if it is able to detect a NexGen TKR that went on to failure or went on to perform well. This will be determined by using a test set. The population will be adults who had the recalled a NexGen Total Knee Replacement with a standard tibial tray. It will include adults only, who has the TKR at University Hospitals Southampton between 2003 and 2022. Failure will be defined as revision of tibial or femoral components which is likely due to aspectic loosening. It will exclude washouts, exchange of poly, peri-prosthetic fractures, microbiologically confirmed infection. Well performing TKRs will be defined as patients who have had their TKR in situ for 10 years and have reported no significant symptoms.

DIGITAL-KNEE Study: Adequately Diagnosing Total Knee Arthroplasty Loosening by Evaluating the AtMoves Knee System in a Routine Clinical Setting

The goal of the clinical trial is to evaluate the efficacy of the AtMoves Knee System in the clinical diagnostic process of aseptic loosening in patients with a knee prosthesis. The main question it aims to answer is: Does the use of the AtMoves Knee System reduce the percentage of failed outcomes? A "failed outcome" is defined as a change in the patient-reported Knee injury and Osteoarthritis Outcome Score (KOOS-PS) that is lower than the minimal clinically important difference at 12 months. Researchers will compare two groups: The first group will undergo an additional CT scan using the AtMoves Knee System. The second group will not undergo these scans. Both groups are allowed to undergo additional diagnostic measures. Researchers will compare the percentage of "failed outcomes" between these groups. During the one-year follow-up, participants in both groups will be asked to fill out questionnaires.