Between 1989 and 1992 we had 102 knees suitable for unicompartmental knee replacement (UKR). They were randomised to receive either a St Georg Sled UKR or a Kinematic modular total knee replacement (TKR). The early results demonstrated that the UKR group had less complications and more rapid rehabilitation than the TKR group. At five years there were an equal number of failures in the two group...

It is suggested that unicompartmental knee replacement (UKR) offers the potential to restore normal knee kinematics better than total knee replacement (TKR) because of retaining the cruciate ligaments, and better preservation of the overall geometry. It was hypothesized that patient-specific UKR would restore normal knee kinematics even better because of a customised articular shape. A comparat...

We randomised 102 knees suitable for a unicompartmental replacement to receive either a unicompartmental (UKR) or total knee replacement (TKR) after arthrotomy. Both groups were well matched with a predominance of females and a mean age of 69 years. Patients in the UKR group showed less perioperative morbidity, but regained knee movement more rapidly and were discharged from hospital sooner. At...

Introduction Unicompartmental knee replacement (UKR) is an increasingly popular surgical intervention for the treatment of osteoarthritis, involving the replacement of only one compartment of the natural knee. There is promising clinical literature which shows excellent long term survivorship of both fixed and mobile bearing UKR, with fixed bearings showing more consistent long-term performance...

We present a system for sensory classification and segmentation of motion trajectories. It consists of a combination of manifolds from Unsupervised Kernel Regression (UKR) and the recurrent neural Competitive Layer Model (CLM). The UKR manifolds hold learned representations of a set of candidate motions and the CLM dynamics, working on features defined in the UKR domain, realises the segmentati...

Unsupervised kernel regression (UKR), the unsupervised counterpart of the Nadaraya-Watson estimator, is a dimension reduction technique for learning of low-dimensional manifolds. It is based on optimizing representative low-dimensional latent variables with regard to the data space reconstruction error. The problem of scaling initial local linear embedding solutions, and optimization in latent ...

BACKGROUND Total knee replacement (TKR) or unicompartmental knee replacement (UKR) are options for end-stage osteoarthritis. However, comparisons between the two procedures are confounded by differences in baseline characteristics of patients undergoing either procedure and by insufficient reporting of endpoints other than revision. We aimed to compare adverse outcomes for each procedure in mat...

BACKGROUND AND OBJECTIVE Patients with anteromedial arthritis who require a knee replacement could receive either a unicompartmental knee replacement (UKR) or a total knee replacement (TKR). This review has been undertaken to identify economic evaluations comparing UKR and TKR, evaluate the approaches that were taken in the studies, assess the quality of reporting of these evaluations, and cons...

There is currently a growing demand for unicompartmental knee replacement (UKR) to treat degenerative osteoarthritis or osteonecrosis of a single compartment of the knee. This procedure has evolved significantly over the past three decades and we here present a brief review of the literature on this topic. This historical overview traces the hypotheses that have led to the modern state of the a...

We reviewed the rate of revision of unicompartmental knee replacements (UKR) from the New Zealand Joint Registry between 1999 and 2008. There were 4284 UKRs, of which 236 required revision, 205 to a total knee replacement (U2T) and 31 to a further unicompartmental knee replacement (U2U). We used these data to establish whether the survival and functional outcome for revised UKRs were comparable...