Aims. This study compared patient-reported outcomes of three
Aims. The aim of this study was to compare a bicruciate-retaining (BCR)
Aims. The aim of this study was to describe the prevalence and patterns of neuropathic pain over one year in a cohort of patients with chronic post-surgical pain at three months following
Aims. The Coronal Plane Alignment of the Knee (CPAK) classification has been developed to predict individual variations in inherent knee alignment. The impact of preoperative and postoperative CPAK classification phenotype on the postoperative clinical outcomes of
Aims. The aim of this study was to estimate the 90-day periprosthetic joint infection (PJI) rates following
Aims. Intraoperative pressure sensors allow surgeons to quantify soft-tissue balance during
Aims. The aim of this study was to compare the clinical outcomes of robotic arm-assisted bi-unicompartmental knee arthroplasty (bi-UKA) with conventional mechanically aligned
Aims. To assess how the cost-effectiveness of total hip arthroplasty (THA) and
Aims. The aim of this study was to compare robotic arm-assisted bi-unicompartmental knee arthroplasty (bi-UKA) with conventional mechanically aligned
Aims. A comprehensive classification for coronal lower limb alignment with predictive capabilities for knee balance would be beneficial in
Aims. Stiffness is a common complication after
Aims. The EuroQol five-dimension (EQ-5D) questionnaire is a widely used multiattribute general health questionnaire where an EQ-5D < 0 defines a state ‘worse than death’ (WTD). The aim of this study was to determine the proportion of patients awaiting total hip arthroplasty (THA) or
Aims. Many surgeons choose to perform
Aims. There has been a recent resurgence in interest in combined partial knee arthroplasty (PKA) as an alternative to
Aims. It is unknown whether kinematic alignment (KA) objectively improves knee balance in
Aims. Responsiveness to clinically important change is a key feature of any outcome measure. Throughout Europe, health-related quality of life following
The surgical target for optimal implant positioning in robotic-assisted total knee arthroplasty remains the subject of ongoing discussion. One of the proposed targets is to recreate the knee’s functional behaviour as per its pre-diseased state. The aim of this study was to optimize implant positioning, starting from mechanical alignment (MA), toward restoring the pre-diseased status, including ligament strain and kinematic patterns, in a patient population. We used an active appearance model-based approach to segment the preoperative CT of 21 osteoarthritic patients, which identified the osteophyte-free surfaces and estimated cartilage from the segmented bones; these geometries were used to construct patient-specific musculoskeletal models of the pre-diseased knee. Subsequently, implantations were simulated using the MA method, and a previously developed optimization technique was employed to find the optimal implant position that minimized the root mean square deviation between pre-diseased and postoperative ligament strains and kinematics.Aims
Methods
Aims. To compare the gait of unicompartmental knee arthroplasty (UKA)
and
There is conflicting evidence about the benefit
of using corticosteroid in periarticular injections for pain relief
after