Osteoarthrosis Clinical Trial
Total knee replacement is one of the most commonly performed orthopedic procedures. As of
2010, about 600,000 total knee replacements were being performed annually in the United
States and these numbers are rising. The normal knee joint functions as a complex hinge
allowing primarily flexion and extension, rotation and gliding. The knee joint is made up of
three compartments, the lateral, medial and anterior (patellofemoral). Damage to the
cartilage of one or more compartments may be the result of osteoarthritis (idiopathic or
post-traumatic), inflammatory arthritis (rheumatoid,psoriatic, etc.), a-vascular necrosis,
tumors, or congenital deformities. Osteoarthritis and rheumatoid arthritis are the causes of
the overwhelming majority of total joint arthroplasties.
A successful Total knee arthroplasty(TKA) surgery includes: an accurate alignment( the
mechanical axis in axial and rotational planes), as well as significant pain relief which
improves function and quality of life. Incorrect alignment can lead to abnormal wear,
premature mechanical loosening of the components and patellofemoral problems.
The common techniques for Total knee replacement are:
1. Conventional method TKR
2. CT/MRI-based preoperative navigated TKR
3. Image-free intraoperative navigated TKR In our research we focus on the 3rd method
using the Orthopilot navigation system Aesculap®, Tutlingen, Germany. This system is an
active PC based guiding system that helps the surgeon decide on the accurate alignment
and orientation of the implant and cutting surfaces of the bone and thus avoid
incorrect alignment.
We aim to compare between pre-operative and post-operative lower limb alignment (mechanical
axis) in Aesculap based TKA using serview CT. Furthermore, we will try to examine the
existence of a correlation between the CT scans and the Orthopilot navigation system output
and assess the clinical outcome of the patient postoperatively.
Our Hypothesis is that the intra-operative navigation system is accurate and correlated to
CT images results, moreover, allows the surgeon to achieve a good mechanical axis and high
clinical outcome,
n/a
Observational Model: Cohort, Time Perspective: Retrospective
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