Patient identifiers such as gender, race and ethnicity cannot be predict the shape of a person’s knee, a study published in Knee found.
The study, published March 19, looked at the shapes of about 1,000 knee joints acquired by CT scan. Two comprehensive sets of features have been used to describe bone shapes. One was based on morphological measurements and the other on statistical shape model weights.
The researchers performed a cluster analysis with different algorithms, and the clusters were evaluated with several measures. The data revealed a low tendency to form clusters.
The study concluded: “After anisotropic normalization by size, which removes differences related to size and aspect ratio, the data showed no morphotype. This showed that there are no hidden variables relevant factors, for example gender, body type or ethnicity, which influence the shape of the knee joint.Instead, the shape of the knee is very individual.
Orthopedic device maker Conformis helped fund the study and provided the CT scan images to the researchers, according to a May 24 press release.
“This new research reinforces the importance of precisely matching the implant to each patient,” said Conformis CEO and President Mark Augusti. mentioned in the release. “This study further supports our long-standing business case that fully customized implants provide the best fit for patients, eliminate clinically significant overhang, minimize postoperative pain, speed recovery time, and improve flexibility and performance. “