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Statistical shape modeling describes variation in tibia and femur surface geometry between Control and Incidence groups from the Osteoarthritis Initiative database

We hypothesize that variability in knee subchondral bone surface geometry will differentiate between patients at risk and those not at risk for developing osteoarthritis (OA) and suggest that statistical shape modeling (SSM) methods form the basis for developing a diagnostic tool for predicting the...

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Detalhes bibliográficos
Main Authors: Bredbenner, Todd L., Eliason, Travis D., Potter, Ryan S., Mason, Robert L., Havill, Lorena M., Nicolella, Daniel P.
Formato: Artigo
Idioma:Inglês
Publicado em: 2010
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC2997679/
https://ncbi.nlm.nih.gov/pubmed/20227696
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.jbiomech.2010.02.015
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