Portfolio

Upcoming Event

BME GUEST SPEAKER SEMINAR
"On Prediction in Complex Systems, From Personal Avatars to Inductive Models"
Mohamed Abazeed, M.D., Ph.D.
Staff
Translational Hematololgy Oncology Research
Taussig Cancer Institute
May 18, 2018




 

Client: Jason Halloran Ph.D. and Jack Andrish M.D. / Cleveland Clinic

Services Provided: Experiment Design / Robotic Knee Joint Testing / Data Analysis

Patellofemoral complications, including femoral trochlear dysplasia, are the single largest reason for knee related clinical visits. Trochlear dysplasia is a morphological abnormality that can lead to patellar instability and dislocation. Trochlear osteotomy, literally raising the anterior surface of the lateral condyle, is considered a viable intervention procedure for symptomatic knees. Development of a pre-surgical planning tool able to address this issue, as well as many others, will lead to fewer complications and improved patient satisfaction. Such a framework requires predictive capabilities found through systematic validation and correlation with clinical outcomes. Towards the goal of development and validation of such a platform, the objective of this study was to compare specimen-specific explicit finite element (FE) predicted contact mechanics with experimental results before and after trochlear osteotomy. Novelty is included as previous patellofemoral studies, experimental or computational, have not quantified the effects surgical intervention on resulting contact mechanics. An explicit framework was chosen to evaluate robustness and potential computational efficiency.