Patient-Specific Computational Walking Models in Improving Surgical and Rehabilitation Treatment in Patients With Pelvic Sarcomas

PRIMARY OBJECTIVES: I. To develop patient-specific computational walking models to predict the optimal combination of pelvic sarcoma surgical and rehabilitation decisions that will maximize each patient's post-surgery walking function. II. To collect experimental movement and imaging data prospectively and retrospectively from individuals who have already received, or are going to receive, a type I or type II hemipelvectomy. III. To use the data to develop computational modeling and simulation methodologies that can predict an individual patient's post-surgery walking function given pre-surgery movement and imaging data and the surgical decisions made by the surgeon. OUTLINE: Patients undergo walking function assessment using optical motion capture and bi-plane dynamic X-ray imaging pre- and post-hemipelvectomy.