Patient-Specific Computational Walking Models in Improving Surgical and Rehabilitation Treatment in Patients With Pelvic Sarcomas
CPRIT: Optimizing Surgical and Rehabilitation Treatment of Pelvic Sarcomas Using Computational Models
M.D. Anderson Cancer Center
130 participants
Jun 20, 2019
INTERVENTIONAL
Conditions
Summary
This trial studies the development of patient-specific computational walking models to improve the surgical planning and rehabilitation treatment of patients with pelvic sarcomas. Every pelvis and pelvic sarcoma are different, and the orthopedic oncologist faces significant challenges when removing a tumor from the complex anatomy of the pelvis. These challenges make it difficult to achieve excellent oncological and functional outcomes together. Computational walking models may be used to predict the best combination of surgical methods and how to implement them to maximize each patient's post-surgery walking function.
Eligibility
Inclusion Criteria2
- Patients who have received or are scheduled to receive an internal hemipelvectomy with or without reconstruction at UT MD Anderson Cancer Center.
- Patients who are 18 years of age and older
Exclusion Criteria5
- Patients who have undergone an external (hindquarter amputated), or an isolated type III internal hemipelvectomy.
- Previous surgery or significant injury to either hip (prospective patients only)
- Relevant surgery, procedure, injury, or condition in the last two years which may affect hip pain or general movement patterns on either side (prospective patients only)
- Pregnant women or women nursing an infant
- Persons with a pacemaker, hearing aid, aneurysm clips or artificial heart valves, and other forms of loose metal implants will be excluded from the study as assessed by a pre-MRI questionnaire administered by the MRI technician at the time of the scan.
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Interventions
Undergo walking function assessment with optical motion capture
Undergo bi-plane dynamic X-ray imaging
Locations(1)
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NCT05054335