Computer Walking Models to Plan Surgery and Rehabilitation for Pelvic Sarcoma
Tests computer models of walking to plan surgery and rehabilitation for adults with pelvic sarcoma.
Plain-language title generated from the registry record
Registry title: Patient-Specific Computational Walking Models in Improving Surgical and Rehabilitation Treatment in Patients With Pelvic Sarcomas
Key facts
- Where
- Houston, United StatesSee the site
Where in United States
- M D Anderson Cancer CenterHouston, United StatesTaking people
Questions to ask the study team
- How often do I need to come in, and for how long each time?
- Are travel costs paid?
- Can I keep my own doctor?
- What happens if I want to stop?
Trial details
- Who runs it
- M.D. Anderson Cancer Center
- Trial code
- NCT05054335
- Record updated
- 10 November 2026
- Original description
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.Read full original descriptionShow less
CPRIT: Optimizing Surgical and Rehabilitation Treatment of Pelvic Sarcomas Using Computational Models
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.
Inclusion: 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: Previous surgery or significant injury to either hip (prospective patients only); Radiological exclusion criteria (assessed after MR scan is conducted on the first visit, prior to DSX/CT radiation exposure): evidence on preliminary MRI of fracture, slipped capital femoral epiphysis (SCFE), masses, lesions, or other anomalies not consistent with an FAI diagnosis; 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); 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; Patients who have undergone an external (hindquarter amputated), or an isolated type III internal hemipelvectomy; Pregnant women or women nursing an infant.