Patient-Specific Computational Walking Models in Improving Surgical and Rehabilitation Treatment in Patients With Pelvic Sarcomas
NCT05054335 · Status: RECRUITING · Phase: NA · Type: INTERVENTIONAL · Enrollment: 130
Last updated 2026-05-20
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.
Conditions
- Pelvic Sarcoma
Interventions
- OTHER
-
Functional Assessment
Undergo walking function assessment with optical motion capture
- PROCEDURE
-
X-Ray Imaging
Undergo bi-plane dynamic X-ray imaging
Sponsors & Collaborators
-
National Cancer Institute (NCI)
collaborator NIH -
M.D. Anderson Cancer Center
lead OTHER
Principal Investigators
-
Valerae O Lewis · M.D. Anderson Cancer Center
Study Design
- Allocation
- NON_RANDOMIZED
- Purpose
- SUPPORTIVE_CARE
- Masking
- NONE
- Model
- SINGLE_GROUP
Eligibility
- Min Age
- 18 Years
- Sex
- ALL
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2019-06-20
- Primary Completion
- 2027-12-21
- Completion
- 2027-12-21
Countries
- United States
Study Locations
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