Ignite Creation Date:
2025-12-24 @ 10:15 PM
Ignite Modification Date:
2026-01-02 @ 8:47 PM
Study NCT ID:
NCT05054335
Status:
RECRUITING
Last Update Posted:
2025-11-18
First Post:
2019-03-07
Is NOT Gene Therapy:
True
Has Adverse Events:
False
Brief Title:
Patient-Specific Computational Walking Models in Improving Surgical and Rehabilitation Treatment in Patients With Pelvic Sarcomas
Sponsor:
M.D. Anderson Cancer Center
Organization:
Study Overview
Official Title:
CPRIT: Optimizing Surgical and Rehabilitation Treatment of Pelvic Sarcomas Using Computational Models
Status:
RECRUITING
Status Verified Date:
2025-11
Last Known Status:
None
Delayed Posting:
No
If Stopped, Why?:
Not Stopped
Has Expanded Access:
False
If Expanded Access, NCT#:
N/A
Has Expanded Access, NCT# Status:
N/A
Acronym:
None
Brief 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.
Detailed Description:
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.
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.
Study Oversight
Has Oversight DMC:
False
Is a FDA Regulated Drug?:
False
Is a FDA Regulated Device?:
False
Is an Unapproved Device?:
None
Is a PPSD?:
None
Is a US Export?:
None
Is an FDA AA801 Violation?: