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

Conditions

• Pelvic Sarcoma

Eligibility Criteria

Sex

ALL

Age

18 Years - N/A

Healthy Volunteers

Not accepted

Interventions

• Functional Assessment — OTHER
  Undergo walking function assessment with optical motion capture
• X-Ray Imaging — PROCEDURE
  Undergo bi-plane dynamic X-ray imaging

Study Details

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.

Key Dates

Start date

Jun 20, 2019

Status verified

May 2026

Primary completion

Dec 21, 2027

Completion

Dec 21, 2027

Study Design

Enrollment

130 participants (estimated)

Allocation

NON_RANDOMIZED

Intervention model

SINGLE_GROUP

Primary purpose

SUPPORTIVE_CARE

Arms

• Experimental: Supportive care (walking function test, X-ray)
  Patients undergo walking function assessment using optical motion capture and bi-plane dynamic X-ray imaging pre- and post-hemipelvectomy.
• No Intervention: Retrospective Group
  1. Acquisition of pre- and post-operative MRI data of the pelvic region (when available) collected previously as part of standard clinical care 2. Acquisition of pre-operative CT data of the pelvic region (when available) collected previously as part of standard clinical care 3. Acquisition of Physical Therapy Assessment data collected previously by a physical therapist and/or physical therapist assistant under protocol PA12-1046

Primary Outcome Measure

To establish the patient-specific computational models to inform surgical decisions and design custom implants that maximize post-surgery function. [ Time Frame: through study completion, an average of 1 year ]

Central Contacts

• Valerae O Lewis, BS,MD
  (713) 792-5073
  [email protected]

Locations (1)

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