An interventional study of Motion capture and MR scan in Patient Specific Computational Modeling, sponsored by University of Southampton. Completed at 1 site in United Kingdom. Open to participants aged 18 Years and older, including healthy volunteers. Per ClinicalTrials.gov, last updated 2018-11-15.
Sponsored by University of Southampton · Not applicable, Interventional, and Basic science
The proximal interphalangeal (PIP) joint is the second joint in the finger from the finger tip. The outcome following replacement surgery of this joint is considered unsatisfactory. In order to improve these outcomes, it would be helpful to understand the geometry of the joint, how it moves and the forces that are involved. This can be achieved using computer models that model the bones and the soft tissues - musculoskeletal models. In order to make these models as representative as possible, they should be generated using anatomical data.
Data will initially be extracted from patients' existing magnetic resonance imaging (MRI) and computed tomography (CT) scans. This will enable the computer model to begin being constructed. In parallel to the model initialisation, anatomical and motion data of the PIP joint of healthy volunteers will be collected. The necessary data will be collected using CT and MRI scans, as well as optical motion tracking methods. These data will then be used to populate the musculoskeletal model.
Once the model is constructed, it will be used to simulate the motion of the joint and look at the effect of a simulated PIP joint replacement. This information should then provide insight as to how PIP joint replacements might be improved in future.
University of Southampton is the lead sponsor of 121 studies on the registry; 19 are open to participants now.
Counted across the registry records on this site, refreshed daily.
Exclusion Criteria:
All volunteers will go through the same data collection process
Other: Motion capture · Diagnostic Test: MR scan · Diagnostic Test: CT scan
Capture kinematics of finger movements
Capture MR images of hand and fingers in three postures
Capture CT images of hand and fingers in three postures
Capturing hand kinematics using Vicon optical motion capture
Capture hand kinematics of 10 healthy volunteers
Time frame: 3 years
Capturing images of the soft tissue in the hand using MR imaging
Capture MR images of the hand for same 10 healthy volunteers as Outcome 1
Time frame: 3 years
Capturing images of the bony structures in the hand using CT scanning
Capture CT images of the hand for same 10 healthy volunteers as Outcome 1
Time frame: 3 years
Plan to share: No
This study is completed, as verified in Nov 2018. You cannot join it, but the record below documents what was studied.
Get an email when the registry record changes — status, dates, results — or when someone posts here.
Sign in to followQuestions and observations about this study, from anyone following it. Not medical advice, and not a channel to the study team — their contact details are on the registry record.
Sign in to join the discussion. Reading takes no account; posting does. You choose a display name, and a pseudonym is the default.
Nothing here yet. If you are running this trial, taking part in it, or weighing whether to, this is the place to say so.
University of Southampton