3D patterns of shoulder impairment
Research type
Research Study
Full title
A non-interventional, cross-sectional, comparison of motion capture analysis of kinematic patterns of shoulder movement with MRI or ultrasound outcomes in patients with shoulder problems.
IRAS ID
254569
Contact name
Niel Kang
Contact email
Sponsor organisation
Cambridge University Hospitals NHS Foundation Trust
Duration of Study in the UK
1 years, 0 months, 1 days
Research summary
Currently there is no clear way of determining the success of treatments for shoulder problems in terms of accurate measurement of the amount of movement that patients can perform. 3-dimensional motion capture technology has the potential to address this issue. However, we do not know yet if it is of use in identifying improvement in shoulder movements or if it has the potential to help diagnose shoulder problems.
Our study aims to assess how acceptable the process of motion capture is to patients, as well as looking at its ability to provide an accurate and easy to understand measurement of shoulder function. We hope to be able to improve patient engagement and understanding of their improvement throughout their treatment.
Ultimately, we hope to be able to provide this type of assessment in the community setting - diagnosing conditions in the shoulder using readily available, low cost technology and computer programs that can interpret patterns of movement. In addition, we hope that an objective way of assessing surgical outcomes will reduce the burden on scanning departments and rationalise treatments we provide in the NHS.
REC name
London - Hampstead Research Ethics Committee
REC reference
21/PR/1566
Date of REC Opinion
7 Jan 2022
REC opinion
Further Information Favourable Opinion