Identifying lymphoedema and obesity using model-based data fusion V1.1
Research type
Research Study
Full title
Identifying lymphoedema patients with and without obesity using a modelling-based data-fusion approach.
IRAS ID
331614
Contact name
Raoul Van-Loon
Contact email
Sponsor organisation
Swansea University
Duration of Study in the UK
0 years, 6 months, 1 days
Research summary
Participants who are willing to volunteer in the study will be existing patients from the Lymphoedema Service at Swansea Bay University Health Board who have been diagnosed with lymphoedema. To be included, patients must be diagnosed with lymphoedema in their leg(s) and must have a BMI>35 or a BMI<30. These inclusion criteria are important to make accurate comparisons between participant data from the study. All patients will undergo testing of the skin using three non-invasive devices; a cutometer, a moisture meter, and an ultrasound. Giving skin property results for elasticity, moisture of the skin, and an ultrasound image of the top two layers of the skin to measure thickness, respectively. The skin property data for each participant will be used to determine any correlations or trends in patients who have lymphoedema with and without obesity. Furthermore, the skin properties may help to distinguish between lymphoedema +/- obesity. Furthermore, this contributes to the development of computational models to simulate the medical devices, and thereafter, the development of a machine learning model for parameter estimation.
REC name
Wales REC 4
REC reference
24/WA/0085
Date of REC Opinion
30 Apr 2024
REC opinion
Further Information Favourable Opinion